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Matrix-Matched Calibration Curves for Assessing Analytical Figures of Merit in Quantitative Proteomics.
Pino, Lindsay K; Searle, Brian C; Yang, Han-Yin; Hoofnagle, Andrew N; Noble, William S; MacCoss, Michael J.
Afiliação
  • Pino LK; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Searle BC; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Yang HY; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Hoofnagle AN; Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, United States.
  • Noble WS; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • MacCoss MJ; Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, United States.
J Proteome Res ; 19(3): 1147-1153, 2020 03 06.
Article em En | MEDLINE | ID: mdl-32037841
Mass spectrometry is a powerful tool for quantifying protein abundance in complex samples. Advances in sample preparation and the development of data-independent acquisition (DIA) mass spectrometry approaches have increased the number of peptides and proteins measured per sample. Here, we present a series of experiments demonstrating how to assess whether a peptide measurement is quantitative by mass spectrometry. Our results demonstrate that increasing the number of detected peptides in a proteomics experiment does not necessarily result in increased numbers of peptides that can be measured quantitatively.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Proteômica Tipo de estudo: Prognostic_studies Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Proteômica Tipo de estudo: Prognostic_studies Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos