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

2405-4712 (eISSN)

Vol. 11 1 11-24.E4

Ämneskategorier

Biomedicinsk laboratorievetenskap/teknologi

Mikrobiologi

Medicinsk bioteknologi

Programvaruteknik

Datorsystem

Styrkeområden

Hälsa och teknik

DOI

10.1016/j.cels.2020.05.012

Mer information

Senast uppdaterat

2020-08-14