Abstract
Rhesus macaques (RMs) are a vital model for studying human disease and are invaluable to preclinical vaccine research, particularly for the study of broadly neutralizing antibody responses. Such studies require robust genetic resources for antibody-encoding genes within the immunoglobulin (IG) loci. The complexity of the IG loci has historically made them challenging to characterize accurately. To address this, we developed experimental and computational methodologies to generate a collection of integrated antibody repertoire and long-read genomic sequencing data in 106 Indian-origin RMs. We created a resource of IG heavy- and light-chain variable (V), diversity (D), and joining (J) alleles, as well as leader, intronic, and recombination signal sequences (RSSs). This includes the curation of 1,095 previously unidentified alleles, unveiling tremendous diversity and expanding existing IG allele sets by 40%. This publicly available, continually updated resource (https://vdjbase.org/reference_book/Rhesus_Macaque) provides the foundation for advancing RM immunogenomics, vaccine discovery, and translational research.
| Original language | English |
|---|---|
| Pages (from-to) | 213-228.e6 |
| Journal | Immunity |
| Volume | 59 |
| Issue number | 1 |
| DOIs | |
| State | Published - 13 Jan 2026 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s)
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- B cell receptor
- HIV
- antibodies
- broadly neutralizing antibodies
- database
- genomics
- germline inference
- immunoglobulins
- repertoire
- rhesus macaque
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