Literature DB >> 12073326

Yeast genomic expression studies using DNA microarrays.

Audrey P Gasch1.   

Abstract

The exploration and characterization of yeast genomic expression programs is providing a wealth of information about yeast biology, as well as other organisms. The intriguing biology of yeast species invites characterization of genomic expression patterns to illuminate the details of cellular physiology. In addition to its value as an interesting organism, yeast maintains its role as an excellent model in which to characterize genomic expression programs. Microarray studies are quickly spreading to plant, animal, and microbial organisms that remain in the early stages of characterization. The extensive knowledge of yeast biology, as well as the relative ease with which yeast studies can be performed and controlled, facilitates interpretation of the genomic expression data. Importantly, existing information about yeast biology, including functional annotations for each gene, is captured and efficiently presented in databases such as the Saccharomyces Genome Database (SGD), the Munich Information Center Yeast Genome Database (MIPS), the Yeast and Pombe Protein Databases (YPD and PPD, respectively), and others. A number of databases also allow the exploration of published genomic expression studies, including the "Expression Connection" at SGD and the Microarray Global Viewer (yMGV) organized by Marc et al. Consulting these databases to retrieve known details about gene function and regulation vastly facilitates interpretation of the genomic expression data, allowing biological hypotheses to be formulated and tested. These hypotheses can be applied to other organisms that may execute genomic expression programs similar to those seen in yeast. Furthermore, as more genomic expression studies in multiple organisms emerge, large-scale data comparisons can be conducted, within and across organisms. Incorporating the results of yeast studies into such comparisons is certain to increase our understanding about the function, regulation, and evolution of genomic expression programs.

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Year:  2002        PMID: 12073326     DOI: 10.1016/s0076-6879(02)50976-9

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  27 in total

1.  Phosphoproteome Response to Dithiothreitol Reveals Unique Versus Shared Features of Saccharomyces cerevisiae Stress Responses.

Authors:  Matthew E MacGilvray; Evgenia Shishkova; Michael Place; Ellen R Wagner; Joshua J Coon; Audrey P Gasch
Journal:  J Proteome Res       Date:  2020-07-13       Impact factor: 4.466

2.  An Aspergillus nidulans bZIP response pathway hardwired for defensive secondary metabolism operates through aflR.

Authors:  Wen-Bing Yin; Saori Amaike; Dana J Wohlbach; Audrey P Gasch; Yi-Ming Chiang; Clay C C Wang; Jin Woo Bok; Marko Rohlfs; Nancy P Keller
Journal:  Mol Microbiol       Date:  2012-02-10       Impact factor: 3.501

3.  RNA isolation from yeast using silica matrices.

Authors:  A Irina Mutiu; Christopher J Brandl
Journal:  J Biomol Tech       Date:  2005-12

4.  Exploiting natural variation in Saccharomyces cerevisiae to identify genes for increased ethanol resistance.

Authors:  Jeffrey A Lewis; Isaac M Elkon; Mick A McGee; Alan J Higbee; Audrey P Gasch
Journal:  Genetics       Date:  2010-09-20       Impact factor: 4.562

5.  yMGV: a cross-species expression data mining tool.

Authors:  Gaëlle Lelandais; Stéphane Le Crom; Frédéric Devaux; Stéphane Vialette; George M Church; Claude Jacq; Philippe Marc
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

6.  Decoupling Yeast Cell Division and Stress Defense Implicates mRNA Repression in Translational Reallocation during Stress.

Authors:  Yi-Hsuan Ho; Evgenia Shishkova; James Hose; Joshua J Coon; Audrey P Gasch
Journal:  Curr Biol       Date:  2018-08-02       Impact factor: 10.834

7.  Transient genotype-by-environment interactions following environmental shock provide a source of expression variation for essential genes.

Authors:  Kevin H Eng; Daniel J Kvitek; Sündüz Keles; Audrey P Gasch
Journal:  Genetics       Date:  2009-12-04       Impact factor: 4.562

8.  Leveraging Genetic-Background Effects in Saccharomyces cerevisiae To Improve Lignocellulosic Hydrolysate Tolerance.

Authors:  Maria Sardi; Nikolay Rovinskiy; Yaoping Zhang; Audrey P Gasch
Journal:  Appl Environ Microbiol       Date:  2016-09-16       Impact factor: 4.792

9.  Transcription-associated mutagenesis in yeast is directly proportional to the level of gene expression and influenced by the direction of DNA replication.

Authors:  Nayun Kim; Amy L Abdulovic; Regan Gealy; Malcolm J Lippert; Sue Jinks-Robertson
Journal:  DNA Repair (Amst)       Date:  2007-03-29

10.  The histone deacetylase Rpd3p is required for transient changes in genomic expression in response to stress.

Authors:  Adriana L Alejandro-Osorio; Dana J Huebert; Dominic T Porcaro; Megan E Sonntag; Songdet Nillasithanukroh; Jessica L Will; Audrey P Gasch
Journal:  Genome Biol       Date:  2009-05-26       Impact factor: 13.583

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