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Transcriptomic characterization of Wild type mouse Embryonic Stem Cells (mESCs), β-actin Knock out mESC and upon rescue with a nuclear localization signal β-actin

GSE327304 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2026/04/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 45 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
Mus musculus (mouse)
Samples
45 samples: 6 conditions, mostly with about 4 replicates eachGroups 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.
Summary (written by the submitters)
Pluripotency and lineage commitment in embryonic stem cells depend on coordinated regulation of chromatin architecture and extracellular matrix (ECM) signaling. Here, we identify nuclear β-actin as a key regulator linking these processes in mouse embryonic stem cells. Loss of β-actin disrupts core pluripotency factors, including Oct4 and Sox2, and causes broad transcriptional changes, while nuclear re-expression rescues these defects.
Read the full summary ↓
Chromatin accessibility analysis revealed reduced accessibility at regulatory regions of pluripotency genes, consistent with impaired chromatin remodeling. β-actin depletion also altered ECM-related gene expression, matrix properties, and cellular biomechanics, leading to impaired self-renewal, skewed lineage specification, and defective differentiation, particularly reduced neuronal potential and increased mesodermal-like fate bias. In vivo, β-actin loss restricted teratoma growth and compromised tri-lineage differentiation. Together, these results define nuclear β-actin as an important regulator of chromatin accessibility, ECM-dependent signaling, and stem cell fate.
This dataset
Open GSE327304 in finder → Find more mouse 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 GSE327304_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 PRJNA1450387 and SRA study SRP690063. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly with about 4 replicates each
WTD14 ×4 KOD14 ×4 NLSD14 ×4 WTD7 ×4 KOD7 ×4 NLSD7 ×4 WT D0 R1A ×1 KO D0 R1A ×1 +19 more

Supports a between-group comparison across 24 samples.

How we read this: 6 replicated groups read from 45 sample titles; they account for 24 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all mouse 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.