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Results list Most used separation protocols Top EV-enriched proteins

Details	EV-TRACK ID	Experiment nr.	Species	Sample type	separation protocol	First author	Year	EV-METRIC
	EV200153	2/6	Homo sapiens	Cell culture supernatant	DG (d)(U)C Filtration	Grace Truong	2017	45%
Study summary Full title Oxygen tension regulates the miRNA profile and bioactivity of exosomes released from extravillous trophoblast cells - Liquid biopsies for monitoring complications of pregnancy All authors Grace Truong, Dominic Guanzon, Vyjayanthi Kinhal, Omar Elfeky, Andrew Lai, Sherri Longo, Zarin Nuzhat, Carlos Palma, Katherin Scholz-Romero, Ramkumar Menon, Ben W Mol, Gregory E Rice, Carlos Salomon Journal PLoS One Abstract Our understanding of how cells communicate has undergone a paradigm shift since the recent recogniti (show more...)Our understanding of how cells communicate has undergone a paradigm shift since the recent recognition of the role of exosomes in intercellular signaling. In this study, we investigated whether oxygen tension alters the exosome release and miRNA profile from extravillous trophoblast (EVT) cells, modifying their bioactivity on endothelial cells (EC). Furthermore, we have established the exosomal miRNA profile at early gestation in women who develop pre-eclampsia (PE) and spontaneous preterm birth (SPTB). HTR-8/SVneo cells were used as an EVT model. The effect of oxygen tension (i.e. 8% and 1% oxygen) on exosome release was quantified using nanocrystals (Qdot®) coupled to CD63 by fluorescence NTA. A real-time, live-cell imaging system (Incucyte™) was used to establish the effect of exosomes on EC. Plasma samples were obtained at early gestation (<18 weeks) and classified according to pregnancy outcomes. An Illumina TrueSeq Small RNA kit was used to construct a small RNA library from exosomal RNA obtained from EVT and plasma samples. The number of exosomes was significantly higher in EVT cultured under 1% compared to 8% oxygen. In total, 741 miRNA were identified in exosomes from EVT. Bioinformatic analysis revealed that these miRNA were associated with cell migration and cytokine production. Interestingly, exosomes isolated from EVT cultured at 8% oxygen increased EC migration, whilst exosomes cultured at 1% oxygen decreased EC migration. These changes were inversely proportional to TNF-α released from EC. Finally, we have identified a set of unique miRNAs in exosomes from EVT cultured at 1% oxygen and exosomes isolated from the circulation of mothers at early gestation, who later developed PE and SPTB. We suggest that aberrant exosomal signalling by placental cells is a common aetiological factor in pregnancy complications characterised by incomplete SpA remodeling and is therefore a clinically relevant biomarker of pregnancy complications. (hide) EV-METRIC 45% (79th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name HTR-8/SVneo Sample origin 1% oxygen Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography Density gradient (Differential) (ultra)centrifugation Filtration Protein markers EV: CD63 non-EV: None Proteomics no EV density (g/ml) 1.13-1.19 Show all info Study aim Function/Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition 1% oxygen EV-producing cells HTR-8/SVneo EV-harvesting Medium EV-depleted medium Preparation of EDS Not specified Cell number specification No Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type Surespin 630/36 Pelleting: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type Not specified Speed (g) 100000 Duration (min) 1080 Fraction volume (mL) Not specified Fraction processing Centrifugation Pelleting: volume per fraction Not spec Pelleting: duration (min) 120 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Hardware adjustments Fluorescent NTA Relevant measurements variables specified? NA Detected EV-associated proteins CD63 Characterization: Particle analysis NTA Report type Size range/distribution Reported size (nm) 108+/-15 EV concentration Yes

	EV200146	1/2	Homo sapiens	Blood plasma	"DG (d)(U)C Filtration"	Salomon, Carlos	2017	44%
Study summary Full title Placental Exosomes as Early Biomarker of Preeclampsia: Potential Role of Exosomal MicroRNAs Across Gestation All authors Carlos Salomon, Dominic Guanzon, Katherin Scholz-Romero, Sherri Longo, Paula Correa, Sebastian E Illanes, Gregory E Rice Journal J Clin Endocrinol Metab Abstract Context: There is a need to develop strategies for early prediction of patients who will develop pre (show more...)Context: There is a need to develop strategies for early prediction of patients who will develop preeclampsia (PE) to establish preventive strategies to reduce the prevalence and severity of the disease and their associated complications. Objective: The objective of this study was to investigate whether exosomes and their microRNA cargo present in maternal circulation can be used as early biomarker for PE. Design, setting, patients, and interventions: A retrospective stratified study design was used to quantify total exosomes and placenta-derived exosomes present in maternal plasma of normal (n = 32 per time point) and PE (n = 15 per time point) pregnancies. Exosomes present in maternal circulation were determined by nanoparticle tracking analysis. An Illumina TruSeq® Small RNA Library Prep Kit was used to construct a small RNA library from exosomal RNA obtained from plasma samples. Results: In presymptomatic women, who subsequently developed PE, the concentration of total exosomes and placenta-derived exosomes in maternal plasma was significantly greater than those observed in controls, throughout pregnancy. The area under the receiver operating characteristic curves for total exosome and placenta-derived exosome concentrations were 0.745 ± 0.094 and 0.829 ± 0.077, respectively. In total, over 300 microRNAs were identified in exosomes across gestation, where hsa-miR-486-1-5p and hsa-miR-486-2-5p were identified as the candidate microRNAs. Conclusions: Although the role of exosomes during PE remains to be fully elucidated, we suggest that the concentration and content of exosomes may be of diagnostic utility for women at risk for developing PE. (hide) EV-METRIC 44% (79th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Healthy pregnant Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography "Density gradient (Differential) (ultra)centrifugation Filtration" Protein markers EV: "TSG101/ PLAP" non-EV: None Proteomics no EV density (g/ml) 1.12-1.19 Show all info Study aim "Biomarker/Identification of content (omics approaches)" Sample Species Homo sapiens Sample Type Blood plasma Sample Condition Healthy pregnant Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type T-8100 Pelleting: speed (g) 100000 Wash: volume per pellet (ml) 10 Wash: time (min) 120 Wash: Rotor Type T-8100 Wash: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type T-8100 Speed (g) 100000 Duration (min) 1200 Fraction volume (mL) 0.05 Fraction processing Centrifugation Pelleting: volume per fraction 0.05 Pelleting: duration (min) 120 Pelleting: rotor type T-8100 Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins TSG101 ELISA Antibody details provided? Yes Antibody dilution provided? Yes Detected EV-associated proteins PLAP Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Size range/distribution Reported size (nm) 40-130nm EM EM-type Transmission-EM Image type Close-up

	EV200114	2/4	Homo sapiens	Blood plasma	DG (d)(U)C	Omar Elfeky	2017	44%
Study summary Full title Influence of maternal BMI on the exosomal profile during gestation and their role on maternal systemic inflammation All authors Omar Elfeky, Sherri Longo, Andrew Lai, Gregory E Rice, Carlos Salomon Journal Placenta Abstract Recent studies report that 35% of women are either overweight or obese at reproductive age. The plac (show more...)Recent studies report that 35% of women are either overweight or obese at reproductive age. The placenta continuously releases exosomes across gestation and their concentration is higher in pregnancy complications. While there is considerable interest in elucidating the role of exosomes during gestation, important questions remain to be answered: i) Does maternal BMI affect the exosomal profile across gestation? and ii) What is the contribution of placenta-derived exosomes to the total number of exosomes present in maternal plasma across gestation? Plasma samples were classified according to the maternal BMI into three groups (n = 15 per group): Lean, overweight, and obese. Total exosomes and specific placenta-derived exosomes were determined by Nanoparticle Tracking Analysis (NanoSight™) using quantum dots coupled with CD63 or PLAP antibodies. The effect of exosomes on cytokine (IL-6, IL-8, IL-10 and TNF-α) release from endothelial cells was established by cytokine array analysis (Bioplex-200). The total number of exosomes present in maternal circulation was strongly correlated with maternal BMI. Between ∼12% and ∼25% of circulating exosomes in maternal blood are of placental origin during gestation, and the contribution of placental exosomes to the total exosomal population decreases with higher maternal BMI across gestation. Exosomes increase IL-6, IL-8 and TNF-α release from endothelial cells, an effect even higher when exosomes were isolated from obese women compared to lean and overweight. This study established that maternal BMI is a factor that explains a significant component of the variation in the exosomes data. Exosomes may contribute to the maternal systemic inflammation during pregnancy. (hide) EV-METRIC 44% (79th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Healthy pregnant Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography Density gradient (Differential) (ultra)centrifugation No extra separation steps Protein markers EV: CD63/ PLAP/ IgG1 non-EV: None Proteomics no EV density (g/ml) 1.12-1.19 Show all info Study aim Function/Biomarker Sample Species Homo sapiens Sample Type Blood plasma Sample Condition Healthy pregnant Separation Method Differential ultracentrifugation centrifugation steps Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 1200 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Density gradient Only used for validation of main results Yes Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Sample volume (mL) 0.5mL Orientation Top-down Rotor type Not specified Speed (g) 100000 Duration (min) 1200 Fraction volume (mL) Not specified Fraction processing Not specified Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins CD63 Fluorescent NTA Relevant measurements variables specified? NA Detected EV-associated proteins PLAP/ IgG1/ CD63 Characterization: Particle analysis DLS Report type Mean Reported size (nm) 102 Used for determining EV concentration? Yes NTA Report type Not Reported EV concentration Yes EM EM-type Transmission-EM Image type Close-up

	EV170053	1/1	Homo sapiens	Cell culture supernatant	(d)(U)C	Pérez-Boza J	2017	44%
Study summary Full title Exploring the RNA landscape of endothelial exosomes. All authors Pérez-Boza J, Lion M, Struman I Journal RNA Abstract Exosomes are small extracellular vesicles of around 100 nm of diameter produced by most cell types. (show more...)Exosomes are small extracellular vesicles of around 100 nm of diameter produced by most cell types. These vesicles carry nucleic acids, proteins, lipids, and other biomolecules and function as carriers of biological information in processes of extracellular communication. The content of exosomes is regulated by the external and internal microenvironment of the parent cell, but the intrinsic mechanisms of loading of molecules into exosomes are still not completely elucidated. In this study, by the use of next-generation sequencing we have characterized in depth the RNA composition of healthy endothelial cells and exosomes and provided an accurate profile of the different coding and noncoding RNA species found per compartment. We have also discovered a set of unique genes preferentially included (or excluded) into vesicles. Moreover, after studying the enrichment of RNA motifs in the genes unequally distributed between cells and exosomes, we have detected a set of enriched sequences for several classes of RNA. In conclusion, our results provide the basis for studying the involvement of RNA-binding proteins capable of recognizing RNA sequences and their role in the export of RNAs into exosomes. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name HUVEC Sample origin Control condition Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 232.7 (pelleting) / 232.7 (washing) Protein markers EV: CD81/ ANXA2/ CD63/ CD9 non-EV: CytochromeC Proteomics no Show all info Study aim Biogenesis/cargo sorting, Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells HUVEC EV-harvesting Medium EV-depleted serum Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type SW 32 Ti Pelleting: speed (g) 110000 Pelleting: adjusted k-factor 232.7 Wash: time (min) 120 Wash: Rotor Type SW 32 Ti Wash: speed (g) 110000 Wash: adjusted k-factor 232.7 Characterization: Protein analysis Protein Concentration Method BCA Western Blot Lysis buffer provided? Yes Detected EV-associated proteins CD9, CD63, CD81, ANXA2 Not detected contaminants CytochromeC Characterization: Particle analysis DLS Report type Mean Reported size (nm) 110

