← BioTransfer GEO Dataset Finder
GEO series

Succinate-GPR91 signaling promotes cardiomyocyte metabolic reprogramming and NAD⁺ production to alleviate HFpEF

GSE307669 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/02/20 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 × G91 HFpEF vs 4 × G91 HFpEF+SUC vs 4 × MG91 HFpEF vs 4 × MG91 HFpEF+SUCGroups 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
Succinate-GPR91 signaling promotes cardiomyocyte metabolic reprogramming and NAD(+) production to alleviate HFpEFCardiovascular diabetology · 2025
Summary (written by the submitters)
Disrupted cardiomyocyte energy metabolism underlies HFpEF. We found that cardiac succinate and GPR91 were reduced in HFpEF. In WT mice, succinate supplementation restored metabolism, improved diastolic function, and alleviated hypertrophy and fibrosis, whereas these benefits were abolished in global and cardiomyocyte-specific Gpr91 knockouts.
Read the full summary ↓
Transcriptomics and mechanistic studies revealed that succinate–GPR91 signaling activated AMPK via Gq, enhanced NAD⁺ production, and promoted glucose–lipid metabolic reprogramming. Thus, the succinate–GPR91 axis is essential for cardiometabolic regulation and represents a promising therapeutic target in HFpEF.
Published in
Succinate-GPR91 signaling promotes cardiomyocyte metabolic reprogramming and NAD(+) production to alleviate HFpEF
Jia Y, Niu W, Liu L et al. · Cardiovascular diabetology 2025 · PMID 41353145 · doi:10.1186/s12933-025-03030-x
This dataset
Open GSE307669 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 GSE307669_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 PRJNA1322494 and SRA study SRP618899. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41353145) ↗
Study design
4 × G91 HFpEF vs 4 × G91 HFpEF+SUC vs 4 × MG91 HFpEF vs 4 × MG91 HFpEF+SUC

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
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.