ArticleNAR genomics and bioinformatics2025
T2T-CHM13 versus hg38: accurate identification of immunoglobulin isotypes from scRNA-seq requires a genome reference matched for ancestry.
Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Assessing Hardy-Weinberg equilibrium in T2T-aligned 1000 genomes project.PLoS genetics · 2026Article
- Accessing medically relevant complex regions with a pangenome graph of 20 near-complete Japanese haplotypes.Nature communications · 2026Article
- African Pan Genome Contigs Expose Biologically Relevant Sequence Still Hidden from Human Reference Frameworks.bioRxiv : the preprint server for biology · 2026Article
- IMGTNAR genomics and bioinformatics · 2025Article
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Authors and funding
5 authors.
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Abstract
Antibody production by B cells is essential for protective immunity. The clonal selection theory posits that each mature B cell has a unique immunoglobulin receptor generated through random gene recombination and, when stimulated to differentiate into an antibody-secreting cell, has the capacity to produce only a single antibody specificity. It follows from this 'one-cell-one-antibody' dogma that single-cell RNA-seq profiling of antibody-secreting cells should find that each cell expresses only a single form of each of the immunoglobulin heavy and light chains. However, when using GRCh38 as the genome reference, we found that many antibody-secreting cells appeared to express multiple immunoglobulin isotypes. When the newly published T2T-CHM13 genome was used instead as the genome reference, every antibody-secreting cell was found to express a unique isotype, and read mapping quality was also improved. We show that the superior performance of T2T-CHM13 was due to its European origin matching the genetic background of the query samples. On the other hand, T2T-CHM13 failed to appropriately fit the 'one-cell-one-antibody' dogma when applied to data derived from East Asia. Our results show that read assignment to human immunoglobulin isotype genes is very sensitive to the ancestral origin of the genome reference.
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