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We began analyzing https://www.nature.com/articles/nbt0301_242, but it redirected us to https://www.nature.com/articles/nbt0301_242. The analysis below is for the second page.

Title[redir]:
Large-scale analysis of the yeast proteome by multidimensional protein identification technology | Nature Biotechnology
Description:
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.

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Education
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Custom-built

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Keywords {🔍}

article, google, scholar, cas, nature, protein, proteome, proteins, analysis, mass, electrophoresis, yeast, yates, access, content, information, spectrometry, expression, identification, database, membrane, biol, cookies, multidimensional, washburn, iii, twodimensional, research, privacy, data, john, chromatography, saccharomyces, cerevisiae, open, gene, biotechnol, proc, natl, acad, sci, usa, nat, chem, largescale, technology, michael, wolters, map, structure,

Topics {✒️}

nature portfolio permissions reprints privacy policy scripps research institute codon adaptation index single-cell multi-omics prediction advertising separation tools proteomic research low-copy-number gene products open conformation social media nature 405 nature 392 nature isotope-coded affinity tags isotopic n-terminal labeling author correspondence springerlink instant access including low-abundance proteins permissions personal data large-scale proteome analysis hydrophobic interaction chromatography data protection emerging single-molecule privacy large-scale identification low-femtomole level low femtomole level large-scale analysis shared signaling components explore content subscription content tandem mass spectrometry cell biology sr11 european economic area largely unbiased method multidimensional liquid chromatography institutional subscriptions read gene networks requires immobilized ph gradients lc/ms/ms p-type atpases fragmentation-directing moiety fritless electrospray interface geejohan andersen-ranbergkrishna cea patients maarten low abundance proteins accepting optional cookies

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Membrane proteins and proteomics: un amour impossible?

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