Omics · study · 2026
Clonal lineage tracing reveals distinct invasive subpopulations in triple-negative breast cancer
Listed in NCBI GEO
Metastatic dissemination in triple negative breast cancer (TNBC) arises from extensive intratumoral heterogeneity, yet the clonal and transcriptional programs that underlie invasive behavior remain poorly defined.
Description
The field lacks experimental systems capable of simultaneously tracking clonal identity and transcriptional state of invasive subpopulations. Here, we apply a clonal lineage-tracing platform coupled with single-cell RNA sequencing, to resolve how subpopulations contribute to invasion in a model of TNBC.
We demonstrate that invasion is driven by a subset of recurrent clones, indicating the presence of pre-existing subpopulations intrinsically primed for migratory behavior. Transcriptomic profiling further reveals two transcriptomically distinct invasive cell-states that remain stable across independent selections. Targeted perturbations suppress these dominate invasive programs but enable invasion by alternative rare clones, demonstrating compensatory clonal dynamics in response to selective pressure.
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Together these findings show that invasive potential arises from stable clonal programs and that heterogenous tumors maintain invasive capacity through clonal replacement. Clonally resolved single-cell profiling provides a framework for dissecting invasive heterogeneity and highlights the need for therapeutic strategies that account for clone specific behaviors and the dynamic restructuring of tumor subpopulations.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329526 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329526 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1459420 ncbi.nlm.nih.gov/bioproject/PRJNA1459420 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329526 | 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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 (75%) |
| 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 |