Search > Results

You searched for: EV200010 (EV-TRACK ID)

Showing 1 - 4 of 4

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
Details EV-TRACK ID Experiment nr. Species Sample type separation protocol First author Year EV-METRIC
EV200010 4/4 Homo sapiens Blood plasma DG
(d)(U)C
SEC
Kuypers, Sören 2021 100%

Study summary

Full title
All authors
Sören Kuypers, Nick Smisdom, Isabel Pintelon, Jean-Pierre Timmermans, Marcel Ameloot, Luc Michiels, Jelle Hendrix, Baharak Hosseinkhani
Journal
Small
Abstract
Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell (show more...)Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell communication. The phenotypic profile of EV populations is a promising reporter of disease, with direct clinical diagnostic relevance. Yet, robust methods for quantifying the biomarker content of EV have been critically lacking, and require a single-particle approach due to their inherent heterogeneous nature. Here, multicolor single-molecule burst analysis microscopy is used to detect multiple biomarkers present on single EV. The authors classify the recorded signals and apply the machine learning-based t-distributed stochastic neighbor embedding algorithm to cluster the resulting multidimensional data. As a proof of principle, the authors use the method to assess both the purity and the inflammatory status of EV, and compare cell culture and plasma-derived EV isolated via different purification methods. This methodology is then applied to identify intercellular adhesion molecule-1 specific EV subgroups released by inflamed endothelial cells, and to prove that apolipoprotein-a1 is an excellent marker to identify the typical lipoprotein contamination in plasma. This methodology can be widely applied on standard confocal microscopes, thereby allowing both standardized quality assessment of patient plasma EV preparations, and diagnostic profiling of multiple EV biomarkers in health and disease. (hide)
EV-METRIC
100% (99th 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
Control condition
Focus vesicles
extracellular vesicle
Separation protocol
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
DG
(d)(U)C
SEC
Protein markers
EV: ICAM/ CD63/ CD9/ ANXA2
non-EV: APOA1
Proteomics
no
EV density (g/ml)
1.1
Show all info
Study aim
New methodological development/Biomarker/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Sample Condition
Control condition
Separation Method
Differential ultracentrifugation
centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Density gradient
Only used for validation of main results
Yes
Density medium
Iodixanol
Type
Discontinuous
Number of initial discontinuous layers
4
Lowest density fraction
5%
Highest density fraction
40%
Total gradient volume, incl. sample (mL)
16.5
Sample volume (mL)
1
Orientation
Top-down
Rotor type
SW 28.1
Speed (g)
100000
Duration (min)
1451
Fraction volume (mL)
1
Fraction processing
Size-exclusion chromatography
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
1-6
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Detected EV-associated proteins
CD9/ ANXA2
Not detected contaminants
APOA1
Detected EV-associated proteins
CD9/ CD63/ ICAM
Not detected contaminants
APOA1
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100-200
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Close-up, Wide-field
Report size (nm)
100-200
EV200010 1/4 Homo sapiens Cell culture supernatant (d)(U)C
SEC
UF
Kuypers, Sören 2021 75%

Study summary

Full title
All authors
Sören Kuypers, Nick Smisdom, Isabel Pintelon, Jean-Pierre Timmermans, Marcel Ameloot, Luc Michiels, Jelle Hendrix, Baharak Hosseinkhani
Journal
Small
Abstract
Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell (show more...)Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell communication. The phenotypic profile of EV populations is a promising reporter of disease, with direct clinical diagnostic relevance. Yet, robust methods for quantifying the biomarker content of EV have been critically lacking, and require a single-particle approach due to their inherent heterogeneous nature. Here, multicolor single-molecule burst analysis microscopy is used to detect multiple biomarkers present on single EV. The authors classify the recorded signals and apply the machine learning-based t-distributed stochastic neighbor embedding algorithm to cluster the resulting multidimensional data. As a proof of principle, the authors use the method to assess both the purity and the inflammatory status of EV, and compare cell culture and plasma-derived EV isolated via different purification methods. This methodology is then applied to identify intercellular adhesion molecule-1 specific EV subgroups released by inflamed endothelial cells, and to prove that apolipoprotein-a1 is an excellent marker to identify the typical lipoprotein contamination in plasma. This methodology can be widely applied on standard confocal microscopes, thereby allowing both standardized quality assessment of patient plasma EV preparations, and diagnostic profiling of multiple EV biomarkers in health and disease. (hide)
EV-METRIC
75% (94th 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
Cell Name
HUVEC
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.
    • (d)(U)C = (differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
SEC
UF
Protein markers
EV: ANXA2/ CD81/ CD9
non-EV: GM130
Proteomics
no
Show all info
Study aim
New methodological development/Biomarker/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
Control condition
EV-producing cells
HUVEC
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
Commercial EDS
Cell viability
Yes
Cell viability (%)
Yes
Cell number specification
Yes
Separation Method
Differential ultracentrifugation
centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Ultra filtration
Cut-off size (kDa)
10
Membrane type
Regenerated cellulose
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
1.5
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Detected EV-associated proteins
ANXA2/ CD81/ CD9
Not detected contaminants
GM130
Detected EV-associated proteins
CD9/ CD63/ ICAM1
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100-200
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Close-up, Wide-field
Report size (nm)
100-200
EV200010 2/4 Homo sapiens Cell culture supernatant (d)(U)C
SEC
UF
Kuypers, Sören 2021 75%

