EV-TRACK

Search > Results

You searched for: EV200005 (EV-TRACK ID)

Showing 1 - 6 of 6

Results list Study Tree

Details	EV-TRACK ID	Experiment nr.	Species	Sample type	Separation protocol	First author	Year	EV-METRIC
	EV200005	1/6	Homo sapiens	Serum	(d)(U)C Filtration	Tzaridis, Theophilos	2021	75%
Study summary Full title Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications All authors Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg, Christoph Coch, Katrin S Reiners, Gunther Hartmann Journal Int J Mol Sci Abstract Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable s (show more...)Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma. (hide) EV-METRIC 75% (98th 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. For the quantitative method, the reporting of measured EV concentration is expected. 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 extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (d)(U)C Filtration Protein markers EV: TSG101/ Flotillin1/ CD63/ CD9 non-EV: Calnexin Proteomics yes Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Serum Separation Method (Differential) (ultra)centrifugation dUC: 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 Pelleting performed Yes Pelleting: time(min) 105 Pelleting: rotor type SW 41 Ti Pelleting: speed (g) 100000 Wash: volume per pellet (ml) 11 Wash: time (min) 105 Wash: Rotor Type SW 41 Ti Wash: speed (g) 100000 Filtration steps 0.45µm > x > 0.22µm, Characterization: Protein analysis Protein Concentration Method Other Western Blot Detected EV-associated proteins Flotillin1/ TSG101 Not detected contaminants Calnexin Flow cytometry aspecific beads Detected EV-associated proteins CD9/ CD63 Proteomics database Yes: Characterization: RNA analysis RNA analysis Type (RT)(q)PCR Database No Proteinase treatment No RNAse treatment No Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Median Reported size (nm) 151 EV concentration Yes Particle yield particles/ml;Yes, other: 1.20E+09 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV200005	2/6	Homo sapiens	Serum	(d)(U)C Filtration qEV	Tzaridis, Theophilos	2021	75%
Study summary Full title Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications All authors Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg, Christoph Coch, Katrin S Reiners, Gunther Hartmann Journal Int J Mol Sci Abstract Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable s (show more...)Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma. (hide) EV-METRIC 75% (98th 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. For the quantitative method, the reporting of measured EV concentration is expected. 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 extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (d)(U)C Filtration qEV Protein markers EV: TSG101/ Flotillin1/ CD63/ CD9 non-EV: Calnexin Proteomics yes Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Serum Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Pelleting performed No Filtration steps 0.45µm > x > 0.22µm, Commercial kit qEV Other Name other separation method qEV Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins Flotillin1/ TSG101 Not detected contaminants Calnexin Flow cytometry aspecific beads Detected EV-associated proteins CD9/ CD63 Proteomics database Yes: Characterization: RNA analysis RNA analysis Type (RT)(q)PCR Database No Proteinase treatment No RNAse treatment No Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Median Reported size (nm) 109 EV concentration Yes Particle yield particles/ml;Yes, other: 5.50E+10 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV200005	3/6	Homo sapiens	Serum	(d)(U)C Filtration	Tzaridis, Theophilos	2021	75%
Study summary Full title Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications All authors Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg, Christoph Coch, Katrin S Reiners, Gunther Hartmann Journal Int J Mol Sci Abstract Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable s (show more...)Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma. (hide) EV-METRIC 75% (98th 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. For the quantitative method, the reporting of measured EV concentration is expected. 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 extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (d)(U)C Filtration Protein markers EV: TSG101/ Flotillin1/ not done non-EV: Calnexin Proteomics no Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Serum Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Pelleting performed No Filtration steps 0.45µm > x > 0.22µm, Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins Flotillin1/ TSG101 Detected contaminants Calnexin Flow cytometry aspecific beads Detected EV-associated proteins not done Characterization: RNA analysis RNA analysis Type (RT)(q)PCR Database No Proteinase treatment No RNAse treatment No Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Median Reported size (nm) 107 Particle yield NA NA EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV200005	4/6	Homo sapiens	Serum	(d)(U)C Filtration qEV UF	Tzaridis, Theophilos	2021	75%
