Open AccessPredicting mechanism of action of cellular perturbations with pathway activity signatures
Author(s) -
Yan Ren,
Siva Sivaganesan,
Nicholas Clark,
Lixia Zhang,
Jacek Biesiada,
Wen Niu,
David R. Plas,
Mario Medvedovic
Publication year - 2020
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/btaa590
Subject(s) - signal transduction , computational biology , pathway analysis , crosstalk , mechanism (biology) , biology , systems biology , mechanism of action , gene , bioinformatics , computer science , microbiology and biotechnology , genetics , gene expression , physics , optics , in vitro , philosophy , epistemology
Misregulation of signaling pathway activity is etiologic for many human diseases, and modulating activity of signaling pathways is often the preferred therapeutic strategy. Understanding the mechanism of action (MOA) of bioactive chemicals in terms of targeted signaling pathways is the essential first step in evaluating their therapeutic potential. Changes in signaling pathway activity are often not reflected in changes in expression of pathway genes which makes MOA inferences from transcriptional signatures (TSeses) a difficult problem.