Cited by 92Liver physiology and pathologySingle-cell and spatial transcriptomicsCongenital heart defects research

Single-cell omics analysis reveals functional diversification of hepatocytes during liver regeneration

Open access
Chen, Tianyi, Oh, Sehhoon, Gregory, Simon, Shen, Xiling, Diehl, Anna Mae·2020·JCI Insight

Abstract

Adult liver has enormous regenerative capacity; it can regenerate after losing two-thirds of its mass while sustaining essential metabolic functions. How the liver balances dual demands for increased proliferative activity with maintenance of organ function is unknown but essential to prevent liver failure. Using partial hepatectomy (PHx) in mice to model liver regeneration, we integrated single-cell RNA- and ATAC-Seq to map state transitions in approximately 13,000 hepatocytes at single-cell resolution as livers regenerated, and validated key findings with IHC, to uncover how the organ regenerates hepatocytes while simultaneously fulfilling its vital tissue-specific functions. After PHx, hepatocytes rapidly and transiently diversified into multiple distinct populations with distinct functional bifurcation: some retained the chromatin landscapes and transcriptomes of hepatocytes in undamaged adult livers, whereas others transitioned to acquire chromatin landscapes and transcriptomes of fetal hepatocytes. Injury-related signaling pathways known to be critical for regeneration were activated in transitioning hepatocytes, and the most fetal-like hepatocytes exhibited chromatin landscapes that were enriched with transcription factors regulated by those pathways.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1172/jci.insight.141024

Cites

63 of 64 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several studies suggest that hepatocyte proliferation leads to metabolic remodelling and that hepatocytes across the liver can adapt dynamically to changes during regeneration.

    “Several studies suggest that hepatocyte proliferation leads to metabolic remodelling and that hepatocytes across the liver can adapt dynamically to changes during regeneration106,107,[131], [132], [133], [134], [135]”

    From Distinct hepatocyte identities in liver homeostasis and regeneration (2023) · cites this paper as [107]

    The Results section reports changes in hepatocyte-specific gene expression when proliferation was maximal, and the Discussion describes dynamic changes in hepatocyte states during regeneration. But the paper does not establish that proliferation causes metabolic remodelling: it describes heterogeneous responses, with some hepatocytes retaining metabolic functions while others change state to become more proliferative. The findings concern regenerating mouse liver after partial hepatectomy. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Some hepatocytes retained chromatin landscapes and transcriptomics of metabolically active uninjured hepatocytes, while others showed changing chromatin and expression signatures suggesting transient fetal reprogramming.

    “Interestingly, some hepatocytes retained chromatin landscapes and transcriptomics of metabolically active uninjured hepatocytes, while others showed changing chromatin and expression signatures suggesting transient fetal reprogramming.107”
  • During pan-zonal regeneration induced by partial hepatectomy, hepatocytes across the liver underwent transient fetal reprogramming to acquire proliferative potential.

    “During pan-zonal regeneration induced by partial hepatectomy, hepatocytes across the liver underwent transient fetal reprogramming to acquire proliferative potential.106,107”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chen, T., Oh, S., Gregory, S., Shen, X., & Diehl, A. M.
Affiliations
  • Duke University (US)
  • Department of Medicine and
Corresponding author
  • Shen, Xiling
  • Diehl, Anna Mae
Venue
JCI Insight
Published
2020-11-19
Volume
5
Issue
22
ISSN
2379-3708 (ISSN-L)
OpenAlex
W3100507307
Cited by
79
References
63
Citations by year
2026: 8 · 2025: 18 · 2024: 13 · 2023: 15 · 2022: 13 · 2021: 11
FWCI
5.73
Type
journal article
Language
en
Open access
Locations
  • JCI Insight (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Duke University (RO1-DK077794,RO1-AA010154,R35GM122465,U01CA217514,CZF2019-002451)
Topics
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Congenital heart defects research
Keywords
liver regeneration, hepatocytes, partial hepatectomy, single-cell RNA sequencing, single-cell ATAC-seq, hepatocyte heterogeneity, fetal hepatocytes, chromatin accessibility, transcription factors, cell state transitions, liver failure
MeSH terms
Animals, Liver, Liver Regeneration, Male, Mice, Inbred C57BL, Signal Transduction, Biomarkers, Hepatocytes, Cell Proliferation, Mice, Single-Cell Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review