bioRxiv preprint doi: https://doi.org/10.1101/384446; this version posted August 3, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Title Orthogonal linear separation analysis: an approach to decompose the complex effects of a perturbagen Tadahaya Mizuno (
[email protected])*, 1, Setsuo Kinoshita1, 2, Shotaro Maedera1, Takuya Ito1, and Hiroyuki Kusuhara (
[email protected])**, 1 1Graduate School of Pharmaceutical Sciences, the University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan 2ProMedico Co., Ltd., Ota-ku, Tokyo, 143-0023, Japan * Corresponding author: Tel: +81-3-5841-4771; E-mail:
[email protected] ** Corresponding author: Tel: +81-3-5841-4770; E-mail:
[email protected] Running Title: Orthogonal Linear Separation Analysis of Drug Effects Final Character Count: 70,336 characters Abbreviations: AhR, aryl hydrocarbon receptor; BEN, benzamil; BC, benzethonium chloride; BMDM, bone marrow derived macrophages; BSA, bovine serum albumin; CMap, connectivity map; DMEM, Dulbecco’s Modified Eagle’s Medium; FA, factor analysis; FBS, fetal bovine serum; GO, gene ontology; IQ, 2-amino-3-methylimidazo[4,5-f]quinolone; LINCS, library of integrated network-based cellular signatures; LPS, lipopolysaccharide; MET, metiothepin; MEX, metixene; MOA, mode of action; mTORC, mammalian target of rapamycin complex; OLSA, orthogonal linear separation analysis; PCA, principal component analysis; PP, phenazopyridine; SEGR, significant enrichment of GO ratio; TCDD, 2,3,7,8-tetrachlorodibenzo-p-dioxin; WB, western blotting 1 bioRxiv preprint doi: https://doi.org/10.1101/384446; this version posted August 3, 2018.