ArticleMolecular immunology2015
B cell variable genes have evolved their codon usage to focus the targeted patterns of somatic mutation on the complementarity determining regions.
Article in Molecular immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- A Sitewise Model of Natural Selection on Individual Antibodies via a Transformer-Encoder.Molecular biology and evolution · 2025Article
- Combining mutation and recombination statistics to infer clonal families in antibody repertoires.eLife · 2024Article
- Germline-encoded specificities and the predictability of the B cell response.PLoS pathogens · 2023Article
- Clonal Characterization and Somatic Hypermutation Assessment by Next-Generation Sequencing in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma: A Detailed Description of the Technical Performance, Clinical Utility, and Platform Comparison.The Journal of molecular diagnostics : JMD · 2023Article
- Learning the statistics and landscape of somatic mutation-induced insertions and deletions in antibodies.PLoS computational biology · 2022Article
- Deep learning model of somatic hypermutation reveals importance of sequence context beyond hotspot targeting.iScience · 2022Article
- Chickens, more than humans, focus the diversity of their immunoglobulin genes on the complementarity-determining region but utilise amino acids, indicative of a more cross-reactive antibody repertoire.Frontiers in immunology · 2022Article
- Lost structural and functional inter-relationships between Ig and TCR loci in mammals revealed in sharks.Immunogenetics · 2021Review
- Learning the heterogeneous hypermutation landscape of immunoglobulins from high-throughput repertoire data.Nucleic acids research · 2020Article
- AID Overlapping and Polη Hotspots Are Key Features of Evolutionary Variation Within the Human Antibody Heavy Chain (IGHV) Genes.Frontiers in immunology · 2020Article
- Immunoglobulin gene analysis as a tool for investigating human immune responses.Immunological reviews · 2018Review
- Selection and Neutral Mutations Drive Pervasive Mutability Losses in Long-Lived Anti-HIV B-Cell Lineages.Molecular biology and evolution · 2018Article
- Somatic hypermutation of T cell receptor α chain contributes to selection in nurse shark thymus.eLife · 2018Article
- Beyond Hot Spots: Biases in Antibody Somatic Hypermutation and Implications for Vaccine Design.Frontiers in immunology · 2018Review
- Article
- Article
- The evolution within us.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The exceptional ability of B cells to diversify through somatic mutation and improve affinity of the repertoire toward the antigens is the cornerstone of adaptive immunity. Somatic mutation is not evenly distributed and exhibits certain micro-sequence specificities. We show here that the combination of somatic mutation targeting and the codon usage in human B cell receptor (BCR) Variable (V) genes create expected patterns of mutation and post mutation changes that are focused on their complementarity determining regions (CDR). T cell V genes are also skewed in targeting mutations but to a lesser extent and are lacking the codon usage bias observed in BCRs. This suggests that the observed skew in T cell receptors is due to their amino acid usage, which is similar to that of BCRs. The mutation targeting and the codon bias allow B cell CDRs to diversify by specifically accumulating nonconservative changes. We counted the distribution of mutations to CDR in 4 different human datasets. In all four cases we found that the number of actual mutations in the CDR correlated significantly with the V gene mutation biases to the CDR predicted by our models. Finally, it appears that the mutation bias in V genes indeed relates to their long-term survival in actual human repertoires. We observed that resting repertoires of B cells overexpressed V genes that were especially biased toward focused mutation and change in the CDR. This bias in V gene usage was somewhat relaxed at the height of the immune response to a vaccine, presumably because of the need for a wider diversity in a primary response. However, older patients did not retain this flexibility and were biased toward using only highly skewed V genes at all stages of their response.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.