Article ID Journal Published Year Pages File Type
8507854 Acta Pharmaceutica Sinica B 2018 9 Pages PDF
Abstract
Comparative untargeted proteomics analysis was conducted to identify and quantify membrane proteins in tumor cell lines through database searching with MaxQuant software. The identified proteins were annotated by gene ontology (GO) and assigned into four distinct subcellular categories. The proteomics analysis demonstrated significant variations among the tumor cell lines and lead to a greater appreciation for the role of membrane proteins in tumor development and drug resistance, and present targets of choice as tumor marker proteins.179
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