	EV170047	1/8	Homo sapiens	Cell culture supernatant	(d)(U)C	Soekmadji C	2017	44%
Study summary Full title Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer. All authors Soekmadji C, Riches JD, Russell PJ, Ruelcke JE, McPherson S, Wang C, Hovens CM, Corcoran NM, Hill MM, Nelson CC Journal Oncotarget Abstract Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by (show more...)Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by steroid hormones, particularly androgens, and the extracellular environment. Herein, we identify the secretion of CD9 positive extracellular vesicles (EV) by LNCaP and DUCaP PCa cells in response to dihydrotestosterone (DHT) and use nano-LC-MS/MS to identify the proteins present in these EV. Subsequent bioinformatic and pathway analyses of the mass spectrometry data identified pathologically relevant pathways that may be altered by EV contents. Western blot and CD9 EV TR-FIA assay confirmed a specific increase in the amount of CD9 positive EV in DHT-treated LNCaP and DUCaP cells and treatment of cells with EV enriched with CD9 after DHT exposure can induce proliferation in androgen-deprived conditions. siRNA knockdown of endogenous CD9 in LNCaPs reduced cellular proliferation and expression of AR and prostate specific antigen (PSA) however knockdown of AR did not alter CD9 expression, also implicating CD9 as an upstream regulator of AR. Moreover CD9 positive EV were also found to be significantly higher in plasma from prostate cancer patients in comparison with benign prostatic hyperplasia patients. We conclude that CD9 positive EV are involved in mediating paracrine signalling and contributing toward prostate cancer progression. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name LNCaP Sample origin Enzalutamide Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Protein markers EV: Alix/ TSG101/ PSA/ CD9 non-EV: GAPDH Proteomics no Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Enzalutamide EV-producing cells LNCaP EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: speed (g) 100000 Wash: time (min) 90 Wash: speed (g) 100000 Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Antibody dilution provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix/ CD9/ TSG101 Not detected EV-associated proteins PSA Not detected contaminants GAPDH Characterization: Particle analysis TRPS Report type Size range/distribution,Mode Reported size (nm) 120 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170047	3/8	Homo sapiens	Cell culture supernatant	(d)(U)C	Soekmadji C	2017	44%
Study summary Full title Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer. All authors Soekmadji C, Riches JD, Russell PJ, Ruelcke JE, McPherson S, Wang C, Hovens CM, Corcoran NM, Hill MM, Nelson CC Journal Oncotarget Abstract Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by (show more...)Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by steroid hormones, particularly androgens, and the extracellular environment. Herein, we identify the secretion of CD9 positive extracellular vesicles (EV) by LNCaP and DUCaP PCa cells in response to dihydrotestosterone (DHT) and use nano-LC-MS/MS to identify the proteins present in these EV. Subsequent bioinformatic and pathway analyses of the mass spectrometry data identified pathologically relevant pathways that may be altered by EV contents. Western blot and CD9 EV TR-FIA assay confirmed a specific increase in the amount of CD9 positive EV in DHT-treated LNCaP and DUCaP cells and treatment of cells with EV enriched with CD9 after DHT exposure can induce proliferation in androgen-deprived conditions. siRNA knockdown of endogenous CD9 in LNCaPs reduced cellular proliferation and expression of AR and prostate specific antigen (PSA) however knockdown of AR did not alter CD9 expression, also implicating CD9 as an upstream regulator of AR. Moreover CD9 positive EV were also found to be significantly higher in plasma from prostate cancer patients in comparison with benign prostatic hyperplasia patients. We conclude that CD9 positive EV are involved in mediating paracrine signalling and contributing toward prostate cancer progression. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name LNCaP Sample origin DHT Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Protein markers EV: Alix/ TSG101/ PSA/ CD9 non-EV: GAPDH Proteomics yes Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition DHT EV-producing cells LNCaP EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: speed (g) 100000 Wash: time (min) 90 Wash: speed (g) 100000 Characterization: Protein analysis Protein Concentration Method BCA Protein Concentration 0.017 Western Blot Antibody dilution provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix/ CD9/ TSG101 Not detected EV-associated proteins PSA Not detected contaminants GAPDH Proteomics Proteomics database No Characterization: Particle analysis TRPS Report type Size range/distribution,Mode Reported size (nm) 150 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170047	4/8	Homo sapiens	Cell culture supernatant	(d)(U)C	Soekmadji C	2017	44%
Study summary Full title Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer. All authors Soekmadji C, Riches JD, Russell PJ, Ruelcke JE, McPherson S, Wang C, Hovens CM, Corcoran NM, Hill MM, Nelson CC Journal Oncotarget Abstract Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by (show more...)Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by steroid hormones, particularly androgens, and the extracellular environment. Herein, we identify the secretion of CD9 positive extracellular vesicles (EV) by LNCaP and DUCaP PCa cells in response to dihydrotestosterone (DHT) and use nano-LC-MS/MS to identify the proteins present in these EV. Subsequent bioinformatic and pathway analyses of the mass spectrometry data identified pathologically relevant pathways that may be altered by EV contents. Western blot and CD9 EV TR-FIA assay confirmed a specific increase in the amount of CD9 positive EV in DHT-treated LNCaP and DUCaP cells and treatment of cells with EV enriched with CD9 after DHT exposure can induce proliferation in androgen-deprived conditions. siRNA knockdown of endogenous CD9 in LNCaPs reduced cellular proliferation and expression of AR and prostate specific antigen (PSA) however knockdown of AR did not alter CD9 expression, also implicating CD9 as an upstream regulator of AR. Moreover CD9 positive EV were also found to be significantly higher in plasma from prostate cancer patients in comparison with benign prostatic hyperplasia patients. We conclude that CD9 positive EV are involved in mediating paracrine signalling and contributing toward prostate cancer progression. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name LNCaP Sample origin Charcoal stripped serum Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Protein markers EV: Alix/ TSG101/ PSA/ CD9 non-EV: GAPDH Proteomics yes Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Charcoal stripped serum EV-producing cells LNCaP EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: speed (g) 100000 Wash: time (min) 90 Wash: speed (g) 100000 Characterization: Protein analysis Protein Concentration Method BCA Protein Concentration 0.012 Western Blot Antibody dilution provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix/ CD9/ TSG101 Not detected EV-associated proteins PSA Not detected contaminants GAPDH Proteomics Proteomics database No Characterization: Particle analysis TRPS Report type Size range/distribution,Mode Reported size (nm) 120 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170047	5/8	Homo sapiens	Cell culture supernatant	(d)(U)C	Soekmadji C	2017	44%
Study summary Full title Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer. All authors Soekmadji C, Riches JD, Russell PJ, Ruelcke JE, McPherson S, Wang C, Hovens CM, Corcoran NM, Hill MM, Nelson CC Journal Oncotarget Abstract Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by (show more...)Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by steroid hormones, particularly androgens, and the extracellular environment. Herein, we identify the secretion of CD9 positive extracellular vesicles (EV) by LNCaP and DUCaP PCa cells in response to dihydrotestosterone (DHT) and use nano-LC-MS/MS to identify the proteins present in these EV. Subsequent bioinformatic and pathway analyses of the mass spectrometry data identified pathologically relevant pathways that may be altered by EV contents. Western blot and CD9 EV TR-FIA assay confirmed a specific increase in the amount of CD9 positive EV in DHT-treated LNCaP and DUCaP cells and treatment of cells with EV enriched with CD9 after DHT exposure can induce proliferation in androgen-deprived conditions. siRNA knockdown of endogenous CD9 in LNCaPs reduced cellular proliferation and expression of AR and prostate specific antigen (PSA) however knockdown of AR did not alter CD9 expression, also implicating CD9 as an upstream regulator of AR. Moreover CD9 positive EV were also found to be significantly higher in plasma from prostate cancer patients in comparison with benign prostatic hyperplasia patients. We conclude that CD9 positive EV are involved in mediating paracrine signalling and contributing toward prostate cancer progression. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name LNCaP Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Protein markers EV: Alix/ TSG101/ PSA/ CD9 non-EV: GAPDH Proteomics no Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells LNCaP EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: speed (g) 100000 Wash: time (min) 90 Wash: speed (g) 100000 Characterization: Protein analysis Protein Concentration Method BCA Protein Concentration 0.005 Western Blot Antibody dilution provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix/ CD9/ TSG101 Not detected EV-associated proteins PSA Not detected contaminants GAPDH Characterization: Particle analysis TRPS Report type Size range/distribution,Mode Reported size (nm) 150 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170026	1/1	Mus musculus	Cell culture supernatant	DC (d)(U)C Filtration	Prakash Gangadaran	2017	44%
Study summary Full title Extracellular vesicles from mesenchymal stem cells activates VEGF receptors and accelerates recovery of hindlimb ischemia. All authors Gangadaran P, Rajendran RL, Lee HW, Kalimuthu S, Hong CM, Jeong SY, Lee SW, Lee J, Ahn BC Journal J Control Release Abstract Extracellular vesicles (EVs) derived from mesenchymal stem cells (MSCs) are potential therapies for (show more...)Extracellular vesicles (EVs) derived from mesenchymal stem cells (MSCs) are potential therapies for various diseases, but their angiogenic mechanisms of therapeutic efficacy remain unclear. Here, we describe how MSC-EVs, activates VEGF receptors and downstream angiogenesis pathways. Mouse MSC-EVs were isolated from cell culture medium and characterized using transmission electron microscopy, nanoparticle analysis, and western blotting. In vitro migration, proliferation, and tube formation assays using endothelial cells were used to assess the angiogenic potential of MSC-EVs, and revealed higher levels of cellular migration, proliferation, and tube formation after treatment. qRT-PCR and western blotting (WB) revealed higher protein and mRNA expression of the angiogenic genes VEGFR1 and VEGFR2 in mouse SVEC-4 endothelial cells after MSC-EVs treatment. Additionally, other vital pro-angiogenic pathways (SRC, AKT, and ERK) were activated by in vitro MSC-EV treatment. WB and qRT-PCR revealed enriched presence of VEGF protein and miR-210-3p in MSC-EV. The hindlimb ischemia mouse model was established and MSC-EVs with or without Matrigel (EV-MSC+Gel) were injected into the ischemic area and blood reperfusion was monitored using molecular imaging techniques. The in vivo administration of MSC-EVs increased both blood reperfusion and the formation of new blood vessels in the ischemic limb, with the addition of matrigel enhancing this effect further by releasing EVs slowly. MSC-EVs enhance angiogenesis in ischemic limbs, most likely via the overexpression of VEGFR1 and VEGFR2 in endothelial cells. These findings reveal a novel mechanism of activating receptors by MSC-EVs influence the angiogenesis. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name bone marrow-derived mesenchymal stem cells Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography DC (d)(U)C Filtration Adj. k-factor 253.9 (pelleting) / 253.9 (washing) Protein markers EV: Alix/ CD63 non-EV: calnexin/ cytochrome c/ GM130/ cytochromec Proteomics no Show all info Study aim Function Sample Species Mus musculus Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells bone marrow-derived mesenchymal stem cells EV-harvesting Medium EV-depleted serum Preparation of EDS >=18h at >= 100,000g Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type SW 28 Pelleting: speed (g) 100000 Pelleting: adjusted k-factor 253.9 Wash: time (min) 60 Wash: Rotor Type SW 28 Wash: speed (g) 100000 Wash: adjusted k-factor 253.9 Density cushion Density medium Iodixanol Characterization: Protein analysis Protein Concentration Method BCA Western Blot Detected EV-associated proteins Alix, CD63 Not detected contaminants GM130, calnexin, cytochrome c Characterization: Particle analysis NTA Report type Mean Reported size (nm) 135 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170021	1/2	Homo sapiens	Cell culture supernatant	(d)(U)C	Liem, Michael	2017	44%
Study summary Full title Insulin mediated activation of PI3K/Akt signalling pathway modifies the proteomic cargo of extracellular vesicles. All authors Liem M, Ang CS, Mathivanan S Journal Proteomics Abstract Epidemiological studies suggest that diabetes and obesity increases the risk of colorectal cancer (C (show more...)Epidemiological studies suggest that diabetes and obesity increases the risk of colorectal cancer (CRC) and lowers the patient survival rate. An important attribute in diabetes and obesity is the presence of high levels of growth factors including insulin in blood which can activate the PI3K/Akt signalling pathway. Dysregulation of PI3K/Akt signalling pathway leads to sustained proliferative signals thereby allowing the cells susceptible to cancer. Extracellular vesicles (EVs), secreted nanovesicles of endocytic origin, are implicated in mediating the transfer of oncogenic cargo in the tumour microenvironment. In this study, CRC cells were treated with insulin to activate PI3K/Akt signaling pathway. Insulin treatment significantly increased the number of EVs secreted by CRC cells. Furthermore, pAkt was exclusively packaged in EVs secreted by PI3K/Akt activated cells. Quantitative proteomics analysis confirmed that the protein cargo of EVs are modified upon activation of PI3K/Akt signaling pathway. Bioinformatics analysis highlighted the enrichment of proteins implicated in cell proliferation in EVs secreted by PI3K/Akt activated cells. Furthermore, incubation of EVs secreted by PI3K/Akt activated cells induced proliferation in recipient CRC cells. These findings suggest that EVs can amplify the signal provided by the growth factors in the tumor microenvironment and hence aid in cancer progression. This article is protected by copyright. All rights reserved. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name LIM1215 Sample origin Insulin induced Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 253.9 (pelleting) / 89.2 (washing) Protein markers EV: TSG101/ TSG101,AKT,pAKT,beta-actin,FAT1,p-cadherin/ AKT/ Alix/ FAT1/ pAKT/ beta-actin/ p-cadherin non-EV: None Proteomics no Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Insulin induced EV-producing cells LIM1215 EV-harvesting Medium Serum free medium Cell viability 98 Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type SW 28 Pelleting: speed (g) 100000 Pelleting: adjusted k-factor 253.9 Wash: time (min) 60 Wash: Rotor Type TLA-55 Wash: speed (g) 100000 Wash: adjusted k-factor 89.20 Characterization: Protein analysis Protein Concentration Method Densitometry (SYPRO Ruby) Western Blot Antibody details provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix, TSG101,AKT,pAKT,beta-actin,FAT1,p-cadherin Proteomics Proteomics database Yes Characterization: Particle analysis NTA Report type Size range/distribution Reported size (nm) 50-150 EV concentration Yes Particle yield 3.08E+07 particles/million cells

