Construction of A Human Cell Landscape by Single-cell mRNA-seq
We used single-cell RNA sequencing to determine the cell type composition of all major human organs and construct a basic scheme for the human cell landscape (HCL). We reveal a single-cell hierarchy for many tissues that have not been well characterized previously. We present a “single-cell HCL analysis’’ pipeline that accurately defines human cell types and exemplify its utility in stem cell biology. Finally, we perform single-cell comparative analysis of the human and mouse cell atlases to rev...
Provenance — who produced it, who reused it
Linked to 16 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.
- Mouse Heterochromatin Adopts Digital Compaction States without S... 2020 · 309 cites
- Single-cell transcriptome profiling reveals vascular endothelial... 2021 · 108 cites
- Polygenic regression uncovers trait-relevant cellular contexts t... 2023 · 94 cites
13 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