Omics · study · 2026
Identification of a silencer-like non-coding RNA transcribed from a region on the super-enhancer conferring B-cell lymphomagenesis
Listed in NCBI GEO
Super-enhancers (SEs) orchestrate lineage-specific transcriptional programs and are frequently co-opted in cancer to sustain oncogenic gene expression.
Description
However, the functional complexity of SE-derived non-coding RNAs in B-cell lymphoma remains poorly understood. Here, we identify a lymphoma-specific SE located between the RGS1 and RGS13 loci (RGS-SE) through integrative in silico analysis of diffuse large B-cell lymphoma (DLBCL) enhancer landscapes.
CRISPR/Cas9-mediated deletion of RGS-SE markedly impaired proliferation of Burkitt lymphoma cells and suppressed xenograft tumor growth, establishing its oncogenic relevance. Capture Hi-C revealed physical interactions between RGS-SE and the promoters of both RGS1 and RGS13, indicating a cis-regulatory architecture. Unexpectedly, transcriptomic analyses demonstrated that RGS-SE deletion increased RGS1 expression while modestly affecting RGS13, suggesting non-canonical regulatory activity.
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We further identified an SE-derived non-coding RNA (RGS-ncRNA) whose site-specific induction suppressed RGS1 transcription, whereas CRISPR interference modestly de-repressed it. Chromatin profiling revealed enrichment of H3K27me3 and PRC2 components within the RGS-ncRNA-coding region, consistent with silencer-like properties. Collectively, our findings uncover an oncogenic SE-ncRNA axis that functions not only as a classical enhancer but also as a PRC2-associated repressive module, expanding the conceptual framework of SE biology.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE324nnn/GSE324867 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324867 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1438025 ncbi.nlm.nih.gov/bioproject/PRJNA1438025 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE324867 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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[organism].NCBITaxon:9606 | 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 |