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DIFFERENTIAL TEMPERATURE-INDUCED RESPONSES IN ORAL AND SKIN KERATINOCYTES

GSE289231 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/04/17 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
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.
Summary (written by the submitters)
The epidermis of skin and oral mucosa is constantly exposed to various environmental stimuli, including temperature changes. In particularly extreme conditions, such as excess heat or cold, significant injury may occur. Oral and skin keratinocytes exhibit tissue-specific differences in wound healing outcomes and the transcriptomic response to injury.
Read the full summary ↓
This study investigated if skin and oral keratinocytes also have differential responses to heat and cold-induced injury. Oral keratinocytes (TIGK) were found to exhibit an enhanced viability following heat-induced injury compared to skin keratinocytes (HaCaT). However, there were no discernible differences between skin and oral keratinocyte viability following cold-induced injury. To examine the transcriptomic differences between skin and oral keratinocytes in response to temperature-induced injury, we generated an mRNA-sequencing gene expression dataset. Differentially expressed genes (DEGs) including heat shock proteins (HSPs) were identified between HaCaT and TIGK at baseline (37°C) and after heat (60°C) or cold-induced (-25°C) injury. Our comparative analyses suggest that skin and oral keratinocytes exhibit transcriptomic differences at baseline and in their responses to heat or cold exposure. The enhanced heat tolerance of TIGK relative to HaCaT may be due to an advantageous expression of a subset of HSPs at baseline in TIGK. Our work also provides a source of skin and oral keratinocyte gene expression data following heat and cold-induced injury that can be used for future analyses.
This dataset
Open GSE289231 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 GSE289231_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 PRJNA1221942 and SRA study SRP563552. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
HaCaT 37C ×3 HaCaT -25C ×3 HaCaT 60C ×3 TIGK 37C ×3 TIGK -25C ×3 TIGK 60C ×3

Supports a between-group comparison across 18 samples.

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

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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.