← BioTransfer GEO Dataset Finder
GEO series

snoRNA Snord3 promotes rheumatoid arthritis by epigenetic regulation of ESM1 in fibroblast-like synoviocytes in mice

GSE309533 Homo sapiens (human) RNA-seq (gene expression) 11 samples Submitted 2025/09/30 Platform GPL18460
At a glance

RNA-seq (gene expression) · human · 11 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
11 samples: 3 × RA-FLSs cells, OE_Vecto vs 3 × RA-FLSs cells, OE_SNORD3 vs 3 × RA-FLSs cells, SH_SNORD3 vs 2 × RA-FLSs cells, SH-VectoGroups 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
snoRNA Snord3 promotes rheumatoid arthritis by epigenetic regulation of ESM1 in fibroblast-like synoviocytes in miceScience translational medicine · 2025
Summary (written by the submitters)
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by systemic inflammation, synovial hyperplasia, and the destruction of bone and cartilage. Despite the use of various immunosuppressive disease-modifying antirheumatic drugs (DMARDs), a considerable proportion of RA patients remain symptomatic. As RA progresses, fibroblast-like synoviocytes (FLSs) undergo a phenotypic transition to an aggressive state, making them attractive non-immune cellular targets for RA treatment.
Read the full summary ↓
However, there are currently no clinically available therapies that selectively ablate RA-FLSs due to the lack of specific molecular targets. Our research focuses on the knockdown and overexpression of the SNORD3 gene in RA-FLSs. SNORD3 is expressed in the cell of RA-FLSs and plays a crucial role in their aggressive transition. By specific knockout or overexpression of NCL, we observed significant aggressive transformations of RA-FLS.
Published in
snoRNA Snord3 promotes rheumatoid arthritis by epigenetic regulation of ESM1 in fibroblast-like synoviocytes in mice
Huang J, Fu X, Zhang R et al. · Science translational medicine 2025 · PMID 41223251 · doi:10.1126/scitranslmed.adt5340
This dataset
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.

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 GSE309533_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1336225 and SRA study SRP629571. Searching any of these in the dataset finder brings you back here.

Study design
3 × RA-FLSs cells, OE_Vecto vs 3 × RA-FLSs cells, OE_SNORD3 vs 3 × RA-FLSs cells, SH_SNORD3 vs 2 × RA-FLSs cells, SH-Vecto

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.