Gene regulatory basis of bystander activation in CD8+ T cells (human scRNA-seq)
Single-cell RNA-seq · human · 21 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
- 21 samples: 21 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.
- Paper
- The gene regulatory basis of bystander activation in CD8(+) T cellsScience immunology · 2024
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 GSE261140_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 PRJNA1085376 and SRA study SRP494027. 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 21 sample titles: 21 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.
- GSM8135732 IL-2 Adult F1 [scRNA-seq]
- GSM8135733 IL-2 Adult F2 [scRNA-seq]
- GSM8135734 IL-2 Adult M1 [scRNA-seq]
- GSM8135735 IL-2 Adult M2 [scRNA-seq]
- GSM8135736 IL-12/18 Adult F1 [scRNA-seq]
- GSM8135737 IL-12/18 Adult F2[scRNA-seq]
- GSM8135738 IL-12/18 Adult M1[scRNA-seq]
- GSM8135739 IL-12/18 Adult M2 [scRNA-seq]
- GSM8135740 IL-2 Neonate F1 [scRNA-seq]
- GSM8135741 IL-2 Neonate M1 [scRNA-seq]
- GSM8135742 IL-2 Neonate M2 [scRNA-seq]
- GSM8135743 IL-12/18 Neonate F1 [scRNA-seq]
- GSM8135744 IL-12/18 Neonate F2 [scRNA-seq]
- GSM8135745 IL-12/18 Neonate M2 [scRNA-seq]
- GSM8135746 IL-2 Fetal F1 [scRNA-seq]
- GSM8135747 IL-2 Fetal F2 [scRNA-seq]
- GSM8135748 IL-2 Fetal M1 [scRNA-seq]
- GSM8135749 IL-2 Fetal M2 [scRNA-seq]
- GSM8135750 IL-12/18 Fetal F1[scRNA-seq]
- GSM8135751 IL-12/18 Fetal F2 [scRNA-seq]
- GSM8135752 IL-12/18 Fetal M1 [scRNA-seq]
- 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, activation
- GSE306620 TCR signaling via NFATc1 constrains IL-15-induced NK-like activation of human memory CD8+ T cells 26 samples shares cd8, activation
- 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, activation
- GSE327727 D-SPIN constructs regulatory network models from scRNA-seq revealing organizing principles of perturbation response 194 samples shares regulatory, scrna-seq
- GSE230342 Chromatin conformation dynamics during CD4+ Tcell activation implicates autoimmune disease associated genes and regulatory elements (HiC) 6 samples shares regulatory, activation
- GSE235090 Pre-existing skin-resident CD8 and γδ T cell circuits mediate immune response in Merkel cell carcinoma and Predict immunotherapy efficacy [scRNA_tissue] 192 samples shares cd8
- GSE317789 Single-cell and spatial profiling reveal cDC2A-CXCL13+ CD8+ T-epithelial cell crosstalk and cytotoxicity through TNFRSF9 in cutaneous and mucosal lichen planus 42 samples shares cd8
- 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
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.