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Atf3 Deficiency Promotes Mesodermal Commitment and Enhances Endothelial Differentiation in Embryonic Stem Cells

GSE306049 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/09/05 Platform GPL16173
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 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.
Summary (written by the submitters)
Ischemic disease has become a major threat to global health, and endothelial cells (ECs) damage is closely associated with its occurrence and development. Cell therapies to repair the endothelium has thus become a treatment approach of great interest, but obtaining clinically approved ECs for such therapies has not been fully established.
Read the full summary ↓
One possible approach for obtaining ECs from stem cells may be by modulating activating transcription factor three (Atf3) expression; however, its precise involvement in ECs development and differentiation from stem cells remains unclear. In this study, we aimed to elucidate the potential role of Atf3 in embryonic stem cells (ESCs)-to-ECs differentiation.
This dataset
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.

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 GSE306049_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1309020 and SRA study SRP610415. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
Mes cells day 0 ×3 Mes cells day 3 ×3 Mes cells day 6 ×3 Mes cells day 9 ×3 Atf3 KO Mes cells day 0 ×3 Atf3 KO Mes cells day 3 ×3 Atf3 KO Mes cells day 6 ×3 Atf3 KO Mes cells day 9 ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 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
Datasets on a similar topic

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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.