Large-Scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines.
Cancer Cell
; 38(6): 829-843.e4, 2020 12 14.
Article
em En
| MEDLINE
| ID: mdl-33157050
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 â¼210 clinically relevant proteins in >12,000 cancer cell line samples in response to â¼170 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 community use. Our study provides a rich resource to investigate the behaviors of cancer cells and the dependencies of treatment responses, thereby enabling a broad range of biomedical applications.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Proteômica
/
Mapas de Interação de Proteínas
/
Neoplasias
/
Antineoplásicos
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Cancer Cell
Ano de publicação:
2020
Tipo de documento:
Article