← BioTransfer GEO Dataset Finder
GEO series

TGFβ-Dependent Epithelial–Mesenchymal Plasticity in Immortalized Human Atrial Epicardial Cells: An mRNA Profiling Study

GSE330909 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2026/07/23 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 6 conditions, mostly in triplicateGroups 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
TGFβ-Dependent Epithelial-Mesenchymal Plasticity in Immortalized Human Atrial Epicardial Cells: An mRNA Profiling StudyCells · 2026
Summary (written by the submitters)
The adult mammalian heart exhibits limited regenerative capacity, and a stable adult human in vitro model for investigating epicardial activation remain limited. Here, we isolated human epicardium-derived cells from the adult heart auricle. Successful immortalization led to the generation of a stable immortalized epicardium-derived cell (iEPDC) population, allowing the investigation of intercellular dynamics upon EMT activation. TGFβ signalling was modulated using SB431542 or TGFβ3.
Published in
TGFβ-Dependent Epithelial-Mesenchymal Plasticity in Immortalized Human Atrial Epicardial Cells: An mRNA Profiling Study
Nowak K, Schramm R, Kaltschmidt B et al. · Cells 2026 · PMID 42505420 · doi:10.3390/cells15141313
This dataset
Open GSE330909 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 GSE330909_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 PRJNA1465896 and SRA study SRP700372. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42505420) ↗
Study design
6 conditions, mostly in triplicate
iEPDCs_SB431542_MD ×3 iEPDCs_NoAdditive_MD ×3 iEPDCs_TGFβ3_MD ×3 iEPDCs_SB431542_FD ×2 iEPDCs_NoAdditive_FD ×2 iEPDCs_TGFβ3_FD ×2

Supports a between-group comparison across 15 samples.

How we read this: 6 replicated groups read from 15 sample titles; they account for 15 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.