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Full-Featured, Real-Time Database Searching Platform Enables Fast and Accurate Multiplexed Quantitative Proteomics.
Schweppe, Devin K; Eng, Jimmy K; Yu, Qing; Bailey, Derek; Rad, Ramin; Navarrete-Perea, Jose; Huttlin, Edward L; Erickson, Brian K; Paulo, Joao A; Gygi, Steven P.
  • Schweppe DK; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Eng JK; University of Washington Proteomics Resource, Seattle, Washington 98109, United States.
  • Yu Q; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Bailey D; Thermo Scientific LSMS, San Jose, California 95134, United States.
  • Rad R; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Navarrete-Perea J; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Huttlin EL; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Erickson BK; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Paulo JA; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
  • Gygi SP; Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
J Proteome Res ; 19(5): 2026-2034, 2020 05 01.
Article en En | MEDLINE | ID: mdl-32126768
ABSTRACT
Multiplexed quantitative analyses of complex proteomes enable deep biological insight. While a multitude of workflows have been developed for multiplexed analyses, the most quantitatively accurate method (SPS-MS3) suffers from long acquisition duty cycles. We built a new, real-time database search (RTS) platform, Orbiter, to combat the SPS-MS3 method's longer duty cycles. RTS with Orbiter eliminates SPS-MS3 scans if no peptide matches to a given spectrum. With Orbiter's online proteomic analytical pipeline, which includes RTS and false discovery rate analysis, it was possible to process a single spectrum database search in less than 10 ms. The result is a fast, functional means to identify peptide spectral matches using Comet, filter these matches, and more efficiently quantify proteins of interest. Importantly, the use of Comet for peptide spectral matching allowed for a fully featured search, including analysis of post-translational modifications, with well-known and extensively validated scoring. These data could then be used to trigger subsequent scans in an adaptive and flexible manner. In this work we tested the utility of this adaptive data acquisition platform to improve the efficiency and accuracy of multiplexed quantitative experiments. We found that RTS enabled a 2-fold increase in mass spectrometric data acquisition efficiency. Orbiter's RTS quantified more than 8000 proteins across 10 proteomes in half the time of an SPS-MS3 analysis (18 h for RTS, 36 h for SPS-MS3).
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteoma / Proteómica Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteoma / Proteómica Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article