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Antibody Binding Epitope Mapping (AbMap) of Hundred Antibodies in a Single Run.
- Source :
-
Molecular & cellular proteomics : MCP [Mol Cell Proteomics] 2021; Vol. 20, pp. 100059. Date of Electronic Publication: 2021 Feb 11. - Publication Year :
- 2021
-
Abstract
- Antibodies play essential roles in both diagnostics and therapeutics. Epitope mapping is essential to understand how an antibody works and to protect intellectual property. Given the millions of antibodies for which epitope information is lacking, there is a need for high-throughput epitope mapping. To address this, we developed a strategy, Antibody binding epitope Mapping (AbMap), by combining a phage displayed peptide library with next-generation sequencing. Using AbMap, profiles of the peptides bound by 202 antibodies were determined in a single test, and linear epitopes were identified for >50% of the antibodies. Using spike protein (S1 and S2)-enriched antibodies from the convalescent serum of one COVID-19 patient as the input, both linear and potentially conformational epitopes of spike protein specific antibodies were identified. We defined peptide-binding profile of an antibody as the binding capacity (BiC). Conceptually, the BiC could serve as a systematic and functional descriptor of any antibody. Requiring at least one order of magnitude less time and money to map linear epitopes than traditional technologies, AbMap allows for high-throughput epitope mapping and creates many possibilities.<br />Competing Interests: Conflict of interest The authors declare no conflicts of interest.<br /> (Copyright © 2021. Published by Elsevier Inc.)
- Subjects :
- Antibodies, Monoclonal immunology
Antibodies, Monoclonal metabolism
Antibodies, Viral metabolism
Enzyme-Linked Immunosorbent Assay
Epitopes metabolism
Escherichia coli Proteins immunology
High-Throughput Nucleotide Sequencing
Humans
Immune Sera blood
Immune Sera immunology
Peptide Library
COVID-19 immunology
Epitope Mapping methods
Spike Glycoprotein, Coronavirus immunology
Subjects
Details
- Language :
- English
- ISSN :
- 1535-9484
- Volume :
- 20
- Database :
- MEDLINE
- Journal :
- Molecular & cellular proteomics : MCP
- Publication Type :
- Academic Journal
- Accession number :
- 33109704
- Full Text :
- https://doi.org/10.1074/mcp.RA120.002314