Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Characterization of the Bar proteinase, an extracellular enzyme from the yeast Saccharomyces cerevisiae"    Next AbstractThe impact of local emissions on the formation of secondary pollutants in urban plumes »

Mol Cell Proteomics


Title:Gene expression analyzed by high-resolution state array analysis and quantitative proteomics: response of yeast to mating pheromone
Author(s):MacKay VL; Li X; Flory MR; Turcott E; Law GL; Serikawa KA; Xu XL; Lee H; Goodlett DR; Aebersold R; Zhao LP; Morris DR;
Address:"Department of Biochemistry, University of Washington, Seattle, WA 98195, USA"
Journal Title:Mol Cell Proteomics
Year:2004
Volume:20040206
Issue:5
Page Number:478 - 489
DOI: 10.1074/mcp.M300129-MCP200
ISSN/ISBN:1535-9476 (Print) 1535-9476 (Linking)
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"
Keywords:"Computational Biology Gene Expression Profiling Gene Expression Regulation, Fungal/*drug effects/genetics Models, Theoretical Pheromones/*pharmacology Polyribosomes/*genetics *Protein Biosynthesis *Proteomics RNA, Fungal/genetics Saccharomyces cerevisiae/;"
Notes:"MedlineMacKay, Vivian L Li, Xiaohong Flory, Mark R Turcott, Eileen Law, G Lynn Serikawa, Kyle A Xu, X L Lee, Hookeun Goodlett, David R Aebersold, Ruedi Zhao, Lue Ping Morris, David R eng CA89807/CA/NCI NIH HHS/ HG02283/HG/NHGRI NIH HHS/ Research Support, U.S. Gov't, P.H.S. 2004/02/10 Mol Cell Proteomics. 2004 May; 3(5):478-89. doi: 10.1074/mcp.M300129-MCP200. Epub 2004 Feb 6"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-11-2024