Study summary

Full title
All authors
Sören Kuypers, Nick Smisdom, Isabel Pintelon, Jean-Pierre Timmermans, Marcel Ameloot, Luc Michiels, Jelle Hendrix, Baharak Hosseinkhani
Journal
Small
Abstract
Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell (show more...)Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell communication. The phenotypic profile of EV populations is a promising reporter of disease, with direct clinical diagnostic relevance. Yet, robust methods for quantifying the biomarker content of EV have been critically lacking, and require a single-particle approach due to their inherent heterogeneous nature. Here, multicolor single-molecule burst analysis microscopy is used to detect multiple biomarkers present on single EV. The authors classify the recorded signals and apply the machine learning-based t-distributed stochastic neighbor embedding algorithm to cluster the resulting multidimensional data. As a proof of principle, the authors use the method to assess both the purity and the inflammatory status of EV, and compare cell culture and plasma-derived EV isolated via different purification methods. This methodology is then applied to identify intercellular adhesion molecule-1 specific EV subgroups released by inflamed endothelial cells, and to prove that apolipoprotein-a1 is an excellent marker to identify the typical lipoprotein contamination in plasma. This methodology can be widely applied on standard confocal microscopes, thereby allowing both standardized quality assessment of patient plasma EV preparations, and diagnostic profiling of multiple EV biomarkers in health and disease. (hide)
EV-METRIC
75% (94th 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
Cell Name
HUVEC
Sample origin
TNFalpha
Focus vesicles
extracellular vesicle
Separation protocol
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
(d)(U)C
SEC
UF
Protein markers
EV: ANXA2/ CD81/ CD9
non-EV: GM130
Proteomics
no
Show all info
Study aim
New methodological development/Biomarker/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
TNFalpha
EV-producing cells
HUVEC
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
Commercial EDS
Cell viability
Yes
Cell viability (%)
Yes
Cell number specification
Yes
Separation Method
Differential ultracentrifugation
centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Ultra filtration
Cut-off size (kDa)
10
Membrane type
Regenerated cellulose
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
1.5
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Detected EV-associated proteins
ANXA2/ CD81/ CD9
Not detected contaminants
GM130
Detected EV-associated proteins
CD9/ CD63/ ICAM1
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100-200
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Close-up, Wide-field
Report size (nm)
100-200
EV200010 3/4 Homo sapiens Cell culture supernatant (d)(U)C
SEC
UF
Kuypers, Sören 2021 75%

Study summary

Full title
All authors
Sören Kuypers, Nick Smisdom, Isabel Pintelon, Jean-Pierre Timmermans, Marcel Ameloot, Luc Michiels, Jelle Hendrix, Baharak Hosseinkhani
Journal
Small
Abstract
Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell (show more...)Extracellular vesicles (EV) are biological nanoparticles that play an important role in cell-to-cell communication. The phenotypic profile of EV populations is a promising reporter of disease, with direct clinical diagnostic relevance. Yet, robust methods for quantifying the biomarker content of EV have been critically lacking, and require a single-particle approach due to their inherent heterogeneous nature. Here, multicolor single-molecule burst analysis microscopy is used to detect multiple biomarkers present on single EV. The authors classify the recorded signals and apply the machine learning-based t-distributed stochastic neighbor embedding algorithm to cluster the resulting multidimensional data. As a proof of principle, the authors use the method to assess both the purity and the inflammatory status of EV, and compare cell culture and plasma-derived EV isolated via different purification methods. This methodology is then applied to identify intercellular adhesion molecule-1 specific EV subgroups released by inflamed endothelial cells, and to prove that apolipoprotein-a1 is an excellent marker to identify the typical lipoprotein contamination in plasma. This methodology can be widely applied on standard confocal microscopes, thereby allowing both standardized quality assessment of patient plasma EV preparations, and diagnostic profiling of multiple EV biomarkers in health and disease. (hide)
EV-METRIC
75% (94th 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
Cell Name
HUVEC
Sample origin
IL1beta
Focus vesicles
extracellular vesicle
Separation protocol
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
(d)(U)C
SEC
UF
Protein markers
EV: ANXA2/ CD81/ CD9
non-EV: GM130
Proteomics
no
Show all info
Study aim
New methodological development/Biomarker/Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
Sample Condition
IL1beta
EV-producing cells
HUVEC
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
Commercial EDS
Cell viability
Yes
Cell viability (%)
Yes
Cell number specification
Yes
Separation Method
Differential ultracentrifugation
centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Ultra filtration
Cut-off size (kDa)
10
Membrane type
Regenerated cellulose
Size-exclusion chromatography
Total column volume (mL)
10
Sample volume/column (mL)
1.5
Resin type
Sepharose CL-2B
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Detected EV-associated proteins
ANXA2/ CD81/ CD9
Not detected contaminants
GM130
Detected EV-associated proteins
CD9/ CD63/ ICAM1
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100-200
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Close-up, Wide-field
Report size (nm)
100-200
1 - 4 of 4
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV200010
species
Homo sapiens
sample type
Blood plasma
Cell culture
Cell culture
Cell culture
cell type
NA
HUVEC
HUVEC
HUVEC
medium
NA
EV-depleted medium
EV-depleted medium
EV-depleted medium
condition
Control condition
Control condition
TNFalpha
IL1beta
separation protocol
DG
(d)(U)C
SEC
(d)(U)C
SEC
UF
(d)(U)C
SEC
UF
(d)(U)C
SEC
UF
Exp. nr.
4
1
2
3
EV-METRIC %
100
75
75
75