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Dysregulation of adipocytokines regulated by hsa-miR-548ay-3p/PPARγ signaling pathway leaded to cardiac fibrosis

GSE288419 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/01/30 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × VEC_CM vs 3 × OE_CM vs 3 × TGF_VEC_CM vs 3 × TGF_KD_CMGroups 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
Dysregulation of adipocytokines via the hsa-miR-548ay-3p/PPARγ signaling pathway leads to cardiac fibrosisScientific reports · 2025
Summary (written by the submitters)
Cardiac fibrosis is the key to the onset of atrial fibrillation (AF), but the mechanism is not fully understood. Our previous study found that fibrosis-related adipocytokines were dysregulated in epicardial adipose tissue (EAT) from patients with AF. In this study, we explored the factor that induce adipocytokines dysregulation and the mechanism underlying adipocytokines dysregulation-induced cardiac fibrosis.
Published in
Dysregulation of adipocytokines via the hsa-miR-548ay-3p/PPARγ signaling pathway leads to cardiac fibrosis
Chen Y, Fang C, Liu W et al. · Scientific reports 2025 · PMID 40739110 · doi:10.1038/s41598-025-11324-z
This dataset
Open GSE288419 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 GSE288419_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 PRJNA1217406 and SRA study SRP560752. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40739110) ↗
Study design
3 × VEC_CM vs 3 × OE_CM vs 3 × TGF_VEC_CM vs 3 × TGF_KD_CM

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.