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YAP Induces a Pro-Renewal Metabolic State in Cardiomyocytes: Cardiomyocyte-enriched Datasets

GSE291780 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2026/03/09 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 5 × Control vs 4 × MEF2A vs 3 × YAP5SA vs 2 × YAP5SA_MEF2AGroups 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
YAP Induces a Prorenewal Metabolic State in CardiomyocytesCirculation · 2026
Summary (written by the submitters)
Cardiomyocyte (CM) maturation is characterized by a change in energy metabolism from glucose to fatty acid catabolism, which poses a barrier to CM proliferation and cardiac regenerative repair. YAP, a transcriptional cofactor that is regulated by the Hippo signaling pathway, induces cardiac regenerative repair. We investigated YAP function in postnatal metabolic maturation and remodeling and found that YAP inhibits fatty acid catabolism and shifts fatty acid catabolism to anabolism with phospholipid biosynthesis.
Read the full summary ↓
Moreover, YAP induced metabolic remodeling enhances CM carbohydrate utilization. Functional experiments using maternal dietary fat challenge, which stimulates fatty acid oxidation (FAO) and induces CM maturation, counteracts YAP-induced metabolic remodeling. Mechanistically, we discover that YAP inhibits the MEF2A directed maturation program leading to a neonatal-like CM metabolic state. We provide a transcriptional framework by which YAP induces neonatal CM metabolic remodeling to reverse CM metabolic maturation, thereby promoting heart regeneration.
Published in
YAP Induces a Prorenewal Metabolic State in Cardiomyocytes
Liu L, Steimle JD, Tsai CR et al. · Circulation 2026 · PMID 41797725 · doi:10.1161/CIRCULATIONAHA.125.074956
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 GSE291780_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 PRJNA1235232 and SRA study SRP569911. Searching any of these in the dataset finder brings you back here.

Study design
5 × Control vs 4 × MEF2A vs 3 × YAP5SA vs 2 × YAP5SA_MEF2A

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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.