	EV170021	2/2	Homo sapiens	Cell culture supernatant	(d)(U)C	Liem, Michael	2017	44%
Study summary Full title Insulin mediated activation of PI3K/Akt signalling pathway modifies the proteomic cargo of extracellular vesicles. All authors Liem M, Ang CS, Mathivanan S Journal Proteomics Abstract Epidemiological studies suggest that diabetes and obesity increases the risk of colorectal cancer (C (show more...)Epidemiological studies suggest that diabetes and obesity increases the risk of colorectal cancer (CRC) and lowers the patient survival rate. An important attribute in diabetes and obesity is the presence of high levels of growth factors including insulin in blood which can activate the PI3K/Akt signalling pathway. Dysregulation of PI3K/Akt signalling pathway leads to sustained proliferative signals thereby allowing the cells susceptible to cancer. Extracellular vesicles (EVs), secreted nanovesicles of endocytic origin, are implicated in mediating the transfer of oncogenic cargo in the tumour microenvironment. In this study, CRC cells were treated with insulin to activate PI3K/Akt signaling pathway. Insulin treatment significantly increased the number of EVs secreted by CRC cells. Furthermore, pAkt was exclusively packaged in EVs secreted by PI3K/Akt activated cells. Quantitative proteomics analysis confirmed that the protein cargo of EVs are modified upon activation of PI3K/Akt signaling pathway. Bioinformatics analysis highlighted the enrichment of proteins implicated in cell proliferation in EVs secreted by PI3K/Akt activated cells. Furthermore, incubation of EVs secreted by PI3K/Akt activated cells induced proliferation in recipient CRC cells. These findings suggest that EVs can amplify the signal provided by the growth factors in the tumor microenvironment and hence aid in cancer progression. This article is protected by copyright. All rights reserved. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name LIM1215 Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 253.9 (pelleting) / 89.2 (washing) Protein markers EV: TSG101/ AKT/ Alix/ FAT1/ beta-actin/ p-cadherin/ TSG101,AKT,beta-actin,FAT1,p-cadherin non-EV: None Proteomics yes Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells LIM1215 EV-harvesting Medium Serum free medium Cell viability 98 Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type SW 28 Pelleting: speed (g) 100000 Pelleting: adjusted k-factor 253.9 Wash: time (min) 60 Wash: Rotor Type TLA-55 Wash: speed (g) 100000 Wash: adjusted k-factor 89.20 Characterization: Protein analysis Protein Concentration Method Densitometry (SYPRO Ruby) Western Blot Antibody details provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix, TSG101,AKT,beta-actin,FAT1,p-cadherin Proteomics Proteomics database Yes Characterization: Particle analysis NTA Report type Size range/distribution Reported size (nm) 50-150 EV concentration Yes Particle yield 1.85E+07 particles/million cells

	EV170003	1/1	Mus musculus	Cell culture supernatant	(d)(U)C	Nager AR	2017	44%
Study summary Full title An Actin Network Dispatches Ciliary GPCRs into Extracellular Vesicles to Modulate Signaling. All authors Nager AR, Goldstein JS, Herranz-Pérez V, Portran D, Ye F, Garcia-Verdugo JM, Nachury MV Journal Cell Abstract Signaling receptors dynamically exit cilia upon activation of signaling pathways such as Hedgehog. H (show more...)Signaling receptors dynamically exit cilia upon activation of signaling pathways such as Hedgehog. Here, we find that when activated G protein-coupled receptors (GPCRs) fail to undergo BBSome-mediated retrieval from cilia back into the cell, these GPCRs concentrate into membranous buds at the tips of cilia before release into extracellular vesicles named ectosomes. Unexpectedly, actin and the actin regulators drebrin and myosin 6 mediate ectosome release from the tip of cilia. Mirroring signal-dependent retrieval, signal-dependent ectocytosis is a selective and effective process that removes activated signaling molecules from cilia. Congruently, ectocytosis compensates for BBSome defects as ectocytic removal of GPR161, a negative regulator of Hedgehog signaling, permits the appropriate transduction of Hedgehog signals in Bbs mutants. Finally, ciliary receptors that lack retrieval determinants such as the anorexigenic GPCR NPY2R undergo signal-dependent ectocytosis in wild-type cells. Our data show that signal-dependent ectocytosis regulates ciliary signaling in physiological and pathological contexts. (hide) EV-METRIC 44% (75th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name mIMCD3 Sample origin GPCR signaling in BBS mutant Focus vesicles Ciliary Ectosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 253.9 (pelleting) / 99.86 (washing) Protein markers EV: CD81/ Arl13B/ BiotinylatedGPCRs non-EV: None Proteomics no Show all info Study aim Biogenesis/cargo sorting Sample Species Mus musculus Sample Type Cell culture supernatant Sample Condition GPCR signaling in BBS mutant EV-producing cells mIMCD3 EV-harvesting Medium Serum-containing medium Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 90 Pelleting: rotor type SW 28 Pelleting: speed (g) 100000 Pelleting: adjusted k-factor 253.9 Wash: time (min) 90 Wash: Rotor Type TLS-55 Wash: speed (g) 100000 Wash: adjusted k-factor 99.86 Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Antibody details provided? Yes Detected EV-associated proteins CD81, Arl13B Characterization: Particle analysis EM EM-type Transmission-EM/ Immune-EM Proteïns Biotinylated GPCRs Image type Close-up, Wide-field Report size (nm) 70-120

	EV170067	4/6	Homo sapiens	Cell culture supernatant	DG (d)(U)C Filtration	Lässer C	2017	43%
Study summary Full title Two distinct extracellular RNA signatures released by a single cell type identified by microarray and next-generation sequencing. All authors Lässer C, Shelke GV, Yeri A, Kim DK, Crescitelli R, Raimondo S, Sjöstrand M, Gho YS, Van Keuren Jensen K, Lötvall J. Journal RNA Biol Abstract Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in (show more...)Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in many body fluids such as blood, breast milk and cerebrospinal fluid. However, there are conflicting results regarding the nature of exRNA. Here, we have separated 2 distinct exRNA profiles released by mast cells, here termed high-density (HD) and low-density (LD) exRNA. The exRNA in both fractions was characterized by microarray and next-generation sequencing. Both exRNA fractions contained mRNA and miRNA, and the mRNAs in the LD exRNA correlated closely with the cellular mRNA, whereas the HD mRNA did not. Furthermore, the HD exRNA was enriched in lincRNA, antisense RNA, vault RNA, snoRNA, and snRNA with little or no evidence of full-length 18S and 28S rRNA. The LD exRNA was enriched in mitochondrial rRNA, mitochondrial tRNA, tRNA, piRNA, Y RNA, and full-length 18S and 28S rRNA. The proteomes of the HD and LD exRNA-containing fractions were determined with LC-MS/MS and analyzed with Gene Ontology term finder, which showed that both proteomes were associated with the term extracellular vesicles and electron microscopy suggests that at least a part of the exRNA is associated with exosome-like extracellular vesicles. Additionally, the proteins in the HD fractions tended to be associated with the nucleus and ribosomes, whereas the LD fraction proteome tended to be associated with the mitochondrion. We show that the 2 exRNA signatures released by a single cell type can be separated by floatation on a density gradient. These results show that cells can release multiple types of exRNA with substantial differences in RNA species content. This is important for any future studies determining the nature and function of exRNA released from different cells under different conditions. (hide) EV-METRIC 43% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name HMC-1 Sample origin Control condition Focus vesicles Extracellular vesicle-like structures Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography DG (d)(U)C Filtration Protein markers EV: non-EV: Proteomics no EV density (g/ml) 1.09 - 1.31 Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells HMC-1 EV-harvesting Medium EV-depleted medium Preparation of EDS >=18h at >= 100,000g Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 45 Ti Pelleting: speed (g) 120000 Density gradient Density medium Sucrose Type Discontinuous Number of initial discontinuous layers 16 Lowest density fraction 0.4M Highest density fraction 2.5M Total gradient volume, incl. sample (mL) 35 Sample volume (mL) 2 Orientation Top-down Rotor type SW 32 Ti Speed (g) 175000 Duration (min) 960 Fraction volume (mL) 3.9 Fraction processing Centrifugation Pelleting: duration (min) 70 Pelleting: rotor type Type 70 Ti Pelleting: speed (g) 120000 Filtration steps 0.22µm or 0.2µm EV-subtype Distinction between multiple subtypes Density Used subtypes 1.24 - 1.31 g/mL Protein Concentration Method Not determined EM EM-type Immuno-EM Proteïns CD63 Image type Wide-field Report size (nm) 51

