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<title lang=en>Direct iterative protein profiling (DIPP) - an innovative method for large-scale protein detection applied to budding yeast mitosis.</title>
<creator>Lavigne, Régis</creator>
<creator>Becker, Emmanuelle</creator>
<creator>Liu, Yuchen</creator>
<creator>Evrard, Bertrand</creator>
<creator>Lardenois, Aurélie</creator>
<creator>Primig, Michael</creator>
<creator>Pineau, Charles</creator>
<contributor>Plateforme Protéomique-Biogenouest (PPB) ; Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) - Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) - Proteomics Core Facility (Protim) ; Université de Rennes 1 (UR1) - Plateforme Génomique Santé Biogenouest® - Plateforme Génomique Santé Biogenouest®</contributor>
<contributor>Groupe d'Etude de la Reproduction Chez l'Homme et les Mammiferes (GERHM) ; Université de Rennes 1 (UR1) - IFR140 - Institut National de la Santé et de la Recherche Médicale (INSERM)</contributor>
<contributor>Inserm Avenir (grant N0 R07216NS); Région Bretagne CREATE (grant N0 R11016NN); Région Bretagne</contributor>
<description>International audience</description>
<source>ISSN: 1535-9476</source>
<source>Molecular and Cellular Proteomics</source>
<publisher>American Society for Biochemistry and Molecular Biology</publisher>
<identifier>hal-00682837</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00682837</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00682837</source>
<source>Molecular and Cellular Proteomics, American Society for Biochemistry and Molecular Biology, 2012, 11 (2), pp.M111.012682. 〈10.1074/mcp.M111.012682〉</source>
<identifier>DOI : 10.1074/mcp.M111.012682</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1074/mcp.M111.012682</relation>
<identifier>PUBMED : 21997732</identifier>
<relation>info:eu-repo/semantics/altIdentifier/pmid/21997732</relation>
<language>en</language>
<subject>[SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>The budding yeast Saccharomyces cerevisiae is a major model organism for important biological processes such as mitotic growth and meiotic development, it can be a human pathogen, and it is widely used in the food-, and biotechnology industries. Consequently, the genomes of numerous strains have been sequenced and a very large amount of RNA profiling data is available. Moreover, it has recently become possible to quantitatively analyze the entire yeast proteome; however, efficient and cost-effective high-throughput protein profiling remains a challenge. We report here a new approach to direct and label-free large-scale yeast protein identification using a tandem buffer system for protein extraction, two-step protein prefractionation and enzymatic digestion, and detection of peptides by iterative mass spectrometry. Our profiling study of diploid cells undergoing rapid mitotic growth identified 86% of the known proteins and its output was found to be widely concordant with genome-wide mRNA concentrations and DNA variations between yeast strains. This paves the way for comprehensive and straightforward yeast proteome profiling across a wide variety of experimental conditions.</description>
<date>2012-02</date>
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