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Quantitative Extracellular Vesicle Proteomics by Multiplexed Data-Independent Acquisition

ABSTRACT: This study established an optimized dimethyl labeling-based multiplexed DIA (mDIA) pipeline for quantitative proteomics of extracellular vesicles (EVs). Benchmarking different library generation strategies and software suites demonstrated superior performance of mDIA using project-specific libraries generated from small-scale StageTip fractionation. This approach enabled robust profiling of low-abundance EV proteins and successfully revealed proteomic changes associated with IDH1 mutation and inhibitor treatment in intrahepatic cholangiocarcinoma (iCCA) cell-derived EVs.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: W. Andy Tao

PROVIDER: PXD063617 | JPOST Repository | Mon May 05 00:00:00 BST 2025

REPOSITORIES: jPOST

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			Action	DRS
	Application_CCLP_RBE_AG120_Cell_multiplexed_DIA.zip	Other
	Application_CCLP_RBE_AG120_Cell_multiplexed_Spectral_Library_DDA.zip	Other
	Application_CCLP_RBE_AG120_EV_multiplexed_DIA.zip	Other
	Application_CCLP_RBE_AG120_EV_multiplexed_Spectral_Library_DDA.zip	Other
	Application_DimethylDIA_CCLP_RBE_AG120_Cell_multiplexed_Spectral_Library_DDA_8Fractions_Spectronaut19.tsv	Tabular

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