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Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics.
Adams, Kendra J; Pratt, Brian; Bose, Neelanjan; Dubois, Laura G; St John-Williams, Lisa; Perrott, Kevin M; Ky, Karina; Kapahi, Pankaj; Sharma, Vagisha; MacCoss, Michael J; Moseley, M Arthur; Colton, Carol A; MacLean, Brendan X; Schilling, Birgit; Thompson, J Will.
Afiliação
  • Adams KJ; Proteomics and Metabolomics Shared Resource, Duke University, Durham, North Carolina 27701, United States.
  • Pratt B; Department of Neurology, Duke University, Durham, North Carolina 27710, United States.
  • Bose N; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Dubois LG; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • St John-Williams L; Proteomics and Metabolomics Shared Resource, Duke University, Durham, North Carolina 27701, United States.
  • Perrott KM; Proteomics and Metabolomics Shared Resource, Duke University, Durham, North Carolina 27701, United States.
  • Ky K; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • Kapahi P; University of California San Francisco, San Francisco, California 94143, United States.
  • Sharma V; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • MacCoss MJ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Moseley MA; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Colton CA; Proteomics and Metabolomics Shared Resource, Duke University, Durham, North Carolina 27701, United States.
  • MacLean BX; Department of Neurology, Duke University, Durham, North Carolina 27710, United States.
  • Schilling B; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Thompson JW; Buck Institute for Research on Aging, Novato, California 94945, United States.
J Proteome Res ; 19(4): 1447-1458, 2020 04 03.
Article em En | MEDLINE | ID: mdl-31984744
ABSTRACT
Vendor-independent software tools for quantification of small molecules and metabolites are lacking, especially for targeted analysis workflows. Skyline is a freely available, open-source software tool for targeted quantitative mass spectrometry method development and data processing with a 10 year history supporting six major instrument vendors. Designed initially for proteomics analysis, we describe the expansion of Skyline to data for small molecule analysis, including selected reaction monitoring, high-resolution mass spectrometry, and calibrated quantification. This fundamental expansion of Skyline from a peptide-sequence-centric tool to a molecule-centric tool makes it agnostic to the source of the molecule while retaining Skyline features critical for workflows in both peptide and more general biomolecular research. The data visualization and interrogation features already available in Skyline, such as peak picking, chromatographic alignment, and transition selection, have been adapted to support small molecule data, including metabolomics. Herein, we explain the conceptual workflow for small molecule analysis using Skyline, demonstrate Skyline performance benchmarked against a comparable instrument vendor software tool, and present additional real-world applications. Further, we include step-by-step instructions on using Skyline for small molecule quantitative method development and data analysis on data acquired with a variety of mass spectrometers from multiple instrument vendors.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Metabolômica Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Metabolômica Idioma: En Ano de publicação: 2020 Tipo de documento: Article