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Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution

Author

Listed:
  • Brianna R. Watson

    (Boston Children’s Hospital
    Harvard Medical School)

  • Biplab Paul

    (University of Massachusetts Chan Medical School)

  • Raza Ur Rahman

    (University of Massachusetts Chan Medical School
    Broad Institute of Harvard and MIT)

  • Liat Amir-Zilberstein

    (Broad Institute of Harvard and MIT)

  • Åsa Segerstolpe

    (Broad Institute of Harvard and MIT)

  • Eliana T. Epstein

    (Massachusetts General Hospital)

  • Shane Murphy

    (Broad Institute of Harvard and MIT)

  • Ludwig Geistlinger

    (Harvard Medical School)

  • Tyrone Lee

    (Harvard Medical School)

  • Angela Shih

    (Massachusetts General Hospital)

  • Jacques Deguine

    (Broad Institute of Harvard and MIT)

  • Ramnik J. Xavier

    (Broad Institute of Harvard and MIT
    Massachusetts General Hospital)

  • Jeffrey R. Moffitt

    (Boston Children’s Hospital
    Harvard Medical School
    Broad Institute of Harvard and MIT)

  • Alan C. Mullen

    (University of Massachusetts Chan Medical School
    Broad Institute of Harvard and MIT)

Abstract

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.

Suggested Citation

  • Brianna R. Watson & Biplab Paul & Raza Ur Rahman & Liat Amir-Zilberstein & Åsa Segerstolpe & Eliana T. Epstein & Shane Murphy & Ludwig Geistlinger & Tyrone Lee & Angela Shih & Jacques Deguine & Ramnik, 2025. "Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55325-4
    DOI: 10.1038/s41467-024-55325-4
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