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


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.

SUBMITTER: Zhou JX 

PROVIDER: S-EPMC4884928 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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

Zhou Joseph X JX   Isik Zerrin Z   Xiao Caide C   Rubin Irit I   Kauffman Stuart A SA   Schroeder Michael M   Huang Sui S  

Oncotarget 20160201 7


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 different  ...[more]

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