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Yiqi Huoxue Yangyin Decoction alleviates diabetic nephropathy by attenuating podocyte injury via the METTL3-m6A-mTOR pathway to activate autophagy

GSE315612 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/05/15 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: 4 × Kidney, db/m control, vs 4 × Kidney, db/db diabetic model, vs 4 × Kidney, db/db YHY-treated,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
Yiqi Huoxue Yangyin Decoction attenuates diabetic nephropathy in db/db mice by modulating METTL3-mediated m6A methylation of mTOR to restore podocyte autophagyFrontiers in pharmacology · 2026
Summary (written by the submitters)
This study employed RNA-seq to profile the transcriptomic changes in the renal cortex of diabetic nephropathy (DN) mouse models and to investigate the regulatory effects of the traditional Chinese medicine formula Yiqi Huoxue Yangyin Decoction (YHY). Kidney cortex tissues were collected from diabetic db/db mice and non-diabetic db/m control mice.
Read the full summary ↓
Db/db mice were further divided into two groups: one treated with YHY and one vehicle-treated. Each group contained biological replicates (n=4).* Total RNA was extracted, and paired-end sequencing was performed on the Illumina NovaSeq 6000 platform. Differential gene expression analysis was conducted to identify genes and pathways altered by diabetes and modulated by YHY treatmen
Published in
Yiqi Huoxue Yangyin Decoction attenuates diabetic nephropathy in db/db mice by modulating METTL3-mediated m6A methylation of mTOR to restore podocyte autophagy
He J, Niu W, Qian J et al. · Frontiers in pharmacology 2026 · PMID 42016924 · doi:10.3389/fphar.2026.1783423
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 GSE315612_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 PRJNA1398323 and SRA study SRP659789. Searching any of these in the dataset finder brings you back here.

Study design
4 × Kidney, db/m control, vs 4 × Kidney, db/db diabetic model, vs 4 × Kidney, db/db YHY-treated,

Supports a case/control comparison: 4 samples read as cases, 4 as controls.

How we read this: 3 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
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