ArticleFrontiers in immunology2023
Mapping the splicing landscape of the human immune system.
Article in Frontiers in immunology, 2023. 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.
- Comprehensive assessment of alternative splicing analysis methods for single-cell RNA-seq.iScience · 2026Article
- Native long-read RNA sequencing of human monocytes reveals activation-induced alternative splicing toward functional isoforms.Nature communications · 2026Article
- Steering research on mRNA splicing in cancer towards clinical translation.Nature reviews. Cancer · 2024Review
- Get Spliced: Uniting Alternative Splicing and Arthritis.International journal of molecular sciences · 2024Review
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Authors and funding
5 authors.
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Abstract
Most human genes code for more than one transcript. Different ratios of transcripts of the same gene can be found in different cell types or states, indicating differential use of transcription start sites or differential splicing. Such differential transcript use (DTUs) events provide an additional layer of regulation and protein diversity. With the exceptions of PTPRC and CIITA, there are very few reported cases of DTU events in the immune system. To rigorously map DTUs between different human immune cell types, we leveraged four publicly available RNA sequencing datasets. We identified 282 DTU events between five human healthy immune cell types that appear in at least two datasets. The patterns of the DTU events were mostly cell-type-specific or lineage-specific, in the context of the five cell types tested. DTUs correlated with the expression pattern of potential regulators, namely, splicing factors and transcription factors. Of the several immune related conditions studied, only sepsis affected the splicing of more than a few genes and only in innate immune cells. Taken together, we map the DTUs landscape in human peripheral blood immune cell types, and present hundreds of genes whose transcript use changes between cell types or upon activation.
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