Evidence map›Paper›PMID 39747812›Full record

ArticleNature communications2025

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

Brianna R Watson, Biplab Paul, Raza Ur Rahman, Liat Amir-Zilberstein, Åsa Segerstolpe, Eliana T Epstein, Shane Murphy, Ludwig Geistlinger, Tyrone Lee, Angela Shih and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

87 citing papers in PubMed.

  1. Review
  2. A practical toolbox for modelling fibrosis in vitro.Nature biomedical engineering · 2026
    Review
  3. Article
  4. Precision pathophysiology in steatotic liver disease.Clinical and molecular hepatology · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Liver Macrophages in the Pathogenesis of Viral Hepatitis.Current issues in molecular biology · 2026
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Brianna R Watson *Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.ORCID 0000-0001-6540-5330
Biplab Paul *Division of Gastroenterology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Raza Ur RahmanDivision of Gastroenterology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Liat Amir-ZilbersteinBroad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.
Åsa SegerstolpeBroad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.
Eliana T EpsteinMassachusetts General Hospital, Boston, MA, 02114, USA.
Shane MurphyBroad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.
Ludwig GeistlingerCore for Computational Biomedicine, Department for Biomedical Informatics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA.
Tyrone LeeCore for Computational Biomedicine, Department for Biomedical Informatics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0009-0008-7750-0448
Angela ShihMassachusetts General Hospital, Boston, MA, 02114, USA.
Jacques DeguineBroad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.ORCID 0000-0001-9218-3040
Ramnik J XavierBroad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.ORCID 0000-0002-5630-5167
Jeffrey R MoffittProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, 02115, USA. jeffrey.moffitt@childrens.harvard.edu.ORCID 0000-0002-3836-3101
Alan C MullenDivision of Gastroenterology, University of Massachusetts Chan Medical School, Worcester, MA, USA. alan.mullen@umassmed.edu.ORCID 0000-0002-4096-3106

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
NIDDK NIH HHS P30 DK043351
6 · The paper itself

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.

Indexed as

HepatocytesIn Situ Hybridization, FluorescenceLiverLiver CirrhosisSingle-Cell AnalysisTranscriptomeAdultFemaleGene Expression ProfilingHumansMacrophagesMaleSequence Analysis, RNA

Identifiers

PMID39747812
PMCPMC11697218

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.