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Series GSE8765 Query DataSets for GSE8765
Status Public on Nov 02, 2007
Title Transcriptional profiling of Loc1 knockout
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by array
Summary Duplicated genes escape gene loss by conferring a dosage benefit or evolving diverged functions. The yeast Saccharomyces cerevisiae contains many duplicated genes encoding ribosomal proteins. Prior studies have suggested that these duplicated proteins are functionally redundant and affect cellular processes in proportion to their expression. In contrast, through studies of ASH1 mRNA in yeast, we demonstrate paralog-specific requirements for the translation of localized mRNAs. Intriguingly, these paralog-specific effects are limited to a distinct subset of duplicated ribosomal proteins. Moreover, transcriptional and phenotypic profiling of cells lacking specific ribosomal proteins reveals differences between the functional roles of ribosomal protein paralogs that extend beyond effects on mRNA localization. Finally, we show that ribosomal protein paralogs exhibit differential requirements for assembly and localization. Together, our data indicate complex specialization of ribosomal proteins for specific cellular processes, and support the existence of a ribosomal code.
Keywords: genetic modification
 
Overall design Four biological replicates processed independently, two with each dye configuration
 
Contributor(s) Komili S, Farny NG, Roth FP, Silver PA
Citation(s) 17981122
Submission date Aug 13, 2007
Last update date Mar 17, 2012
Contact name Suzanne Komili
Organization name Harvard University
Street address 44 Binney St.
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (1)
GPL5741 U. Toronto Saccharomyces cerevisiae y6.4k2.gal cDNA array
Samples (4)
GSM217790 Transcriptional profiling of Loc1 knockout replicate #1
GSM217792 Transcriptional profiling of Loc1 knockout replicate #2
GSM217793 Transcriptional profiling of Loc1 knockout replicate #3
Relations
BioProject PRJNA102047

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
GSE8765_RAW.tar 3.9 Mb (http)(custom) TAR (of GPR)
Processed data included within Sample table

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