Remodeling of Yeast Genome Expression in Response to Environmental Changes
Helen C. Causton,Bing Ren,Sang Seok Koh,Christopher T. Harbison,Elenita I. Kanin,Ezra G. Jennings,Tong Ihn Lee,Heather L. True,Eric S. Lander,Richard A. Young +9 more
TLDR
The results of expression analysis with MSN2/MSN4 mutants support the model that the Msn2/Msn4 activators induce the common response to environmental change and extend the understanding of the role of activators in effecting this response.Abstract:
We used genome-wide expression analysis to explore how gene expression in Saccharomyces cerevisiae is remodeled in response to various changes in extracellular environment, including changes in temperature, oxidation, nutrients, pH, and osmolarity. The results demonstrate that more than half of the genome is involved in various responses to environmental change and identify the global set of genes induced and repressed by each condition. These data implicate a substantial number of previously uncharacterized genes in these responses and reveal a signature common to environmental responses that involves approximately 10% of yeast genes. The results of expression analysis with MSN2/MSN4 mutants support the model that the Msn2/Msn4 activators induce the common response to environmental change. These results provide a global description of the transcriptional response to environmental change and extend our understanding of the role of activators in effecting this response.read more
Citations
More filters
Journal ArticleDOI
REACTIVE OXYGEN SPECIES: Metabolism, Oxidative Stress, and Signal Transduction
Klaus Apel,Heribert Hirt +1 more
TL;DR: The mechanisms of ROS generation and removal in plants during development and under biotic and abiotic stress conditions are described and the possible functions and mechanisms for ROS sensing and signaling in plants are compared with those in animals and yeast.
Journal ArticleDOI
Functional profiling of the Saccharomyces cerevisiae genome.
Guri Giaever,Angela M. Chu,Li Ni,Carla Connelly,Linda Riles,Steeve Veronneau,Sally Dow,Ankuta Lucau-Danila,Keith Anderson,Bruno André,Adam P. Arkin,Anna Astromoff,Mohamed El Bakkoury,Rhonda Bangham,Rocío Benito,Sophie Brachat,Stefano Campanaro,Matt Curtiss,Karen Davis,Adam M. Deutschbauer,K. D. Entian,Patrick Flaherty,Françoise Foury,David J. Garfinkel,Mark Gerstein,Deanna Gotte,Ulrich Güldener,Johannes H. Hegemann,Svenja Hempel,Zelek S. Herman,Daniel F. Jaramillo,Diane E. Kelly,Steven L. Kelly,Peter Kötter,Darlene LaBonte,David C. Lamb,Ning Lan,Hong Liang,Hong Liao,Lucy Y. Liu,Chuanyun Luo,Marc Lussier,Rong Mao,Patrice Menard,Siew Loon Ooi,José L. Revuelta,Christopher J. Roberts,Matthias Rose,Petra Ross-Macdonald,Bart Scherens,Greg Schimmack,Brenda Shafer,Daniel D. Shoemaker,Sharon Sookhai-Mahadeo,Reginald Storms,Jeffrey N. Strathern,Giorgio Valle,Marleen Voet,Guido Volckaert,Ching Yun Wang,Teresa R. Ward,Julie Wilhelmy,Elizabeth A. Winzeler,Yonghong Yang,Grace Yen,Elaine M. Youngman,Kexin Yu,Howard Bussey,Jef D. Boeke,Michael Snyder,Peter Philippsen,Ronald W. Davis,Mark Johnston +72 more
TL;DR: It is shown that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment, and less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal Growth in four of the tested conditions.
