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Predicting G protein-coupled receptor downstream signaling by tissue expression
Author(s) -
Yun Hao,
Nicholas P. Tatonetti
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw510
Subject(s) - g protein coupled receptor , computational biology , biology , signal transduction , function (biology) , downstream (manufacturing) , gene knockdown , receptor , microbiology and biotechnology , bioinformatics , cell culture , genetics , operations management , economics
G protein-coupled receptors (GPCRs) are central to how cells respond to their environment and a major class of pharmacological targets. However, comprehensive knowledge of which pathways are activated and deactivated by these essential sensors is largely unknown. To better understand the mechanism of GPCR signaling system, we integrated five independent genome-wide expression datasets, representing 275 human tissues and cell lines, with protein-protein interactions and functional pathway data.

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