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You searched for: EV210443 (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
EV210443 2/2 Homo sapiens CSF (d)(U)C
Filtration
Akers JC 2016 29%

Study summary

Full title
All authors
Akers JC, Ramakrishnan V, Nolan JP, Duggan E, Fu CC, Hochberg FH, Chen CC, Carter BS
Journal
PLoS One
Abstract
Extracellular vesicles (EVs) have emerged as a promising biomarker platform for glioblastoma patient (show more...)Extracellular vesicles (EVs) have emerged as a promising biomarker platform for glioblastoma patients. However, the optimal method for quantitative assessment of EVs in clinical bio-fluid remains a point of contention. Multiple high-resolution platforms for quantitative EV analysis have emerged, including methods grounded in diffraction measurement of Brownian motion (NTA), tunable resistive pulse sensing (TRPS), vesicle flow cytometry (VFC), and transmission electron microscopy (TEM). Here we compared quantitative EV assessment using cerebrospinal fluids derived from glioblastoma patients using these methods. For EVs <150 nm in diameter, NTA detected more EVs than TRPS in three of the four samples tested. VFC particle counts are consistently 2-3 fold lower than NTA and TRPS, suggesting contribution of protein aggregates or other non-lipid particles to particle count by these platforms. While TEM yield meaningful data in terms of the morphology, its particle count are consistently two orders of magnitude lower relative to counts generated by NTA and TRPS. For larger particles (>150 nm in diameter), NTA consistently detected lower number of EVs relative to TRPS. These results unveil the strength and pitfalls of each quantitative method alone for assessing EVs derived from clinical cerebrospinal fluids and suggest that thoughtful synthesis of multi-platform quantitation will be required to guide meaningful clinical investigations. (hide)
EV-METRIC
29% (60th 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
CSF
Sample origin
Glioblastoma
Focus vesicles
exosome
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
Filtration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
CSF
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Between 100,000 g and 150,000 g
Pelleting performed
Yes
Pelleting: rotor type
Type 70 Ti
Pelleting: speed (g)
120000
Filtration steps
> 0.45 µm,
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Not Reported
EV concentration
Yes
TRPS
Report type
Not Reported
EV concentration
Yes
Particle analysis: flow cytometry
Flow cytometer type
Custom build flow cytometer
Hardware adjustment
Stoner SA, Duggan E, Condello D, Guerrero A, Turk JR, Narayanan PK, et al. High sensitivity flow cytometry of membrane vesicles. Cytometry A. 2015. doi: 10.1002/cyto.a.22787 PMID: 26484737
Calibration bead size
0.12
Report type
Not Reported
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Wide-field
EV concentration
Yes
EV210443 1/2 Homo sapiens CSF (d)(U)C
Filtration
Akers JC 2016 14%

Study summary

Full title
All authors
Akers JC, Ramakrishnan V, Nolan JP, Duggan E, Fu CC, Hochberg FH, Chen CC, Carter BS
Journal
PLoS One
Abstract
Extracellular vesicles (EVs) have emerged as a promising biomarker platform for glioblastoma patient (show more...)Extracellular vesicles (EVs) have emerged as a promising biomarker platform for glioblastoma patients. However, the optimal method for quantitative assessment of EVs in clinical bio-fluid remains a point of contention. Multiple high-resolution platforms for quantitative EV analysis have emerged, including methods grounded in diffraction measurement of Brownian motion (NTA), tunable resistive pulse sensing (TRPS), vesicle flow cytometry (VFC), and transmission electron microscopy (TEM). Here we compared quantitative EV assessment using cerebrospinal fluids derived from glioblastoma patients using these methods. For EVs <150 nm in diameter, NTA detected more EVs than TRPS in three of the four samples tested. VFC particle counts are consistently 2-3 fold lower than NTA and TRPS, suggesting contribution of protein aggregates or other non-lipid particles to particle count by these platforms. While TEM yield meaningful data in terms of the morphology, its particle count are consistently two orders of magnitude lower relative to counts generated by NTA and TRPS. For larger particles (>150 nm in diameter), NTA consistently detected lower number of EVs relative to TRPS. These results unveil the strength and pitfalls of each quantitative method alone for assessing EVs derived from clinical cerebrospinal fluids and suggest that thoughtful synthesis of multi-platform quantitation will be required to guide meaningful clinical investigations. (hide)
EV-METRIC
14% (53rd 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
CSF
Sample origin
Glioblastoma
Focus vesicles
(shedding) microvesicle
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
Filtration
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Technical analysis comparing/optimizing EV-related methods
Sample
Species
Homo sapiens
Sample Type
CSF
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Between 800 g and 10,000 g
Between 10,000 g and 50,000 g
Between 100,000 g and 150,000 g
Pelleting performed
Yes
Pelleting: speed (g)
10000
Filtration steps
> 0.45 µm,
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Not Reported
EV concentration
Yes
TRPS
Report type
Not Reported
EV concentration
Yes
Particle analysis: flow cytometry
Flow cytometer type
Custom build flow cytometer
Hardware adjustment
Stoner SA, Duggan E, Condello D, Guerrero A, Turk JR, Narayanan PK, et al. High sensitivity flow cytometry of membrane vesicles. Cytometry A. 2015. doi: 10.1002/cyto.a.22787 PMID: 26484737
Calibration bead size
0.12
Report type
Not Reported
EV concentration
Yes
EM
EM-type
Transmission-EM
Image type
Wide-field
EV concentration
Yes
1 - 2 of 2
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV210443
species
Homo sapiens
sample type
CSF
condition
Glioblastoma
separation protocol
dUC/ Filtration
dUC/ Filtration
vesicle related term
exosome
(shedding)
microvesicle
Exp. nr.
2
1
EV-METRIC %
29
14