Journal ArticleDOI
Transcriptional Regulatory Networks in Saccharomyces cerevisiae
Tong Ihn Lee,Nicola J. Rinaldi,François Robert,Duncan T. Odom,Ziv Bar-Joseph,Georg K. Gerber,Nancy M. Hannett,Christopher T. Harbison,Craig M. Thompson,Itamar Simon,Julia Zeitlinger,Ezra G. Jennings,Heather L. Murray,D. Benjamin Gordon,Bing Ren,John J. Wyrick,Jean-Bosco Tagne,Thomas L. Volkert,Ernest Fraenkel,David K. Gifford,Richard A. Young +20 more
TL;DR: This work determines how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells, and identifies network motifs, the simplest units of network architecture, and demonstrates that an automated process can use motifs to assemble a transcriptional regulatory network structure.
Journal ArticleDOI
Osmotic Stress Signaling and Osmoadaptation in Yeasts
TL;DR: An integrated understanding of osmoadaptation requires not only knowledge of the function of many uncharacterized genes but also further insight into the time line of events, their interdependence, their dynamics, and their spatial organization as well as the importance of subtle effects.
Journal ArticleDOI
Genome-wide map of nucleosome acetylation and methylation in yeast.
Dmitry K. Pokholok,Christopher T. Harbison,Stuart S. Levine,Megan F. Cole,Nancy M. Hannett,Tong Ihn Lee,George W. Bell,Kimberly Walker,P. Alex Rolfe,Elizabeth Herbolsheimer,Julia Zeitlinger,Fran Lewitter,David K. Gifford,Richard A. Young +13 more
TL;DR: These maps take into account changes in nucleosome occupancy at actively transcribed genes and, in doing so, revise previous assessments of the modifications associated with gene expression, providing the foundation for further understanding the roles of chromatin in gene expression and genome maintenance.
References
More filters
Journal ArticleDOI
Cluster analysis and display of genome-wide expression patterns
TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
Journal ArticleDOI
Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization
Paul T. Spellman,Gavin Sherlock,Gavin Sherlock,Michael Q. Zhang,Vishwanath R. Iyer,Kirk R. Anders,Michael B. Eisen,Patrick O. Brown,Patrick O. Brown,David Botstein,Bruce Futcher +10 more
TL;DR: A comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle is created, and it is found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins.
Journal ArticleDOI
Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale
TL;DR: DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions.
Journal ArticleDOI
Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis
Elizabeth A. Winzeler,Daniel D. Shoemaker,Anna Astromoff,Hong Liang,Keith Anderson,Bruno André,Rhonda Bangham,Rocío Benito,Jef D. Boeke,Howard Bussey,Angela M. Chu,Carla Connelly,Karen Davis,Fred S. Dietrich,Sally Dow,Mohamed El Bakkoury,Françoise Foury,Stephen H. Friend,Erik Gentalen,Guri Giaever,Johannes H. Hegemann,Ted Jones,Michael T. Laub,Hong Liao,Nicole Liebundguth,David J. Lockhart,Anca Lucau-Danila,Marc Lussier,Nasiha M'Rabet,Patrice Menard,Michael Mittmann,Chai Pai,Corinne Rebischung,José L. Revuelta,Linda Riles,Christopher J. Roberts,Petra Ross-Macdonald,Bart Scherens,Michael Snyder,Sharon Sookhai-Mahadeo,Reginald Storms,Steeve Veronneau,Marleen Voet,Guido Volckaert,Teresa R. Ward,Robert W. Wysocki,Grace Yen,Kexin Yu,Katja Zimmermann,Peter Philippsen,Mark Johnston,Ronald W. Davis +51 more
TL;DR: A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome), finding that 17 percent were essential for viability in rich medium.
Journal ArticleDOI
A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle
Raymond J. Cho,Michael J. Campbell,Elizabeth A. Winzeler,Lars M. Steinmetz,Andrew R. Conway,Lisa Wodicka,Tyra G. Wolfsberg,Andrei Gabrielian,David Landsman,David J. Lockhart,Ronald W. Davis +10 more
TL;DR: The genome-wide characterization of mRNA transcript levels during the cell cycle of the budding yeast S. cerevisiae indicates a mechanism for local chromosomal organization in global mRNA regulation and links a range of human genes to cell cycle period-specific biological functions.