Omics · study · 2026
Single cell multiomics unravel the transcription networks controlling the different EMT tumor states
Listed in NCBI GEO
Epithelial-to-mesenchymal transition (EMT) is a process by which cells lose their epithelial characteristics and acquire mesenchymal traits.
Description
In cancer, EMT is associated with tumor initiation, progression, invasion, metastasis and resistance to therapy. Recent studies demonstrated that EMT is not a binary switch, but presents intermediate states associated with different tumor functions.
The gene regulatory networks (GRNs) controlling the different EMT states remain elusive. Here, using multi-OMIC approaches combining single cell RNA-seq and single cell ATAC-seq, we define the transcriptomic and chromatin landscape associated with the distinct EMT states in mouse skin squamous cell carcinoma (SCC) exhibiting EMT. Using CRISPR/Cas9-mediated loss of function studies combined with functional characterization in vitro and in vivo, we unravel the cellular and molecular mechanisms regulated by Pitx1, Klf5, Nfatc1 and Creb3l1, transcription factors (TFs) controlling specific EMT states.
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Altogether, our results identify the transcriptional and chromatin landscape of the distinct EMT tumor states and uncover novel key TFs controlling these states and their transition, providing potential novel targets for anti-cancer therapy.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE288nnn/GSE288137 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE288137 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1216265 ncbi.nlm.nih.gov/bioproject/PRJNA1216265 ↗
project · from NCBI GEO
- PubMed 42436193 pubmed.ncbi.nlm.nih.gov/42436193 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE288137 | 13 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[modality].local:modality: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 |
| 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 |