Omics · study · 2026
T-bet and Runx3 orchestrate effector CD8 T cell differentiation and lineage fidelity through cooperative and distinct chromatin regulatory mechanisms [Multi-omics]
Listed in NCBI GEO
Effector CD8+ T cells must rapidly acquire cytotoxic functions while maintaining lineage fidelity and suppressing alternative fates.
Description
T-bet and Runx3 are key transcription factors that drive this process, yet their integrated regulatory logic has remained unclear due to the lack of comprehensive binding and chromatin accessibility data. Here, we systematically dissect the cooperative and distinct roles of T-bet and Runx3 in shaping the transcriptional and epigenetic landscape of antiviral CD8+ T cells.
Using CUT&RUN, ATAC-seq, RNA-seq and scRNA-seq across single and double knockout models, we reveal that T-bet and Runx3 coordinate effector differentiation through both chromatin remodeling-dependent and -independent mechanisms. T-bet preferentially binds promoters and restrains Th17-like programs, while Runx3 targets distal elements to suppress Tfh-associated genes and sustain cytotoxic identity. Our findings uncover a cis-regulatory logic wherein these factors act combinatorially to balance activation of effector programs with repression of alternative lineages, ensuring functional precision during antiviral responses.
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This work establishes a comprehensive framework for understanding lineage enforcement by transcription factors in effector T cells. This SuperSeries is composed of the SubSeries listed below.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342312 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342312 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1507333 ncbi.nlm.nih.gov/bioproject/PRJNA1507333 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Genome binding/occupancy profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE342312 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |