Senescent activated naive B cells promote anti-citrullinated antigen T cell responses and the transition to clinical rheumatoid arthritis
Single-cell RNA-seq · human · 78 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
- Homo sapiens (human)
- Samples
- 78 samples: 78 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.
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 GSE342939_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 PRJNA1344838 and SRA study SRP632981. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 78 sample titles: 78 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.
- GSM9943404 Peripheral B cells, healthy control, pre, scRNA-seq, NN1A
- GSM9943405 Peripheral B cells, healthy control, pre, CITE-seq, NN1A
- GSM9943406 Peripheral B cells, healthy control, pre, BCR-seq, NN1A
- GSM9943407 Peripheral B cells, healthy control, post, scRNA-seq, NN1B
- GSM9943408 Peripheral B cells, healthy control, post, CITE-seq, NN1B
- GSM9943409 Peripheral B cells, healthy control, post, BCR-seq, NN1B
- GSM9943410 Peripheral B cells, healthy control, pre, scRNA-seq, NN2A
- GSM9943411 Peripheral B cells, healthy control, pre, CITE-seq, NN2A
- GSM9943412 Peripheral B cells, healthy control, pre, BCR-seq, NN2A
- GSM9943413 Peripheral B cells, healthy control, post, scRNA-seq, NN2B
- GSM9943414 Peripheral B cells, healthy control, post, CITE-seq, NN2B
- GSM9943415 Peripheral B cells, healthy control, post, BCR-seq, NN2B
- GSM9943416 Peripheral B cells, healthy control, pre, scRNA-seq, NN3A
- GSM9943417 Peripheral B cells, healthy control, pre, CITE-seq, NN3A
- GSM9943418 Peripheral B cells, healthy control, pre, BCR-seq, NN3A
- GSM9943419 Peripheral B cells, healthy control, post, scRNA-seq, NN3B
- GSM9943420 Peripheral B cells, healthy control, post, CITE-seq, NN3B
- GSM9943421 Peripheral B cells, healthy control, post, BCR-seq, NN3B
- GSM9943422 Peripheral B cells, ACPA-positive converter to clinical RA, pre, scRNA-seq, PC1A
- GSM9943423 Peripheral B cells, ACPA-positive converter to clinical RA, pre, CITE-seq, PC1A
- GSM9943424 Peripheral B cells, ACPA-positive converter to clinical RA, pre, BCR-seq, PC1A
- GSM9943425 Peripheral B cells, ACPA-positive converter to clinical RA, post, scRNA-seq, PC1B
- GSM9943426 Peripheral B cells, ACPA-positive converter to clinical RA, post, CITE-seq, PC1B
- GSM9943427 Peripheral B cells, ACPA-positive converter to clinical RA, post, BCR-seq, PC1B
- GSM9943428 Peripheral B cells, ACPA-positive converter to clinical RA, pre, scRNA-seq, PC2A
- GSM9943429 Peripheral B cells, ACPA-positive converter to clinical RA, pre, CITE-seq, PC2A
- GSM9943430 Peripheral B cells, ACPA-positive converter to clinical RA, pre, BCR-seq, PC2A
- GSM9943431 Peripheral B cells, ACPA-positive converter to clinical RA, post, scRNA-seq, PC2B
- GSM9943432 Peripheral B cells, ACPA-positive converter to clinical RA, post, CITE-seq, PC2B
- GSM9943433 Peripheral B cells, ACPA-positive converter to clinical RA, post, BCR-seq, PC2B
- GSM9943434 Peripheral B cells, ACPA-positive converter to clinical RA, pre, scRNA-seq, PC3A
- GSM9943435 Peripheral B cells, ACPA-positive converter to clinical RA, pre, CITE-seq, PC3A
- GSM9943436 Peripheral B cells, ACPA-positive converter to clinical RA, pre, BCR-seq, PC3A
- GSM9943437 Peripheral B cells, ACPA-positive converter to clinical RA, post, scRNA-seq, PC3B
- GSM9943438 Peripheral B cells, ACPA-positive converter to clinical RA, post, CITE-seq, PC3B
- GSM9943439 Peripheral B cells, ACPA-positive converter to clinical RA, post, BCR-seq, PC3B
- GSM9943440 Peripheral B cells, ACPA-positive converter to clinical RA, pre, scRNA-seq, PC4A
- GSM9943441 Peripheral B cells, ACPA-positive converter to clinical RA, pre, CITE-seq, PC4A
- GSM9943442 Peripheral B cells, ACPA-positive converter to clinical RA, pre, BCR-seq, PC4A
- GSM9943443 Peripheral B cells, ACPA-positive converter to clinical RA, post, scRNA-seq, PC4B
+ 38 more — browse all 78 samples with per-sample file links →
- GSE246421 Loss of synovial tissue macrophage homeostasis precedes Rheumatoid Arthritis clinical onset 26 samples shares rheumatoid, arthritis, clinical
- GSE273760 Homeostatic signals induce the development of peripheral helper T cells promoted in the pathogenesis of rheumatoid arthritis 12 samples shares rheumatoid, arthritis, promote
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares rheumatoid, arthritis
- GSE294235 Rheumatoid Arthritis circulating CD14+ monocytes are epigenetically primed [ChIP-seq] 75 samples shares rheumatoid, arthritis
- GSE274996 RNAseq analysis of human neutrophils from people with DMARD-refractory rheumatoid arthritis 48 samples shares rheumatoid, arthritis
- GSE235181 Promoter-proximal RNA polymerase II termination regulates transcription during human cell type transition 44 samples shares transition, promote
- GSE274598 RNAseq analysis of human neutrophils from people with rheumatoid arthritis 41 samples shares rheumatoid, arthritis
- GSE292338 RNAseq analysis of human neutrophils from healthy controls, people with frailty and people with rheumatoid arthritis 39 samples shares rheumatoid, arthritis
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.