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Results list Most used separation protocols Top EV-enriched proteins

Details	EV-TRACK ID	Experiment nr.	Species	Sample type	separation protocol	First author	Year	EV-METRIC
	EV140109	1/1	Homo sapiens	Cell culture supernatant	DG UF Density cushion dUC	Choi DY	2014	25%
Study summary Full title Extracellular vesicles shed from gefitinib-resistant nonsmall cell lung cancer regulate the tumor microenvironment All authors Choi DY, You S, Jung JH, Lee JC, Rho JK, Lee KY, Freeman MR, Kim KP, Kim J Journal Proteomics Abstract Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs), including gefitinib, are (show more...)Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs), including gefitinib, are the first-line treatment of choice for nonsmall cell lung cancer patients who harbor activating EGFR mutations, however, acquired resistance to EGFR-TKIs is inevitable. The main objective of this study was to identify informative protein signatures of extracellular vesicles (EV) derived from gefitinib-resistant nonsmall cell lung cancer cells using proteomics analysis. Nano-LC-MS/MS analysis identified with high confidence (false discovery rate < 0.05, fold change ?2) 664 EV proteins enriched in PC9R cells, which are resistant to gefitinib due to EGFR T790M mutation. Computational analyses suggested components of several signal transduction mechanisms including the AKT (also PKB, protein kinase B)/mTOR (mechanistic target of rapamycin) pathway are overrepresented in EV from PC9R cells. Treatment of recipient cells with EV harvested from PC9R cells increased phosphorylation of signaling molecules, and enhanced proliferation, invasion, and drug resistance to gefitinib-induced apoptosis. Dose- and time-dependent pharmaceutical inhibition of AKT/mTOR pathway overcame drug resistance of PC9R cells and those of H1975 exhibiting EGFR T790M mutation. Our findings provide new insight into an oncogenic EV protein signature regulating tumor microenvironment, and will aid in the development of novel diagnostic strategies for prediction and assessment of gefitinib resistance. (hide) EV-METRIC 25% (56th percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Cell culture supernatant Sample origin DNF Focus vesicles extracellular vesicles Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = differential ultracentrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography DG + UF + Density cushion + dUC Protein markers EV: CD81/ CD63/ CD9 non-EV: Proteomics yes Show all info Study aim Function Sample Species Homo sapiens Sample Type Cell culture supernatant EV-harvesting Medium serum free Separation Method Differential ultracentrifugation dUC: centrifugation steps Below or equal to 800 g Between 800 g and 10,000 g Characterization: Protein analysis Western Blot Detected EV-associated proteins CD63/ CD81/ CD9 Characterization: Particle analysis EM EM-type transmission EM Image type Wide-field

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