Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

Abstract

During a cell state transition, cells travel along trajectories in a gene expression state space. This dynamical systems framework complements the traditional concept of molecular pathways that drive cell phenotype switching. To expose the structure that hinders cancer cells from exiting robust proliferative state, we assessed the perturbation capacity of a drug library and identified 16 non-cytotoxic compounds that stimulate MCF7 breast cancer cells to exit from proliferative state to differentiated state. The transcriptome trajectories triggered by these drugs diverged, then converged. Chemical structures and drug targets of these compounds overlapped minimally. However, a network analysis of targeted pathways identified a core signaling pathway--indicating common stress-response and down-regulation of STAT1 before differentiation. This multi-trajectory analysis explores the cells' state transition with a multitude of perturbations in combination with traditional pathway analysis, leading to an encompassing picture of the dynamics of a therapeutically desired cell-state switching.

Details

OriginalspracheEnglisch
Seiten (von - bis)7415-25
Seitenumfang11
FachzeitschriftOncotarget
Jahrgang7
Ausgabenummer7
PublikationsstatusVeröffentlicht - 16 Feb. 2016
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC4884928
Scopus 84958818724
ORCID /0000-0003-2848-6949/work/141543373

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Antineoplastic Agents/pharmacology, Breast Neoplasms/drug therapy, Cell Differentiation/drug effects, Cell Proliferation/drug effects, Computational Biology/methods, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic/drug effects, Gene Regulatory Networks/drug effects, High-Throughput Screening Assays, Humans, Signal Transduction/drug effects, Tumor Cells, Cultured

Bibliotheksschlagworte