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An open-source computational and data resource to analyze digital maps of immunopeptidomes.
Caron, Etienne; Espona, Lucia; Kowalewski, Daniel J; Schuster, Heiko; Ternette, Nicola; Alpízar, Adán; Schittenhelm, Ralf B; Ramarathinam, Sri H; Lindestam Arlehamn, Cecilia S; Chiek Koh, Ching; Gillet, Ludovic C; Rabsteyn, Armin; Navarro, Pedro; Kim, Sangtae; Lam, Henry; Sturm, Theo; Marcilla, Miguel; Sette, Alessandro; Campbell, David S; Deutsch, Eric W; Moritz, Robert L; Purcell, Anthony W; Rammensee, Hans-Georg; Stevanovic, Stefan; Aebersold, Ruedi.
Afiliação
  • Caron E; Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland.
  • Espona L; Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland.
  • Kowalewski DJ; Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
  • Schuster H; Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
  • Ternette N; Target Discovery Institute Mass Spectrometry Laboratory, University of Oxford, Oxford, United Kingdom.
  • Alpízar A; Proteomics Unit, Spanish National Biotechnology Centre, Madrid, Spain.
  • Schittenhelm RB; Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia.
  • Ramarathinam SH; Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia.
  • Lindestam Arlehamn CS; La Jolla Institute for Allergy and Immunology, La Jolla, United States.
  • Chiek Koh C; Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland.
  • Gillet LC; Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland.
  • Rabsteyn A; Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
  • Navarro P; Institute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
  • Kim S; Pacific Northwest National Laboratory, Richland, United States.
  • Lam H; Division of Biomedical Engineering and Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
  • Sturm T; Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland.
  • Marcilla M; Proteomics Unit, Spanish National Biotechnology Centre, Madrid, Spain.
  • Sette A; La Jolla Institute for Allergy and Immunology, La Jolla, United States.
  • Campbell DS; Institute for Systems Biology, Seattle, United States.
  • Deutsch EW; Institute for Systems Biology, Seattle, United States.
  • Moritz RL; Institute for Systems Biology, Seattle, United States.
  • Purcell AW; Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia.
  • Rammensee HG; Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
  • Stevanovic S; Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
  • Aebersold R; Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland.
Elife ; 42015 Jul 08.
Article em En | MEDLINE | ID: mdl-26154972
ABSTRACT
We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-specific peptide assay libraries consisting of consensus fragment ion spectra, and the analysis of quantitative digital maps of HLA peptidomes generated from a range of biological sources by SWATH mass spectrometry (MS). This study represents the first community-based effort to develop a robust platform for the reproducible and quantitative measurement of the entire repertoire of peptides presented by HLA molecules, an essential step towards the design of efficient immunotherapies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Bases de Dados Factuais / Biologia Computacional / Antígenos Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Bases de Dados Factuais / Biologia Computacional / Antígenos Idioma: En Ano de publicação: 2015 Tipo de documento: Article