Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Transcription profiling of yeast treated with rapamycin in a 7-part time series


ABSTRACT: This experiment was a 7-part time series (or, 2x7 factorial design) examining the effect of rapamycin on gene expression in Saccharomyces cerevisiae. Treated and untreated cultures were compared at 0, 20, 40, 60, 120, 240, and 360 minutes. In the paper, expression ratios (mRNA) at each time point were compared to equivalent ratios (protein) from shotgun proteomics NSAF data. High-expressing mRNA ratios were also clustered and GO-characterized.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Ariel Paulson 

PROVIDER: E-TABM-639 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Delayed correlation of mRNA and protein expression in rapamycin-treated cells and a role for Ggc1 in cellular sensitivity to rapamycin.

Fournier Marjorie L ML   Paulson Ariel A   Pavelka Norman N   Mosley Amber L AL   Gaudenz Karin K   Bradford William D WD   Glynn Earl E   Li Hua H   Sardiu Mihaela E ME   Fleharty Brian B   Seidel Christopher C   Florens Laurence L   Washburn Michael P MP  

Molecular & cellular proteomics : MCP 20091110 2


To identify new molecular targets of rapamycin, an anticancer and immunosuppressive drug, we analyzed temporal changes in yeast over 6 h in response to rapamycin at the transcriptome and proteome levels and integrated the expression patterns with functional profiling. We show that the integration of transcriptomics, proteomics, and functional data sets provides novel insights into the molecular mechanisms of rapamycin action. We first observed a temporal delay in the correlation of mRNA and prot  ...[more]

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