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METTL3 in Diabetic Cardiomyopathy

GSE252044 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/12/25 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 4 × Heart, HFD+STZ+AAV METTL3 vs 4 × Heart, HFD+STZ vs 3 × Heart, ChowGroups 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.
Summary (written by the submitters)
To investigate the role of METTL3 in diabetic cardiomyopathy, 6-week-old mice were fed either a chow diet or high-fat diet (HFD) for 18 weeks followed by low doses of STZ injections, some of the mice were then injected with AAV expressing control or METTL3 in cardiomyocytes for 8 weeks. We then performed gene expression profiling analysis using data obtained from RNA-seq.
This dataset
Open GSE252044 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 GSE252044_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 PRJNA1057185 and SRA study SRP480175. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × Heart, HFD+STZ+AAV METTL3 vs 4 × Heart, HFD+STZ vs 3 × Heart, Chow

Supports a between-group comparison across 11 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 11 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.