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Simulated microgravity models sex differences in knee osteoarthritis through a CD36-regulated mechano-metabolic circuit

GSE300617 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/04/05 Platform GPL30172
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: 18 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
Simulated microgravity models sex differences in knee osteoarthritis through a CD36-regulated mechano-metabolic circuitCell communication and signaling : CCS · 2026
Summary (written by the submitters)
Leveraging the unique conditions of space microgravity, our research offers groundbreaking insights into osteoarthritis (OA), a degenerative joint disease impacting over three million Canadians and predominantly affecting load-bearing joints such as the knee. With knee OA (KOA) known for its higher incidence and severity among females—a phenomenon not fully explained by existing risk factors—the application of simulated microgravity (SMG) presents a novel approach to understanding the disease's progression and the biological sex differences in response to it.
Read the full summary ↓
By employing rotating wall vessel (RWV) technology to simulate spaceflight conditions on Earth, our studies focus on the biomechanical unloading experienced in microgravity, which has been observed to induce OA-like changes in articular tissues. This innovative research strategy allows us to explore the potential mechanisms of OA development and progression in a controlled environment, mimicking the microgravity of space to provide new perspectives on the disease's molecular underpinnings. Initial results from our investigations reveal that SMG significantly alters the molecular expression profiles in engineered meniscus constructs derived from non-KOA patients, notably influencing genes related to chondrocyte hypertrophy and OA progression while downregulating protective genes. Further analysis has illuminated sex-specific molecular responses to SMG, demonstrating pronounced differences between male and female specimens. This highlights the importance of considering biological sex in OA research, as it significantly influences disease development and response to microgravity conditions. Extended RNA sequencing under SMG conditions has identified distinct molecular signatures for different sex-based groups, pointing towards an OA-like transcriptome profile in females particularly responsive to SMG. One of the most significant findings from our microgravity studies is the modulation of CD36, a transmembrane protein implicated in lipid metabolism and OA pathogenesis. Its altered expression under SMG conditions and known upregulation in KOA patients underscore the potential mechanisms by which microgravity-induced cellular responses can mimic and inform us about OA development, particularly in terms of sex-specific disparities.
Published in
Simulated microgravity models sex differences in knee osteoarthritis through a CD36-regulated mechano-metabolic circuit
Ma Z, Lin H, Young D et al. · Cell communication and signaling : CCS 2026 · PMID 41832555 · doi:10.1186/s12964-026-02800-8
This dataset
Open GSE300617 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 GSE300617_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 PRJNA1281568 and SRA study SRP594231. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41832555) ↗
Study design
18 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 6 samples read as cases, 12 as controls.

How we read this: Read from 18 sample titles: 18 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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