	EV170067	5/6	Homo sapiens	Cell culture supernatant	DG (d)(U)C Filtration	Lässer C	2017	43%
Study summary Full title Two distinct extracellular RNA signatures released by a single cell type identified by microarray and next-generation sequencing. All authors Lässer C, Shelke GV, Yeri A, Kim DK, Crescitelli R, Raimondo S, Sjöstrand M, Gho YS, Van Keuren Jensen K, Lötvall J. Journal RNA Biol Abstract Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in (show more...)Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in many body fluids such as blood, breast milk and cerebrospinal fluid. However, there are conflicting results regarding the nature of exRNA. Here, we have separated 2 distinct exRNA profiles released by mast cells, here termed high-density (HD) and low-density (LD) exRNA. The exRNA in both fractions was characterized by microarray and next-generation sequencing. Both exRNA fractions contained mRNA and miRNA, and the mRNAs in the LD exRNA correlated closely with the cellular mRNA, whereas the HD mRNA did not. Furthermore, the HD exRNA was enriched in lincRNA, antisense RNA, vault RNA, snoRNA, and snRNA with little or no evidence of full-length 18S and 28S rRNA. The LD exRNA was enriched in mitochondrial rRNA, mitochondrial tRNA, tRNA, piRNA, Y RNA, and full-length 18S and 28S rRNA. The proteomes of the HD and LD exRNA-containing fractions were determined with LC-MS/MS and analyzed with Gene Ontology term finder, which showed that both proteomes were associated with the term extracellular vesicles and electron microscopy suggests that at least a part of the exRNA is associated with exosome-like extracellular vesicles. Additionally, the proteins in the HD fractions tended to be associated with the nucleus and ribosomes, whereas the LD fraction proteome tended to be associated with the mitochondrion. We show that the 2 exRNA signatures released by a single cell type can be separated by floatation on a density gradient. These results show that cells can release multiple types of exRNA with substantial differences in RNA species content. This is important for any future studies determining the nature and function of exRNA released from different cells under different conditions. (hide) EV-METRIC 43% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name TF-1 Sample origin Control condition Focus vesicles Extracellular vesicle-like structures Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography DG (d)(U)C Filtration Protein markers EV: non-EV: Proteomics no EV density (g/ml) 1.09 - 1.31 Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells TF-1 EV-harvesting Medium EV-depleted medium Preparation of EDS >=18h at >= 100,000g Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 45 Ti Pelleting: speed (g) 120000 Density gradient Density medium Sucrose Type Discontinuous Number of initial discontinuous layers 16 Lowest density fraction 0.4M Highest density fraction 2.5M Total gradient volume, incl. sample (mL) 35 Sample volume (mL) 2 Orientation Bottom-up Rotor type SW 32 Ti Speed (g) 175000 Duration (min) 960 Fraction volume (mL) 3.9 Fraction processing Centrifugation Pelleting: duration (min) 70 Pelleting: rotor type Type 70 Ti Pelleting: speed (g) 120000 Filtration steps 0.22µm or 0.2µm Protein Concentration Method Not determined

	EV170067	6/6	Homo sapiens	Cell culture supernatant	DG (d)(U)C Filtration	Lässer C	2017	43%
Study summary Full title Two distinct extracellular RNA signatures released by a single cell type identified by microarray and next-generation sequencing. All authors Lässer C, Shelke GV, Yeri A, Kim DK, Crescitelli R, Raimondo S, Sjöstrand M, Gho YS, Van Keuren Jensen K, Lötvall J. Journal RNA Biol Abstract Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in (show more...)Cells secrete extracellular RNA (exRNA) to their surrounding environment and exRNA has been found in many body fluids such as blood, breast milk and cerebrospinal fluid. However, there are conflicting results regarding the nature of exRNA. Here, we have separated 2 distinct exRNA profiles released by mast cells, here termed high-density (HD) and low-density (LD) exRNA. The exRNA in both fractions was characterized by microarray and next-generation sequencing. Both exRNA fractions contained mRNA and miRNA, and the mRNAs in the LD exRNA correlated closely with the cellular mRNA, whereas the HD mRNA did not. Furthermore, the HD exRNA was enriched in lincRNA, antisense RNA, vault RNA, snoRNA, and snRNA with little or no evidence of full-length 18S and 28S rRNA. The LD exRNA was enriched in mitochondrial rRNA, mitochondrial tRNA, tRNA, piRNA, Y RNA, and full-length 18S and 28S rRNA. The proteomes of the HD and LD exRNA-containing fractions were determined with LC-MS/MS and analyzed with Gene Ontology term finder, which showed that both proteomes were associated with the term extracellular vesicles and electron microscopy suggests that at least a part of the exRNA is associated with exosome-like extracellular vesicles. Additionally, the proteins in the HD fractions tended to be associated with the nucleus and ribosomes, whereas the LD fraction proteome tended to be associated with the mitochondrion. We show that the 2 exRNA signatures released by a single cell type can be separated by floatation on a density gradient. These results show that cells can release multiple types of exRNA with substantial differences in RNA species content. This is important for any future studies determining the nature and function of exRNA released from different cells under different conditions. (hide) EV-METRIC 43% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name TF-1 Sample origin Control condition Focus vesicles Extracellular vesicle-like structures Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography DG (d)(U)C Filtration Protein markers EV: non-EV: Proteomics no EV density (g/ml) 1.09 - 1.31 Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Control condition EV-producing cells TF-1 EV-harvesting Medium EV-depleted medium Preparation of EDS >=18h at >= 100,000g Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 45 Ti Pelleting: speed (g) 120000 Density gradient Density medium Sucrose Type Discontinuous Number of initial discontinuous layers 16 Lowest density fraction 0.4M Highest density fraction 2.5M Total gradient volume, incl. sample (mL) 35 Sample volume (mL) 2 Orientation Bottom-up Rotor type SW 32 Ti Speed (g) 175000 Duration (min) 960 Fraction volume (mL) 3.9 Fraction processing Centrifugation Pelleting: duration (min) 70 Pelleting: rotor type Type 70 Ti Pelleting: speed (g) 120000 Protein Concentration Method Not determined

	EV170054	1/5	Homo sapiens	Urine	(d)(U)C	Gheinani AH	2017	42%
Study summary Full title Improved isolation strategies to increase the yield and purity of human urinary exosomes for biomarker discovery. All authors Gheinani AH, Vögeli M, Baumgartner U, Vassella E, Draeger A, Burkhard FC, Monastyrskaya K Journal Sci Rep Abstract Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RN (show more...)Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RNAs can be packaged in secreted urinary extracellular vesicles (uEVs) and thus protected from degradation. Urinary exosome preparations might contain specific miRNAs, relevant as biomarkers in renal and bladder diseases. Major difficulties in application of uEVs into the clinical environment are the high variability and low reproducibility of uEV isolation methods. Here we used five different methods to isolate uEVs and compared the size distribution, morphology, yield, presence of exosomal protein markers and RNA content of uEVs. We present an optimized ultracentrifugation and size exclusion chromatography approach for highly reproducible isolation for 50-150 nm uEVs, corresponding to the exosomes, from 50 ml urine. We profiled the miRNA content of uEVs and total urine from the same samples with the NanoString platform and validated the data using qPCR. Our results indicate that 18 miRNAs, robustly detected in uEVs were always present in the total urine. However, 15 miRNAs could be detected only in the total urine preparations and might represent naked circulating miRNA species. This is a novel unbiased and reproducible strategy for uEVs isolation, content normalization and miRNA cargo analysis, suitable for biomarker discovery studies. (hide) EV-METRIC 42% (76th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Urine Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 174.8 (pelleting) / 174.8 (washing) Protein markers EV: None non-EV: None Proteomics no Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Urine Sample Condition Control condition Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 45 Ti Pelleting: speed (g) 120000 Pelleting: adjusted k-factor 174.8 Wash: time (min) 70 Wash: Rotor Type Type 45 Ti Wash: speed (g) 120000 Wash: adjusted k-factor 174.8 Protein Concentration Method Fluorometric assay (e.g. Qubit, NanoOrange,...) Protein Concentration 15.9 Characterization: Particle analysis NTA Report type Mode;mean;size range/distribution;D10;D50;D90 Reported size (nm) 174 EV concentration Yes Particle yield see Fig1A EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV210016	1/1	Rattus norvegicus	Cell culture supernatant	(d)(U)C	Huang, He	2017	38%
Study summary Full title Bone marrow mesenchymal stem cell‑derived extracellular vesicles improve the survival of transplanted fat grafts All authors He Huang, Shaoqing Feng, Wenjie Zhang, Wei Li, Peng Xu, Xiangsheng Wang, Ai Ai Journal Mol Med Rep Abstract Autologous fat grafting is a promising surgical technique for soft tissue augmentation, reconstructi (show more...)Autologous fat grafting is a promising surgical technique for soft tissue augmentation, reconstruction and rejuvenation. However, it is limited by the low survival rate of the transplanted fat, due to the slow revascularization of such grafts. Previous studies have demonstrated that bone marrow mesenchymal stem cell‑derived extracellular vesicles (BMSC‑EVs) are proangiogenic. The present study aimed to investigate whether BMSC‑EVs could improve the survival of transplanted fat grafts. Extracellular vesicles were isolated from the supernatant of cultured rat bone marrow mesenchymal stem cells, and characterized by flow cytometry and scanning electron microscopy. Their proangiogenic potential was measured in vitro using tube formation and cell migration assays. Subsequently, human fat tissue grafts, alongside various concentrations of BMSC‑EVs, were subcutaneously injected into nude mice. A total of 12 weeks following transplantation, the mice were sacrificed and the grafts were harvested. The grafts from the experimental group had a higher survival rate and an increased number of vessels compared with grafts from the control group, as demonstrated by tissue volume, weight and histological analyses. Reverse transcription‑quantitative polymerase chain reaction analysis indicated that the expression levels of proangiogenic factors were increased in the experimental group compared with in the control group, thus suggesting that BMSC‑EVs may promote neovascularization by stimulating the secretion of proangiogenic factors. The present study is the first, to the best of our knowledge, to demonstrate that supplementation of fat grafts with BMSC‑EVs improves the long‑term retention and quality of transplanted fat. (hide) EV-METRIC 38% (68th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name Primary bone-marrow mesenchymal stem cells Sample origin Hypoxia (94% N2, 5% CO2, 1% O2) Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (Differential) (ultra)centrifugation Protein markers EV: CD81/ CD63 non-EV: None Proteomics no Show all info Study aim Function Sample Species Rattus norvegicus Sample Type Cell culture supernatant Sample Condition Hypoxia (94% N2, 5% CO2, 1% O2) EV-producing cells Primary bone-marrow mesenchymal stem cells EV-harvesting Medium Serum free medium Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Characterization: Protein analysis Protein Concentration Method Bradford Flow cytometry aspecific beads Detected EV-associated proteins CD63/ CD81/ CD29/ CD90/ CD31 Not detected EV-associated proteins 1 Flow cytometry Hardware adjustments Characterization: Particle analysis DLS Report type Mean Reported size (nm) 228.4 EM EM-type Scanning EM Image type Wide-field

