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Comparative Transcriptomic Analysis of Embryonic Hearts in Atf4 Exon 2 and Exon 2–3 Conditional Knockout Mice

GSE303929 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/02/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × RNA-seq of Atf4 exon2-3 Control mice E11.5 heart vs 4 × RNA-seq of Atf4 exon2-3 cKO mice E11.5 heart vs 4 × RNA-seq of Atf4 exon2 Control mice E11.5 heart vs 4 × RNA-seq of Atf4 exon2 cKO mice E11.5 heartGroups 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
Transcriptional readthrough at Atf4 locus suppresses Rps19bp1 and impairs heart developmentCardiovascular research · 2026
Summary (written by the submitters)
This dataset comprises RNA sequencing (RNA-seq) profiles of E11.5 embryonic hearts from two Atf4 conditional knockout (cKO) mouse models, targeting different exons of the gene. In one model, exons 2 and 3 were floxed and excised in cardiomyocytes using the Xmlc2-Cre driver, while the second model involved deletion of exon 2 only. The aim of this study is to determine whether Atf4 exon-targeting strategy influences transcriptomic outcomes and to evaluate the impact of ATF4 deficiency on early cardiac development.
Read the full summary ↓
RNA-seq was performed on ventricular tissues from both models and their respective littermate controls, each with four biological replicates. The dataset serves to clarify the necessity and function of ATF4 in the embryonic heart using refined conditional knockout strategies.
Published in
Transcriptional readthrough at Atf4 locus suppresses Rps19bp1 and impairs heart development
Zhang Z, Wu T, Chen Z et al. · Cardiovascular research 2026 · PMID 41248983 · doi:10.1093/cvr/cvaf237
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 GSE303929_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 PRJNA1298246 and SRA study SRP604415. Searching any of these in the dataset finder brings you back here.

Study design
4 × RNA-seq of Atf4 exon2-3 Control mice E11.5 heart vs 4 × RNA-seq of Atf4 exon2-3 cKO mice E11.5 heart vs 4 × RNA-seq of Atf4 exon2 Control mice E11.5 heart vs 4 × RNA-seq of Atf4 exon2 cKO mice E11.5 heart

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
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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.