Omics · study · 2026
Spatially-Resolved Multiomic Atlas of Leiomyosarcoma Identifies Two Clinically Relevant Epigenetically-Driven Cell States [scMultiomic]
Listed in NCBI GEO
Leiomyosarcoma (LMS) is a malignant smooth muscle tumor characterized by substantial clinical and molecular heterogeneity.
Description
To investigate the cellular and regulatory landscape of LMS at single-cell resolution, we performed single-nucleus multiome sequencing to jointly profile gene expression (snRNA-seq) and chromatin accessibility (snATAC-seq) in 16 untreated primary leiomyosarcoma tumors arising from retroperitoneal, extremity, and uterine sites.
After quality control, 94,439 nuclei were analyzed, revealing diverse tumor and microenvironmental cell populations including macrophages, T cells, and endothelial cells. Malignant cells segregated predominantly into two major transcriptional and epigenetic states: a dedifferentiated mesenchymal-like subtype (MES) and a differentiated smooth muscle cell–like subtype (SMC). Integration of transcriptomic and chromatin accessibility profiles identified distinct regulatory programs underlying these states, including enrichment of NFI transcription factor motifs in MES cells and AP-1 family motifs in SMC cells.
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These data provide a comprehensive multiomic resource for understanding tumor heterogeneity and regulatory mechanisms in leiomyosarcoma.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE324nnn/GSE324206 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324206 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1372071 ncbi.nlm.nih.gov/bioproject/PRJNA1372071 ↗
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 65% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE324206 | 12 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 (65%) |
| 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:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |