Large-scale analysis of the yeast proteome by multidimensional protein identification technology View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-03

AUTHORS

Michael P. Washburn, Dirk Wolters, John R. Yates

ABSTRACT

We describe a largely unbiased method for rapid and large-scale proteome analysis by multidimensional liquid chromatography, tandem mass spectrometry, and database searching by the SEQUEST algorithm, named multidimensional protein identification technology (MudPIT). MudPIT was applied to the proteome of the Saccharomyces cerevisiae strain BJ5460 grown to mid-log phase and yielded the largest proteome analysis to date. A total of 1,484 proteins were detected and identified. Categorization of these hits demonstrated the ability of this technology to detect and identify proteins rarely seen in proteome analysis, including low-abundance proteins like transcription factors and protein kinases. Furthermore, we identified 131 proteins with three or more predicted transmembrane domains, which allowed us to map the soluble domains of many of the integral membrane proteins. MudPIT is useful for proteome analysis and may be specifically applied to integral membrane proteins to obtain detailed biochemical information on this unwieldy class of proteins. More... »

PAGES

242-247

Journal

TITLE

Nature Biotechnology

ISSUE

3

VOLUME

19

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/85686

    DOI

    http://dx.doi.org/10.1038/85686

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1050637706

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/11231557


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