Single-cell spatial reconstruction reveals global division of labor in the mammalian liver
The mammalian liver consists of hexagonal-shaped lobules, radially polarized by blood flow and morphogens. Key liver genes have been shown to be differentially expressed along the lobule axis, a phenomenon termed zonation, but a detailed genome-wide reconstruction of this spatial division of labor has not been achieved. Here we measure the whole transcriptome of thousands of single mouse liver cells and infer their lobule coordinates using a panel of zonated landmark genes, characterized with si...
Provenance — who produced it, who reused it
Linked to 7 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.
- A human liver cell atlas reveals heterogeneity and epithelial pr... 2019 · 1,174 cites
- Paired-cell sequencing enables spatial gene expression mapping o... 2018 · 385 cites
- Reconstruction of cell spatial organization from single-cell RNA... 2020 · 158 cites
- A spatial vascular transcriptomic, proteomic, and phosphoproteom... 2021 · 112 cites
- Single-Nuclei RNA Sequencing Assessment of the Hepatic Effects o... 2020 · 79 cites
- Single-nucleus RNA-seq2 reveals functional crosstalk between liv... 2021 · 77 cites
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