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Transcription factor TFEB antagonizes cardiac hypertrophy and failure by enhancing lysosomal capacity and mitochondrial function

GSE322779 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/05/11 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 × Mus musculus left ventricule, WT, Sham, vs 4 × Mus musculus left ventricule, WT, Transverse Aortic Constriction, vs 4 × Mus musculus left ventricule, cKO-TFEB, Sham, vs 4 × Mus musculus left ventricule, cKO-TFEB, Transverse Aortic Constriction,Groups 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
TFEB Antagonizes Cardiac Hypertrophy and Failure by Enhancing Lysosomal Capacity and Mitochondrial FunctionCirculation research · 2026
Summary (written by the submitters)
Pathological cardiac remodeling and increased afterload-driven demand contribute to heart failure. TFEB is a key regulator of lysosomal genes and mitochondrial function and is activated in response to external stress. To elucidate TFEB-dependent transcriptional programs under hypertrophic stress, we profiled left ventricular transcriptomes from a cardiomyocyte-specific TFEB knockout mouse model subjected to transverse aortic constriction (TAC) or sham surgery, with wild-type littermate controls, followed by downstream multi-omics integration.
Published in
TFEB Antagonizes Cardiac Hypertrophy and Failure by Enhancing Lysosomal Capacity and Mitochondrial Function
Daou D, Das Gupta S, Anand A et al. · Circulation research 2026 · PMID 42299666 · doi:10.1161/CIRCRESAHA.125.328083
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 GSE322779_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 PRJNA1431462 and SRA study SRP680696. Searching any of these in the dataset finder brings you back here.

Study design
4 × Mus musculus left ventricule, WT, Sham, vs 4 × Mus musculus left ventricule, WT, Transverse Aortic Constriction, vs 4 × Mus musculus left ventricule, cKO-TFEB, Sham, vs 4 × Mus musculus left ventricule, cKO-TFEB, Transverse Aortic Constriction,

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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