Splicing-aware scRNA-Seq resolution reveals execution-ready programs in effector Tregs
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
41212920
PubMed Central
PMC12646427
DOI
10.1371/journal.pcbi.1013682
PII: PCOMPBIOL-D-24-02030
Knihovny.cz E-zdroje
- MeSH
- analýza genové exprese jednotlivých buněk MeSH
- analýza jednotlivých buněk * metody MeSH
- forkhead transkripční faktory genetika metabolismus MeSH
- lidé MeSH
- messenger RNA genetika metabolismus MeSH
- regulační T-lymfocyty * metabolismus MeSH
- sekvenční analýza RNA * metody MeSH
- sekvenování transkriptomu * metody MeSH
- sestřih RNA * genetika MeSH
- výpočetní biologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- forkhead transkripční faktory MeSH
- messenger RNA MeSH
Single-cell RNA sequencing (scRNA-Seq) provides valuable insights into cell biology. However, current scRNA-Seq analytic approaches do not distinguish between spliced and unspliced mRNA at the level of dimensionality reduction. RNA velocity paradigm suggests that the presence of unspliced mRNA reflects transitional cell states, informative for studies of dynamic processes such as embryogenesis or tissue regeneration. Alternatively, stable cell subsets may also maintain translationally repressed spliced mRNA (e.g., in P-bodies) and/or unspliced mRNA reservoirs for prompt initiation of transcription-independent expression. Thus, functional cell subsets may differ not only in the current levels of actively produced mRNAs, but also in which mRNAs and in what forms are stored in the nucleus and cytoplasm. To enable splicing-aware analysis of scRNA-Seq data, we developed a method called SANSARA (Splicing-Aware scrNa-Seq AppRoAch). We employed SANSARA to characterize peripheral blood regulatory T cell (Treg) subsets, revealing a complementary interplay between the FOXP3 and Helios master transcription factors and high levels of spliced IL10RA, LGALS3, FCRL3, CD38, ITGAL, and LEF1 mRNAs in effector Tregs. Among Th1 and cytotoxic CD4+ T cell subsets, SANSARA also revealed substantial splicing heterogeneity across subset-specific genes. SANSARA is straightforward to implement in current data analysis pipelines and opens new dimensions for scRNA-Seq-based discoveries.
Abu Dhabi Stem Cell Center Al Muntazah United Arab Emirates
Center for Molecular and Cellular Biology Moscow Russia
Central European Institute of Technology Brno Czech Republic
Faculty of Bioengineering and Bioinformatics Lomonosov Moscow State University Moscow Russia
Institute of Clinical Molecular Biology Kiel University Kiel Germany
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