Evidence map›Paper›PMID 32483353›Full record

ReviewNature reviews. Gastroenterology & hepatology2020

Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis.

Prakash Ramachandran, Kylie P Matchett, Ross Dobie, John R Wilson-Kanamori, Neil C Henderson

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed
14.4field-weighted citation impact, top 1% of its field
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

158 citing papers in PubMed, 248 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Reprogramming macrophages to treat liver diseases.Hepatology (Baltimore, Md.) · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. EREG-secreting THBS1Hepatobiliary surgery and nutrition · 2026
    Article
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  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
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  19. Review
  20. Article

98 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

5 authors at 1 institution in 1 country.

Prakash RamachandranCentre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5996-2413
Kylie P MatchettCentre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Ross DobieCentre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
John R Wilson-KanamoriCentre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Neil C HendersonCentre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK. Neil.Henderson@ed.ac.uk.ORCID http://orcid.org/0000-0002-2273-4094
Centre for Inflammation Research · GB

Funding

Medical Research Council MR/N008340/1Wellcome Trust
6 · The paper itself

Abstract

Liver disease is a major global health-care problem, affecting an estimated 844 million people worldwide. Despite this substantial burden, therapeutic options for liver disease remain limited, in part owing to a paucity of detailed analyses defining the cellular and molecular mechanisms that drive these conditions in humans. Single-cell transcriptomic technologies are transforming our understanding of cellular diversity and function in health and disease. In this Review, we discuss how these technologies have been applied in hepatology, advancing our understanding of cellular heterogeneity and providing novel insights into fundamental liver biology such as the metabolic zonation of hepatocytes, endothelial cells and hepatic stellate cells, and the cellular mechanisms underpinning liver regeneration. Application of these methodologies is also uncovering critical pathophysiological changes driving disease states such as hepatic fibrosis, where distinct populations of macrophages, endothelial cells and mesenchymal cells reside within a spatially distinct fibrotic niche and interact to promote scar formation. In addition, single-cell approaches are starting to dissect key cellular and molecular functions in liver cancer. In the near future, new techniques such as spatial transcriptomics and multiomic approaches will further deepen our understanding of disease pathogenesis, enabling the identification of novel therapeutic targets for patients across the spectrum of liver diseases.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisEndothelial CellsFibroblastsGastroenterologyHepatic Stellate CellsHepatocytesHumansInflammationKupffer CellsLiverLiver CirrhosisLiver DiseasesMacrophagesMuscle, Smooth, VascularMyocytes, Smooth Muscle

Identifiers

PMID32483353
OpenAlexW3030742091

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.