Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
Artikel i vetenskaplig tidskrift, 2020
The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on ISO13485 standardization to facilitate simple implementation in regulated clinical laboratories. Our low-cost workflow handles up to 180 samples per day, enables high precision quantification, and reduces batch effects for large-scale and longitudinal studies. We use our platform on samples collected from a cohort of early hospitalized cases of the SARS-CoV-2 pandemic and identify 27 potential biomarkers that are differentially expressed depending on the WHO severity grade of COVID-19. They include complement factors, the coagulation system, inflammation modulators, and pro-inflammatory factors upstream and downstream of interleukin 6. All protocols and software for implementing our approach are freely available. In total, this work supports the development of routine proteomic assays to aid clinical decision making and generate hypotheses about potential COVID-19 therapeutic targets.
antiviral immune response
SWATH-MS
clinical classifiers
high-throughput proteomics
COVID-19 infection
mass spectrometry
Författare
Christoph B. Messner
The Francis Crick Institute
Vadim Demichev
The Francis Crick Institute
University of Cambridge
Daniel Wendisch
Charité Universitätsmedizin Berlin
Laura Michalick
Charité Universitätsmedizin Berlin
Matthew White
The Francis Crick Institute
Anja Freiwald
Charité Universitätsmedizin Berlin
Kathrin Textoris-Taube
Charité Universitätsmedizin Berlin
Spyros I. Vernardis
The Francis Crick Institute
Anna Sophia Egger
The Francis Crick Institute
Marco Kreidl
The Francis Crick Institute
Daniela Ludwig
Charité Universitätsmedizin Berlin
Christiane Kilian
Charité Universitätsmedizin Berlin
Federica Agostini
Charité Universitätsmedizin Berlin
Aleksej Zelezniak
The Francis Crick Institute
Chalmers, Biologi och bioteknik, Systembiologi
Charlotte Thibeault
Charité Universitätsmedizin Berlin
Moritz Pfeiffer
Charité Universitätsmedizin Berlin
Stefan Hippenstiel
Charité Universitätsmedizin Berlin
Andreas Hocke
Charité Universitätsmedizin Berlin
Christof von Kalle
Charité Universitätsmedizin Berlin
Archie Campbell
University of Edinburgh
Caroline Hayward
University of Edinburgh
David J. Porteous
University of Edinburgh
Riccardo E. Marioni
University of Edinburgh
C. Langenberg
University of Cambridge
The Francis Crick Institute
Kathryn S. Lilley
University of Cambridge
Wolfgang M. Kuebler
Charité Universitätsmedizin Berlin
Michael Mülleder
Charité Universitätsmedizin Berlin
C. Drosten
Charité Universitätsmedizin Berlin
Norbert Suttorp
Charité Universitätsmedizin Berlin
Martin Witzenrath
Charité Universitätsmedizin Berlin
Florian Kurth
Charité Universitätsmedizin Berlin
Leif Erik Sander
Charité Universitätsmedizin Berlin
M. Ralser
The Francis Crick Institute
Charité Universitätsmedizin Berlin
Cell Systems
24054712 (ISSN) 24054720 (eISSN)
Vol. 11 1 11-24.E4Ämneskategorier
Biomedicinsk laboratorievetenskap/teknologi
Mikrobiologi
Medicinsk bioteknologi
Programvaruteknik
Datorsystem
Styrkeområden
Hälsa och teknik
DOI
10.1016/j.cels.2020.05.012