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Details	EV-TRACK ID	Experiment nr.	Species	Sample type	Separation protocol	First author	Year	EV-METRIC
	EV130049	1/1	Homo sapiens	Pleural effusion	(d)(U)C DG	Park JO	2013	38%
Study summary Full title Identification and characterization of proteins isolated from microvesicles derived from human lung cancer pleural effusions All authors Park JO, Choi DY, Choi DS, Kim HJ, Kang JW, Jung JH, Lee JH, Kim J, Freeman MR, Lee KY, Gho YS, Kim KP Journal Proteomics Abstract Microvesicles (MVs, also known as exosomes, ectosomes, microparticles) are released by various cance (show more...)Microvesicles (MVs, also known as exosomes, ectosomes, microparticles) are released by various cancer cells, including lung, colorectal, and prostate carcinoma cells. MVs released from tumor cells and other sources accumulate in the circulation and in pleural effusion. Although recent studies have shown that MVs play multiple roles in tumor progression, the potential pathological roles of MV in pleural effusion, and their protein composition, are still unknown. In this study, we report the first global proteomic analysis of highly purified MVs derived from human nonsmall cell lung cancer (NSCLC) pleural effusion. Using nano-LC-MS/MS following 1D SDS-PAGE separation, we identified a total of 912 MV proteins with high confidence. Three independent experiments on three patients showed that MV proteins from PE were distinct from MV obtained from other malignancies. Bioinformatics analyses of the MS data identified pathologically relevant proteins and potential diagnostic makers for NSCLC, including lung-enriched surface antigens and proteins related to epidermal growth factor receptor signaling. These findings provide new insight into the diverse functions of MVs in cancer progression and will aid in the development of novel diagnostic tools for NSCLC. (hide) EV-METRIC 38% (59th 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 Pleural effusion Sample origin NAY Focus vesicles microvesicles 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 (d)(U)C DG Protein markers EV: Ezrin/ Beta-actin/ HSP90/ CD63 non-EV: Proteomics yes EV density (g/ml) 1.100 Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Pleural effusion Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Pelleting performed No Density gradient Lowest density fraction 5 Highest density fraction 30 Orientation Bottom-up Characterization: Protein analysis Western Blot Detected EV-associated proteins CD63/ HSP90/ Beta-actin/ Ezrin ELISA Detected EV-associated proteins Beta-actin/ Ezrin Characterization: Particle analysis EM EM-type transmission EM Image type Wide-field

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EV-TRACK ID	EV130049
species	Homo sapiens
sample type	Pleural effusion
condition	NAY
separation protocol	(d)(U)C DG
Exp. nr.	1
EV-METRIC %	38