	EV210015	1/2	Homo sapiens	Effusion	ExoQuick Filtration dUC	Broner, Esther Channah	2017	38%
Study summary Full title TSAP6 is a novel candidate marker of poor survival in metastatic high-grade serous carcinoma All authors Esther Channah Broner, Claes G Tropé, Reuven Reich, Ben Davidson Journal Hum Pathol Abstract The objective of this study was to analyze the expression and clinical role of molecules involved in (show more...)The objective of this study was to analyze the expression and clinical role of molecules involved in exosome synthesis and secretion in high-grade serous carcinoma, with focus on malignant effusions. The mRNA expression levels of ARF6, nSMase2, TSAP6, Rab27a and Rab27b by quantitative real-time reverse-transcription polymerase chain reaction were analyzed in 103 HGSC effusions and 65 solid specimens (35 ovarian, 30 abdominal metastases). Protein expression of ARF6, nSMase2, TSAP6 and Rab27a by Western blotting was analyzed in 150 specimens (94 effusions, 29 ovarian carcinomas, 27 solid metastases). Secreted ARF6, nSMase2 and Rab27a protein levels in exosomes were analyzed in supernatants from 75 effusions. Expression levels were analyzed for association with anatomic site and clinical parameters, including survival. nSMase2 and TSAP6 mRNA was overexpressed in effusions compared to solid lesions (P<.001 and P=.003, respectively), whereas ARF6, nSMase2, TSAP6 and Rab27a protein was overexpressed in solid specimens (ovarian and peritoneal) compared to effusions (P<.001 for all). Secreted ARF6, nSMase2 and Rab27a levels were found in all effusion supernatants. In univariate survival analysis, higher TSAP6 protein levels in effusions were associated with shorter overall survival (P=.01), a finding which was reproduced in analysis of specimens from patients with pre-chemotherapy effusions tapped at diagnosis (P=.026). Higher levels of exosomal Rab27a protein were significantly related to longer overall survival (P=.025). Molecules which are part of the exosome secretion machinery are differentially expressed in HGSC effusions and solid lesions and are present in effusion supernatant-derived exosomes. TSAP6 and Rab27a may be novel prognostic markers in metastatic HGSC. (hide) EV-METRIC 38% (50th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Effusion Sample origin Pleural effusion Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography ExoQuick Filtration dUC Protein markers EV: TSAP6/ Rab27a/ nSMase2 non-EV: None Proteomics no Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Effusion Sample Condition Pleural effusion Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Filtration steps 0.2µm > x > 0.1µm Commercial kit ExoQuick Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins TSAP6/ Rab27a/ nSMase2 Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Not Reported

	EV210015	2/2	Homo sapiens	Effusion	ExoQuick Filtration dUC	Broner, Esther Channah	2017	38%
Study summary Full title TSAP6 is a novel candidate marker of poor survival in metastatic high-grade serous carcinoma All authors Esther Channah Broner, Claes G Tropé, Reuven Reich, Ben Davidson Journal Hum Pathol Abstract The objective of this study was to analyze the expression and clinical role of molecules involved in (show more...)The objective of this study was to analyze the expression and clinical role of molecules involved in exosome synthesis and secretion in high-grade serous carcinoma, with focus on malignant effusions. The mRNA expression levels of ARF6, nSMase2, TSAP6, Rab27a and Rab27b by quantitative real-time reverse-transcription polymerase chain reaction were analyzed in 103 HGSC effusions and 65 solid specimens (35 ovarian, 30 abdominal metastases). Protein expression of ARF6, nSMase2, TSAP6 and Rab27a by Western blotting was analyzed in 150 specimens (94 effusions, 29 ovarian carcinomas, 27 solid metastases). Secreted ARF6, nSMase2 and Rab27a protein levels in exosomes were analyzed in supernatants from 75 effusions. Expression levels were analyzed for association with anatomic site and clinical parameters, including survival. nSMase2 and TSAP6 mRNA was overexpressed in effusions compared to solid lesions (P<.001 and P=.003, respectively), whereas ARF6, nSMase2, TSAP6 and Rab27a protein was overexpressed in solid specimens (ovarian and peritoneal) compared to effusions (P<.001 for all). Secreted ARF6, nSMase2 and Rab27a levels were found in all effusion supernatants. In univariate survival analysis, higher TSAP6 protein levels in effusions were associated with shorter overall survival (P=.01), a finding which was reproduced in analysis of specimens from patients with pre-chemotherapy effusions tapped at diagnosis (P=.026). Higher levels of exosomal Rab27a protein were significantly related to longer overall survival (P=.025). Molecules which are part of the exosome secretion machinery are differentially expressed in HGSC effusions and solid lesions and are present in effusion supernatant-derived exosomes. TSAP6 and Rab27a may be novel prognostic markers in metastatic HGSC. (hide) EV-METRIC 38% (50th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Effusion Sample origin Peritoneal effusion Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography ExoQuick Filtration dUC Protein markers EV: TSAP6/ Rab27a/ nSMase2 non-EV: None Proteomics no Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Effusion Sample Condition Peritoneal effusion Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Filtration steps 0.2µm > x > 0.1µm Commercial kit ExoQuick Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins TSAP6/ Rab27a/ nSMase2 Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Not Reported

	EV170006	1/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Control condition Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: CD147/ EpCAM/ ASGPR1/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Control condition Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	2/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Inguinal hernia Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: CD147/ EpCAM/ ASGPR1/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Inguinal hernia Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	3/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Colon carcinoma Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: CD147/ EpCAM/ ASGPR1/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Colon carcinoma Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	4/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Hepatocellular carcinoma Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: CD147/ EpCAM/ ASGPR1/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Hepatocellular carcinoma Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	5/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Liver tumour Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: CD147/ EpCAM/ ASGPR1/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Liver tumour Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	6/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Cirrhosis Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: CD147/ EpCAM/ ASGPR1/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Cirrhosis Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	7/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Cholangiocarcinoma Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: ASGPR1/ EpCAM/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Cholangiocarcinoma Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV170006	8/8	Homo sapiens	Serum	(d)(U)C	Julich-Haertel H	2017	37%
Study summary Full title Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. All authors Julich-Haertel H, Urban SK, Krawczyk M, Willms A, Jankowski K, Patkowski W, Kruk B, Krasnodębski M, Ligocka J, Schwab R, Richardsen I, Schaaf S, Klein A, Gehlert S, Sänger H, Casper M, Banales JM, Schuppan D, Milkiewicz P, Lammert F, Krawczyk M, Lukacs-Kornek V, Kornek M Journal J Hepatol Abstract BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV (show more...)BACKGROUND AND AIMS: we previously reported that large extracellular vesicles, specifically AnnexinV+EpCAM+CD147+ tumour-associated microparticles (taMPs), facilitate the detection of colorectal carcinoma (CRC), non-small cell lung carcinoma (NSCLC) as well as pancreas carcinoma (PaCa). Here we assess the diagnostic value of taMPs for detection and monitoring of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Specifically, we aim to differentiate liver taMPs from other cancer taMPs, such as CRC and NSCLC. METHODS: fluorescence-activated cell scanning (FACS) was applied to detect various taMP populations in patients' sera that were associated with the presence of a tumour (AnnexinV+EpCAM+CD147+taMPs) or could discriminate between cirrhosis (due to HCV or HBV) and liver cancers (AnnexinV+EpCAM+ASGPR1+ taMPs). In total 172 patients with liver cancer (HCC or CCA), 54 with cirrhosis and no liver neoplasia, 202 control subjects were enrolled. RESULTS: our results indicate that AnnexinV+EpCAM+CD147+ taMPs were elevated in HCC and CCA. Furthermore, AnnexinV+EpCAM+ASGPR1+CD133+ taMPs allowed the distinction of liver malignancies (HCC or CCA) and cirrhosis from tumour-free individuals and, more importantly, from patients carrying other non-liver cancers. In addition, AnnexinV+EpCAM+ASGPR1+ taMPs were increased in liver cancer-bearing patients compared to patients with cirrhosis that lacked any detectable liver malignancy. The smallest size of successfully detected cancers were ranging between 11-15 mm. AnnexinV+EpCAM+ASGPR1+ taMPs decreased at 7 days after curative R0 tumour resection suggesting close correlations with tumour presence. ROC values, sensitivity/specificity scores and positive/negative predictive values (>78%) indicated a potent diagnostic accuracy of AnnexinV+EpCAM+ASGPR1+ taMPs. CONCLUSION: we provide strong evidence that AnnexinV+EpCAM+ASGPR1+ taMPs are a novel biomarker of HCC and CCA liquid biopsy that permit a non-invasive assessment of the presence and possibly the extent of these cancers in patients with advanced liver diseases. LAY SUMMARY: Microparticles (MPs) are small vesicles that bleb from the membrane of every cell, including cancer cells, and are released to circulate in the bloodstream. Since their surface composition is similar to the surface of their underlying parental cell, MPs from the bloodstream can be isolated and by screening their surface components, the presence of their parental cells can be identified. This way, it was possible to detect and discriminate between patients bearing liver cancer and chronic liver cirrhosis. (hide) EV-METRIC 37% (82nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin Non small cell lung carcinoma Focus vesicles microparticle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Adj. k-factor 284.4 (pelleting) Protein markers EV: ASGPR1/ EpCAM/ ANXA5/ CD133 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Sample Condition Non small cell lung carcinoma Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Obtain an EV pellet : Yes Pelleting: time(min) 60 Pelleting: rotor type FA-45-24-11 Pelleting: speed (g) 20000 Pelleting: adjusted k-factor 284.4 Characterization: Protein analysis Protein Concentration Method Not determined Flow cytometry Type of Flow cytometry MACSQuant® Analyzer 10 Calibration bead size 0.2,0.5 Extra information We characterised various tumor-associated MPs (taMPs) in serum from various cancer patients aiming for the detection of liver cancer and differentiation from healthy subjects and other non-liver cancer entities. This led to several useful antigen combinations on taMPs that must be present simultaneously on the surface of the same MP in order to be accounted. That means, we reported several MP surface antigen combinations for the detection and differentiation of liver cancer (here: HCC and CCA).

