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Experiment number
  • If needed, multiple experiments were identified in a single publication based on differing sample types, separation protocols and/or vesicle types of interest.
Species
  • Species of origin of the EVs.
Separation protocol
  • Gives a short, non-chronological overview of the different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Experiment number
  • Experiments differ in sample type and particle analysis
Details EV-TRACK ID Experiment nr. Species Sample type separation protocol First author Year EV-METRIC
EV160015 1/4 Homo sapiens Cell culture supernatant Filtration
(Differential) (ultra)centrifugation
Qu L 2016 0%

Study summary

Full title
All authors
Qu L, Ding J, Chen C, Wu ZJ, Liu B, Gao Y, Chen W, Liu F, Sun W, Li XF, Wang X, Wang Y, Xu ZY, Gao L, Yang Q, Xu B, Li YM, Fang ZY, Xu ZP, Bao Y, Wu DS, Miao X, Sun HY, Sun YH, Wang HY, Wang LH.
Journal
Cancer Res
Abstract
Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the (show more...)Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the underlying mechanisms and developing effective strategies against sunitinib resistance are highly desired in the clinic. Here we identified an lncRNA, named lncARSR (lncRNA Activated in RCC with Sunitinib Resistance), which correlated with clinically poor sunitinib response. lncARSR promoted sunitinib resistance via competitively binding miR-34/miR-449 to facilitate AXL and c-MET expression in RCC cells. Furthermore, bioactive lncARSR could be incorporated into exosomes and transmitted to sensitive cells, thus disseminating sunitinib resistance. Treatment of sunitinib-resistant RCC with locked nucleic acids targeting lncARSR or an AXL/c-MET inhibitor restored sunitinib response. Therefore, lncARSR may serve as a predictor and a potential therapeutic target for sunitinib resistance. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + (Differential) (ultra)centrifugation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
786-O
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: 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
Pelleting: time(min)
70
Pelleting: speed (g)
100000
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Detected EV-associated proteins
CD9/ TSG101
Characterization: RNA analysis
RNAse treatment
Moment of RNAse treatment
After
RNAse type
RNase A
RNAse concentration
Not specified
Characterization: Particle analysis
NTA
Report type
Not Reported
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Close-up
EV160015 2/4 Homo sapiens Cell culture supernatant Filtration
(Differential) (ultra)centrifugation
Qu L 2016 0%

Study summary

Full title
All authors
Qu L, Ding J, Chen C, Wu ZJ, Liu B, Gao Y, Chen W, Liu F, Sun W, Li XF, Wang X, Wang Y, Xu ZY, Gao L, Yang Q, Xu B, Li YM, Fang ZY, Xu ZP, Bao Y, Wu DS, Miao X, Sun HY, Sun YH, Wang HY, Wang LH.
Journal
Cancer Res
Abstract
Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the (show more...)Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the underlying mechanisms and developing effective strategies against sunitinib resistance are highly desired in the clinic. Here we identified an lncRNA, named lncARSR (lncRNA Activated in RCC with Sunitinib Resistance), which correlated with clinically poor sunitinib response. lncARSR promoted sunitinib resistance via competitively binding miR-34/miR-449 to facilitate AXL and c-MET expression in RCC cells. Furthermore, bioactive lncARSR could be incorporated into exosomes and transmitted to sensitive cells, thus disseminating sunitinib resistance. Treatment of sunitinib-resistant RCC with locked nucleic acids targeting lncARSR or an AXL/c-MET inhibitor restored sunitinib response. Therefore, lncARSR may serve as a predictor and a potential therapeutic target for sunitinib resistance. (hide)
EV-METRIC
0% (median: 22% 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
Sample origin
xenograft-derived sunitinib-resistant clone
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + (Differential) (ultra)centrifugation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
xenograft-derived sunitinib-resistant clone
EV-producing cells
786-O
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: 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
Pelleting: time(min)
70
Pelleting: speed (g)
100000
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Detected EV-associated proteins
CD9/ TSG101
Characterization: RNA analysis
RNAse treatment
Moment of RNAse treatment
After
RNAse type
RNase A
RNAse concentration
Not specified
Characterization: Particle analysis
NTA
Report type
Not Reported
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Close-up
EV160015 3/4 Homo sapiens Cell culture supernatant Filtration
(Differential) (ultra)centrifugation
Qu L 2016 0%

