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  Multicenter Collaborative Study to Optimize Mass Spectrometry Workflows of Clinical Specimens

Kardell, O., von Toerne, C., Merl-Pham, J., Koenig, A.-C., Blindert, M., Barth, T. K., et al. (2024). Multicenter Collaborative Study to Optimize Mass Spectrometry Workflows of Clinical Specimens. Journal of Proteome Research, 23(1), 117-129. doi:10.1021/acs.jproteome.3c00473.

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 Creators:
Kardell, Oliver1, Author
von Toerne, Christine1, Author
Merl-Pham, Juliane1, Author
Koenig, Ann-Christine1, Author
Blindert, Marcel1, Author
Barth, Teresa K.1, Author
Mergner, Julia1, Author
Ludwig, Christina1, Author
Tueshaus, Johanna1, Author
Eckert, Stephan1, Author
Mueller, Stephan A.1, Author
Breimann, Stephan1, Author
Giesbertz, Pieter1, Author
Bernhardt, Alexander M.1, Author
Schweizer, Lisa2, 3, Author           
Albrecht, Vincent2, 3, Author           
Teupser, Daniel1, Author
Imhof, Axel1, Author
Kuster, Bernhard1, Author
Lichtenthaler, Stefan F.1, Author
Mann, Matthias2, Author           Cox, Jürgen4, Author           Hauck, Stefanie M.1, Author more..
Affiliations:
1external, ou_persistent22              
2Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
3IMPRS-ML: Martinsried, Max Planck Institute of Biochemistry, Max Planck Society, Am Klopferspitz 18, 82152 Martinsried, DE, ou_3531125              
4Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              

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Free keywords: DATA-INDEPENDENT ACQUISITION; PROTEOMICS; QUALITYBiochemistry & Molecular Biology; round-robin study; clinicalspecimen; LC-MS; mass spectrometry; data-dependent acquisition; data-independent acquisition; R package mpwR; interlaboratory; intralaboratory; CSF; plasma;
 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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Language(s): eng - English
 Dates: 2023-11-282024-01-05
 Publication Status: Issued
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Journal of Proteome Research
  Other : J. Proteome Res.
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Chemical Society
Pages: - Volume / Issue: 23 (1) Sequence Number: - Start / End Page: 117 - 129 Identifier: ISSN: 1535-3893
CoNE: https://pure.mpg.de/cone/journals/resource/111019664290000