Unknown

Dataset Information

Large-Scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines.


ABSTRACT: Perturbation biology is a powerful approach to modeling quantitative cellular behaviors and understanding detailed disease mechanisms. However, large-scale protein response resources of cancer cell lines to perturbations are not available, resulting in a critical knowledge gap. Here we generated and compiled perturbed expression profiles of ∼210 clinically relevant proteins in >12,000 cancer cell line samples in response to ∼170 drug compounds using reverse-phase protein arrays. We show that integrating perturbed protein response signals provides mechanistic insights into drug resistance, increases the predictive power for drug sensitivity, and helps identify effective drug combinations. We build a systematic map of "protein-drug" connectivity and develop a user-friendly data portal for co

SUBMITTER: Zhao W 

PROVIDER: S-EPMC7738392 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature