Literature DB >> 21896738

Modulatory profiling identifies mechanisms of small molecule-induced cell death.

Adam J Wolpaw1, Kenichi Shimada, Rachid Skouta, Matthew E Welsch, Uri David Akavia, Dana Pe'er, Fatima Shaik, J Chloe Bulinski, Brent R Stockwell.   

Abstract

Cell death is a complex process that plays a vital role in development, homeostasis, and disease. Our understanding of and ability to control cell death is impeded by an incomplete characterization of the full range of cell death processes that occur in mammalian systems, especially in response to exogenous perturbations. We present here a general approach to address this problem, which we call modulatory profiling. Modulatory profiles are composed of the changes in potency and efficacy of lethal compounds produced by a second cell death-modulating agent in human cell lines. We show that compounds with the same characterized mechanism of action have similar modulatory profiles. Furthermore, clustering of modulatory profiles revealed relationships not evident when clustering lethal compounds based on gene expression profiles alone. Finally, modulatory profiling of compounds correctly predicted three previously uncharacterized compounds to be microtubule-destabilizing agents, classified numerous compounds that act nonspecifically, and identified compounds that cause cell death through a mechanism that is morphologically and biochemically distinct from previously established ones.

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Year:  2011        PMID: 21896738      PMCID: PMC3182736          DOI: 10.1073/pnas.1106149108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  67 in total

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Authors:  J N Weinstein; T G Myers; P M O'Connor; S H Friend; A J Fornace; K W Kohn; T Fojo; S E Bates; L V Rubinstein; N L Anderson; J K Buolamwini; W W van Osdol; A P Monks; D A Scudiero; E A Sausville; D W Zaharevitz; B Bunow; V N Viswanadhan; G S Johnson; R E Wittes; K D Paull
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Review 6.  Iron and Cancer.

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9.  Connecting Small Molecules with Similar Assay Performance Profiles Leads to New Biological Hypotheses.

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Journal:  J Biomol Screen       Date:  2014-01-24

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