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You searched for: EV210281 (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
Details EV-TRACK ID Experiment nr. Species Sample type Separation protocol First author Year EV-METRIC
EV210281 3/16 Homo sapiens MDAMB231 (d)(U)C
UF
qEV
Immunoaffinity capture
Grisard, Eleonora 2021 75%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
75% (96th 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
Cell culture supernatant
Sample origin
DMSO treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Immunoaffinity capture
Protein markers
EV: CD9/ CD63/ CD81/ syntenin/ CD98
non-EV: Gapdh
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231
EV-harvesting Medium
Serum free medium
Cell viability (%)
80
Cell count
27000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Immunoaffinity capture
Selected surface protein(s)
CD9/ CD63
Other
Name other separation method
qEV
Other
Name other separation method
Immunoaffinity capture
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
CD9/ CD63/ CD81/ syntenin/ CD98
Detected contaminants
Gapdh
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100
EV concentration
Yes
Particle yield
number of particles per million cells: 5.00e+9
EM
EM-type
Transmission-EM
Image type
Wide-field
Report size (nm)
125
EV210281 4/16 Homo sapiens MDAMB231 (d)(U)C
UF
qEV
Immunoaffinity capture
Grisard, Eleonora 2021 75%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
75% (96th 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
Cell culture supernatant
Sample origin
Homosalate treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Immunoaffinity capture
Protein markers
EV: CD9/ CD63/ CD81/ syntenin/ CD98
non-EV: Gapdh
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231
EV-harvesting Medium
Serum free medium
Cell viability (%)
80
Cell count
27000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Immunoaffinity capture
Selected surface protein(s)
CD9/ CD63
Other
Name other separation method
qEV
Other
Name other separation method
Immunoaffinity capture
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
CD9/ CD63/ CD81/ syntenin/ CD98
Detected contaminants
Gapdh
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100
EV concentration
Yes
Particle yield
number of particles per million cells: 5.00e+9
EM
EM-type
Transmission-EM
Image type
Wide-field
Report size (nm)
125
EV210281 1/16 Homo sapiens MDAMB231 Nanoluc-CD63 (d)(U)C
UF
qEV
Grisard, Eleonora 2021 50%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
50% (87th 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
Cell culture supernatant
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Protein markers
EV: CD9/ CD63/ syntenin/ CD98/ 14-3-3
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231 Nanoluc-CD63
EV-harvesting Medium
Serum free medium
Cell count
70000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
BCA
Protein Yield (µg)
measured in all qEV fractions F7-24 peaked at around 300ug in F21
Western Blot
Detected EV-associated proteins
CD9/ CD63/ syntenin/ CD98
Not detected EV-associated proteins
14-3-3
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 2.00e+9
EM
EM-type
Transmission-EM
Image type
Wide-field
Report size (nm)
125
EV210281 2/16 Homo sapiens MDAMB231 Nluc-CD9 (d)(U)C
UF
qEV
Grisard, Eleonora 2021 50%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
50% (87th 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
Cell culture supernatant
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Protein markers
EV: CD9/ CD63/ syntenin/ CD98/ 14-3-3
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231 Nluc-CD9
EV-harvesting Medium
Serum free medium
Cell count
70000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
Not determined
Protein Yield (µg)
measured in all qEV fractions F7-24 peaked at around 300ug in F19-21
Western Blot
Detected EV-associated proteins
CD9/ CD63/ syntenin/ CD98
Not detected EV-associated proteins
14-3-3
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 2.00e+9
EM
EM-type
Transmission-EM
Image type
Wide-field
Report size (nm)
125
EV210281 5/16 Homo sapiens MDAMB231 (d)(U)C
UF
qEV
Grisard, Eleonora 2021 38%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
38% (79th 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
Cell culture supernatant
Sample origin
DMSO treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Protein markers
EV: CD9/ CD63/ CD81/ Lamp1/ syntenin/ CD98
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231
EV-harvesting Medium
Serum free medium
Cell viability (%)
80
Cell count
27000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
CD9/ CD63/ CD81/ Lamp1/ syntenin/ CD98
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100
EV concentration
Yes
Particle yield
number of particles per million cells: 5.00e+9
EV210281 6/16 Homo sapiens MDAMB231 (d)(U)C
UF
qEV
Grisard, Eleonora 2021 38%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
38% (79th 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
Cell culture supernatant
Sample origin
Homosalate treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Protein markers
EV: CD9/ CD63/ CD81/ Lamp1/ syntenin/ CD98
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231
EV-harvesting Medium
Serum free medium
Cell viability (%)
80
Cell count
27000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
CD9/ CD63/ CD81/ Lamp1/ syntenin/ CD98
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100
EV concentration
Yes
Particle yield
number of particles per million cells: 3.00e+9
EV210281 7/16 Homo sapiens MDAMB231 (d)(U)C
UF
qEV
Grisard, Eleonora 2021 38%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (hide)
EV-METRIC
38% (79th 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
Cell culture supernatant
Sample origin
BafilomycinA1 treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
qEV
Protein markers
EV: CD9/ CD63/ CD81/ Lamp1/ syntenin/ CD98
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231
EV-harvesting Medium
Serum free medium
Cell viability (%)
80
