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Series GSE25644 Query DataSets for GSE25644
Status Public on Dec 09, 2010
Title Expression profiling of yeast kinase and phosphatase knockouts
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by array
Summary To understand relationships between phosphorylation-based signaling pathways, we analyzed 150 deletion mutants of protein kinases and phosphatases in S. cerevisiae using DNA microarrays. Downstream changes in gene expression were treated as a phenotypic readout. Double mutants with synthetic genetic interactions were included to investigate genetic buffering relationships such as redundancy. Three types of genetic buffering relationships are identified: mixed epistasis, complete redundancy and quantitative redundancy. In mixed epistasis, the most common buffering relationship, different gene-sets respond in different epistatic ways. Mixed epistasis arises from pairs of regulators that have only partial overlap in function and that are coupled by additional regulatory links such as repression of one by the other. Such regulatory modules confer the ability to control different combinations of processes depending on condition or context. These properties likely contribute to the evolutionary maintenance of paralogs and indicate a way in which signaling pathways connect for multi-process control.
 
Overall design RNA isolated from a large amount of wt yeast from a single culture was used as a common reference. This common reference was used for each separate hybridization and used in the statistical analysis to obtain an average expression-profile for each deletion mutant relative to the wt. Two independent cultures were hybridized on two separate microarrays. For the first hybridization the Cy5 (red) labeled cRNA from the deletion mutant is hybridized together with the Cy3 (green) labeled cRNA from the common reference. For the replicate hybridization, the labels are swapped. Each gene is represented twice on the microarray, resulting in four measurements per mutant. Up to five deletion strains were grown on a single day. Wt cultures were grown parallel to the deletion mutants to assess day-to-day variance.
Web link http://www.holstegelab.nl/publications/sv/signaling_redundancy/
 
Contributor(s) van Wageningen S, Kemmeren P, Lijnzaad P, Margaritis T, Benschop J, de Castro I, van Leenen D, Groot Koerkamp M, Ko C, Miles T, Brabers N, Brok M, Lenstra T, Fiedler D, Fokkens L, Aldecoa R, Apweiler E, Sameith K, van de Pasch L, van Hooff S, Bakker L, Krogan N, Snel B, Holstege F
Citation(s) 21145464
Submission date Nov 29, 2010
Last update date Jun 06, 2013
Contact name Patrick Kemmeren
Organization name UMC Utrecht
Department Department of Molecular Cancer Research
Lab Holstege Lab
Street address Universiteitsweg 100
City Utrecht
State/province Utrecht
ZIP/Postal code 3584 CG
Country Netherlands
 
Platforms (1)
GPL11232 A-UMCU-Y16k-1.3
Samples (464)
GSM630089 abc1-del-2-a
GSM630090 abc1-del-2-b
GSM630091 akl1-del-1-a
Relations
BioProject PRJNA133899

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE25644_PROTOCOLS.txt.gz 8.7 Kb (ftp)(http) TXT
GSE25644_RAW.tar 303.6 Mb (http)(custom) TAR (of TXT)
GSE25644_final_GeneExpressionMatrix.txt.gz 16.8 Mb (ftp)(http) TXT
Processed data included within Sample table
Processed data are available on Series record

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