ArticleFrontiers in immunology2020
AID Overlapping and Polη Hotspots Are Key Features of Evolutionary Variation Within the Human Antibody Heavy Chain (IGHV) Genes.
Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 35 citations in OpenAlex.
- HNRNPU mutations redirect cell cycle control to E2F in MYC-driven lymphomas.Blood advances · 2026Article
- R-loop disruption triggers irreversible topoisomerase 1-DNA cleavage complex formation during AID-dependent IgH gene diversification.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Nucleotide context models outperform protein language models for predicting antibody affinity maturation.PLoS computational biology · 2025Article
- Nucleotide context models outperform protein language models for predicting antibody affinity maturation.bioRxiv : the preprint server for biology · 2025Article
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- A Sitewise Model of Natural Selection on Individual Antibodies via a Transformer-Encoder.Molecular biology and evolution · 2025Article
- Human naïve B cells show evidence of anergy and clonal redemption following vaccination.NPJ vaccines · 2025Article
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- Eliciting a single amino acid change by vaccination generates antibody protection against group 1 and group 2 influenza A viruses.Immunity · 2024Article
- Unveiling the multifaceted landscape of N-glycosylation in antibody variable domains: Insights and implications.International journal of biological macromolecules · 2024Article
- Modular cytosine base editing promotes epigenomic and genomic modifications.Nucleic acids research · 2024Article
- Interpretable deep learning reveals the role of an E-box motif in suppressing somatic hypermutation of AGCT motifs within human immunoglobulin variable regions.Frontiers in immunology · 2024Article
- Sequence dependencies and mutation rates of localized mutational processes in cancer.Genome medicine · 2023Article
- Molecular genetic aberrations in the pathogenesis of multiple myeloma.Asian biomedicine : research, reviews and news · 2023Review
- Ancestral reconstruction reveals catalytic inactivation of activation-induced cytidine deaminase concomitant with cold water adaption in the Gadiformes bony fish.BMC biology · 2022Article
- Immunoglobulin somatic hypermutation in a defined biochemical system recapitulates affinity maturation and permits antibody optimization.Nucleic acids research · 2022Article
- Promoter Proximity Defines Mutation Window for VJournal of immunology (Baltimore, Md. : 1950) · 2022Article
- Deep learning model of somatic hypermutation reveals importance of sequence context beyond hotspot targeting.iScience · 2022Article
- Evidence of somatic hypermutation in the antigen binding sites of patients with CLL harboring IGHV genes with 100% germline identity.Frontiers in oncology · 2022Article
- The role of HIRA-dependent H3.3 deposition and its modifications in the somatic hypermutation of immunoglobulin variable regions.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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5 authors at 4 institutions in 2 countries.
Funding
Abstract
Somatic hypermutation (SHM) of the immunoglobulin variable (IgV) loci is a key process in antibody affinity maturation. The enzyme activation-induced deaminase (AID), initiates SHM by creating C → U mismatches on single-stranded DNA (ssDNA). AID has preferential hotspot motif targets in the context of WRC/GYW (W = A/T, R = A/G, Y = C/T) and particularly at WGCW overlapping hotspots where hotspots appear opposite each other on both strands. Subsequent recruitment of the low-fidelity DNA repair enzyme, Polymerase eta (Polη), during mismatch repair, creates additional mutations at WA/TW sites. Although there are more than 50 functional immunoglobulin heavy chain variable (IGHV) segments in humans, the fundamental differences between these genes and their ability to respond to all possible foreign antigens is still poorly understood. To better understand this, we generated profiles of WGCW hotspots in each of the human IGHV genes and found the expected high frequency in complementarity determining regions (CDRs) that encode the antigen binding sites but also an unexpectedly high frequency of WGCW in certain framework (FW) sub-regions. Principal Components Analysis (PCA) of these overlapping AID hotspot profiles revealed that one major difference between IGHV families is the presence or absence of WGCW in a sub-region of FW3 sometimes referred to as "CDR4." Further differences between members of each family (e.g., IGHV1) are primarily determined by their WGCW densities in CDR1. We previously suggested that the co-localization of AID overlapping and Polη hotspots was associated with high mutability of certain IGHV sub-regions, such as the CDRs. To evaluate the importance of this feature, we extended the WGCW profiles, combining them with local densities of Polη (WA) hotspots, thus describing the co-localization of both types of hotspots across all IGHV genes. We also verified that co-localization is associated with higher mutability. PCA of the co-localization profiles showed CDR1 and CDR2 as being the main contributors to variance among IGHV genes, consistent with the importance of these sub-regions in antigen binding. Our results suggest that AID overlapping (WGCW) hotspots alone or in conjunction with Polη (WA/TW) hotspots are key features of evolutionary variation between IGHV genes.
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