← BioTransfer GEO Dataset Finder
GEO series

RNA seq in sensitive A2780 epithelial ovarian cancer cell with FLYWCH1 knockdown and resistant cells with FLYWCH1 overexpression.

GSE273904 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/03/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 samples: 2 × A2780 shFLYWCH1 vs 2 × A2780cis 3xFLAG vs 2 × A2780cis FLYWCH1Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Identification of FLYWCH1 as a regulator of platinum-resistance in epithelial ovarian cancerNAR cancer · 2025
Summary (written by the submitters)
RNAseq in sensitive A2780 cells with shRNA induced knockdown of FLYWCH1 and resistant A2780cis cells with induced overexpression of FLYWCH1.
Published in
Identification of FLYWCH1 as a regulator of platinum-resistance in epithelial ovarian cancer
Fullstone TL, Rohm H, Kaltofen T et al. · NAR cancer 2025 · PMID 40191655 · doi:10.1093/narcan/zcaf012
This dataset
Open GSE273904 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE273904_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1143573 and SRA study SRP523977. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40191655) ↗
Study design
2 × A2780 shFLYWCH1 vs 2 × A2780cis 3xFLAG vs 2 × A2780cis FLYWCH1

Supports a between-group comparison across 6 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 6 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.