> Details
Pape, Constantin
[Author];
Remme, Roman
[Author];
Wolny, Adrian
[Author];
Olberg, Sylvia
[Author];
Wolf, Steffen
[Author];
Cerrone, Lorenzo
[Author];
Cortese, Mirko
[Author];
Klaus, Severina
[Author];
Lucic, Bojana
[Author];
Ullrich, Stephanie
[Author];
Anders-Ößwein, Maria
[Author];
Wolf, Stefanie
[Author];
Cerikan, Berati
[Author];
Neufeldt, Christopher
[Author];
Ganter, Markus
[Author];
Schnitzler, Paul
[Author];
Merle, Uta
[Author];
Lusic, Marina
[Author];
Boulant, Steeve
[Author];
Stanifer, Megan
[Author];
Bartenschlager, Ralf
[Author];
Hamprecht, Fred
[Author];
Kreshuk, Anna
[Author];
Tischer, Christian
[Author];
[...]
Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera
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- Media type: E-Article
- Title: Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera
- Contributor: Pape, Constantin [VerfasserIn]; Remme, Roman [VerfasserIn]; Wolny, Adrian [VerfasserIn]; Olberg, Sylvia [VerfasserIn]; Wolf, Steffen [VerfasserIn]; Cerrone, Lorenzo [VerfasserIn]; Cortese, Mirko [VerfasserIn]; Klaus, Severina [VerfasserIn]; Lucic, Bojana [VerfasserIn]; Ullrich, Stephanie [VerfasserIn]; Anders-Ößwein, Maria [VerfasserIn]; Wolf, Stefanie [VerfasserIn]; Cerikan, Berati [VerfasserIn]; Neufeldt, Christopher [VerfasserIn]; Ganter, Markus [VerfasserIn]; Schnitzler, Paul [VerfasserIn]; Merle, Uta [VerfasserIn]; Lusic, Marina [VerfasserIn]; Boulant, Steeve [VerfasserIn]; Stanifer, Megan [VerfasserIn]; Bartenschlager, Ralf [VerfasserIn]; Hamprecht, Fred [VerfasserIn]; Kreshuk, Anna [VerfasserIn]; Tischer, Christian [VerfasserIn]; Kräusslich, Hans-Georg [VerfasserIn]; Müller, Barbara [VerfasserIn]; Laketa, Vibor [VerfasserIn]
- imprint: 2021
- Published in: Bioessays ; 43(2021), 3, Artikel-ID 2000257, Seite 1-15
- Language: English
- DOI: 10.1002/bies.202000257
- ISSN: 1521-1878
- Identifier:
- Keywords: antibody ; immunofluorescence ; machine learning image analysis ; quantitative microscopy ; SARS-CoV-2 ; serological test
- Origination:
-
Footnote:
First published: 30 December 2020
- Description: 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.
- Access State: Open Access