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You searched for: EV210318 (EV-TRACK ID)

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Results list Study Tree
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
EV210318 3/12 Homo sapiens Hs578T (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 25%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (hide)
EV-METRIC
25% (63rd 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
Total Exosome Isolation
Protein markers
EV: CD63/ actin
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Hs578T
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
Protein Concentration Method
Not determined
Western Blot
Detected EV-associated proteins
CD63/ actin
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 1/12 Homo sapiens MA11 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MA11
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 2/12 Homo sapiens MDAMB231 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MDAMB231
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 4/12 Homo sapiens Au565 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
Au565
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 5/12 Homo sapiens HCC1428 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
HCC1428
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 6/12 Homo sapiens MCF7 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
MCF7
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 7/12 Homo sapiens HCC1187 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
HCC1187
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 8/12 Homo sapiens DU4475 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
DU4475
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 9/12 Homo sapiens HCC1569 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
HCC1569
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 10/12 Homo sapiens DLD1 (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
DLD1
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 11/12 Homo sapiens HPAF-II (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
HPAF-II
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
EV210318 12/12 Homo sapiens LNCaP (d)(U)C
Total Exosome Isolation 		Fiskaa T 2016 0%

Study summary

Full title
Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.
All authors
Fiskaa T, Knutsen E, Nikolaisen MA, Jørgensen TE, Johansen SD, Perander M, Seternes OM
Journal
PLoS One
Abstract
Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cell (show more...)Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers. (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
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
Total Exosome Isolation
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker/Identification of content (omics approaches)
Sample
Species
Homo sapiens
Sample Type
Cell culture supernatant
EV-producing cells
LNCaP
EV-harvesting Medium
EV-depleted medium
Preparation of EDS
12h at 120,000g
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
Total Exosome Isolation
Other
Name other separation method
Total Exosome Isolation
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
(RT)-(q)PCR/ RNA -sequencing
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
DLS
Report type
Size range/distribution
1 - 12 of 12
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV210318
species
Homo
sapiens
sample type
Cell
culture
cell type
Hs578T
MA11
MDAMB231
Au565
HCC1428
MCF7
HCC1187
DU4475
HCC1569
DLD1
HPAF-II
LNCaP
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
Control
condition
separation protocol
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
dUC/
Total
Exosome
Isolation
Exp. nr.
3
1
2
4
5
6
7
8
9
10
11
12
EV-METRIC %
25
0
0
0
0
0
0
0
0
0
0
0