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You searched for: EV130086 (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.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
Experiment number
  • Experiments differ in Sample type/Isolation method
Experiment number
  • Experiments differ in Sample type/Isolation method
Experiment number
  • Experiments differ in Sample type/Isolation method
Experiment number
  • Experiments differ in Sample type/Isolation method
Experiment number
  • Experiments differ in Sample type/Isolation method
Details EV-TRACK ID Experiment nr. Species Sample type separation protocol First author Year EV-METRIC
EV130086 2/5 Homo sapiens Pleural fluid dUC
Filtration
Chugh PE 2013 33%

Study summary

Full title
All authors
Chugh PE, Sin SH, Ozgur S, Henry DH, Menezes P, Griffith J, Eron JJ, Damania B, Dittmer DP
Journal
PLoS Pathog
Abstract
MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Rec (show more...)MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Recently, circulating miRNAs have been detected in various body fluids and within exosomes, prompting their evaluation as candidate biomarkers of diseases, especially cancer. Kaposi's sarcoma (KS) is the most common AIDS-associated cancer and remains prevalent despite Highly Active Anti-Retroviral Therapy (HAART). KS is caused by KS-associated herpesvirus (KSHV), a gamma herpesvirus also associated with Primary Effusion Lymphoma (PEL). We sought to determine the host and viral circulating miRNAs in plasma, pleural fluid or serum from patients with the KSHV-associated malignancies KS and PEL and from two mouse models of KS. Both KSHV-encoded miRNAs and host miRNAs, including members of the miR-17-92 cluster, were detectable within patient exosomes and circulating miRNA profiles from KSHV mouse models. Further characterization revealed a subset of miRNAs that seemed to be preferentially incorporated into exosomes. Gene ontology analysis of signature exosomal miRNA targets revealed several signaling pathways that are known to be important in KSHV pathogenesis. Functional analysis of endothelial cells exposed to patient-derived exosomes demonstrated enhanced cell migration and IL-6 secretion. This suggests that exosomes derived from KSHV-associated malignancies are functional and contain a distinct subset of miRNAs. These could represent candidate biomarkers of disease and may contribute to the paracrine phenotypes that are a characteristic of KS. (hide)
EV-METRIC
33% (83rd percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Pleural fluid
Sample origin
DNF
Focus vesicles
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
dUC + Filtration
Adj. k-factor
232.7 (pelleting) / 232.7 (washing)
Protein markers
EV: HSP90beta/ Beta-actin/ HSP90alpha/ Flotillin2
non-EV:
Proteomics
no
Show all info
Study aim
Function
Sample
Species
Homo sapiens
Sample Type
Pleural fluid
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Between 100,000 g and 150,000 g
Pelleting: time(min)
70
Pelleting: rotor type
SW32
Pelleting: adjusted k-factor
232.7
Wash: volume per pellet (ml)
35
Wash: Rotor Type
SW32
Wash: adjusted k-factor
232.7
Filtration steps
0.22µm or 0.2µm
Characterization: Protein analysis
Western Blot
Detected EV-associated proteins
Flotillin2/ HSP90alpha/ HSP90beta/ Beta-actin
ELISA
Detected EV-associated proteins
Flotillin2/ HSP90alpha/ HSP90beta/ Beta-actin
Characterization: Particle analysis
NA
EM
EM-type
transmission EM
Image type
Close-up
EV130086 3/5 Homo sapiens Pleural fluid dUC
ExoQuick
Filtration
Chugh PE 2013 25%

