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      Pathway connectivity and signaling coordination in the yeast stress-activated signaling network

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          Abstract

          Stressed cells coordinate a multi-faceted response spanning many levels of physiology. Yet knowledge of the complete stress-activated regulatory network as well as design principles for signal integration remains incomplete. We developed an experimental and computational approach to integrate available protein interaction data with gene fitness contributions, mutant transcriptome profiles, and phospho-proteome changes in cells responding to salt stress, to infer the salt-responsive signaling network in yeast. The inferred subnetwork presented many novel predictions by implicating new regulators, uncovering unrecognized crosstalk between known pathways, and pointing to previously unknown ‘hubs’ of signal integration. We exploited these predictions to show that Cdc14 phosphatase is a central hub in the network and that modification of RNA polymerase II coordinates induction of stress-defense genes with reduction of growth-related transcripts. We find that the orthologous human network is enriched for cancer-causing genes, underscoring the importance of the subnetwork's predictions in understanding stress biology.

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          Most cited references123

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          Genomic expression programs in the response of yeast cells to environmental changes.

          We explored genomic expression patterns in the yeast Saccharomyces cerevisiae responding to diverse environmental transitions. DNA microarrays were used to measure changes in transcript levels over time for almost every yeast gene, as cells responded to temperature shocks, hydrogen peroxide, the superoxide-generating drug menadione, the sulfhydryl-oxidizing agent diamide, the disulfide-reducing agent dithiothreitol, hyper- and hypo-osmotic shock, amino acid starvation, nitrogen source depletion, and progression into stationary phase. A large set of genes (approximately 900) showed a similar drastic response to almost all of these environmental changes. Additional features of the genomic responses were specialized for specific conditions. Promoter analysis and subsequent characterization of the responses of mutant strains implicated the transcription factors Yap1p, as well as Msn2p and Msn4p, in mediating specific features of the transcriptional response, while the identification of novel sequence elements provided clues to novel regulators. Physiological themes in the genomic responses to specific environmental stresses provided insights into the effects of those stresses on the cell.
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            Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

            We sought to create a comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle. To this end, we used DNA microarrays and samples from yeast cultures synchronized by three independent methods: alpha factor arrest, elutriation, and arrest of a cdc15 temperature-sensitive mutant. Using periodicity and correlation algorithms, we identified 800 genes that meet an objective minimum criterion for cell cycle regulation. In separate experiments, designed to examine the effects of inducing either the G1 cyclin Cln3p or the B-type cyclin Clb2p, we found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins. Furthermore, we analyzed our set of cell cycle-regulated genes for known and new promoter elements and show that several known elements (or variations thereof) contain information predictive of cell cycle regulation. A full description and complete data sets are available at http://cellcycle-www.stanford.edu
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              The tandem affinity purification (TAP) method: a general procedure of protein complex purification.

              Identification of components present in biological complexes requires their purification to near homogeneity. Methods of purification vary from protein to protein, making it impossible to design a general purification strategy valid for all cases. We have developed the tandem affinity purification (TAP) method as a tool that allows rapid purification under native conditions of complexes, even when expressed at their natural level. Prior knowledge of complex composition or function is not required. The TAP method requires fusion of the TAP tag, either N- or C-terminally, to the target protein of interest. Starting from a relatively small number of cells, active macromolecular complexes can be isolated and used for multiple applications. Variations of the method to specifically purify complexes containing two given components or to subtract undesired complexes can easily be implemented. The TAP method was initially developed in yeast but can be successfully adapted to various organisms. Its simplicity, high yield, and wide applicability make the TAP method a very useful procedure for protein purification and proteome exploration. Copyright 2001 Academic Press.
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                Author and article information

                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                msb
                Molecular Systems Biology
                Blackwell Publishing Ltd (Oxford, UK )
                1744-4292
                1744-4292
                November 2014
                19 November 2014
                : 10
                : 11
                : 759
                Affiliations
                [1 ]Department of Computer Sciences, University of Wisconsin-Madison Madison, WI, USA
                [2 ]Laboratory of Genetics, University of Wisconsin-Madison Madison, WI, USA
                [3 ]Department of Biochemistry, University of Wisconsin-Madison Madison, WI, USA
                [4 ]Department of Chemistry, University of Wisconsin-Madison Madison, WI, USA
                [5 ]Genome Center of Wisconsin, University of Wisconsin-Madison Madison, WI, USA
                [6 ]Department of Biological Chemistry, University of Wisconsin-Madison Madison, WI, USA
                [7 ]Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison Madison, WI, USA
                Author notes
                *Corresponding author. Tel: +1 608 265 4690; E-mail: ansari@ 123456biochem.wisc.edu
                **Corresponding author. Tel: +1 608 265 6181; E-mail: craven@ 123456biostat.wisc.edu
                ***Corresponding author. Tel: +1 608 265 0859; E-mail: agasch@ 123456wisc.edu

                Subject Categories Signal Transduction; Computational Biology; Genome-Scale & Integrative Biology

                [†]

                These authors share first authorship

                [‡]

                Present address: Institute for Neurodegenerative Disease, University of California-San Francisco, San Francisco, CA, USA

                [§]

                Present address: Genentech, South San Francisco, CA, USA

                [¶]

                Present address: University of Georgia, Athens, GA, USA

                Article
                10.15252/msb.20145120
                4299600
                25411400
                eda554ec-99bc-46d8-a167-b378fcba6fb2
                © 2014 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 January 2014
                : 03 October 2014
                : 15 October 2014
                Categories
                Articles

                Quantitative & Systems biology
                environmental stress,integer programming,proteomics,signal transduction,transcriptomics

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