Splicing-aware scRNA-Seq resolution reveals execution-ready programs in effector Tregs
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F25%3A00143904" target="_blank" >RIV/00216224:14740/25:00143904 - isvavai.cz</a>
Výsledek na webu
<a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013682" target="_blank" >https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013682</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pcbi.1013682" target="_blank" >10.1371/journal.pcbi.1013682</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Splicing-aware scRNA-Seq resolution reveals execution-ready programs in effector Tregs
Popis výsledku v původním jazyce
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 paradigms suggest 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 in processing bodies (P-bodies) and/or unspliced mRNA reservoirs for prompt initiation of transcription-independent expression. 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 upregulation of functionally relevant IL10RA, LGALS3, FCRL3, CD38, ITGAL, and LEF1 spliced gene forms 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.
Název v anglickém jazyce
Splicing-aware scRNA-Seq resolution reveals execution-ready programs in effector Tregs
Popis výsledku anglicky
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 paradigms suggest 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 in processing bodies (P-bodies) and/or unspliced mRNA reservoirs for prompt initiation of transcription-independent expression. 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 upregulation of functionally relevant IL10RA, LGALS3, FCRL3, CD38, ITGAL, and LEF1 spliced gene forms 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10608 - Biochemistry and molecular biology
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Plos Computational Biology
ISSN
1553-734X
e-ISSN
1553-7358
Svazek periodika
21
Číslo periodika v rámci svazku
11
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
17
Strana od-do
1-17
Kód UT WoS článku
001611256300002
EID výsledku v databázi Scopus
2-s2.0-105023069535