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Role of FGF21 in cardiac hypertrophyII

GSE267618 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2025/02/28 Platform GPL24247
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 × Heart, TAC, 8 weeks, CM_FGF21, vs 5 × Heart, TAC, 8 weeks, HEP_FGF21, vs 4 × Heart, TAC, 8 weeks, Ctrl,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
Hepato-cardiac interorgan communication controls cardiac hypertrophy via combined endocrine-autocrine FGF21 signalingCell reports. Medicine · 2025
Summary (written by the submitters)
Fibroblast Growth Factor (FGF) 21 is a hormone produced mainly by the liver but also other organs, including the heart. FGF21 analogs are used for treating obesity and metabolic syndrome in humans. In this study, we explored involvement of FGF21 in cardiac hypertrophy. Our mouse studies in wild type mice as well as in mice with either hepatocyte-specific or cardiomyocyte-specific FGF21 ablation demonstrated an interorgan liver-heart crosstalk mechanism, which is controlled by initial hepatic FGF21 release followed by induction of cardiomyocyte FGF21 expression.
Read the full summary ↓
Conclusively, a hepato-cardiac FGF21-based signaling axis governs cardiac hypertrophy.
Published in
Hepato-cardiac interorgan communication controls cardiac hypertrophy via combined endocrine-autocrine FGF21 signaling
Mia S, Siokatas G, Sidiropoulou R et al. · Cell reports. Medicine 2025 · PMID 40339570 · doi:10.1016/j.xcrm.2025.102125
This dataset
Open GSE267618 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 GSE267618_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 PRJNA1106030 and SRA study SRP504694. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40339570) ↗
Study design
5 × Heart, TAC, 8 weeks, CM_FGF21, vs 5 × Heart, TAC, 8 weeks, HEP_FGF21, vs 4 × Heart, TAC, 8 weeks, Ctrl,

Supports a between-group comparison across 14 samples.

How we read this: 3 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
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.