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Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard.
Gotti, Clarisse; Roux-Dalvai, Florence; Joly-Beauparlant, Charles; Mangnier, Loïc; Leclercq, Mickaël; Droit, Arnaud.
Afiliação
  • Gotti C; Proteomics Platform, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.
  • Roux-Dalvai F; Computational Biology Laboratory, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.
  • Joly-Beauparlant C; Proteomics Platform, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.
  • Mangnier L; Computational Biology Laboratory, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.
  • Leclercq M; Computational Biology Laboratory, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.
  • Droit A; Computational Biology Laboratory, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.
J Proteome Res ; 20(10): 4801-4814, 2021 Oct 01.
Article em En | MEDLINE | ID: mdl-34472865
Over the past decade, the data-independent acquisition mode has gained popularity for broad coverage of complex proteomes by LC-MS/MS and quantification of low-abundance proteins. However, there is no consensus in the literature on the best data acquisition parameters and processing tools to use for this specific application. Here, we present the most comprehensive comparison of DIA workflows on Orbitrap instruments published so far in the field of proteomics. Using a standard human 48 proteins mixture (UPS1-Sigma) at 8 different concentrations in an E. coli proteome background, we tested 36 workflows including 4 different DIA window acquisition schemes and 6 different software tools (DIA-NN, DIA-Umpire, OpenSWATH, ScaffoldDIA, Skyline, and Spectronaut) with or without the use of a DDA spectral library. On the basis of the number of proteins identified, quantification linearity and reproducibility, as well as sensitivity and specificity in 28 pairwise comparisons of different UPS1 concentrations, we summarize the major considerations and propose guidelines for choosing the DIA workflow best suited for LC-MS/MS proteomic analyses. Our 96 DIA raw files and software outputs have been deposited on ProteomeXchange for testing or developing new DIA processing tools.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Benchmarking / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Benchmarking / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá País de publicação: Estados Unidos