Achieving CD8+ T cell-dependent lethality by targeting cancer USP14 in HCC [scRNA-seq]
Single-cell RNA-seq · human · 2 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
- 2 samples
- 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
- USP14-mediated metabolic competition impairs CD8+ T cell immunosurveillance in hepatocellular carcinomaProceedings of the National Academy of Sciences of the United States of America · 2025
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 GSE208307_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 PRJNA859162 and SRA study SRP386640. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE265834 RNA-seq of murine 4-1BB- and 4-1BB+ CD8+ tumor-infiltrating T cells in HCC patients 10 samples shares cd8, hcc
- GSE295600 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 [scRNA-seq] 18 samples shares cd8, scrna-seq
- GSE285701 The paradoxical significance of CD39+CD8+ T cells in clear cell renal cell carcinoma [scRNA-seq] 13 samples shares cd8, scrna-seq
- GSE295432 Targeting Mediator MED23 inhibits HCC development by inhibiting compensatory proliferation and promoting ROS-mediated cell death [ChIP-seq] 12 samples shares hcc, targeting
- 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
- 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
- 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
- GSE281260 Spatially organized inflammatory myeloid-CD8+ T cell aggregates linked to Merkel-cell Polyomavirus driven Reorganization of the Tumor Microenvironment 146 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.