Single-cell analysis reveals new evolutionary complexity in uveal melanoma
Uveal melanoma (UM) is a highly metastatic cancer that, in contrast to cutaneous melanoma, is largely unresponsive to checkpoint immunotherapy. In this study we interrogate the tumour microenvironment at single-cell resolution using scRNA-seq of 59,915 tumour and non-neoplastic cells from 8 primary and 3 metastatic samples. A subset analysis of tumour cells confirms the global genomic landscape established from bulk analysis and reveals newly described subclonal genomic complexity and transcrip...
Provenance — who produced it, who reused it
Linked to 22 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 analysis reveals new evolutionary complexity in uvea... 2020 · 478 cites
- An immune score reflecting pro- and anti-tumoural balance of tum... 2023 · 74 cites
20 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.