Statistical analysis of membrane proteome expression changes in Saccharomyces cerevisiae

Boris Zybailov, Amber L. Mosley, Mihaela E. Sardiu, Michael K. Coleman, Laurence Florens, Michael P. Washburn

Research output: Contribution to journalArticle

710 Scopus citations

Abstract

We have devised an approach for analyzing shotgun proteomics datasets based on the normalized spectral abundance factor that can be used for quantitative proteomics analysis. Three biological replicates of samples enriched for plasma membranes were isolated from S. cerevisiae grown in 14N-rich media and 15N-minimal media and analyzed via quantitative multidimensional protein identification technology. The natural log transformation of NSAF values from S. cerevisiae cells grown in 14N YPD media and 15N-minimal media had a normal distribution. The t-test analysis demonstrated 221 of 1316 proteins were significantly overexpressed in one or the other growth conditions with a p value <0.05. Notably, amino acid transporters were among the 14 membrane proteins that were significantly upregulated in cells grown in minimal media, and we functionally validated these increases in protein expression with radioisotope uptake assays for selected proteins.

Original languageEnglish (US)
Pages (from-to)2339-2347
Number of pages9
JournalJournal of Proteome Research
Volume5
Issue number9
DOIs
StatePublished - Sep 1 2006
Externally publishedYes

Keywords

  • Integral membrane proteins
  • Mass spectrometry
  • Multidimensional protein identification technology
  • Quantitative proteomics
  • Statistical analysis

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

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