Deciphering the antigen specificities of antibodies by clustering their complementarity determining region sequences

mSystems. 2023 Dec 21;8(6):e0072223. doi: 10.1128/msystems.00722-23. Epub 2023 Nov 17.

Abstract

Determining antigen and epitope specificity is an essential step in the discovery of therapeutic antibodies as well as in the analysis adaptive immune responses to disease or vaccination. Despite extensive efforts, deciphering antigen specificity solely from BCR amino acid sequence remains a challenging task, requiring a combination of experimental and computational approaches. Here, we describe and experimentally validate a simple and straightforward approach for grouping antibodies that share antigen and epitope specificities based on their CDR sequence similarity. This approach allows us to identify the specificities of a large number of antibodies whose antigen targets are unknown, using a small fraction of antibodies with well-annotated binding specificities.

Keywords: B cell receptor; SARS-CoV-2; antibody; antigen-specific; clustering; diphtheria; pertussis; repertoire; single-cell immune profile; tetanus.

MeSH terms

  • Antibodies* / chemistry
  • Antigens / chemistry
  • Cluster Analysis
  • Complementarity Determining Regions* / genetics
  • Epitopes / chemistry
  • Immunity

Substances

  • Complementarity Determining Regions
  • Antibodies
  • Antigens
  • Epitopes