scRNAseq and TCRseq of tumor infiltrating CD8 T cells from samples
Single-cell RNA-seq · human · 22 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
- 22 samples: 22 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
- An age-related decrease in leptin contributes to CD8(+) T cell aging in the tumor microenvironmentCell reports. Medicine · 2025
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 GSE302214_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 PRJNA1289439. 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 22 sample titles: 22 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.
- GSM9099756 P1, scRNAseq
- GSM9099757 P2, scRNAseq
- GSM9099758 P3, scRNAseq
- GSM9099759 P4, scRNAseq
- GSM9099760 P5, scRNAseq
- GSM9099761 P6, scRNAseq
- GSM9099762 P7, scRNAseq
- GSM9099763 P8, scRNAseq
- GSM9099764 P9, scRNAseq
- GSM9099765 P10, scRNAseq
- GSM9099766 P11, scRNAseq
- GSM9099767 P1, TCRseq
- GSM9099768 P2, TCRseq
- GSM9099769 P3, TCRseq
- GSM9099770 P4, TCRseq
- GSM9099771 P5, TCRseq
- GSM9099772 P6, TCRseq
- GSM9099773 P7, TCRseq
- GSM9099774 P8, TCRseq
- GSM9099775 P9, TCRseq
- GSM9099776 P10, TCRseq
- GSM9099777 P11, TCRseq
- GSE295601 The Cd4+ T cell population Partners with Tpex CD8 T cells to mediate Antitumor Immunity in the Tumor Microenvironment. [P6] 18 samples shares cd8
- GSE225063 Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunity 256 samples shares cd8
- GSE295725 Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors 98 samples shares cd8
- GSE308745 The Cd4+ T cell population Partners with Tpex CD8 T cells to mediate Antitumor Immunity in the Tumor Microenvironment.[PB cohort2] 87 samples shares cd8
- GSE283942 Tumor-reactive heterotypic CD8 T cell clusters from clinical samples 28 samples shares cd8
- GSE281260 Spatially organized inflammatory myeloid-CD8+ T cell aggregates linked to Merkel-cell Polyomavirus driven Reorganization of the Tumor Microenvironment 146 samples shares cd8
- GSE295599 Combinatorial delivery of low-dose irradiation and immunotherapy to patients with immune-excluded tumors effectively enhances CD8+ T cell functionality in tumors with homologous recombination repair deficiency [bulk RNA-seq] 29 samples shares cd8
- GSE291804 Multi-omics analysis of brain metastasis elucidates obesity induced prostaglandin crosstalk in tumor microenvironment restrain CD8T cell expansion 18 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.