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Microscopy‐based assay for semi‐quantitative detection of SARS‐CoV‐2 specific antibodies in human sera
Author(s) -
Pape Constantin,
Remme Roman,
Wolny Adrian,
Olberg Sylvia,
Wolf Steffen,
Cerrone Lorenzo,
Cortese Mirko,
Klaus Severina,
Lucic Bojana,
Ullrich Stephanie,
AndersÖsswein Maria,
Wolf Stefanie,
Cerikan Berati,
Neufeldt Christopher J.,
Ganter Markus,
Schnitzler Paul,
Merle Uta,
Lusic Marina,
Boulant Steeve,
Stanifer Megan,
Bartenschlager Ralf,
Hamprecht Fred A.,
Kreshuk Anna,
Tischer Christian,
Kräusslich HansGeorg,
Müller Barbara,
Laketa Vibor
Publication year - 2021
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.202000257
Subject(s) - serology , antibody , virology , biology , virus , proteome , covid-19 , coronavirus , immune system , immunology , computational biology , medicine , infectious disease (medical specialty) , bioinformatics , disease , pathology
Abstract Emergence of the novel pathogenic coronavirus SARS‐CoV‐2 and its rapid pandemic spread presents challenges that demand immediate attention. Here, we describe the development of a semi‐quantitative high‐content microscopy‐based assay for detection of three major classes (IgG, IgA, and IgM) of SARS‐CoV‐2 specific antibodies in human samples. The possibility to detect antibodies against the entire viral proteome together with a robust semi‐automated image analysis workflow resulted in specific, sensitive and unbiased assay that complements the portfolio of SARS‐CoV‐2 serological assays. Sensitive, specific and quantitative serological assays are urgently needed for a better understanding of humoral immune response against the virus as a basis for developing public health strategies to control viral spread. The procedure described here has been used for clinical studies and provides a general framework for the application of quantitative high‐throughput microscopy to rapidly develop serological assays for emerging virus infections.