Cell count
27000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Commercial kit
qEV
Other
Name other separation method
qEV
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
CD9/ CD63/ CD81/ Lamp1/ syntenin/ CD98
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Size range/distribution
Reported size (nm)
100
EV concentration
Yes
Particle yield
number of particles per million cells: 5.00e+9
EV210281 8/16 Homo sapiens MCF7 (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
DMSO treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MCF7
EV-harvesting Medium
Serum free medium
Cell viability (%)
95
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+7
EV210281 9/16 Homo sapiens MCF7 (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
Homosalate treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MCF7
EV-harvesting Medium
Serum free medium
Cell viability (%)
95
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+8
EV210281 10/16 Homo sapiens MCF7 (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
BafilomycinA1 treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MCF7
EV-harvesting Medium
Serum free medium
Cell viability (%)
95
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+8
EV210281 11/16 Homo sapiens Hela (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
DMSO treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Hela
EV-harvesting Medium
Serum free medium
Cell viability (%)
93
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
BCA
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+7
EV210281 12/16 Homo sapiens Hela (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
Homosalate treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Hela
EV-harvesting Medium
Serum free medium
Cell viability (%)
93
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+8
EV210281 13/16 Homo sapiens Hela (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
BafilomycinA1 treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Hela
EV-harvesting Medium
Serum free medium
Cell viability (%)
93
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+8
EV210281 14/16 Homo sapiens Jurkat (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
DMSO treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Jurkat
EV-harvesting Medium
Serum free medium
Cell viability (%)
92
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+7
EV210281 15/16 Homo sapiens Jurkat (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
Homosalate treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Jurkat
EV-harvesting Medium
Serum free medium
Cell viability (%)
92
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+8
EV210281 16/16 Homo sapiens Jurkat (d)(U)C
UF
Grisard, Eleonora 2021 0%

Study summary

Full title
All authors
Eleonora Grisard, Aurianne Lescure, Nathalie Nevo, Maxime Corbé, Mabel Jouve, Gregory Lavieu, Alain Joliot, Elaine Del Nery, Lorena Martin-Jaular, Clotilde Théry
Journal
bioRxiv
Abstract
Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular (show more...)Eukaryotic cells, including cancer cells, secrete highly heterogeneous populations of extracellular vesicles (EVs). EVs could have different subcellular origin, composition and functional properties, but tools to distinguish between EV subtypes are scarce. Here, we tagged CD63-or CD9-positive EVs secreted by triple negative breast cancer cells with Nanoluciferase enzyme, to set-up a miniaturized method to quantify secretion of these two EV subtypes directly in the supernatant of cells. We performed a cell-based high-content screening to identify clinically-approved drugs able to affect EV secretion. One of the identified hits is Homosalate, an anti-inflammatory drug found in sunscreens which robustly increased EVs’release. Comparing EVs induced by Homosalate with those induced by Bafilomycin A1, we discovered that: 1) the two drugs act on EVs generated indistinct subcellular compartmentsand 2) EVs released upon treatment with Homosalate, but not with Bafilomycin A1, conferred anti-anoikis properties to another recipient tumor cell line. In conclusion, we identified a new drug modifying EV release and demonstrated that under influence of different drugs, triple negative breast cancer cells release EV subpopulations from different subcellular origins harboring distinct functional properties. (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. 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
Cell culture supernatant
Sample origin
BafilomycinA1 treated
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
(Differential) (ultra)centrifugation
Ultrafiltration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Function/Biogenesis/cargo sorting
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Jurkat
EV-harvesting Medium
Serum free medium
Cell viability (%)
92
Cell count
3000000
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Ultra filtration
Cut-off size (kDa)
10 kDa
Membrane type
PES
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
EV concentration
Yes
Particle yield
number of particles per million cells: 1.00e+8
1 - 16 of 16
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV210281
species
Homo
sapiens
sample type
Cell
culture
cell type
MDAMB231
MDAMB231
MDAMB231
Nanoluc-CD63
MDAMB231
Nluc-CD9
MDAMB231
MDAMB231
MDAMB231
MCF7
MCF7
MCF7
Hela
Hela
Hela
Jurkat
Jurkat
Jurkat
condition
DMSO
treated
Homosalate
treated
Control
condition
Control
condition
DMSO
treated
Homosalate
treated
BafilomycinA1
treated
DMSO
treated
Homosalate
treated
BafilomycinA1
treated
DMSO
treated
Homosalate
treated
BafilomycinA1
treated
DMSO
treated
Homosalate
treated
BafilomycinA1
treated
separation protocol
dUC/
Ultrafiltration/
qEV/
IAF
capture
dUC/
Ultrafiltration/
qEV/
IAF
capture
dUC/
Ultrafiltration/
qEV
dUC/
Ultrafiltration/
qEV
dUC/
Ultrafiltration/
qEV
dUC/
Ultrafiltration/
qEV
dUC/
Ultrafiltration/
qEV
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
dUC/
Ultrafiltration
Exp. nr.
3
4
1
2
5
6
7
8
9
10
11
12
13
14
15
16
EV-METRIC %
75
75
50
50
38
38
38
0
0
0
0
0
0
0
0
0