Study summary Full title Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications All authors Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg, Christoph Coch, Katrin S Reiners, Gunther Hartmann Journal Int J Mol Sci Abstract Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable s (show more...)Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma. (hide) EV-METRIC 75% (98th 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. For the quantitative method, the reporting of measured EV concentration is expected. 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 extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (d)(U)C Filtration qEV UF Protein markers EV: TSG101/ Flotillin1/ CD63/ CD9 non-EV: Calnexin Proteomics yes Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Serum Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Pelleting performed No Filtration steps 0.45µm > x > 0.22µm, Ultra filtration Cut-off size (kDa) 10 Membrane type Regenerated cellulose Commercial kit qEV Other Name other separation method qEV Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins Flotillin1/ TSG101 Not detected contaminants Calnexin Flow cytometry aspecific beads Detected EV-associated proteins CD63/ CD9 Proteomics database Yes: Characterization: RNA analysis RNA analysis Type (RT)(q)PCR Database No Proteinase treatment No RNAse treatment No Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Median Reported size (nm) 104 EV concentration Yes Particle yield particles/ml;Yes, other: 3.50E+11 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV200005	5/6	Homo sapiens	Serum	(d)(U)C Filtration qEV	Tzaridis, Theophilos	2021	75%
Study summary Full title Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications All authors Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg, Christoph Coch, Katrin S Reiners, Gunther Hartmann Journal Int J Mol Sci Abstract Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable s (show more...)Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma. (hide) EV-METRIC 75% (98th 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. For the quantitative method, the reporting of measured EV concentration is expected. 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 extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (d)(U)C Filtration qEV Protein markers EV: TSG101/ Flotillin1/ CD63/ CD9 non-EV: Calnexin Proteomics yes Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Serum Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Between 100,000 g and 150,000 g Pelleting performed Yes Pelleting: time(min) 105 Pelleting: rotor type TLA-55 Pelleting: speed (g) 110000 Filtration steps 0.45µm > x > 0.22µm, Commercial kit qEV Other Name other separation method qEV Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins Flotillin1/ TSG101 Not detected contaminants Calnexin Flow cytometry aspecific beads Detected EV-associated proteins CD9/ CD63 Proteomics database Yes: Characterization: RNA analysis RNA analysis Type (RT)(q)PCR Database No Proteinase treatment No RNAse treatment No Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Median Reported size (nm) 119 EV concentration Yes Particle yield particles/ml;Yes, other: 4.20E+10 EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV200005	6/6	Homo sapiens	Serum	(d)(U)C Filtration qEV	Tzaridis, Theophilos	2021	75%
Study summary Full title Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications All authors Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg, Christoph Coch, Katrin S Reiners, Gunther Hartmann Journal Int J Mol Sci Abstract Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable s (show more...)Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma. (hide) EV-METRIC 75% (98th 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. For the quantitative method, the reporting of measured EV concentration is expected. 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 extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (d)(U)C Filtration qEV Protein markers EV: TSG101/ Flotillin1/ CD63/ CD9 non-EV: Calnexin Proteomics yes Show all info Study aim Technical analysis comparing/optimizing EV-related methods Sample Species Homo sapiens Sample Type Serum Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Pelleting performed No Filtration steps 0.45µm > x > 0.22µm, Commercial kit qEV Other Name other separation method qEV Characterization: Protein analysis Protein Concentration Method Bradford Western Blot Detected EV-associated proteins TSG101 Not detected EV-associated proteins Flotillin1 Not detected contaminants Calnexin Flow cytometry aspecific beads Detected EV-associated proteins CD9/ CD63 Proteomics database Yes: Characterization: RNA analysis RNA analysis Type (RT)(q)PCR Database No Proteinase treatment No RNAse treatment No Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Median Reported size (nm) 155 EV concentration Yes Particle yield particles/ml;Yes, other: 3.20E+09 EM EM-type Transmission-EM Image type Close-up, Wide-field

				1 - 6 of 6

EV-TRACK ID	EV200005
species	Homo sapiens
sample type	Serum
condition	Control condition
separation protocol	(d)(U)C Filtration	(d)(U)C Filtration qEV	(d)(U)C Filtration	(d)(U)C Filtration qEV UF	(d)(U)C Filtration qEV	(d)(U)C Filtration qEV
Exp. nr.	1	2	3	4	5	6
EV-METRIC %	75	75	75	75	75	75