Oncotarget

Priority Research Papers:

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

Joseph X. Zhou, Zerrin Isik, Caide Xiao, Irit Rubin, Stuart A. Kauffman, Michael Schroeder and Sui Huang _

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Oncotarget. 2016; 7:7415-7425. https://doi.org/10.18632/oncotarget.7294

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Abstract

Joseph X. Zhou1,3,*, Zerrin Isik2,4,*, Caide Xiao3, Irit Rubin1, Stuart A. Kauffman1,3, Michael Schroeder4 and Sui Huang1,3

1 Institute for Systems Biology, Seattle WA, USA

2 Computer Engineering Department, Dokuz Eylul University, Izmir, Turkey

3 Institute for Biocomplexity and Informatics, University of Calgary, Alberta, Canada

4 Biotechnology Center, TU Dresden, Dresden, Germany

* These authors have contributed equally to this work

Correspondence to:

Sui Huang, email:

Keywords: cancer drug screen, cancer cell differentiation, dynamical system, cell state transition, gene regulatory network

Received: October 16, 2015 Accepted: January 24, 2016 Published: February 09, 2016

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.


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