Single-cell analysis of gene expression variation and phenotype switching in melanoma
We combine extensive profiling of single-cell gene expression (scRNA-seq of 39,263 cells) and chromatin accessibility applied to ten genetically-homogeneous, patient-derived melanoma cultures, to examine intra- and intertumoral phenotypic heterogeneity, to identify new cell states, and to track dynamic transitions at single-cell resolution.
Provenance — who produced it, who reused it
Linked to 12 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.
- SCENIC+: single-cell multiomic inference of enhancers and gene r... 2023 · 679 cites
11 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