A Human Liver Cell Atlas reveals Heterogeneity and Epithelial Progenitors
We perfomed single-cell RNA-sequnecing of around 10,000 cells from normal human liver tissue to construct a human liver cell atlas. We reveal previously unknown subtypes in different cell type compartments. We also use our normal liver cell atlas to infer perturbed phenoytpes of cells from HCC samples, human cells engrafted into a mouse liver and liver organoids.
Provenance — who produced it, who reused it
Linked to 11 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.
- Fully-automated and ultra-fast cell-type identification using sp... 2022 · 783 cites
- De novo analysis of bulk RNA-seq data at spatially resolved sing... 2022 · 95 cites
- Human liver single nucleus and single cell RNA sequencing identi... 2022 · 94 cites
- Single-nucleus RNA-seq2 reveals functional crosstalk between liv... 2021 · 77 cites
6 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.