Resolving the fibrotic niche of human liver cirrhosis using single-cell transcriptomics
We profile the transcriptomes of over 100,000 human single cells, yielding molecular definitions for non-parenchymal cell types present in healthy and cirrhotic human liver. We uncover a novel scar-associated TREM2+CD9+ macrophage subpopulation, which expands in liver fibrosis, differentiates from circulating monocytes, has a corollary population in mouse liver fibrosis and is pro-fibrogenic. We also define novel ACKR1+ and PLVAP+ endothelial cells which expand in cirrhosis, are topographically...
Provenance — who produced it, who reused it
Linked to 27 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.
- Differential abundance testing on single-cell data using k-neare... 2021 · 917 cites
- Single cell RNA sequencing of 13 human tissues identify cell typ... 2020 · 912 cites
- Single-cell RNA sequencing of human liver reveals hepatic stella... 2021 · 148 cites
24 further papers cite this accession but reuse could not be confirmed.
Deep data QC
60/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The D 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