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You searched for: EV180071 (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 origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Details EV-TRACK ID Experiment nr. Species Sample type Separation protocol First author Year EV-METRIC
EV180071 1/3 Homo sapiens Blood plasma SEC
UF
Brahmer A 2019 63%

Study summary

Full title
All authors
Brahmer A, Neuberger E, Esch-Heisser L, Haller N, Jorgensen MM, Baek R, Möbius W, Simon P, Krämer-Albers EM.
Journal
J Extracell Vesicles
Abstract
Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physi (show more...)Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physical health. Recent work demonstrated that exercise triggers the release of extracellular vesicles (EVs) into the circulation, possibly contributing to exercise-associated adaptive systemic signalling. Circulating EVs comprise a heterogeneous collection of different EV-subclasses released from various cell types. So far, a comprehensive picture of the parental and target cell types, EV-subpopulation diversity and functional properties of EVs released during exercise (ExerVs) is lacking. Here, we performed a detailed EV-phenotyping analysis to explore the cellular origin and potential subtypes of ExerVs. Healthy male athletes were subjected to an incremental cycling test until exhaustion and blood was drawn before, during, and immediately after the test. Analysis of total blood plasma by EV Array suggested endothelial and leukocyte characteristics of ExerVs. We further purified ExerVs from plasma by size exclusion chromatography as well as CD9-, CD63- or CD81-immunobead isolation to examine ExerV-subclass dynamics. EV-marker analysis demonstrated increasing EV-levels during cycling exercise, with highest levels at peak exercise in all EV-subclasses analysed. Phenotyping of ExerVs using a multiplexed flow-cytometry platform revealed a pattern of cell surface markers associated with ExerVs and identified lymphocytes (CD4, CD8), monocytes (CD14), platelets (CD41, CD42, CD62P), endothelial cells (CD105, CD146) and antigen presenting cells (MHC-II) as ExerV-parental cells. We conclude that multiple cell types associated with the circulatory system contribute to a pool of heterogeneous ExerVs, which may be involved in exercise-related signalling mechanisms and tissue crosstalk. (hide)
EV-METRIC
63% (91st 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
Blood plasma
Sample origin
Control condition
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
SEC
UF
Protein markers
EV: TSG101/ CD31/ CD209/ CD326/ CD133/1/ CD8/ CD9/ CD49e/ CD81/ CD86/ Syntenin/ CD41b/ CD29/ CD63/ CD42a/ CD44/ CD20/ CD40/ Sarcoglycan-alpha/ CD24/ CD146/ CD69/ MHC2/ ROR1/ MHC1/ SSEA4/ CD105/ MCSP/ CD62p/ CD19/ CD142
non-EV: / ApoA1
Proteomics
no
Show all info
Study aim
Biogenesis/cargo sorting/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
Ultra filtration
Cut-off size (kDa)
30
Membrane type
Regenerated cellulose
Commercial kit
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
2
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
CD81/ CD9/ TSG101/ Syntenin/ CD41b/ CD63
Not detected EV-associated proteins
Sarcoglycan-alpha
Detected contaminants
ApoA1
Not detected contaminants
Detected EV-associated proteins
CD63/ CD9/ CD81/ CD8/ CD19/ CD20/ CD24/ CD29/ CD31/ CD40/ CD41b/ CD42a/ CD44/ CD49e/ CD62p/ CD69/ CD86/ CD105/ CD133/1/ CD142/ CD146/ CD209/ CD326/ MHC1/ MHC2/ MCSP/ ROR1/ SSEA4
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Mean
Reported size (nm)
106
EM
EM-type
Transmission-EM
Image type
Wide-field
EV180071 2/3 Homo sapiens Blood plasma SEC
UF
Brahmer A 2019 50%

