Literature DB >> 15469827

Hot spots for modulating toxicity identified by genomic phenotyping and localization mapping.

Thomas J Begley1, Ari S Rosenbach, Trey Ideker, Leona D Samson.   

Abstract

DNA repair and checkpoint pathways protect against carcinogen-induced toxicity. Here, we describe additional, equally protective pathways discovered by interrogating 4,733 yeast proteins for their ability to diminish toxicity induced by four known carcinogens. A computational mapping strategy for global phenotypic data was developed to build a systems toxicology model detailing recovery from carcinogen exposure and identifying protein complexes that modulate toxicity. Global phenotypic data were merged with global subcellular localization and protein interactome data to generate an integrated picture of cellular recovery after carcinogen exposure. Statistically validated results from this systems-wide integration demonstrate that, in addition to the nucleus, subnetworks of toxicity-modulating proteins were overrepresented in the vacuolar membrane, endosome, endoplasmic reticulum, and mitochondrion. In addition, we show that many proteins associated with RNA polymerase II, macromolecular trafficking, and vacuole function can now be counted among the many proteins that modulate carcinogen-induced toxicity.

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Year:  2004        PMID: 15469827     DOI: 10.1016/j.molcel.2004.09.005

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  55 in total

1.  Cross-species Functionome analysis identifies proteins associated with DNA repair, translation and aerobic respiration as conserved modulators of UV-toxicity.

Authors:  John P Rooney; Ashish Patil; Fraulin Joseph; Lauren Endres; Ulrike Begley; Maria R Zappala; Richard P Cunningham; Thomas J Begley
Journal:  Genomics       Date:  2010-12-30       Impact factor: 5.736

Review 2.  Protein damage by reactive electrophiles: targets and consequences.

Authors:  Daniel C Liebler
Journal:  Chem Res Toxicol       Date:  2007-12-04       Impact factor: 3.739

3.  A systems approach to delineate functions of paralogous transcription factors: role of the Yap family in the DNA damage response.

Authors:  Kai Tan; Hoda Feizi; Colin Luo; Stephanie H Fan; Timothy Ravasi; Trey G Ideker
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-19       Impact factor: 11.205

4.  Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.

Authors:  Shao-Shan Carol Huang; Ernest Fraenkel
Journal:  Sci Signal       Date:  2009-07-28       Impact factor: 8.192

5.  Genomic predictors of interindividual differences in response to DNA damaging agents.

Authors:  Rebecca C Fry; J Peter Svensson; Chandni Valiathan; Emma Wang; Brad J Hogan; Sanchita Bhattacharya; James M Bugni; Charles A Whittaker; Leona D Samson
Journal:  Genes Dev       Date:  2008-09-19       Impact factor: 11.361

Review 6.  Kinases that control the cell cycle in response to DNA damage: Chk1, Chk2, and MK2.

Authors:  H Christian Reinhardt; Michael B Yaffe
Journal:  Curr Opin Cell Biol       Date:  2009-02-21       Impact factor: 8.382

Review 7.  Integrative approaches for finding modular structure in biological networks.

Authors:  Koyel Mitra; Anne-Ruxandra Carvunis; Sanath Kumar Ramesh; Trey Ideker
Journal:  Nat Rev Genet       Date:  2013-10       Impact factor: 53.242

8.  Mass spectrometry-based quantification of the cellular response to methyl methanesulfonate treatment in human cells.

Authors:  Aaron Aslanian; John R Yates; Tony Hunter
Journal:  DNA Repair (Amst)       Date:  2014-01-22

9.  Systems based mapping demonstrates that recovery from alkylation damage requires DNA repair, RNA processing, and translation associated networks.

Authors:  John P Rooney; Ajish D George; Ashish Patil; Ulrike Begley; Erin Bessette; Maria R Zappala; Xin Huang; Douglas S Conklin; Richard P Cunningham; Thomas J Begley
Journal:  Genomics       Date:  2008-10-16       Impact factor: 5.736

10.  A genome-wide deletion mutant screen identifies pathways affected by nickel sulfate in Saccharomyces cerevisiae.

Authors:  Adriana Arita; Xue Zhou; Thomas P Ellen; Xin Liu; Jingxiang Bai; John P Rooney; Adrienne Kurtz; Catherine B Klein; Wei Dai; Thomas J Begley; Max Costa
Journal:  BMC Genomics       Date:  2009-11-15       Impact factor: 3.969

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