	EV200153	3/6	Homo sapiens	Cell culture supernatant	DG (d)(U)C Filtration	Grace Truong	2017	34%
Study summary Full title Oxygen tension regulates the miRNA profile and bioactivity of exosomes released from extravillous trophoblast cells - Liquid biopsies for monitoring complications of pregnancy All authors Grace Truong, Dominic Guanzon, Vyjayanthi Kinhal, Omar Elfeky, Andrew Lai, Sherri Longo, Zarin Nuzhat, Carlos Palma, Katherin Scholz-Romero, Ramkumar Menon, Ben W Mol, Gregory E Rice, Carlos Salomon Journal PLoS One Abstract Our understanding of how cells communicate has undergone a paradigm shift since the recent recogniti (show more...)Our understanding of how cells communicate has undergone a paradigm shift since the recent recognition of the role of exosomes in intercellular signaling. In this study, we investigated whether oxygen tension alters the exosome release and miRNA profile from extravillous trophoblast (EVT) cells, modifying their bioactivity on endothelial cells (EC). Furthermore, we have established the exosomal miRNA profile at early gestation in women who develop pre-eclampsia (PE) and spontaneous preterm birth (SPTB). HTR-8/SVneo cells were used as an EVT model. The effect of oxygen tension (i.e. 8% and 1% oxygen) on exosome release was quantified using nanocrystals (Qdot®) coupled to CD63 by fluorescence NTA. A real-time, live-cell imaging system (Incucyte™) was used to establish the effect of exosomes on EC. Plasma samples were obtained at early gestation (<18 weeks) and classified according to pregnancy outcomes. An Illumina TrueSeq Small RNA kit was used to construct a small RNA library from exosomal RNA obtained from EVT and plasma samples. The number of exosomes was significantly higher in EVT cultured under 1% compared to 8% oxygen. In total, 741 miRNA were identified in exosomes from EVT. Bioinformatic analysis revealed that these miRNA were associated with cell migration and cytokine production. Interestingly, exosomes isolated from EVT cultured at 8% oxygen increased EC migration, whilst exosomes cultured at 1% oxygen decreased EC migration. These changes were inversely proportional to TNF-α released from EC. Finally, we have identified a set of unique miRNAs in exosomes from EVT cultured at 1% oxygen and exosomes isolated from the circulation of mothers at early gestation, who later developed PE and SPTB. We suggest that aberrant exosomal signalling by placental cells is a common aetiological factor in pregnancy complications characterised by incomplete SpA remodeling and is therefore a clinically relevant biomarker of pregnancy complications. (hide) EV-METRIC 34% (66th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name HUVEC Sample origin HTR-8/SVneo EV treatment Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography Density gradient (Differential) (ultra)centrifugation Filtration Protein markers EV: TNF-alpha non-EV: None Proteomics no EV density (g/ml) 1.13-1.19 Show all info Study aim Function/Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition HTR-8/SVneo EV treatment EV-producing cells HUVEC EV-harvesting Medium EV-depleted medium Preparation of EDS Not specified Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type Surespin 630/36 Pelleting: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type Not specified Speed (g) 100000 Duration (min) 1080 Fraction volume (mL) Not specified Fraction processing Centrifugation Pelleting: volume per fraction Not spec Pelleting: duration (min) 120 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined ELISA Detected EV-associated proteins TNF-alpha Flow cytometry Hardware adjustments

	EV200153	4/6	Homo sapiens	Blood plasma	DG (d)(U)C Filtration	Grace Truong	2017	34%
Study summary Full title Oxygen tension regulates the miRNA profile and bioactivity of exosomes released from extravillous trophoblast cells - Liquid biopsies for monitoring complications of pregnancy All authors Grace Truong, Dominic Guanzon, Vyjayanthi Kinhal, Omar Elfeky, Andrew Lai, Sherri Longo, Zarin Nuzhat, Carlos Palma, Katherin Scholz-Romero, Ramkumar Menon, Ben W Mol, Gregory E Rice, Carlos Salomon Journal PLoS One Abstract Our understanding of how cells communicate has undergone a paradigm shift since the recent recogniti (show more...)Our understanding of how cells communicate has undergone a paradigm shift since the recent recognition of the role of exosomes in intercellular signaling. In this study, we investigated whether oxygen tension alters the exosome release and miRNA profile from extravillous trophoblast (EVT) cells, modifying their bioactivity on endothelial cells (EC). Furthermore, we have established the exosomal miRNA profile at early gestation in women who develop pre-eclampsia (PE) and spontaneous preterm birth (SPTB). HTR-8/SVneo cells were used as an EVT model. The effect of oxygen tension (i.e. 8% and 1% oxygen) on exosome release was quantified using nanocrystals (Qdot®) coupled to CD63 by fluorescence NTA. A real-time, live-cell imaging system (Incucyte™) was used to establish the effect of exosomes on EC. Plasma samples were obtained at early gestation (<18 weeks) and classified according to pregnancy outcomes. An Illumina TrueSeq Small RNA kit was used to construct a small RNA library from exosomal RNA obtained from EVT and plasma samples. The number of exosomes was significantly higher in EVT cultured under 1% compared to 8% oxygen. In total, 741 miRNA were identified in exosomes from EVT. Bioinformatic analysis revealed that these miRNA were associated with cell migration and cytokine production. Interestingly, exosomes isolated from EVT cultured at 8% oxygen increased EC migration, whilst exosomes cultured at 1% oxygen decreased EC migration. These changes were inversely proportional to TNF-α released from EC. Finally, we have identified a set of unique miRNAs in exosomes from EVT cultured at 1% oxygen and exosomes isolated from the circulation of mothers at early gestation, who later developed PE and SPTB. We suggest that aberrant exosomal signalling by placental cells is a common aetiological factor in pregnancy complications characterised by incomplete SpA remodeling and is therefore a clinically relevant biomarker of pregnancy complications. (hide) EV-METRIC 34% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Healthy pregnant Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography Density gradient (Differential) (ultra)centrifugation Filtration Protein markers EV: HLA-G non-EV: None Proteomics no EV density (g/ml) 1.13-1.19 Show all info Study aim Function/Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Blood plasma Sample Condition Healthy pregnant Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type Surespin 630/36 Pelleting: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type Not specified Speed (g) 100000 Duration (min) 1080 Fraction volume (mL) Not specified Fraction processing Centrifugation Pelleting: volume per fraction Not spec Pelleting: duration (min) 120 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins HLA-G Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Mean +/- SEM;Other Reported size (nm) 105+/-15 EV concentration Yes

	EV200153	5/6	Homo sapiens	Blood plasma	DG (d)(U)C Filtration	Grace Truong	2017	34%
Study summary Full title Oxygen tension regulates the miRNA profile and bioactivity of exosomes released from extravillous trophoblast cells - Liquid biopsies for monitoring complications of pregnancy All authors Grace Truong, Dominic Guanzon, Vyjayanthi Kinhal, Omar Elfeky, Andrew Lai, Sherri Longo, Zarin Nuzhat, Carlos Palma, Katherin Scholz-Romero, Ramkumar Menon, Ben W Mol, Gregory E Rice, Carlos Salomon Journal PLoS One Abstract Our understanding of how cells communicate has undergone a paradigm shift since the recent recogniti (show more...)Our understanding of how cells communicate has undergone a paradigm shift since the recent recognition of the role of exosomes in intercellular signaling. In this study, we investigated whether oxygen tension alters the exosome release and miRNA profile from extravillous trophoblast (EVT) cells, modifying their bioactivity on endothelial cells (EC). Furthermore, we have established the exosomal miRNA profile at early gestation in women who develop pre-eclampsia (PE) and spontaneous preterm birth (SPTB). HTR-8/SVneo cells were used as an EVT model. The effect of oxygen tension (i.e. 8% and 1% oxygen) on exosome release was quantified using nanocrystals (Qdot®) coupled to CD63 by fluorescence NTA. A real-time, live-cell imaging system (Incucyte™) was used to establish the effect of exosomes on EC. Plasma samples were obtained at early gestation (<18 weeks) and classified according to pregnancy outcomes. An Illumina TrueSeq Small RNA kit was used to construct a small RNA library from exosomal RNA obtained from EVT and plasma samples. The number of exosomes was significantly higher in EVT cultured under 1% compared to 8% oxygen. In total, 741 miRNA were identified in exosomes from EVT. Bioinformatic analysis revealed that these miRNA were associated with cell migration and cytokine production. Interestingly, exosomes isolated from EVT cultured at 8% oxygen increased EC migration, whilst exosomes cultured at 1% oxygen decreased EC migration. These changes were inversely proportional to TNF-α released from EC. Finally, we have identified a set of unique miRNAs in exosomes from EVT cultured at 1% oxygen and exosomes isolated from the circulation of mothers at early gestation, who later developed PE and SPTB. We suggest that aberrant exosomal signalling by placental cells is a common aetiological factor in pregnancy complications characterised by incomplete SpA remodeling and is therefore a clinically relevant biomarker of pregnancy complications. (hide) EV-METRIC 34% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Pregnant; Pre-eclampsia Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography Density gradient (Differential) (ultra)centrifugation Filtration Protein markers EV: HLA-G non-EV: None Proteomics no EV density (g/ml) 1.13-1.19 Show all info Study aim Function/Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Blood plasma Sample Condition Pregnant; Pre-eclampsia Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type Surespin 630/36 Pelleting: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type Not specified Speed (g) 100000 Duration (min) 1080 Fraction volume (mL) Not specified Fraction processing Centrifugation Pelleting: volume per fraction Not spec Pelleting: duration (min) 120 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins HLA-G Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Mean +/- SEM;Other Reported size (nm) 95 +/- 25 EV concentration Yes

	EV200153	6/6	Homo sapiens	Blood plasma	DG (d)(U)C Filtration	Grace Truong	2017	34%
Study summary Full title Oxygen tension regulates the miRNA profile and bioactivity of exosomes released from extravillous trophoblast cells - Liquid biopsies for monitoring complications of pregnancy All authors Grace Truong, Dominic Guanzon, Vyjayanthi Kinhal, Omar Elfeky, Andrew Lai, Sherri Longo, Zarin Nuzhat, Carlos Palma, Katherin Scholz-Romero, Ramkumar Menon, Ben W Mol, Gregory E Rice, Carlos Salomon Journal PLoS One Abstract Our understanding of how cells communicate has undergone a paradigm shift since the recent recogniti (show more...)Our understanding of how cells communicate has undergone a paradigm shift since the recent recognition of the role of exosomes in intercellular signaling. In this study, we investigated whether oxygen tension alters the exosome release and miRNA profile from extravillous trophoblast (EVT) cells, modifying their bioactivity on endothelial cells (EC). Furthermore, we have established the exosomal miRNA profile at early gestation in women who develop pre-eclampsia (PE) and spontaneous preterm birth (SPTB). HTR-8/SVneo cells were used as an EVT model. The effect of oxygen tension (i.e. 8% and 1% oxygen) on exosome release was quantified using nanocrystals (Qdot®) coupled to CD63 by fluorescence NTA. A real-time, live-cell imaging system (Incucyte™) was used to establish the effect of exosomes on EC. Plasma samples were obtained at early gestation (<18 weeks) and classified according to pregnancy outcomes. An Illumina TrueSeq Small RNA kit was used to construct a small RNA library from exosomal RNA obtained from EVT and plasma samples. The number of exosomes was significantly higher in EVT cultured under 1% compared to 8% oxygen. In total, 741 miRNA were identified in exosomes from EVT. Bioinformatic analysis revealed that these miRNA were associated with cell migration and cytokine production. Interestingly, exosomes isolated from EVT cultured at 8% oxygen increased EC migration, whilst exosomes cultured at 1% oxygen decreased EC migration. These changes were inversely proportional to TNF-α released from EC. Finally, we have identified a set of unique miRNAs in exosomes from EVT cultured at 1% oxygen and exosomes isolated from the circulation of mothers at early gestation, who later developed PE and SPTB. We suggest that aberrant exosomal signalling by placental cells is a common aetiological factor in pregnancy complications characterised by incomplete SpA remodeling and is therefore a clinically relevant biomarker of pregnancy complications. (hide) EV-METRIC 34% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Pregnant; Spontaneous pre-term birth Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography Density gradient (Differential) (ultra)centrifugation Filtration Protein markers EV: HLA-G non-EV: None Proteomics no EV density (g/ml) 1.13-1.19 Show all info Study aim Function/Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Blood plasma Sample Condition Pregnant; Spontaneous pre-term birth Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type Surespin 630/36 Pelleting: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type Not specified Speed (g) 100000 Duration (min) 1080 Fraction volume (mL) Not specified Fraction processing Centrifugation Pelleting: volume per fraction Not spec Pelleting: duration (min) 120 Pelleting: rotor type Not specified Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins HLA-G Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Mean +/- SEM;Other Reported size (nm) 102 +/- 22 EV concentration Yes