Study summary

Full title
All authors
Chugh PE, Sin SH, Ozgur S, Henry DH, Menezes P, Griffith J, Eron JJ, Damania B, Dittmer DP
Journal
PLoS Pathog
Abstract
MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Rec (show more...)MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Recently, circulating miRNAs have been detected in various body fluids and within exosomes, prompting their evaluation as candidate biomarkers of diseases, especially cancer. Kaposi's sarcoma (KS) is the most common AIDS-associated cancer and remains prevalent despite Highly Active Anti-Retroviral Therapy (HAART). KS is caused by KS-associated herpesvirus (KSHV), a gamma herpesvirus also associated with Primary Effusion Lymphoma (PEL). We sought to determine the host and viral circulating miRNAs in plasma, pleural fluid or serum from patients with the KSHV-associated malignancies KS and PEL and from two mouse models of KS. Both KSHV-encoded miRNAs and host miRNAs, including members of the miR-17-92 cluster, were detectable within patient exosomes and circulating miRNA profiles from KSHV mouse models. Further characterization revealed a subset of miRNAs that seemed to be preferentially incorporated into exosomes. Gene ontology analysis of signature exosomal miRNA targets revealed several signaling pathways that are known to be important in KSHV pathogenesis. Functional analysis of endothelial cells exposed to patient-derived exosomes demonstrated enhanced cell migration and IL-6 secretion. This suggests that exosomes derived from KSHV-associated malignancies are functional and contain a distinct subset of miRNAs. These could represent candidate biomarkers of disease and may contribute to the paracrine phenotypes that are a characteristic of KS. (hide)
EV-METRIC
25% (50th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Pleural fluid
Sample origin
DNF
Focus vesicles
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
dUC + ExoQuick + Filtration
Protein markers
EV: HSP90beta/ Beta-actin/ HSP90alpha/ Flotillin2
non-EV:
Proteomics
no
Show all info
Study aim
Function
Sample
Species
Homo sapiens
Sample Type
Pleural fluid
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Filtration steps
0.22µm or 0.2µm
Commercial kit
ExoQuick
Characterization: Protein analysis
Western Blot
Detected EV-associated proteins
Flotillin2/ HSP90alpha/ HSP90beta/ Beta-actin
ELISA
Detected EV-associated proteins
Flotillin2/ HSP90alpha/ HSP90beta/ Beta-actin
Characterization: Particle analysis
NA
EM
EM-type
transmission EM
Image type
Close-up
EV130086 1/5 Homo sapiens Cell culture supernatant dUC
Filtration
IAF
Chugh PE 2013 22%

Study summary

Full title
All authors
Chugh PE, Sin SH, Ozgur S, Henry DH, Menezes P, Griffith J, Eron JJ, Damania B, Dittmer DP
Journal
PLoS Pathog
Abstract
MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Rec (show more...)MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Recently, circulating miRNAs have been detected in various body fluids and within exosomes, prompting their evaluation as candidate biomarkers of diseases, especially cancer. Kaposi's sarcoma (KS) is the most common AIDS-associated cancer and remains prevalent despite Highly Active Anti-Retroviral Therapy (HAART). KS is caused by KS-associated herpesvirus (KSHV), a gamma herpesvirus also associated with Primary Effusion Lymphoma (PEL). We sought to determine the host and viral circulating miRNAs in plasma, pleural fluid or serum from patients with the KSHV-associated malignancies KS and PEL and from two mouse models of KS. Both KSHV-encoded miRNAs and host miRNAs, including members of the miR-17-92 cluster, were detectable within patient exosomes and circulating miRNA profiles from KSHV mouse models. Further characterization revealed a subset of miRNAs that seemed to be preferentially incorporated into exosomes. Gene ontology analysis of signature exosomal miRNA targets revealed several signaling pathways that are known to be important in KSHV pathogenesis. Functional analysis of endothelial cells exposed to patient-derived exosomes demonstrated enhanced cell migration and IL-6 secretion. This suggests that exosomes derived from KSHV-associated malignancies are functional and contain a distinct subset of miRNAs. These could represent candidate biomarkers of disease and may contribute to the paracrine phenotypes that are a characteristic of KS. (hide)
EV-METRIC
22% (49th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Cell culture supernatant
Sample origin
DNF
Focus vesicles
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
dUC + Filtration + IAF
Adj. k-factor
232.7 (pelleting) / 232.7 (washing)
Protein markers
EV: CD9
non-EV:
Proteomics
no
Show all info
Study aim
Function
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Between 100,000 g and 150,000 g
Pelleting: time(min)
70
Pelleting: rotor type
SW32
Pelleting: adjusted k-factor
232.7
Wash: volume per pellet (ml)
35
Wash: Rotor Type
SW32
Wash: adjusted k-factor
232.7
Filtration steps
0.22µm or 0.2µm
Characterization: Protein analysis
Western Blot
Detected EV-associated proteins
CD9
Characterization: Particle analysis
NA
EM
EM-type
transmission EM
Image type
Close-up
EV130086 4/5 Homo sapiens Blood plasma dUC
ExoQuick
Filtration
Chugh PE 2013 13%