Study summary

Full title
All authors
Qu L, Ding J, Chen C, Wu ZJ, Liu B, Gao Y, Chen W, Liu F, Sun W, Li XF, Wang X, Wang Y, Xu ZY, Gao L, Yang Q, Xu B, Li YM, Fang ZY, Xu ZP, Bao Y, Wu DS, Miao X, Sun HY, Sun YH, Wang HY, Wang LH.
Journal
Cancer Res
Abstract
Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the (show more...)Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the underlying mechanisms and developing effective strategies against sunitinib resistance are highly desired in the clinic. Here we identified an lncRNA, named lncARSR (lncRNA Activated in RCC with Sunitinib Resistance), which correlated with clinically poor sunitinib response. lncARSR promoted sunitinib resistance via competitively binding miR-34/miR-449 to facilitate AXL and c-MET expression in RCC cells. Furthermore, bioactive lncARSR could be incorporated into exosomes and transmitted to sensitive cells, thus disseminating sunitinib resistance. Treatment of sunitinib-resistant RCC with locked nucleic acids targeting lncARSR or an AXL/c-MET inhibitor restored sunitinib response. Therefore, lncARSR may serve as a predictor and a potential therapeutic target for sunitinib resistance. (hide)
EV-METRIC
0% (median: 22% 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
Sample origin
xenograft-derived sunitinib-sensitive clone
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + (Differential) (ultra)centrifugation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
xenograft-derived sunitinib-sensitive clone
EV-producing cells
786-O
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: 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
Pelleting: time(min)
70
Pelleting: speed (g)
100000
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Detected EV-associated proteins
CD9/ TSG101
Characterization: RNA analysis
RNAse treatment
Moment of RNAse treatment
After
RNAse type
RNase A
RNAse concentration
Not specified
Characterization: Particle analysis
NTA
Report type
Not Reported
EV concentration
Yes
EM
EM-type
Not specified
Image type
Close-up
EV160015 4/4 Homo sapiens Cell culture supernatant Filtration
(Differential) (ultra)centrifugation
Qu L 2016 0%

Study summary

Full title
All authors
Qu L, Ding J, Chen C, Wu ZJ, Liu B, Gao Y, Chen W, Liu F, Sun W, Li XF, Wang X, Wang Y, Xu ZY, Gao L, Yang Q, Xu B, Li YM, Fang ZY, Xu ZP, Bao Y, Wu DS, Miao X, Sun HY, Sun YH, Wang HY, Wang LH.
Journal
Cancer Res
Abstract
Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the (show more...)Sunitinib resistance is a major challenge for advanced renal cell carcinoma (RCC). Understanding the underlying mechanisms and developing effective strategies against sunitinib resistance are highly desired in the clinic. Here we identified an lncRNA, named lncARSR (lncRNA Activated in RCC with Sunitinib Resistance), which correlated with clinically poor sunitinib response. lncARSR promoted sunitinib resistance via competitively binding miR-34/miR-449 to facilitate AXL and c-MET expression in RCC cells. Furthermore, bioactive lncARSR could be incorporated into exosomes and transmitted to sensitive cells, thus disseminating sunitinib resistance. Treatment of sunitinib-resistant RCC with locked nucleic acids targeting lncARSR or an AXL/c-MET inhibitor restored sunitinib response. Therefore, lncARSR may serve as a predictor and a potential therapeutic target for sunitinib resistance. (hide)
EV-METRIC
0% (median: 22% 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
Sample origin
xenograft-derived sunitinib-resistant clone
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + (Differential) (ultra)centrifugation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
xenograft-derived sunitinib-resistant clone
EV-producing cells
786-O
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: 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
Pelleting: time(min)
70
Pelleting: speed (g)
100000
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Detected EV-associated proteins
TSG101/ CD9
Characterization: RNA analysis
RNAse treatment
Moment of RNAse treatment
After
RNAse type
RNase A
RNAse concentration
Not specified
Characterization: Particle analysis
NTA
Report type
Not Reported
EV concentration
Yes
EM
EM-type
Not specified
Image type
Close-up
EV160013 1/3 Homo sapiens Serum (Differential) (ultra)centrifugation Dong L 2016 0%

