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Cold exposure promotes the progression of osteoarthritis through downregulating APOE in cartilage

GSE296344 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/08/20 Platform GPL16791
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: 12 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
Cold exposure promotes the progression of osteoarthritis through downregulating APOE in cartilageEMBO molecular medicine · 2025
Summary (written by the submitters)
Osteoarthritis (OA) is a degenerative joint disease with limited effective therapies. Cold weathers have been shown to affect joint pain in OA patients. However, the impact of cold climate on OA progression is debated, with the underlying mechanisms not fully understood. To investigate the mechanisms by which low temperatures exacerbate OA, RNA sequencing on human chondrocytes cultured at 33 °C and 37 °C was performed.
Read the full summary ↓
The gene expression in non-OA region chondrocytes and OA region chondrocytes at 33 °C was compared to that at 37 °C. The Apoe gene was identified as a temperature-relevant gene associated with exacerbation of osteoarthritis. Apoe expression was downregulated in both OA and non-OA chondrocytes cultured at 33°C compared to their 37°C counterparts.
Published in
Cold exposure promotes the progression of osteoarthritis through downregulating APOE in cartilage
Zhang Y, Fu M, Zhou C et al. · EMBO molecular medicine 2025 · PMID 40664892 · doi:10.1038/s44321-025-00268-6
This dataset
Open GSE296344 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 GSE296344_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 PRJNA1258954 and SRA study SRP583196. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40664892) ↗
Study design
12 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 12 sample titles: 12 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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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.