ArticleImmunoinformatics (Amsterdam, Netherlands)2025
Is the vaccination-induced B cell receptor repertoire predictable?
Article in Immunoinformatics (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026Article
- AI-Driven BCR Modeling for Precision Immunology.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Vaccines trigger an immune response that results in a population of memory cells that can quickly respond to subsequent antigen re-encounters. Most vaccines are designed to induce memory B cells with vaccine-specific B cell receptors (BCRs). Post-vaccination, clonal expansion of B cells results in measurably expanded vaccine-specific BCR clonotypes. We set out to determine to what extent it is predictable which specific BCR clonotypes are vaccine-induced in an individual. We sequenced the BCR heavy chain repertoire in a cohort of 19 individuals prior- and 7 days post Tdap booster vaccination. We tested two modalities to predict which clonotypes were expanded post-vaccination: first, we utilized a small database of monoclonal antibodies with known specificity to Tdap vaccine antigens and tested various sequence look-up methods, identifying clonal look-up as the best method. We then utilized a leave-one-out approach in which expanded clonotypes in one individual were predicted using data from other members of the cohort. The second approach significantly outperformed the first, indicating that BCR clonotype expansion can be learned across subjects. These results support the utility of systematically collecting BCR specificity data through efforts like the Immune Epitope database and highlight the limitations on general prediction approaches resulting from relatively small dataset sizes for BCRs with known specificities. Additionally, our study provides 1) a comparison of several BCR specificity prediction methods, 2) a dataset that can be used for benchmarking of subsequent methods, and 3) a methodological framework for comparing BCR repertoires pre- and post-vaccination.
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.