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Comparative Analysis of Oral and Skin Keratinocytes Responses to Oxidative Stress

GSE308958 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/03/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
12 samples: 3 × Hctrl vs 3 × Hhp vs 3 × Tctrl vs 3 × ThpGroups 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
Response of Oral and Skin Keratinocytes to Oxidative StressCells · 2026
Summary (written by the submitters)
Oxidative stress caused by excessive reactive oxygen species (ROS) disrupts skin and oral epithelial homeostasis and contributes to skin aging, inflammation, periodontitis, and mucosal injury. As the principal defenders in both tissues, keratinocytes may exhibit divergent responses to oxidative stress. However, most existing studies have examined skin or oral keratinocytes in isolation, with few comparative investigations of their tolerance, repair capacity, and antioxidant mechanisms under oxidative stress.
Read the full summary ↓
In this study, we systematically compared immortalized oral keratinocytes (TIGK) and skin keratinocytes (HaCaT) under hydrogen peroxide (H₂O₂)–induced oxidative stress. Functional analyses, including cell survival, ROS accumulation, wound healing, and proliferation recovery assays, were combined with transcriptomic profiling to evaluate differences in antioxidant and pro-oxidant systems. TIGK exhibited significantly higher survival rates, lower ROS accumulation, and superior migratory and proliferative recovery compared with HaCaT after oxidative insult. Transcriptomic analysis further revealed that TIGK consistently expressed higher levels of antioxidant genes and enzymes. In contrast, HaCaT showed greater ROS accumulation and relatively limited antioxidant defenses. Oral and skin keratinocytes adopt distinct adaptive mechanisms under oxidative stress. The intrinsic redox advantage of oral keratinocytes provides new insights into their rapid wound-healing capacity and may inform strategies to enhance epithelial resilience.
Published in
Response of Oral and Skin Keratinocytes to Oxidative Stress
Zhang Y, Han C, Yuan H et al. · Cells 2026 · PMID 41597175 · doi:10.3390/cells15020097
This dataset
Open GSE308958 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 GSE308958_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 PRJNA1333478 and SRA study SRP625657. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41597175) ↗
Study design
3 × Hctrl vs 3 × Hhp vs 3 × Tctrl vs 3 × Thp

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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