Study summary

Full title
All authors
Brahmer A, Neuberger E, Esch-Heisser L, Haller N, Jorgensen MM, Baek R, Möbius W, Simon P, Krämer-Albers EM.
Journal
J Extracell Vesicles
Abstract
Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physi (show more...)Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physical health. Recent work demonstrated that exercise triggers the release of extracellular vesicles (EVs) into the circulation, possibly contributing to exercise-associated adaptive systemic signalling. Circulating EVs comprise a heterogeneous collection of different EV-subclasses released from various cell types. So far, a comprehensive picture of the parental and target cell types, EV-subpopulation diversity and functional properties of EVs released during exercise (ExerVs) is lacking. Here, we performed a detailed EV-phenotyping analysis to explore the cellular origin and potential subtypes of ExerVs. Healthy male athletes were subjected to an incremental cycling test until exhaustion and blood was drawn before, during, and immediately after the test. Analysis of total blood plasma by EV Array suggested endothelial and leukocyte characteristics of ExerVs. We further purified ExerVs from plasma by size exclusion chromatography as well as CD9-, CD63- or CD81-immunobead isolation to examine ExerV-subclass dynamics. EV-marker analysis demonstrated increasing EV-levels during cycling exercise, with highest levels at peak exercise in all EV-subclasses analysed. Phenotyping of ExerVs using a multiplexed flow-cytometry platform revealed a pattern of cell surface markers associated with ExerVs and identified lymphocytes (CD4, CD8), monocytes (CD14), platelets (CD41, CD42, CD62P), endothelial cells (CD105, CD146) and antigen presenting cells (MHC-II) as ExerV-parental cells. We conclude that multiple cell types associated with the circulatory system contribute to a pool of heterogeneous ExerVs, which may be involved in exercise-related signalling mechanisms and tissue crosstalk. (hide)
EV-METRIC
50% (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. 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
RQ 0.9 during exercise
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
SEC
UF
Protein markers
EV: TSG101/ CD31/ CD209/ CD326/ CD133/1/ CD8/ CD9/ CD49e/ CD81/ CD86/ Syntenin/ CD41b/ CD29/ CD63/ CD42a/ CD44/ CD20/ CD40/ Sarcoglycan-alpha/ CD24/ CD146/ CD69/ MHC2/ ROR1/ MHC1/ SSEA4/ CD105/ MCSP/ CD62p/ CD19/ CD142
non-EV: / ApoA1
Proteomics
no
Show all info
Study aim
Biogenesis/cargo sorting/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
Ultra filtration
Cut-off size (kDa)
30
Membrane type
Regenerated cellulose
Commercial kit
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
2
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
CD81/ TSG101/ CD9/ Syntenin/ CD41b/ CD63
Not detected EV-associated proteins
Sarcoglycan-alpha
Detected contaminants
ApoA1
Not detected contaminants
Detected EV-associated proteins
CD63/ CD9/ CD81/ CD8/ CD19/ CD20/ CD24/ CD29/ CD31/ CD40/ CD41b/ CD42a/ CD44/ CD49e/ CD62p/ CD69/ CD86/ CD105/ CD133/1/ CD142/ CD146/ CD209/ CD326/ MHC1/ MHC2/ MCSP/ ROR1/ SSEA4
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Not Reported
EV180071 3/3 Homo sapiens Blood plasma SEC
UF
Brahmer A 2019 50%

Study summary

Full title
All authors
Brahmer A, Neuberger E, Esch-Heisser L, Haller N, Jorgensen MM, Baek R, Möbius W, Simon P, Krämer-Albers EM.
Journal
J Extracell Vesicles
Abstract
Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physi (show more...)Physical activity initiates a wide range of multi-systemic adaptations that promote mental and physical health. Recent work demonstrated that exercise triggers the release of extracellular vesicles (EVs) into the circulation, possibly contributing to exercise-associated adaptive systemic signalling. Circulating EVs comprise a heterogeneous collection of different EV-subclasses released from various cell types. So far, a comprehensive picture of the parental and target cell types, EV-subpopulation diversity and functional properties of EVs released during exercise (ExerVs) is lacking. Here, we performed a detailed EV-phenotyping analysis to explore the cellular origin and potential subtypes of ExerVs. Healthy male athletes were subjected to an incremental cycling test until exhaustion and blood was drawn before, during, and immediately after the test. Analysis of total blood plasma by EV Array suggested endothelial and leukocyte characteristics of ExerVs. We further purified ExerVs from plasma by size exclusion chromatography as well as CD9-, CD63- or CD81-immunobead isolation to examine ExerV-subclass dynamics. EV-marker analysis demonstrated increasing EV-levels during cycling exercise, with highest levels at peak exercise in all EV-subclasses analysed. Phenotyping of ExerVs using a multiplexed flow-cytometry platform revealed a pattern of cell surface markers associated with ExerVs and identified lymphocytes (CD4, CD8), monocytes (CD14), platelets (CD41, CD42, CD62P), endothelial cells (CD105, CD146) and antigen presenting cells (MHC-II) as ExerV-parental cells. We conclude that multiple cell types associated with the circulatory system contribute to a pool of heterogeneous ExerVs, which may be involved in exercise-related signalling mechanisms and tissue crosstalk. (hide)
EV-METRIC
50% (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. 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
post exercise
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
SEC
UF
Protein markers
EV: TSG101/ CD31/ CD209/ CD326/ CD133/1/ CD8/ CD9/ CD49e/ CD81/ CD86/ Syntenin/ CD41b/ CD29/ CD63/ CD42a/ CD44/ CD20/ CD40/ Sarcoglycan-alpha/ CD24/ CD146/ CD69/ MHC2/ ROR1/ MHC1/ SSEA4/ CD105/ MCSP/ CD62p/ CD19/ CD142
non-EV: / ApoA1
Proteomics
no
Show all info
Study aim
Biogenesis/cargo sorting/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
Ultra filtration
Cut-off size (kDa)
30
Membrane type
Regenerated cellulose
Commercial kit
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
2
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
BCA
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
CD81/ TSG101/ CD9/ Syntenin/ CD41b/ CD63
Not detected EV-associated proteins
Sarcoglycan-alpha
Detected contaminants
ApoA1
Not detected contaminants
Detected EV-associated proteins
CD63/ CD9/ CD81/ CD8/ CD19/ CD20/ CD24/ CD29/ CD31/ CD40/ CD41b/ CD42a/ CD44/ CD49e/ CD62p/ CD69/ CD86/ CD105/ CD133/1/ CD142/ CD146/ CD209/ CD326/ MHC1/ MHC2/ MCSP/ ROR1/ SSEA4
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Not Reported
1 - 3 of 3
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV180071
species
Homo sapiens
sample type
Blood plasma
condition
Control condition
RQ
0.9 during exercise
post exercise
separation protocol
SEC
UF
SEC
UF
SEC
UF
Exp. nr.
1
2
3
EV-METRIC %
63
50
50