	EV200146	2/2	Homo sapiens	Blood plasma	"DG (d)(U)C Filtration"	Salomon, Carlos	2017	34%
Study summary Full title Placental Exosomes as Early Biomarker of Preeclampsia: Potential Role of Exosomal MicroRNAs Across Gestation All authors Carlos Salomon, Dominic Guanzon, Katherin Scholz-Romero, Sherri Longo, Paula Correa, Sebastian E Illanes, Gregory E Rice Journal J Clin Endocrinol Metab Abstract Context: There is a need to develop strategies for early prediction of patients who will develop pre (show more...)Context: There is a need to develop strategies for early prediction of patients who will develop preeclampsia (PE) to establish preventive strategies to reduce the prevalence and severity of the disease and their associated complications. Objective: The objective of this study was to investigate whether exosomes and their microRNA cargo present in maternal circulation can be used as early biomarker for PE. Design, setting, patients, and interventions: A retrospective stratified study design was used to quantify total exosomes and placenta-derived exosomes present in maternal plasma of normal (n = 32 per time point) and PE (n = 15 per time point) pregnancies. Exosomes present in maternal circulation were determined by nanoparticle tracking analysis. An Illumina TruSeq® Small RNA Library Prep Kit was used to construct a small RNA library from exosomal RNA obtained from plasma samples. Results: In presymptomatic women, who subsequently developed PE, the concentration of total exosomes and placenta-derived exosomes in maternal plasma was significantly greater than those observed in controls, throughout pregnancy. The area under the receiver operating characteristic curves for total exosome and placenta-derived exosome concentrations were 0.745 ± 0.094 and 0.829 ± 0.077, respectively. In total, over 300 microRNAs were identified in exosomes across gestation, where hsa-miR-486-1-5p and hsa-miR-486-2-5p were identified as the candidate microRNAs. Conclusions: Although the role of exosomes during PE remains to be fully elucidated, we suggest that the concentration and content of exosomes may be of diagnostic utility for women at risk for developing PE. (hide) EV-METRIC 34% (71st percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Pre-eclampsia Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography "Density gradient (Differential) (ultra)centrifugation Filtration" Protein markers EV: "TSG101/ PLAP" non-EV: None Proteomics no EV density (g/ml) 1.12-1.19 Show all info Study aim "Biomarker/Identification of content (omics approaches)" Sample Species Homo sapiens Sample Type Blood plasma Sample Condition Pre-eclampsia Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: rotor type T-8100 Pelleting: speed (g) 100000 Wash: volume per pellet (ml) 10 Wash: time (min) 120 Wash: Rotor Type T-8100 Wash: speed (g) 100000 Density gradient Density medium Iodixanol Type Discontinuous Number of initial discontinuous layers 4 Lowest density fraction 5% Highest density fraction 40% Total gradient volume, incl. sample (mL) 14.5mL Sample volume (mL) 0.5mL Orientation Top-down Rotor type T-8100 Speed (g) 100000 Duration (min) 1200 Fraction volume (mL) 0.05 Fraction processing Centrifugation Pelleting: volume per fraction 0.05 Pelleting: duration (min) 120 Pelleting: rotor type T-8100 Pelleting: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins TSG101 ELISA Antibody details provided? Yes Antibody dilution provided? Yes Detected EV-associated proteins PLAP Flow cytometry Hardware adjustments Characterization: Particle analysis NTA Report type Size range/distribution Reported size (nm) 40-130nm

	EV210102	1/2	Homo sapiens	Urine	(d)(U)C Filtration	Wang, Ling	2017	33%
Study summary Full title Exosomal proteins as prostate cancer biomarkers in urine: From mass spectrometry discovery to immunoassay-based validation All authors Ling Wang, Tore Skotland, Viktor Berge, Kirsten Sandvig, Alicia Llorente Journal Eur J Pharm Sci. Abstract Exosomes have recently appeared as a novel source of non-invasive cancer biomarkers since tumor-spec (show more...)Exosomes have recently appeared as a novel source of non-invasive cancer biomarkers since tumor-specific molecules can be found in exosomes isolated from biological fluids. We have previously analyzed the proteome of urinary exosomes by mass spectrometry, and identified proteins differentially expressed in prostate cancer patients compared to healthy males. Since mass spectrometry is so far not commonly used in clinical laboratories, we have here investigated whether antibody-based methods such as Western blot or ELISA can be used to validate the use of the identified proteins as prostate cancer biomarkers. Western blot experiments designed to detect flotillin 2, TMEM256, Rab3B and LAMTOR1 showed that the level of these proteins was higher in urinary exosomes from prostate cancer patients compared to healthy males. Furthermore, a receiver operating characteristic curve of flotillin 2 in samples from 16 controls and 16 patients showed an area under the curve of 0.91, and 88% sensitivity at a threshold set to give 94% specificity. In addition, ELISA-based detection of flotillin 2 and PARK7 showed that the combination of these proteins was able to distinguish prostate cancer patients and healthy controls with 68% sensitivity and 93% specificity. Several promising biomarkers identified by mass spectrometry could not be evaluated by Western blot or ELISA due to their low exosomal amount and/or lack of good antibodies. In conclusion, our results show that several urinary exosomal proteins identified as prostate cancer biomarkers by mass spectrometry have a high diagnostic value also when analyzed by immunology-based methods, thus bringing these biomarkers closer to a potential clinical use. (hide) EV-METRIC 33% (65th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Urine Sample origin Prostate cancer Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Filtration Protein markers EV: TMEM256/ PARK7/ Flotillin1/ RAB3B/ Flotillin2/ LAMTOR1 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Urine Sample Condition Prostate cancer Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 70 Ti Pelleting: speed (g) 100000 Wash: volume per pellet (ml) Not specified Wash: time (min) 70 Wash: Rotor Type Type 70 Ti Wash: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method BCA Western Blot Detected EV-associated proteins Flotillin1/ RAB3B/ TMEM256/ LAMTOR1/ Flotillin2 ELISA Detected EV-associated proteins Flotillin2/ PARK7 Flow cytometry Hardware adjustments Characterization: Particle analysis

	EV210102	2/2	Homo sapiens	Urine	(d)(U)C Filtration	Wang, Ling	2017	33%
Study summary Full title Exosomal proteins as prostate cancer biomarkers in urine: From mass spectrometry discovery to immunoassay-based validation All authors Ling Wang, Tore Skotland, Viktor Berge, Kirsten Sandvig, Alicia Llorente Journal Eur J Pharm Sci. Abstract Exosomes have recently appeared as a novel source of non-invasive cancer biomarkers since tumor-spec (show more...)Exosomes have recently appeared as a novel source of non-invasive cancer biomarkers since tumor-specific molecules can be found in exosomes isolated from biological fluids. We have previously analyzed the proteome of urinary exosomes by mass spectrometry, and identified proteins differentially expressed in prostate cancer patients compared to healthy males. Since mass spectrometry is so far not commonly used in clinical laboratories, we have here investigated whether antibody-based methods such as Western blot or ELISA can be used to validate the use of the identified proteins as prostate cancer biomarkers. Western blot experiments designed to detect flotillin 2, TMEM256, Rab3B and LAMTOR1 showed that the level of these proteins was higher in urinary exosomes from prostate cancer patients compared to healthy males. Furthermore, a receiver operating characteristic curve of flotillin 2 in samples from 16 controls and 16 patients showed an area under the curve of 0.91, and 88% sensitivity at a threshold set to give 94% specificity. In addition, ELISA-based detection of flotillin 2 and PARK7 showed that the combination of these proteins was able to distinguish prostate cancer patients and healthy controls with 68% sensitivity and 93% specificity. Several promising biomarkers identified by mass spectrometry could not be evaluated by Western blot or ELISA due to their low exosomal amount and/or lack of good antibodies. In conclusion, our results show that several urinary exosomal proteins identified as prostate cancer biomarkers by mass spectrometry have a high diagnostic value also when analyzed by immunology-based methods, thus bringing these biomarkers closer to a potential clinical use. (hide) EV-METRIC 33% (65th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Urine Sample origin Control condition Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Filtration Protein markers EV: TMEM256/ PARK7/ Flotillin1/ RAB3B/ Flotillin2/ LAMTOR1 non-EV: None Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Urine Sample Condition Control condition Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 70 Ti Pelleting: speed (g) 100000 Wash: volume per pellet (ml) Not specified Wash: time (min) 70 Wash: Rotor Type Type 70 Ti Wash: speed (g) 100000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method BCA Western Blot Detected EV-associated proteins Flotillin1/ Flotillin2/ RAB3B/ LAMTOR1/ TMEM256 ELISA Detected EV-associated proteins Flotillin2/ PARK7 Flow cytometry Hardware adjustments Characterization: Particle analysis

	EV170070	1/1	Homo sapiens	Cell culture supernatant	(d)(U)C Filtration	Tsang EK	2017	33%
Study summary Full title Small RNA Sequencing in Cells and Exosomes Identifies eQTLs and 14q32 as a Region of Active Export. All authors Tsang EK, Abell NS, Li X, Anaya V, Karczewski KJ, Knowles DA, Sierra RG, Smith KS, Montgomery SB. Journal G3 (Bethesda) Abstract Exosomes are small extracellular vesicles that carry heterogeneous cargo, including RNA, between cel (show more...)Exosomes are small extracellular vesicles that carry heterogeneous cargo, including RNA, between cells. Increasing evidence suggests that exosomes are important mediators of intercellular communication and biomarkers of disease. Despite this, the variability of exosomal RNA between individuals has not been well quantified. To assess this variability, we sequenced the small RNA of cells and exosomes from a 17-member family. Across individuals, we show that selective export of miRNAs occurs not only at the level of specific transcripts, but that a cluster of 74 mature miRNAs on chromosome 14q32 is massively exported in exosomes while mostly absent from cells. We also observe more interindividual variability between exosomal samples than between cellular ones and identify four miRNA expression quantitative trait loci shared between cells and exosomes. Our findings indicate that genomically colocated miRNAs can be exported together and highlight the variability in exosomal miRNA levels between individuals as relevant for exosome use as diagnostics. (hide) EV-METRIC 33% (62nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name CEPH/UTAH family PEDIGREE 1463 peripheral blood B lymphocyte Sample origin Epstein-Barr virus-transformed Focus vesicles exosome Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Filtration Protein markers EV: HSP70 non-EV: Calnexin Proteomics no Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Epstein-Barr virus-transformed EV-producing cells CEPH/UTAH family PEDIGREE 1463 peripheral blood B lymphocyte EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 70 Pelleting: rotor type Type 45 Ti Pelleting: speed (g) 120000 Wash: time (min) 70 Wash: Rotor Type TLA-100.3 Wash: speed (g) 120000 Filtration steps 0.22µm or 0.2µm Characterization: Protein analysis Protein Concentration Method Not determined Western Blot Detected EV-associated proteins HSP70 Not detected contaminants Calnexin Characterization: Particle analysis NTA Report type Modus Reported size (nm) 107 EM EM-type Transmission-EM Image type Close-up Report size (nm) 100