Study summary

Full title
All authors
Dong L, Lin W, Qi P, Xu MD, Wu X, Ni S, Huang D, Weng WW, Tan C, Sheng W, Zhou X, Du X.
Journal
Cancer Epidemiol Biomarkers Prev
Abstract
BACKGROUND: Long noncoding RNA (lncRNA) and mRNAs are long RNAs (≥200 nucleotides) compared with m (show more...)BACKGROUND: Long noncoding RNA (lncRNA) and mRNAs are long RNAs (≥200 nucleotides) compared with miRNAs. In blood, long RNAs may be protected by serum extracellular vesicles, such as apoptotic bodies (AB), microvesicles (MV), and exosomes (EXO). They are potential biomarkers for identifying cancer. METHODS: Sera from 76 preoperative colorectal cancer patients, 76 age- and sex-matched healthy subjects, and 20 colorectal adenoma patients without colorectal cancer were collected. We investigated the distribution of long RNAs into the three vesicles. Seventy-nine cancer-related long RNAs were chosen and detected using qPCR. RESULTS: The quantity of long RNA has varying distribution among three subtypes of extracellular vesicles in serum. Most mRNA and lncRNA genes had higher quantity in EXOs than that in ABs and MVs, whereas MVs contain lowest quantity. We investigated 79 long RNAs chosen from The Cancer Genome Atlas and the LncRNADisease database in the sera of healthy patients, and those with colorectal cancer. In the training and test sets, the AUCs were 0.936 and 0.877, respectively. The AUC of total serum RNA was lower (0.857) than that of exosomal RNA in the same samples (0.936). CONCLUSION: The present study shows that exosomal mRNAs and lncRNAs in serum could be used as biomarkers to detect colorectal cancer. (hide)
EV-METRIC
0% (median: 13% 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
colorectal cancer
Focus vesicles
apoptotic body
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
(Differential) (ultra)centrifugation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Serum
Sample Condition
colorectal cancer
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting: time(min)
30
Pelleting: rotor type
Not specified
Pelleting: speed (g)
2000
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160012 4/8 Homo sapiens Cell culture supernatant (Differential) (ultra)centrifugation
Filtration
Hannafon BN 2016 0%

Study summary

Full title
All authors
Hannafon BN, Trigoso YD, Calloway CL, Zhao YD, Lum DH, Welm AL, Zhao ZJ, Blick KE, Dooley WC, Ding WQ.
Journal
Breast Cancer Res Treat
Abstract
BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific (show more...)BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well-evaluated as biomarkers for breast cancer diagnosis or monitoring. METHODS: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. RESULTS: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 patients with breast cancer as compared to the plasma exosomes of healthy control subjects. Receiver operating characteristic curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 is a better indicator of breast cancer than their individual levels. CONCLUSIONS: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of patients with breast cancer. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
(Differential) (ultra)centrifugation + Filtration
Protein markers
EV:
non-EV:
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
ZR-75-1 / T47D / BT20 / BT-474 / SK-BR-3
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
2h at 100,000g
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 10,000 g and 50,000 g
Between 100,000 g and 150,000 g
Pelleting: time(min)
60
Pelleting: rotor type
Not specified
Pelleting: speed (g)
100000
Wash: volume per pellet (ml)
10
Wash: time (min)
60
Wash: Rotor Type
Not specified
Wash: speed (g)
100000
Filtration steps
0.22µm or 0.2µm
Protein Concentration Method
Bradford
Characterization: Particle analysis
EV160012 5/8 Homo sapiens Blood plasma ExoQuick Hannafon BN 2016 0%

