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SARS-CoV-2 multi-antigen protein microarray for detailed characterization of antibody responses in COVID-19 patients
Alev Celikgil; Aldo B Massimi; Antonio Nakouzi; Natalia G Herrera; Nicholas C Morano; James H Lee; Hyun ah Yoon; Scott J Garforth; Steven C Almo.
Affiliation
  • Alev Celikgil; Albert Einstein College of Medicine
  • Aldo B Massimi; Albert Einstein College of Medicine
  • Antonio Nakouzi; Albert Einstein College of Medicine
  • Natalia G Herrera; Albert Einstein College of Medicine
  • Nicholas C Morano; Albert Einstein College of Medicine
  • James H Lee; Albert Einstein College of Medicine
  • Hyun ah Yoon; Albert Einstein College of Medicine
  • Scott J Garforth; Albert Einstein College of Medicine
  • Steven C Almo; Albert Einstein College of Medicine
Preprint in English | bioRxiv | ID: ppbiorxiv-512324
ABSTRACT
Antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) target multiple epitopes on different domains of the spike protein, and other SARS-CoV-2 proteins. We developed a SARS-CoV-2 multi-antigen protein microarray with the nucleocapsid, spike and its domains (S1, S2), and variants with single (D614G, E484K, N501Y) or double substitutions (N501Y/Deletion69/70), allowing a more detailed high-throughput analysis of the antibody repertoire following infection. The assay was demonstrated to be reliable and comparable to ELISA. We analyzed antibodies from 18 COVID-19 patients and 12 recovered convalescent donors. S IgG level was higher than N IgG in most of the COVID-19 patients, receptor-binding domain of S1 showed high reactivity, but no antibodies were detected against heptad repeat domain 2 of S2. Furthermore, antibodies were detected against S variants with single and double substitutions in COVID-19 patients who were infected with SARS-CoV-2 early in the pandemic. Here we demonstrated that SARS-CoV-2 multi-antigen protein microarray is a powerful tool for detailed characterization of antibody responses, with potential utility in understanding the disease progress and assessing current vaccines and therapies against evolving SARS-CoV-2.
License
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2022 Document type: Preprint
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