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A flow cytometry-based assay for serological detection of anti-spike antibodies in COVID-19 patients.
Goh, Yun Shan; Ng, Lisa F P; Renia, Laurent.
  • Goh YS; Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.
  • Ng LFP; Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.
  • Renia L; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore.
STAR Protoc ; 2(3): 100671, 2021 09 17.
Article in English | MEDLINE | ID: covidwho-1275774
ABSTRACT
One of the key public health strategies in coronavirus 2019 disease (COVID-19) management is the early detection of infected individuals to limit the transmission. As a result, serological assays have been developed to complement PCR-based assays. Here, we report the development of a flow cytometry-based assay to detect antibodies against full-length SARS-CoV-2 spike protein (S protein) in patients with COVID-19. The assay is time-efficient and sensitive, being able to capture the wider repertoire of antibodies against the S protein. For complete details on the use and execution of this protocol, please refer to Goh et al. (2021).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Enzyme-Linked Immunosorbent Assay / Antibodies, Neutralizing / Spike Glycoprotein, Coronavirus / Flow Cytometry / COVID-19 Serological Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: STAR Protoc Year: 2021 Document Type: Article Affiliation country: J.xpro.2021.100671

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Enzyme-Linked Immunosorbent Assay / Antibodies, Neutralizing / Spike Glycoprotein, Coronavirus / Flow Cytometry / COVID-19 Serological Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: STAR Protoc Year: 2021 Document Type: Article Affiliation country: J.xpro.2021.100671