TCR-stimulation of peripheral-blood CD8+ T cells.
Single-cell RNA-seq · human · 16 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
- 16 samples: 16 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 GSE296771_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 PRJNA1261029 and SRA study SRP584286. 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 16 sample titles: 16 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.
- GSM8976298 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 1A
- GSM8976299 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 1B
- GSM8976300 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 2A
- GSM8976301 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 2B
- GSM8976302 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 3A
- GSM8976303 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 3B
- GSM8976304 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 4A
- GSM8976305 scRNA-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 4B
- GSM8976306 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 1A
- GSM8976307 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 1B
- GSM8976308 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 2A
- GSM8976309 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 2B
- GSM8976310 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 3A
- GSM8976311 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 3B
- GSM8976312 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 4A
- GSM8976313 scVDJ-seq of HNSCC-patient-derived peripheral blood CD8+ T cells; 4B
- GSE280113 Progenitor effects and unique transcriptomic signatures linked to differentiation phenotype in clonally expanded antigen-specific CD8 T memory stem cells (TSCM) 509 samples shares cd8
- GSE324265 Contribution of cytotoxic CD8 T cells, neutrophils and type 1 interferon signaling to hyperinflammatory pathology in HIV associated TB meningitis [RNA-Seq] 125 samples shares cd8
- GSE295725 Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors 98 samples shares cd8
- GSE230738 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 71 samples shares cd8
- GSE324044 Contribution of cytotoxic CD8 T cells, neutrophils and type 1 interferon signaling to hyperinflammatory pathology in HIV associated TB meningitis 64 samples shares cd8
- GSE235093 Pre-existing skin-resident CD8 and γδ T cell circuits mediate immune response in Merkel cell carcinoma and Predict immunotherapy efficacy 333 samples shares cd8
- GSE272734 Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 2] 40 samples shares cd8
- GSE245739 The transcription factor IRF4 impedes human CD8 T-cell function and promotes cells proliferation and PD-1 expression 40 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.