Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution
Single-cell RNA sequencing (scRNA-seq) has advanced our understanding of cell types and their heterogeneity within the human liver, but the spatial organization at single-cell resolution has not yet been described. Here we apply multiplexed error robust fluorescent in situ hybridization (MERFISH) to map the zonal distribution of hepatocytes, spatially resolve subsets of macrophage and mesenchymal populations, and investigate the relationship between hepatocyte ploidy and gene expression within the healthy human liver. Integrating spatial information from MERFISH with the more complete transcriptome produced by single-nucleus RNA sequencing (snRNA-seq), also reveals zonally enriched receptor-ligand interactions. Finally, MERFISH and snRNA-seq analysis of fibrotic liver samples identify two hepatocyte populations that expand with injury and do not have clear zonal distributions. Together these spatial maps of the healthy and fibrotic liver provide a deeper understanding of the cellular and spatial remodeling that drives disease which, in turn, could provide new avenues for intervention and further study.
Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (Official HCA Publication)
Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (Official HCA Publication)
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Atlas

Analysis Portals
Project Label
FibroticLiverWatsonMERFISHSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
Liver
Organ Part
Unspecified
Selected Cell Types
Unspecified
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
10x 3' v3
Nucleic Acid Source
single nucleus
Paired End
falseAnalysis Protocol
integration_analysis, merfish_analysis, sn_analysisFile Format
Cell Count Estimate
310.0kDonor Count
6