Literature DB >> 16415861

Microarray-based method for monitoring yeast overexpression strains reveals small-molecule targets in TOR pathway.

Rebecca A Butcher1, Bhupinder S Bhullar, Ethan O Perlstein, Gerald Marsischky, Joshua LaBaer, Stuart L Schreiber.   

Abstract

Identification of the cellular targets of small-molecule hits in phenotypic screens is a central challenge in the development of small molecules as biological tools and potential therapeutics. To facilitate the process of small-molecule target identification, we developed a global, microarray-based method for monitoring the growth of pools of yeast strains, each overexpressing a different protein, in the presence of small molecules. Specifically, the growth of Saccharomyces cerevisiae strains harboring approximately 3,900 different overexpression plasmids was monitored in the presence of rapamycin, which inhibits the target of rapamycin (TOR) proteins. TOR was successfully identified as a candidate rapamycin target, and many additional gene products were implicated in the TOR signaling pathway. We also characterized the mechanism of LY-83583, a small-molecule suppressor of rapamycin-induced growth inhibition. These data enabled functional links to be drawn between groups of genes implicated in the TOR pathway, identified several candidate targets for LY-83583, and suggested a role for mitochondrial respiration in mediating rapamycin sensitivity.

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Year:  2006        PMID: 16415861     DOI: 10.1038/nchembio762

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  39 in total

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Authors:  Sebastian M B Nijman
Journal:  Nat Chem Biol       Date:  2015-11-17       Impact factor: 15.040

2.  An array of Escherichia coli clones over-expressing essential proteins: a new strategy of identifying cellular targets of potent antibacterial compounds.

Authors:  H Howard Xu; Lilian Real; Melissa Wu Bailey
Journal:  Biochem Biophys Res Commun       Date:  2006-09-07       Impact factor: 3.575

3.  A whale of a library.

Authors:  Deming Xu; Terry Roemer
Journal:  Nat Biotechnol       Date:  2009-04       Impact factor: 54.908

4.  Target identification using drug affinity responsive target stability (DARTS).

Authors:  Brett Lomenick; Rui Hao; Nao Jonai; Randall M Chin; Mariam Aghajan; Sarah Warburton; Jianing Wang; Raymond P Wu; Fernando Gomez; Joseph A Loo; James A Wohlschlegel; Thomas M Vondriska; Jerry Pelletier; Harvey R Herschman; Jon Clardy; Catherine F Clarke; Jing Huang
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-07       Impact factor: 11.205

5.  Opposing effects of target overexpression reveal drug mechanisms.

Authors:  Adam C Palmer; Roy Kishony
Journal:  Nat Commun       Date:  2014-07-01       Impact factor: 14.919

6.  Predicting Phenotypic Diversity from Molecular and Genetic Data.

Authors:  Tom Harel; Naama Peshes-Yaloz; Eran Bacharach; Irit Gat-Viks
Journal:  Genetics       Date:  2019-07-27       Impact factor: 4.562

7.  Recovery from rapamycin: drug-insensitive activity of yeast target of rapamycin complex 1 (TORC1) supports residual proliferation that dilutes rapamycin among progeny cells.

Authors:  Stephanie K Evans; Karl E V Burgess; Joseph V Gray
Journal:  J Biol Chem       Date:  2014-08-07       Impact factor: 5.157

8.  tRNAHis 5-methylcytidine levels increase in response to several growth arrest conditions in Saccharomyces cerevisiae.

Authors:  Melanie A Preston; Sonia D'Silva; Yoshiko Kon; Eric M Phizicky
Journal:  RNA       Date:  2012-12-18       Impact factor: 4.942

9.  Reverse genetics in Candida albicans predicts ARF cycling is essential for drug resistance and virulence.

Authors:  Elias Epp; Ghyslaine Vanier; Doreen Harcus; Anna Y Lee; Gregor Jansen; Michael Hallett; Don C Sheppard; David Y Thomas; Carol A Munro; Alaka Mullick; Malcolm Whiteway
Journal:  PLoS Pathog       Date:  2010-02-05       Impact factor: 6.823

Review 10.  Yeast proteomics and protein microarrays.

Authors:  Rui Chen; Michael Snyder
Journal:  J Proteomics       Date:  2010-08-20       Impact factor: 4.044

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