title: Gene expression analyzed by high-resolution state array analysis and quantitative proteomics: response of yeast to mating pheromone.
abstract: The transcriptome provides the database from which a cell assembles its collection of proteins. Translation of individual mRNA species into their encoded proteins is regulated, producing discrepancies between mRNA and protein levels. Using a new modeling approach to data analysis, a striking diversity is revealed in association of the transcriptome with the translational machinery. Each mRNA has its own pattern of ribosome loading, a circumstance that provides an extraordinary dynamic range of regulation, above and beyond actual transcript levels. Using this approach together with quantitative proteomics, we explored the immediate changes in gene expression in response to activation of a mitogen-activated protein kinase pathway in yeast by mating pheromone. Interestingly, in 26% of those transcripts where the predicted protein synthesis rate changed by at least 3-fold, more than half of these changes resulted from altered translational efficiencies. These observations underscore that analysis of transcript level, albeit extremely important, is insufficient by itself to describe completely the phenotypes of cells under different conditions.
authors.affiliation: Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
authors.forename: Vivian L
authors.initials: VL
authors.lastname: MacKay
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Li
authors.forename: Mark R
authors.initials: MR
authors.lastname: Flory
authors.forename: Eileen
authors.initials: E
authors.lastname: Turcott
authors.forename: G Lynn
authors.initials: GL
authors.lastname: Law
authors.forename: Kyle A
authors.initials: KA
authors.lastname: Serikawa
authors.forename: X L
authors.initials: XL
authors.lastname: Xu
authors.forename: Hookeun
authors.initials: H
authors.lastname: Lee
authors.forename: David R
authors.initials: DR
authors.lastname: Goodlett
authors.forename: Ruedi
authors.initials: R
authors.lastname: Aebersold
authors.forename: Lue Ping
authors.initials: LP
authors.lastname: Zhao
authors.forename: David R
authors.initials: DR
authors.lastname: Morris
mesh_terms: D019295:Computational Biology; D020869:Gene Expression Profiling; D015966:Gene Expression Regulation, Fungal / Q000187:drug effects* / Q000235:genetics; D008962:Models, Theoretical; D010675:Pheromones / Q000494:pharmacology*; D011132:Polyribosomes / Q000235:genetics*; D014176:Protein Biosynthesis; D040901:Proteomics; D012331:RNA, Fungal / Q000235:genetics; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism
chemical_list: D010675:Pheromones; D012331:RNA, Fungal