Study summary

Full title
All authors
Hannafon BN, Trigoso YD, Calloway CL, Zhao YD, Lum DH, Welm AL, Zhao ZJ, Blick KE, Dooley WC, Ding WQ.
Journal
Breast Cancer Res Treat
Abstract
BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific (show more...)BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well-evaluated as biomarkers for breast cancer diagnosis or monitoring. METHODS: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. RESULTS: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 patients with breast cancer as compared to the plasma exosomes of healthy control subjects. Receiver operating characteristic curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 is a better indicator of breast cancer than their individual levels. CONCLUSIONS: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of patients with breast cancer. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer. (hide)
EV-METRIC
0% (median: 14% 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
Control condition
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
ExoQuick
Protein markers
EV:
non-EV:
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Sample Condition
Control condition
Separation Method
Commercial kit
ExoQuick
Protein Concentration Method
Bradford
EM
EM-type
Transmission-EM
Image type
Close-up
EV160012 6/8 Homo sapiens Blood plasma ExoQuick Hannafon BN 2016 0%

Study summary

Full title
All authors
Hannafon BN, Trigoso YD, Calloway CL, Zhao YD, Lum DH, Welm AL, Zhao ZJ, Blick KE, Dooley WC, Ding WQ.
Journal
Breast Cancer Res Treat
Abstract
BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific (show more...)BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well-evaluated as biomarkers for breast cancer diagnosis or monitoring. METHODS: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. RESULTS: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 patients with breast cancer as compared to the plasma exosomes of healthy control subjects. Receiver operating characteristic curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 is a better indicator of breast cancer than their individual levels. CONCLUSIONS: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of patients with breast cancer. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer. (hide)
EV-METRIC
0% (median: 14% 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
Breast cancer
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
ExoQuick
Protein markers
EV:
non-EV:
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Sample Condition
Breast cancer
Separation Method
Commercial kit
ExoQuick
Protein Concentration Method
Bradford
EV160012 7/8 Mus musculus Blood plasma Immunoaffinity capture (non-commercial)
ExoQuick
Hannafon BN 2016 0%

Study summary

Full title
All authors
Hannafon BN, Trigoso YD, Calloway CL, Zhao YD, Lum DH, Welm AL, Zhao ZJ, Blick KE, Dooley WC, Ding WQ.
Journal
Breast Cancer Res Treat
Abstract
BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific (show more...)BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well-evaluated as biomarkers for breast cancer diagnosis or monitoring. METHODS: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. RESULTS: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 patients with breast cancer as compared to the plasma exosomes of healthy control subjects. Receiver operating characteristic curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 is a better indicator of breast cancer than their individual levels. CONCLUSIONS: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of patients with breast cancer. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer. (hide)
EV-METRIC
0% (median: 14% 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
PDX breast cancer model
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Immunoaffinity capture (non-commercial) + ExoQuick
Protein markers
EV:
non-EV:
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Mus musculus
Sample Type
Blood plasma
Sample Condition
PDX breast cancer model
Separation Method
Commercial kit
ExoQuick
Protein Concentration Method
Bradford
Characterization: Particle analysis
NTA
Report type
Mean
Reported size (nm)
84.6
EV concentration
Yes
EV160012 8/8 Mus musculus Blood plasma Immunoaffinity capture (non-commercial)
ExoQuick
Hannafon BN 2016 0%

Study summary

Full title
All authors
Hannafon BN, Trigoso YD, Calloway CL, Zhao YD, Lum DH, Welm AL, Zhao ZJ, Blick KE, Dooley WC, Ding WQ.
Journal
Breast Cancer Res Treat
Abstract
BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific (show more...)BACKGROUND: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well-evaluated as biomarkers for breast cancer diagnosis or monitoring. METHODS: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. RESULTS: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 patients with breast cancer as compared to the plasma exosomes of healthy control subjects. Receiver operating characteristic curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 is a better indicator of breast cancer than their individual levels. CONCLUSIONS: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of patients with breast cancer. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer. (hide)
EV-METRIC
0% (median: 14% 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
Control condition
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Immunoaffinity capture (non-commercial) + ExoQuick
Protein markers
EV:
non-EV:
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Mus musculus
Sample Type
Blood plasma
Sample Condition
Control condition
Separation Method
Commercial kit
ExoQuick
Protein Concentration Method
Bradford
Characterization: Particle analysis
EV160014 1/10 Homo sapiens Cell culture supernatant Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
HCT116
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 2/10 Homo sapiens Cell culture supernatant Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
SW480
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 3/10 Homo sapiens Cell culture supernatant Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
SW620
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 4/10 Homo sapiens Cell culture supernatant Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
HT-29
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 5/10 Homo sapiens Cell culture supernatant Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
FHC
EV-harvesting Medium
Serum-containing medium
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 6/10 Homo sapiens Serum Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 13% 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
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
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
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
HSP70/ CD63
Characterization: Particle analysis
EM
EM-type
Transmission-EM
Image type
Wide-field
EV160014 7/10 Homo sapiens Serum Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 13% 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
inflammatory bowel disease
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Serum
Sample Condition
inflammatory bowel disease
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 8/10 Homo sapiens Serum Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 13% 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
hyperplastic polyp
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Serum
Sample Condition
hyperplastic polyp
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 9/10 Homo sapiens Serum Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 13% 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
adenoma
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Serum
Sample Condition
adenoma
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160014 10/10 Homo sapiens Serum Filtration
dUC
ExoQuick
Liu T 2016 0%

Study summary

Full title
All authors
Liu T, Zhang X, Gao S, Jing F, Yang Y, Du L, Zheng G, Li P, Li C, Wang C.
Journal
Oncotarget
Abstract
Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The (show more...)Cancer-secreted long non-coding RNAs (lncRNAs) are emerging mediators of cancer-host cross talk. The aim of our study was to illustrate the clinical significance of the lncRNA CRNDE-h in exosomes purified from the serum of patients with colorectal cancer (CRC). The study was divided into four parts: (1) The exosome isolated methods and lncRNA detected methods which accurately and reproducibly measure CRC-related exosomal CRNDE-h in serum were optimized in preliminary pilot stage; (2) The stability of exosomal CRNDE-h was evaluated systematically; (3) The origin of exosomal CRNDE-h was explorated in vitro and in vivo; (4) The diagnostic and prognostic value of exosomal CRNDE-h for CRC were validated in 468 patients. In pilot study, our results indicated that exosomal CRNDE-h was detectable and stable in serum of CRC patients, and derived from tumor cells. Then, the increased expression of exosomal CRNDE-h was successfully validated in 148 CRC patients when compared with colorectal benign disease patients and healthy donors. Exosomal CRNDE-h level significantly correlated with CRC regional lymph node metastasis (P = 0.019) and distant metastasis (P = 0.003). Moreover, at the cut-off value of 0.020 exosomal CRNDE-h level of serum, the area under ROC curve distinguishing CRC from colorectal benign disease patients and healthy donors was 0.892, with 70.3% sensitivity and 94.4% specificity, which was superior to carcinoembryogenic antigen. In addition, high exosomal CRNDE-h level has a lower overall survival rates than that for low groups (34.6% vs. 68.2%, P < 0.001). In conclusion, detection of lncRNA CRNDE-h in exosome shed a light on utilizing exosomal CRNDE-h as a noninvasive serum-based tumor marker for diagnosis and prognosis of CRC. (hide)
EV-METRIC
0% (median: 13% 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
colorectal cancer
Focus vesicles
exosome
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Filtration + dUC + ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Serum
Sample Condition
colorectal cancer
Separation Method
Differential ultracentrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Commercial kit
ExoQuick
Protein Concentration Method
Not determined
Characterization: Particle analysis
EV160010 1/1 Homo sapiens Cell culture supernatant ExoQuick Reza AMMT 2016 0%

Study summary

Full title
All authors
Reza AMMT, Choi YJ, Yasuda H, Kim JH.
Journal
Sci Rep
Abstract
An enigmatic question exists concerning the pro- or anti-cancer status of mesenchymal stem cells (MS (show more...)An enigmatic question exists concerning the pro- or anti-cancer status of mesenchymal stem cells (MSCs). Despite growing interest, this question remains unanswered, and the debate became intensified with new evidences backing each side. Here, we showed that human adipose MSC (hAMSC)-derived conditioned medium (CM) exhibited inhibitory effects on A2780 human ovarian cancer cells by blocking the cell cycle, and activating mitochondria-mediated apoptosis signalling. Explicitly, we demonstrated that exosomes, an important biological component of hAMSC-CM, could restrain proliferation, wound-repair and colony formation ability of A2780 and SKOV-3 cancer cells. Furthermore, hAMSC-CM-derived exosomes induced apoptosis signalling by upregulating different pro-apoptotic signalling molecules, such as BAX, CASP9, and CASP3, as well as downregulating the anti-apoptotic protein BCL2. More specifically, cancer cells exhibited reduced viability following fresh or protease-digested exosome treatment; however, treatment with RNase-digested exosomes could not inhibit the proliferation of cancer cells. Additionally, sequencing of exosomal RNAs revealed a rich population of microRNAs (miRNAs), which exhibit anti-cancer activities by targeting different molecules associated with cancer survival. Our findings indicated that exosomal miRNAs are important players involved in the inhibitory influence of hAMSC-CM towards ovarian cancer cells. Therefore, we believe that these comprehensive results will provide advances concerning ovarian cancer research and treatment. (hide)
EV-METRIC
0% (median: 22% 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
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.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
ExoQuick
Protein markers
EV: CD63
non-EV:
Proteomics
no
Show all info
Study aim
Function/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
adipose mesenchymal stem cells
EV-harvesting Medium
Serum-containing medium
Separation Method
Commercial kit
ExoQuick
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Detected EV-associated proteins
CD63
EM
EM-type
Transmission-EM
Image type
Wide-field
Report size (nm)
50-150
EV160002 1/3 Homo sapiens Extruded cells (U973) DG
Sequential extrusion
DC
Lunavat TR 2016 0%

Study summary

Full title
All authors
Lunavat TR, Jang SC, Nilsson L, Park HT, Repiska G, Lässer C, Nilsson JA, Gho YS, Lötvall J
Journal
Biomaterials
Abstract
To develop RNA-based therapeutics, it is crucial to create delivery vectors that transport the RNA m (show more...)To develop RNA-based therapeutics, it is crucial to create delivery vectors that transport the RNA molecule into the cell cytoplasm. Naturally released exosomes vesicles (also called "Extracellular Vesicles") have been proposed as possible RNAi carriers, but their yield is relatively small in any cell culture system. We have previously generated exosome-mimetic nanovesicles (NV) by serial extrusions of cells through nano-sized filters, which results in 100-times higher yield of extracellular vesicles. We here test 1) whether NV can be loaded with siRNA exogenously and endogenously, 2) whether the siRNA-loaded NV are taken up by recipient cells, and 3) whether the siRNA can induce functional knock-down responses in recipient cells. A siRNA against GFP was first loaded into NV by electroporation, or a c-Myc shRNA was expressed inside of the cells. The NV were efficiently loaded with siRNA with both techniques, were taken up by recipient cells, which resulted in attenuation of target gene expression. In conclusion, our study suggests that exosome-mimetic nanovesicles can be a platform for RNAi delivery to cell cytoplasm. (hide)
EV-METRIC
0% (median: 0% 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
Extruded cells (U973)
Sample origin
Control condition
Focus vesicles
Nanovesicles
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = differential ultracentrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
DG + Sequential extrusion + DC
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function, New methodological development
Sample
Species
Homo sapiens
Sample Type
Extruded cells (U973)
Sample Condition
Control condition
Separation Method
Density cushion
Density medium
Iodixanol
Other
Name other separation method
Sequential extrusion
Protein Concentration Method
Bradford
Characterization: Particle analysis
DLS
Report type
Modus
Reported size (nm)
150
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