Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
We molecularly characterized thousands of liver endothelial cells and immune cells using scRNAseq. We next sequenced pairs of hepatocytes and attached endothelial cells, and used the hepatocyte genes to infer the liver lobule coordinates of these pairs, thus obtaining the global zonation patterns of endothelial genes.
Provenance — who produced it, who reused it
Linked to 5 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.
- 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
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
71/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The C grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0