← BioTransfer GEO Dataset Finder
GEO series

Diabetes-Induced Hearing Loss via Next-Generation Sequencing Research Model

GSE303895 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/08/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Diabetic Hyperglycemia Induces Region-Specific Transcriptomic Remodeling in the CochleaGenes · 2026
Summary (written by the submitters)
Emerging evidence implicates the cochlea as a potential site of injury, yet the underlying molecular mechanisms remain poorly defined. In this study, we employed a streptozotocin (STZ)-induced type 1 diabetic mouse model to investigate cochlear dysfunction and region-specific transcriptomic alterations. Auditory brainstem response testing revealed significant hearing threshold elevation and reduced outer hair cell function in diabetic mice.
Read the full summary ↓
RNA sequencing of microdissected cochlear regions including modiolus, lateral wall, and organ of corti, identified hundreds of differentially expressed genes per region, with the lateral wall exhibiting the most extensive transcriptional changes.
Published in
Diabetic Hyperglycemia Induces Region-Specific Transcriptomic Remodeling in the Cochlea
Chang TY, Wu CT, Chung FL et al. · Genes 2026 · PMID 42510876 · doi:10.3390/genes17070836
This dataset
Open GSE303895 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 GSE303895_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 PRJNA1298182 and SRA study SRP604238. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42510876) ↗
Study design
6 conditions, mostly in triplicate
lateral wall of corti, control ×3 modiolus of corti, control ×3 organ of corti, control ×3 lateral wall of corti, STZ-induced diabetes ×3 modiolus of corti, STZ-induced diabetes ×3 organ of corti, STZ-induced diabetes ×3

Supports a case/control comparison: 9 samples read as cases, 9 as controls.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.