Literature DB >> 12192590

Global analysis of gene expression in yeast.

Christine E Horak1, Michael Snyder.   

Abstract

In the past decade, there has been an intense effort to comprehensively catalogue the expressed genes in the yeast Saccharomyces cerevisiae and to determine the absolute and relative abundance of transcript and protein levels under different cellular conditions. Several methods have been developed to monitor gene expression: DNA microarray analysis, Serial Analysis of Gene Expression (SAGE), kinetic RT-PCR and monitoring expression of beta-galactosidase fusion proteins. These techniques have been used to measure transcript and protein abundance in different developmental states and under different environmental stimuli. A wealth of expression data for yeast is now publicly available through several web sites. The expression information that exists has the obvious benefits of providing a better understanding of the gene expression patterns that accompany changes in a yeast cell's environmental and developmental states. This data has also, however, provided clues to unraveling the complicated questions surrounding gene regulation: why and how is gene expression controlled?

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Year:  2002        PMID: 12192590     DOI: 10.1007/s10142-002-0065-3

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  27 in total

1.  ExpressYourself: A modular platform for processing and visualizing microarray data.

Authors:  Nicholas M Luscombe; Thomas E Royce; Paul Bertone; Nathaniel Echols; Christine E Horak; Joseph T Chang; Michael Snyder; Mark Gerstein
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Excess histone levels mediate cytotoxicity via multiple mechanisms.

Authors:  Rakesh Kumar Singh; Dun Liang; Ugander Reddy Gajjalaiahvari; Marie-Helene Miquel Kabbaj; Johanna Paik; Akash Gunjan
Journal:  Cell Cycle       Date:  2010-10-13       Impact factor: 4.534

3.  Functional connection between the Clb5 cyclin, the protein kinase C pathway and the Swi4 transcription factor in Saccharomyces cerevisiae.

Authors:  Ethel Queralt; J Carlos Igual
Journal:  Genetics       Date:  2005-08-22       Impact factor: 4.562

4.  Adaptive stress response to menadione-induced oxidative stress in Saccharomyces cerevisiae KNU5377.

Authors:  Il-Sup Kim; Ho-Yong Sohn; Ingnyol Jin
Journal:  J Microbiol       Date:  2011-11-09       Impact factor: 3.422

5.  Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analyses.

Authors:  Xiyan Li; Tara A Gianoulis; Kevin Y Yip; Mark Gerstein; Michael Snyder
Journal:  Cell       Date:  2010-10-28       Impact factor: 41.582

6.  Repressor- and activator-type ethylene response factors functioning in jasmonate signaling and disease resistance identified via a genome-wide screen of Arabidopsis transcription factor gene expression.

Authors:  Ken C McGrath; Bruno Dombrecht; John M Manners; Peer M Schenk; Cameron I Edgar; Donald J Maclean; Wolf-Rüdiger Scheible; Michael K Udvardi; Kemal Kazan
Journal:  Plant Physiol       Date:  2005-09-23       Impact factor: 8.340

7.  Correlation of mRNA expression and protein abundance affected by multiple sequence features related to translational efficiency in Desulfovibrio vulgaris: a quantitative analysis.

Authors:  Lei Nie; Gang Wu; Weiwen Zhang
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

8.  Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins.

Authors:  Wandaliz Torres-García; Weiwen Zhang; George C Runger; Roger H Johnson; Deirdre R Meldrum
Journal:  Bioinformatics       Date:  2009-05-15       Impact factor: 6.937

9.  PhosphoGRID: a database of experimentally verified in vivo protein phosphorylation sites from the budding yeast Saccharomyces cerevisiae.

Authors:  Chris Stark; Ting-Cheng Su; Ashton Breitkreutz; Pedro Lourenco; Matthew Dahabieh; Bobby-Joe Breitkreutz; Mike Tyers; Ivan Sadowski
Journal:  Database (Oxford)       Date:  2010-01-28       Impact factor: 3.451

10.  QuantPrime--a flexible tool for reliable high-throughput primer design for quantitative PCR.

Authors:  Samuel Arvidsson; Miroslaw Kwasniewski; Diego Mauricio Riaño-Pachón; Bernd Mueller-Roeber
Journal:  BMC Bioinformatics       Date:  2008-11-01       Impact factor: 3.169

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