Omics · study · 2026
Comprehensive transcriptome and epigenome profiling of A2780 models reveals distinct programs of cisplatin, paclitaxel, and dual resistance [RNA-seq]
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/GSE310042 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE310042 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1365051 ncbi.nlm.nih.gov/bioproject/PRJNA1365051 ↗
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 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE310042 | 14 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 (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 |