Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing
Systematic interrogation of tumor-infiltrating lymphocytes is key to the development of immunotherapies and the prediction of their clinical responses in cancers. Here, we perform deep single-cell RNA sequencing on single T cells isolated from peripheral blood, tumor and adjacent normal tissues from hepatocellular carcinoma patients.
Provenance — who produced it, who reused it
Linked to 26 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- ImmuCellAI: A Unique Method for Comprehensive T‐Cell Subsets Abu... 2020 · 1,026 cites
- Reconstruction of cell spatial organization from single-cell RNA... 2020 · 158 cites
- Predicting recognition between T cell receptors and epitopes wit... 2021 · 144 cites
- Identification and Characterization of Robust Hepatocellular Car... 2021 · 75 cites
22 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently