Single-cell RNA sequencing of stem cell–like memory T (Tscm) cells from rheumatoid arthritis patients and healthy controls
Single-cell RNA-seq · human · 11 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 11 samples: 6 × sorted Tscm cells, RA vs 5 × sorted Tscm cells, HCGroups 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
- JAK-STAT3-MYC axis defines pathogenic stem cell-like memory CD4(+) T cells in rheumatoid arthritisClinical immunology (Orlando, Fla.) · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE309906_RAW.tar (it can run to tens of gigabytes).
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: 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 PRJNA1363977 and SRA study SRP644508. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 2 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.
- GSM9284685 sorted Tscm cells, HC1 sorted Tscm cells, HC
- GSM9284686 sorted Tscm cells, HC2 sorted Tscm cells, HC
- GSM9284687 sorted Tscm cells, HC3 sorted Tscm cells, HC
- GSM9284688 sorted Tscm cells, HC4 sorted Tscm cells, HC
- GSM9284689 sorted Tscm cells, HC5 sorted Tscm cells, HC
- GSM9284690 sorted Tscm cells, RA1 sorted Tscm cells, RA
- GSM9284691 sorted Tscm cells, RA2 sorted Tscm cells, RA
- GSM9284692 sorted Tscm cells, RA3 sorted Tscm cells, RA
- GSM9284693 sorted Tscm cells, RA4 sorted Tscm cells, RA
- GSM9284694 sorted Tscm cells, RA5 sorted Tscm cells, RA
- GSM9284695 sorted Tscm cells, RA6 sorted Tscm cells, RA
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares single-cell, rheumatoid, arthritis
- GSE233321 Single-cell map of the healthy human immune system across the lifespan reveals unique infant immune signatures 118 samples shares single-cell, healthy, stem
- GSE327386 RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls 130 samples shares controls, healthy
- GSE161245 Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls 55 samples shares controls, healthy
- GSE334588 Single-cell transcriptomic atlas of adult dermatomyositis, cutaneous lupus erythematosus and healthy skin 48 samples shares single-cell, healthy
- GSE203067 Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Esophageal Squamous Cell Carcinoma 21 samples shares single-cell, stem
- GSE307297 Single cell RNAseq on rheumatoid arthritis-related interstitial lung disease 12 samples shares rheumatoid, arthritis
- GSE298602 Single-cell RNA-Seq data from preeclamptic and healthy placentas 11 samples shares single-cell, healthy
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.