Immune dysregulation and stem-like CD8+ T cell enrichment in type 1 diabetes pancreatic lymph nodes
Single-cell RNA-seq · human · 57 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
- 57 samples: 57 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.
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 GSE298811_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 PRJNA1271414 and SRA study SRP589533. 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 57 sample titles: 57 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.
- GSM9024099 6414 Gene Expression
- GSM9024100 6414 Feature Barcode
- GSM9024101 6414 VDJ
- GSM9024102 6418 Gene Expression
- GSM9024103 6418 Feature Barcode
- GSM9024104 6418 VDJ
- GSM9024105 6461 Gene Expression
- GSM9024106 6461 Feature Barcode
- GSM9024107 6461 VDJ
- GSM9024108 6482 Gene Expression
- GSM9024109 6482 Feature Barcode
- GSM9024110 6482 VDJ
- GSM9024111 6493 Gene Expression
- GSM9024112 6493 Feature Barcode
- GSM9024113 6493 VDJ
- GSM9024114 6548 Gene Expression
- GSM9024115 6548 Feature Barcode
- GSM9024116 6548 VDJ
- GSM9024117 6550 Gene Expression
- GSM9024118 6550 Feature Barcode
- GSM9024119 6550 VDJ
- GSM9024120 6551 Gene Expression
- GSM9024121 6551 Feature Barcode
- GSM9024122 6551 VDJ
- GSM9024123 6578 Gene Expression
- GSM9024124 6578 Feature Barcode
- GSM9024125 6578 VDJ
- GSM9024126 6586 Gene Expression
- GSM9024127 6586 Feature Barcode
- GSM9024128 6586 VDJ
- GSM9024129 6374 Gene Expression
- GSM9024130 6374 Feature Barcode
- GSM9024131 6374 VDJ
- GSM9024132 6457 Gene Expression
- GSM9024133 6457 Feature Barcode
- GSM9024134 6457 VDJ
- GSM9024135 6566 Gene Expression
- GSM9024136 6566 Feature Barcode
- GSM9024137 6566 VDJ
- GSM9024138 6579 Gene Expression
+ 17 more — browse all 57 samples with per-sample file links →
- GSE279781 CD137 agonism enhances anti-PD1 induced activation of clonally expanded CD8+ T cells in a neoadjuvant pancreatic cancer clinical trial 30 samples shares cd8, pancreatic
- GSE335452 Single-cell RNA-seq and spatial transcriptomics characterize CD8+ exhausted T cells in pancreatic ductal adenocarcinoma 15 samples shares cd8, pancreatic
- GSE253723 Reverse translational discovery reveals dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-refractory, checkpoint inhibitor colitis 12 samples shares cd8, dysregulation
- GSE325835 BATF3 regulates chromatin accessibility during CD8+ T lymphocyte differentiation 36 samples shares cd8, lymph
- GSE322527 Single-cell transcriptomes and T cell receptor sequences of CD4 or CD8 single positive T lymphocytes from peripheral blood or urine of lupus nephritis patients at flare. 26 samples shares cd8, lymph
- GSE235244 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma suppress CD8+ T cell activation and inhibit response to immune checkpoint therapy [hPDAC] 8 samples shares cd8, pancreatic
- GSE210231 CD8+ T cell memory induced by successive SARS-CoV-2 mRNA vaccinations is characterized by shifts in clonal dominance 931 samples shares cd8
- GSE263584 Glycolysis involved in transcription dysregulation through histone lactylation in T-lineage acute lymphoblastic leukemia 12 samples shares dysregulation, lymph
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.