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Oxidative stress-regulatory role of miR-10b-5p in the diabetic human cornea revealed through integrated multi-omics analysis

GSE292721 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/07/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
Homo sapiens (human)
Samples
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Oxidative stress-regulatory role of miR-10b-5p in the diabetic human cornea revealed through integrated multi-omics analysisDiabetologia · 2026
Summary (written by the submitters)
The corneal epithelium is maintained by limbal epithelial stem cells (LESCs) and are largely responsible for corneal optical transparency and protection by continuous population of corneal epithelial cells. Diabetes mellitus (DM) has been shown to affect all structures of the eye including the cornea which can result in delayed wound healing and potential vision loss.
Read the full summary ↓
MicroRNAs (miRNAs) are short non-coding oligonucleotides that regulate various cellular functions, including oxidative stress response, by repressing translation. miR-10b-5p was previously identified to be upregulated in diabetic vs. non-diabetic limbal cells and our purpose was to understand the role of miR-10b-5p in human limbal epithelial cells in normal and pathological conditions such as diabetes mellitus. It was hypothesized that miR-10b-5p influences corneal epithelial homeostasis by modulating antioxidant defenses and wound healing processes. Through integrated transcriptomic and proteomic analyses, we identified GCLM and LANCL1 as key miR-10b-5p targets, revealing its profound impact on glutathione metabolism, sulfur compound biosynthesis processes, and antioxidant defenses. Our finding suggests that miR-10b suppression disrupts redox balance which potentially leads to heightened oxidative stress, impaired wound healing and increased cellular vulnerability in diabetic corneas. Further research into miR-10b inhibitors or gene modulation strategies may pave the way for novel treatments aimed at mitigating oxidative stress-related corneal dysfunction, particularly in diabetes-induced ocular diseases.
Published in
Oxidative stress-regulatory role of miR-10b-5p in the diabetic human cornea revealed through integrated multi-omics analysis
Zha D, Gamez J, Ebrahimi SM et al. · Diabetologia 2026 · PMID 41115935 · doi:10.1007/s00125-025-06558-5
This dataset
Open GSE292721 in finder → Find more human 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 GSE292721_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 PRJNA1241141 and SRA study SRP572808. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41115935) ↗
Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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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