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Titel:

Multicenter Collaborative Study to Optimize Mass Spectrometry Workflows of Clinical Specimens

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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.
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...     »
Stichworte:
BayBioMS; CSF; LC–MS; R package mpwR; clinical specimen; data-dependent acquisition; data-independent acquisition; interlaboratory; intralaboratory; mass spectrometry; plasma; round-robin study.
Zeitschriftentitel:
Journal of Proteome Research
Jahr:
2023
Volltext / DOI:
doi:10.1021/acs.jproteome.3c00473
Verlag / Institution:
American Chemical Society (ACS)
E-ISSN:
1535-38931535-3907
Publikationsdatum:
28.11.2023
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