Omics · study · 2026
Comprehensive transcriptome and epigenome profiling of A2780 models reveals distinct programs of cisplatin, paclitaxel, and dual resistance
Listed in NCBI GEO
Ovarian cancer is the most lethal gynecologic cancer, largely because most patients eventually relapse after initially responding to platinum- and taxane-based chemotherapy.
Description
To understand how cancer cells adapt to these drugs, we generated cisplatin-resistant (CpR), paclitaxel-resistant (TxR), and dual-resistant (TxCpR) derivatives from the parental A2780 cell line and profiled their transcriptomes and chromatin landscapes using RNA-seq and ATAC-seq.
The three resistant lines displayed distinct cellular morphologies, gene expression profiles, and chromatin accessibility patterns. Notably, the dual-resistant state was not simply a combination of the cisplatin- and paclitaxel-resistant states but instead represented a unique regulatory configuration. Integrative analysis of RNA-seq and ATAC-seq identified potential regulators associated with specific drug-resistance of A2780.
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Furthermore, we suggested resistance-specific distal regulatory regions highly related with transcription factors either directly or indirectly involved in cancer progression, cell plasticity and chemotherapy resistance. Our paired RNA-seq and ATAC-seq datasets provide valuable and comprehensive resources for exploring how enhancer–transcription factor interactions drive chemotherapy resistance and for identifying new therapeutic targets in ovarian cancer.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE310nnn/GSE310043 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE310043 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1365056 ncbi.nlm.nih.gov/bioproject/PRJNA1365056 ↗
project · from NCBI GEO
Topics
- Stated by source
- Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE310043 | 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: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: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 |