Study summary

Full title
All authors
Chugh PE, Sin SH, Ozgur S, Henry DH, Menezes P, Griffith J, Eron JJ, Damania B, Dittmer DP
Journal
PLoS Pathog
Abstract
MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Rec (show more...)MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Recently, circulating miRNAs have been detected in various body fluids and within exosomes, prompting their evaluation as candidate biomarkers of diseases, especially cancer. Kaposi's sarcoma (KS) is the most common AIDS-associated cancer and remains prevalent despite Highly Active Anti-Retroviral Therapy (HAART). KS is caused by KS-associated herpesvirus (KSHV), a gamma herpesvirus also associated with Primary Effusion Lymphoma (PEL). We sought to determine the host and viral circulating miRNAs in plasma, pleural fluid or serum from patients with the KSHV-associated malignancies KS and PEL and from two mouse models of KS. Both KSHV-encoded miRNAs and host miRNAs, including members of the miR-17-92 cluster, were detectable within patient exosomes and circulating miRNA profiles from KSHV mouse models. Further characterization revealed a subset of miRNAs that seemed to be preferentially incorporated into exosomes. Gene ontology analysis of signature exosomal miRNA targets revealed several signaling pathways that are known to be important in KSHV pathogenesis. Functional analysis of endothelial cells exposed to patient-derived exosomes demonstrated enhanced cell migration and IL-6 secretion. This suggests that exosomes derived from KSHV-associated malignancies are functional and contain a distinct subset of miRNAs. These could represent candidate biomarkers of disease and may contribute to the paracrine phenotypes that are a characteristic of KS. (hide)
EV-METRIC
13% (39th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
DNF
Focus vesicles
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
dUC + ExoQuick + Filtration
Protein markers
EV: CD9/ Flotillin2
non-EV:
Proteomics
no
Show all info
Study aim
Function
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Filtration steps
0.22µm or 0.2µm
Commercial kit
ExoQuick
Characterization: Protein analysis
Western Blot
Detected EV-associated proteins
CD9/ Flotillin2
ELISA
Detected EV-associated proteins
Flotillin2
Characterization: Particle analysis
NA
EV130086 5/5 Mus musculus Serum dUC
ExoQuick
Filtration
Chugh PE 2013 13%

Study summary

Full title
All authors
Chugh PE, Sin SH, Ozgur S, Henry DH, Menezes P, Griffith J, Eron JJ, Damania B, Dittmer DP
Journal
PLoS Pathog
Abstract
MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Rec (show more...)MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Recently, circulating miRNAs have been detected in various body fluids and within exosomes, prompting their evaluation as candidate biomarkers of diseases, especially cancer. Kaposi's sarcoma (KS) is the most common AIDS-associated cancer and remains prevalent despite Highly Active Anti-Retroviral Therapy (HAART). KS is caused by KS-associated herpesvirus (KSHV), a gamma herpesvirus also associated with Primary Effusion Lymphoma (PEL). We sought to determine the host and viral circulating miRNAs in plasma, pleural fluid or serum from patients with the KSHV-associated malignancies KS and PEL and from two mouse models of KS. Both KSHV-encoded miRNAs and host miRNAs, including members of the miR-17-92 cluster, were detectable within patient exosomes and circulating miRNA profiles from KSHV mouse models. Further characterization revealed a subset of miRNAs that seemed to be preferentially incorporated into exosomes. Gene ontology analysis of signature exosomal miRNA targets revealed several signaling pathways that are known to be important in KSHV pathogenesis. Functional analysis of endothelial cells exposed to patient-derived exosomes demonstrated enhanced cell migration and IL-6 secretion. This suggests that exosomes derived from KSHV-associated malignancies are functional and contain a distinct subset of miRNAs. These could represent candidate biomarkers of disease and may contribute to the paracrine phenotypes that are a characteristic of KS. (hide)
EV-METRIC
13% (54th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Serum
Sample origin
DNF
Focus vesicles
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
dUC + ExoQuick + Filtration
Protein markers
EV: CD9/ Flotillin2
non-EV:
Proteomics
no
Show all info
Study aim
Function
Sample
Species
Mus musculus
Sample Type
Serum
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Filtration steps
0.22µm or 0.2µm
Commercial kit
ExoQuick
Characterization: Protein analysis
Western Blot
Detected EV-associated proteins
CD9/ Flotillin2
ELISA
Detected EV-associated proteins
Flotillin2
Characterization: Particle analysis
NA
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