	EV170054	2/5	Homo sapiens	Urine	(d)(U)C Filtration SEC UF	Gheinani AH	2017	33%
Study summary Full title Improved isolation strategies to increase the yield and purity of human urinary exosomes for biomarker discovery. All authors Gheinani AH, Vögeli M, Baumgartner U, Vassella E, Draeger A, Burkhard FC, Monastyrskaya K Journal Sci Rep Abstract Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RN (show more...)Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RNAs can be packaged in secreted urinary extracellular vesicles (uEVs) and thus protected from degradation. Urinary exosome preparations might contain specific miRNAs, relevant as biomarkers in renal and bladder diseases. Major difficulties in application of uEVs into the clinical environment are the high variability and low reproducibility of uEV isolation methods. Here we used five different methods to isolate uEVs and compared the size distribution, morphology, yield, presence of exosomal protein markers and RNA content of uEVs. We present an optimized ultracentrifugation and size exclusion chromatography approach for highly reproducible isolation for 50-150 nm uEVs, corresponding to the exosomes, from 50 ml urine. We profiled the miRNA content of uEVs and total urine from the same samples with the NanoString platform and validated the data using qPCR. Our results indicate that 18 miRNAs, robustly detected in uEVs were always present in the total urine. However, 15 miRNAs could be detected only in the total urine preparations and might represent naked circulating miRNA species. This is a novel unbiased and reproducible strategy for uEVs isolation, content normalization and miRNA cargo analysis, suitable for biomarker discovery studies. (hide) EV-METRIC 33% (65th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Urine Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Filtration SEC UF Protein markers EV: None non-EV: None Proteomics no Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Urine Sample Condition Control condition Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Filtration steps 0.22µm or 0.2µm Ultra filtration Cut-off size (kDa) 10 Membrane type Polyethersulfone (PES) Size-exclusion chromatography Total column volume (mL) 23 Sample volume/column (mL) 0.4 Resin type Sepharose CL-2B Protein Concentration Method Fluorometric assay (e.g. Qubit, NanoOrange,...) Protein Concentration 5.7 Characterization: Particle analysis NTA Report type Mode;mean;size range/distribution;D10;D50;D90 Reported size (nm) 113 EV concentration Yes Particle yield see Fig1A EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170054	3/5	Homo sapiens	Urine	(d)(U)C PEG precipitation	Gheinani AH	2017	33%
Study summary Full title Improved isolation strategies to increase the yield and purity of human urinary exosomes for biomarker discovery. All authors Gheinani AH, Vögeli M, Baumgartner U, Vassella E, Draeger A, Burkhard FC, Monastyrskaya K Journal Sci Rep Abstract Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RN (show more...)Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RNAs can be packaged in secreted urinary extracellular vesicles (uEVs) and thus protected from degradation. Urinary exosome preparations might contain specific miRNAs, relevant as biomarkers in renal and bladder diseases. Major difficulties in application of uEVs into the clinical environment are the high variability and low reproducibility of uEV isolation methods. Here we used five different methods to isolate uEVs and compared the size distribution, morphology, yield, presence of exosomal protein markers and RNA content of uEVs. We present an optimized ultracentrifugation and size exclusion chromatography approach for highly reproducible isolation for 50-150 nm uEVs, corresponding to the exosomes, from 50 ml urine. We profiled the miRNA content of uEVs and total urine from the same samples with the NanoString platform and validated the data using qPCR. Our results indicate that 18 miRNAs, robustly detected in uEVs were always present in the total urine. However, 15 miRNAs could be detected only in the total urine preparations and might represent naked circulating miRNA species. This is a novel unbiased and reproducible strategy for uEVs isolation, content normalization and miRNA cargo analysis, suitable for biomarker discovery studies. (hide) EV-METRIC 33% (65th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Urine Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C PEG precipitation Protein markers EV: None non-EV: None Proteomics no Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Urine Sample Condition Control condition Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Other Name other separation method PEG precipitation Protein Concentration Method Fluorometric assay (e.g. Qubit, NanoOrange,...) Protein Concentration 8.4 Characterization: Particle analysis NTA Report type Mode;mean;size range/distribution;D10;D50;D90 Reported size (nm) 138 EV concentration Yes Particle yield see Fig1A EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170054	4/5	Homo sapiens	Urine	(d)(U)C PEG precipitation SEC	Gheinani AH	2017	33%
Study summary Full title Improved isolation strategies to increase the yield and purity of human urinary exosomes for biomarker discovery. All authors Gheinani AH, Vögeli M, Baumgartner U, Vassella E, Draeger A, Burkhard FC, Monastyrskaya K Journal Sci Rep Abstract Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RN (show more...)Circulating miRNAs are detected in extracellular space and body fluids such as urine. Circulating RNAs can be packaged in secreted urinary extracellular vesicles (uEVs) and thus protected from degradation. Urinary exosome preparations might contain specific miRNAs, relevant as biomarkers in renal and bladder diseases. Major difficulties in application of uEVs into the clinical environment are the high variability and low reproducibility of uEV isolation methods. Here we used five different methods to isolate uEVs and compared the size distribution, morphology, yield, presence of exosomal protein markers and RNA content of uEVs. We present an optimized ultracentrifugation and size exclusion chromatography approach for highly reproducible isolation for 50-150 nm uEVs, corresponding to the exosomes, from 50 ml urine. We profiled the miRNA content of uEVs and total urine from the same samples with the NanoString platform and validated the data using qPCR. Our results indicate that 18 miRNAs, robustly detected in uEVs were always present in the total urine. However, 15 miRNAs could be detected only in the total urine preparations and might represent naked circulating miRNA species. This is a novel unbiased and reproducible strategy for uEVs isolation, content normalization and miRNA cargo analysis, suitable for biomarker discovery studies. (hide) EV-METRIC 33% (65th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Urine Sample origin Control condition Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C PEG precipitation SEC Protein markers EV: None non-EV: None Proteomics no Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Urine Sample Condition Control condition Separation Method Differential ultracentrifugation centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Between 10,000 g and 50,000 g Size-exclusion chromatography Total column volume (mL) 23 Sample volume/column (mL) 0.4 Resin type Sepharose CL-2B Other Name other separation method PEG precipitation Protein Concentration Method Fluorometric assay (e.g. Qubit, NanoOrange,...) Protein Concentration 2.3 Characterization: Particle analysis NTA Report type Mode;mean;size range/distribution;D10;D50;D90 Reported size (nm) 106 EV concentration Yes Particle yield see Fig1A EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV170047	6/8	Homo sapiens	Cell culture supernatant	(d)(U)C	Soekmadji C	2017	33%
Study summary Full title Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer. All authors Soekmadji C, Riches JD, Russell PJ, Ruelcke JE, McPherson S, Wang C, Hovens CM, Corcoran NM, Hill MM, Nelson CC Journal Oncotarget Abstract Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by (show more...)Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by steroid hormones, particularly androgens, and the extracellular environment. Herein, we identify the secretion of CD9 positive extracellular vesicles (EV) by LNCaP and DUCaP PCa cells in response to dihydrotestosterone (DHT) and use nano-LC-MS/MS to identify the proteins present in these EV. Subsequent bioinformatic and pathway analyses of the mass spectrometry data identified pathologically relevant pathways that may be altered by EV contents. Western blot and CD9 EV TR-FIA assay confirmed a specific increase in the amount of CD9 positive EV in DHT-treated LNCaP and DUCaP cells and treatment of cells with EV enriched with CD9 after DHT exposure can induce proliferation in androgen-deprived conditions. siRNA knockdown of endogenous CD9 in LNCaPs reduced cellular proliferation and expression of AR and prostate specific antigen (PSA) however knockdown of AR did not alter CD9 expression, also implicating CD9 as an upstream regulator of AR. Moreover CD9 positive EV were also found to be significantly higher in plasma from prostate cancer patients in comparison with benign prostatic hyperplasia patients. We conclude that CD9 positive EV are involved in mediating paracrine signalling and contributing toward prostate cancer progression. (hide) EV-METRIC 33% (62nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name DUCaP Sample origin DHT Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Protein markers EV: Alix/ TSG101/ PSA/ CD9 non-EV: Proteomics yes Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition DHT EV-producing cells DUCaP EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: speed (g) 100000 Wash: time (min) 90 Wash: speed (g) 100000 Characterization: Protein analysis Protein Concentration Method BCA Protein Concentration 1.6 Western Blot Antibody dilution provided? Yes Lysis buffer provided? Yes Detected EV-associated proteins Alix/ CD9/ TSG101 Not detected EV-associated proteins PSA Proteomics Proteomics database No Characterization: Particle analysis TRPS Report type Size range/distribution,Mode Reported size (nm) 120

	EV170047	7/8	Homo sapiens	Cell culture supernatant	(d)(U)C	Soekmadji C	2017	33%
Study summary Full title Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer. All authors Soekmadji C, Riches JD, Russell PJ, Ruelcke JE, McPherson S, Wang C, Hovens CM, Corcoran NM, Hill MM, Nelson CC Journal Oncotarget Abstract Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by (show more...)Proliferation and maintenance of both normal and prostate cancer (PCa) cells is highly regulated by steroid hormones, particularly androgens, and the extracellular environment. Herein, we identify the secretion of CD9 positive extracellular vesicles (EV) by LNCaP and DUCaP PCa cells in response to dihydrotestosterone (DHT) and use nano-LC-MS/MS to identify the proteins present in these EV. Subsequent bioinformatic and pathway analyses of the mass spectrometry data identified pathologically relevant pathways that may be altered by EV contents. Western blot and CD9 EV TR-FIA assay confirmed a specific increase in the amount of CD9 positive EV in DHT-treated LNCaP and DUCaP cells and treatment of cells with EV enriched with CD9 after DHT exposure can induce proliferation in androgen-deprived conditions. siRNA knockdown of endogenous CD9 in LNCaPs reduced cellular proliferation and expression of AR and prostate specific antigen (PSA) however knockdown of AR did not alter CD9 expression, also implicating CD9 as an upstream regulator of AR. Moreover CD9 positive EV were also found to be significantly higher in plasma from prostate cancer patients in comparison with benign prostatic hyperplasia patients. We conclude that CD9 positive EV are involved in mediating paracrine signalling and contributing toward prostate cancer progression. (hide) EV-METRIC 33% (62nd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Cell Name DUCaP Sample origin Charcoal stripped serum Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. (d)(U)C = (differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography (d)(U)C Protein markers EV: Alix/ TSG101/ PSA/ CD9 non-EV: Proteomics yes Show all info Study aim Identification of content (omics approaches) Sample Species Homo sapiens Sample Type Cell culture supernatant Sample Condition Charcoal stripped serum EV-producing cells DUCaP EV-harvesting Medium EV-depleted medium Preparation of EDS overnight (16h) at >=100,000g Separation Method Differential ultracentrifugation centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Obtain an EV pellet : Yes Pelleting: time(min) 120 Pelleting: speed (g) 100000 Wash: time (min) 90 Wash: speed (g) 100000 Characterization: Protein analysis

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