Defining T cell states associated with response to checkpoint immunotherapy in melanoma
we profiled 16,291 immune cells from 48 tumor samples of melanoma patients treated with checkpoint inhibitors, using single-cell transcriptomics.
Provenance — who produced it, who reused it
Linked to 44 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.
- Single-cell transcriptomics of human T cells reveals tissue and... 2019 · 823 cites
- A gene expression signature of TREM2hi macrophages and γδ T cell... 2020 · 246 cites
- The GPCR–Gαs–PKA signaling axis promotes T cell dysfunction and... 2023 · 82 cites
- An immune score reflecting pro- and anti-tumoural balance of tum... 2023 · 74 cites
- BIDCell: Biologically-informed self-supervised learning for segm... 2024 · 72 cites
38 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.