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You searched for: EV150046 (EV-TRACK ID)

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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.
    • (d)(U)C = (differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
Experiment number
  • Experiments differ in Sample type
Experiment number
  • Experiments differ in Sample type
Details EV-TRACK ID Experiment nr. Species Sample type Separation protocol First author Year EV-METRIC
EV150046 2/2 Mus musculus Serum (d)(U)C
ExoQuick
Filtration
Momen-Heravi F 2015 25%

Study summary

Full title
All authors
Momen-Heravi F, Saha B, Kodys K, Catalano D, Satishchandran A, Szabo G
Journal
J Transl Med
Abstract
BACKGROUND: It has been well documented that alcohol and its metabolites induce injury and inflammat (show more...)BACKGROUND: It has been well documented that alcohol and its metabolites induce injury and inflammation in the liver. However, there is no potential biomarker to monitor the extent of liver injury in alcoholic hepatitis patients. MicroRNAs (miRNAs) are a class of non-coding RNAs that are involved in various physiologic and pathologic processes. In the circulation, a great proportion of miRNAs is associated with extracellular vesicles (EVs)/exosomes. Here, we hypothesized that the exosome-associated miRNAs can be used as potential biomarkers in alcoholic hepatitis (AH). METHODS: Exosomes were isolated from sera of alcohol-fed mice or pair-fed mice, and plasma of alcoholic hepatitis patients or healthy controls by ExoQuick. The exosomes were characterized by transmission electron microscopy and Western blot and enumerated with a Nanoparticle Tracking Analysis system. Firefly™ microRNA Assay was performed on miRNA extracted from mice sera. TaqMan microRNA assay was used to identify differentially expressed miRNAs in plasma of cohort of patients with AH versus controls followed by construction of receiver operating characteristic (ROC) curves to determine the sensitivity and specificity of the candidates. RESULTS: The total number of circulating EVs was significantly increased in mice after alcohol feeding. Those EVs mainly consisted of exosomes, the smaller size vesicle subpopulation of EVs. By performing microarray screening on exosomes, we found nine inflammatory miRNAs which were deregulated in sera of chronic alcohol-fed mice compared to controls including upregulated miRNAs: miRNA-192, miRNA-122, miRNA-30a, miRNA-744, miRNA-1246, miRNA 30b and miRNA-130a. The ROC analyses indicated excellent diagnostic value of miRNA-192, miRNA-122, and miRNA-30a to identify alcohol-induced liver injury. We further validated findings from our animal model in human samples. Consistent with the animal model, total number of EVs, mostly exosomes, was significantly increased in human subjects with AH. Both miRNA-192 and miRNA-30a were significantly increased in the circulation of subjects with AH. miRNA-192 showed promising value for the diagnosis of AH. CONCLUSION: Elevated level of EVs/exosomes and exosome-associated miRNA signature could serve as potential diagnostic markers for AH. In addition to the biomarker diagnostic capabilities, these findings may facilitate development of novel strategies for diagnostics, monitoring, and therapeutics of AH. (hide)
EV-METRIC
25% (67th 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
NAY
Focus vesicles
exosomes
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
ExoQuick
Filtration
Protein markers
EV: CD63
non-EV: Cell organelle protein
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Mus musculus
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
Pelleting performed
No
Filtration steps
> 0.45 µm, 0.45µm > x > 0.22µm, 0.22µm or 0.2µm
Commercial kit
ExoQuick
Other
Name other separation method
ExoQuick
Characterization: Protein analysis
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
CD63
Detected contaminants
Cell organelle protein
Characterization: Particle analysis
NTA
EM
EM-type
transmission EM
Image type
Wide-field
EV150046 1/2 Homo sapiens Blood plasma (d)(U)C
ExoQuick
Filtration
Momen-Heravi F 2015 0%

Study summary

Full title
All authors
Momen-Heravi F, Saha B, Kodys K, Catalano D, Satishchandran A, Szabo G
Journal
J Transl Med
Abstract
BACKGROUND: It has been well documented that alcohol and its metabolites induce injury and inflammat (show more...)BACKGROUND: It has been well documented that alcohol and its metabolites induce injury and inflammation in the liver. However, there is no potential biomarker to monitor the extent of liver injury in alcoholic hepatitis patients. MicroRNAs (miRNAs) are a class of non-coding RNAs that are involved in various physiologic and pathologic processes. In the circulation, a great proportion of miRNAs is associated with extracellular vesicles (EVs)/exosomes. Here, we hypothesized that the exosome-associated miRNAs can be used as potential biomarkers in alcoholic hepatitis (AH). METHODS: Exosomes were isolated from sera of alcohol-fed mice or pair-fed mice, and plasma of alcoholic hepatitis patients or healthy controls by ExoQuick. The exosomes were characterized by transmission electron microscopy and Western blot and enumerated with a Nanoparticle Tracking Analysis system. Firefly™ microRNA Assay was performed on miRNA extracted from mice sera. TaqMan microRNA assay was used to identify differentially expressed miRNAs in plasma of cohort of patients with AH versus controls followed by construction of receiver operating characteristic (ROC) curves to determine the sensitivity and specificity of the candidates. RESULTS: The total number of circulating EVs was significantly increased in mice after alcohol feeding. Those EVs mainly consisted of exosomes, the smaller size vesicle subpopulation of EVs. By performing microarray screening on exosomes, we found nine inflammatory miRNAs which were deregulated in sera of chronic alcohol-fed mice compared to controls including upregulated miRNAs: miRNA-192, miRNA-122, miRNA-30a, miRNA-744, miRNA-1246, miRNA 30b and miRNA-130a. The ROC analyses indicated excellent diagnostic value of miRNA-192, miRNA-122, and miRNA-30a to identify alcohol-induced liver injury. We further validated findings from our animal model in human samples. Consistent with the animal model, total number of EVs, mostly exosomes, was significantly increased in human subjects with AH. Both miRNA-192 and miRNA-30a were significantly increased in the circulation of subjects with AH. miRNA-192 showed promising value for the diagnosis of AH. CONCLUSION: Elevated level of EVs/exosomes and exosome-associated miRNA signature could serve as potential diagnostic markers for AH. In addition to the biomarker diagnostic capabilities, these findings may facilitate development of novel strategies for diagnostics, monitoring, and therapeutics of AH. (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. 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
Blood plasma
Sample origin
NAY
Focus vesicles
exosomes
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
ExoQuick
Filtration
Protein markers
EV:
non-EV:
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Pelleting performed
No
Filtration steps
> 0.45 µm, 0.45µm > x > 0.22µm, 0.22µm or 0.2µm
Commercial kit
ExoQuick
Other
Name other separation method
ExoQuick
Characterization: Particle analysis
None
1 - 2 of 2
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV150046
species
Mus musculus
Homo sapiens
sample type
Serum
Blood plasma
condition
NAY
NAY
separation protocol
(d)(U)C
ExoQuick
Filtration
(d)(U)C
ExoQuick
Filtration
Exp. nr.
2
1
EV-METRIC %
25
0