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

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 prol...

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Autores principales: Zhou, Joseph X., Isik, Zerrin, Xiao, Caide, Rubin, Irit, Kauffman, Stuart A., Schroeder, Michael, Huang, Sui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884928/
https://www.ncbi.nlm.nih.gov/pubmed/26871731
http://dx.doi.org/10.18632/oncotarget.7294
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author Zhou, Joseph X.
Isik, Zerrin
Xiao, Caide
Rubin, Irit
Kauffman, Stuart A.
Schroeder, Michael
Huang, Sui
author_facet Zhou, Joseph X.
Isik, Zerrin
Xiao, Caide
Rubin, Irit
Kauffman, Stuart A.
Schroeder, Michael
Huang, Sui
author_sort Zhou, Joseph X.
collection PubMed
description 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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spelling pubmed-48849282016-06-17 Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state Zhou, Joseph X. Isik, Zerrin Xiao, Caide Rubin, Irit Kauffman, Stuart A. Schroeder, Michael Huang, Sui Oncotarget Priority Research Paper 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. Impact Journals LLC 2016-02-09 /pmc/articles/PMC4884928/ /pubmed/26871731 http://dx.doi.org/10.18632/oncotarget.7294 Text en Copyright: © 2016 Zhou et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Priority Research Paper
Zhou, Joseph X.
Isik, Zerrin
Xiao, Caide
Rubin, Irit
Kauffman, Stuart A.
Schroeder, Michael
Huang, Sui
Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
title Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
title_full Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
title_fullStr Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
title_full_unstemmed Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
title_short Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
title_sort systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state
topic Priority Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884928/
https://www.ncbi.nlm.nih.gov/pubmed/26871731
http://dx.doi.org/10.18632/oncotarget.7294
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