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Multicenter Collaborative Study to Optimize Mass Spectrometry Workflows of Clinical Specimens.
Kardell, Oliver; von Toerne, Christine; Merl-Pham, Juliane; König, Ann-Christine; Blindert, Marcel; Barth, Teresa K; Mergner, Julia; Ludwig, Christina; Tüshaus, Johanna; Eckert, Stephan; Müller, Stephan A; Breimann, Stephan; Giesbertz, Pieter; Bernhardt, Alexander M; Schweizer, Lisa; Albrecht, Vincent; Teupser, Daniel; Imhof, Axel; Kuster, Bernhard; Lichtenthaler, Stefan F; Mann, Matthias; Cox, Jürgen; Hauck, Stefanie M.
Afiliação
  • Kardell O; Metabolomics and Proteomics Core (MPC), Helmholtz Zentrum München,German Research Center for Environmental Health (GmbH), Munich 80939, Germany.
  • von Toerne C; Metabolomics and Proteomics Core (MPC), Helmholtz Zentrum München,German Research Center for Environmental Health (GmbH), Munich 80939, Germany.
  • Merl-Pham J; Metabolomics and Proteomics Core (MPC), Helmholtz Zentrum München,German Research Center for Environmental Health (GmbH), Munich 80939, Germany.
  • König AC; Metabolomics and Proteomics Core (MPC), Helmholtz Zentrum München,German Research Center for Environmental Health (GmbH), Munich 80939, Germany.
  • Blindert M; Metabolomics and Proteomics Core (MPC), Helmholtz Zentrum München,German Research Center for Environmental Health (GmbH), Munich 80939, Germany.
  • Barth TK; Clinical Protein Analysis Unit (ClinZfP), Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Großhaderner Straße 9, Martinsried 82152, Germany.
  • Mergner J; Bavarian Center for Biomolecular Mass Spectrometry at Klinikum Rechts der Isar (BayBioMS@MRI), Technical University of Munich, Munich 80333, Germany.
  • Ludwig C; Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS), TUM School of Life Sciences, Technical University of Munich, Freising 85354, Germany.
  • Tüshaus J; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising 85354, Germany.
  • Eckert S; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising 85354, Germany.
  • Müller SA; German Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.
  • Breimann S; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich 81675, Germany.
  • Giesbertz P; German Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.
  • Bernhardt AM; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich 81675, Germany.
  • Schweizer L; German Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.
  • Albrecht V; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich 81675, Germany.
  • Teupser D; German Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.
  • Imhof A; Department of Neurology, Ludwig-Maximilians-Universität München, Munich 80539, Germany.
  • Kuster B; Department of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried 82152, Germany.
  • Lichtenthaler SF; Department of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried 82152, Germany.
  • Mann M; Institute of Laboratory Medicine, University Hospital, LMU Munich, Munich 81377, Germany.
  • Cox J; Clinical Protein Analysis Unit (ClinZfP), Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Großhaderner Straße 9, Martinsried 82152, Germany.
  • Hauck SM; Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS), TUM School of Life Sciences, Technical University of Munich, Freising 85354, Germany.
J Proteome Res ; 23(1): 117-129, 2024 01 05.
Article em En | MEDLINE | ID: mdl-38015820
ABSTRACT
The foundation for integrating mass spectrometry (MS)-based proteomics into systems medicine is the development of standardized start-to-finish and fit-for-purpose workflows for clinical specimens. An essential step in this pursuit is to highlight the common ground in a diverse landscape of different sample preparation techniques and liquid chromatography-mass spectrometry (LC-MS) setups. With the aim to benchmark and improve the current best practices among the proteomics MS laboratories of the CLINSPECT-M consortium, we performed two consecutive round-robin studies with full freedom to operate in terms of sample preparation and MS measurements. The six study partners were provided with two clinically relevant sample matrices plasma and cerebrospinal fluid (CSF). In the first round, each laboratory applied their current best practice protocol for the respective matrix. Based on the achieved results and following a transparent exchange of all lab-specific protocols within the consortium, each laboratory could advance their methods before measuring the same samples in the second acquisition round. Both time points are compared with respect to identifications (IDs), data completeness, and precision, as well as reproducibility. As a result, the individual performances of participating study centers were improved in the second measurement, emphasizing the effect and importance of the expert-driven exchange of best practices for direct practical improvements.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasma / Espectrometria de Massas em Tandem Idioma: En Revista: J Proteome Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasma / Espectrometria de Massas em Tandem Idioma: En Revista: J Proteome Res Ano de publicação: 2024 Tipo de documento: Article