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PMID: 18820680 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast.

Nature ·Vol. 455 ·No. 7217 ·2008-10-30 ·Pages 1251-4

de Godoy LM, Olsen JV, Cox J, Nielsen ML, Hubner NC, Fröhlich F, Walther TC, Mann M

Abstract

Mass spectrometry is a powerful technology for the analysis of large numbers of endogenous proteins. However, the analytical challenges associated with comprehensive identification and relative quantification of cellular proteomes have so far appeared to be insurmountable. Here, using advances in computational proteomics, instrument performance and sample preparation strategies, we compare protein levels of essentially all endogenous proteins in haploid yeast cells to their diploid counterparts. Our analysis spans more than four orders of magnitude in protein abundance with no discrimination against membrane or low level regulatory proteins. Stable-isotope labelling by amino acids in cell culture (SILAC) quantification was very accurate across the proteome, as demonstrated by one-to-one ratios of most yeast proteins. Key members of the pheromone pathway were specific to haploid yeast but others were unaltered, suggesting an efficient control mechanism of the mating response. Several retrotransposon-associated proteins were specific to haploid yeast. Gene ontology analysis pinpointed a significant change for cell wall components in agreement with geometrical considerations: diploid cells have twice the volume but not twice the surface area of haploid cells. Transcriptome levels agreed poorly with proteome changes overall. However, after filtering out low confidence microarray measurements, messenger RNA changes and SILAC ratios correlated very well for pheromone pathway components. Systems-wide, precise quantification directly at the protein level opens up new perspectives in post-genomics and systems biology.

MeSH Terms
Diploidy Gene Expression Profiling Genes, Fungal/genetics Haploidy Mass Spectrometry/methods Oligonucleotide Array Sequence Analysis Open Reading Frames Proteome/analysis,genetics Proteomics/methods RNA, Fungal/analysis,genetics Retroelements/genetics Saccharomyces cerevisiae/cytology,genetics,metabolism Saccharomyces cerevisiae Proteins/analysis,genetics Staining and Labeling Transcription, Genetic/genetics
Chemicals
Proteome RNA, Fungal Retroelements Saccharomyces cerevisiae Proteins
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
de Godoy Lyris M F
Proteomics and Signal Transduction, Max-Planck-Institute for Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany.
Olsen Jesper V
Cox Jürgen
Nielsen Michael L
Hubner Nina C
Fröhlich Florian
Walther Tobias C
Mann Matthias
Article Info
Journal
Nature
Abbr.
Nature
ISSN
1476-4687
Published
2008-10-30
Epub
2008-00-28
Pages
1251-4
Language
English
Region
England
NLM ID
0410462
Subset
IM
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