GEO series

Multi-omics Analysis and Evidence of IL1R1 as a Potential Biomarker for Diabetes-related Intervertebral Disc Degeneration

GSE305927 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2025/10/27 Platform GPL28330

At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 2 samples
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: Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degenerationFrontiers in immunology · 2025

Summary (written by the submitters)

This study employs 10x Genomics single-cell RNA sequencing (scRNA-seq) to profile cellular changes within the intervertebral discs of diabetic mice. Diabetes mellitus is a systemic inflammatory disease known to drive pathological alterations in multiple organ systems. Here, we specifically investigate the process of diabetes-induced intervertebral disc degeneration. Our findings aim to provide novel insights into the pathogenic mechanisms underlying disc degeneration.

Published in

Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration

Yi M, Lin W, Liu S et al. · Frontiers in immunology 2025 · PMID 41169383 · doi:10.3389/fimmu.2025.1692185

This dataset

Open GSE305927 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 GSE305927_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1308467 and SRA study SRP610141. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41169383) ↗

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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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.