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Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS.
Bian, Yangyang; Zheng, Runsheng; Bayer, Florian P; Wong, Cassandra; Chang, Yun-Chien; Meng, Chen; Zolg, Daniel P; Reinecke, Maria; Zecha, Jana; Wiechmann, Svenja; Heinzlmeir, Stephanie; Scherr, Johannes; Hemmer, Bernhard; Baynham, Mike; Gingras, Anne-Claude; Boychenko, Oleksandr; Kuster, Bernhard.
Afiliação
  • Bian Y; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Zheng R; Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Bayer FP; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Wong C; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Chang YC; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
  • Meng C; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Zolg DP; Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich, Freising, Germany.
  • Reinecke M; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Zecha J; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Wiechmann S; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany.
  • Heinzlmeir S; German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Scherr J; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Hemmer B; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Baynham M; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany.
  • Gingras AC; German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Boychenko O; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Kuster B; Centre for Preventive and Sports Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Nat Commun ; 11(1): 157, 2020 01 09.
Article em En | MEDLINE | ID: mdl-31919466
ABSTRACT
Nano-flow liquid chromatography tandem mass spectrometry (nano-flow LC-MS/MS) is the mainstay in proteome research because of its excellent sensitivity but often comes at the expense of robustness. Here we show that micro-flow LC-MS/MS using a 1 × 150 mm column shows excellent reproducibility of chromatographic retention time (<0.3% coefficient of variation, CV) and protein quantification (<7.5% CV) using data from >2000 samples of human cell lines, tissues and body fluids. Deep proteome analysis identifies >9000 proteins and >120,000 peptides in 16 h and sample multiplexing using tandem mass tags increases throughput to 11 proteomes in 16 h. The system identifies >30,000 phosphopeptides in 12 h and protein-protein or protein-drug interaction experiments can be analyzed in 20 min per sample. We show that the same column can be used to analyze >7500 samples without apparent loss of performance. This study demonstrates that micro-flow LC-MS/MS is suitable for a broad range of proteomic applications.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatografia Líquida / Proteoma / Proteômica / Espectrometria de Massas em Tandem Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatografia Líquida / Proteoma / Proteômica / Espectrometria de Massas em Tandem Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha