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Single-cell omics analysis reveals functional diversification of hepatocytes during liver regeneration
Tianyi Chen, Sehhoon Oh, Simon Gregory, Xiling Shen, Anna Mae Diehl
Tianyi Chen, Sehhoon Oh, Simon Gregory, Xiling Shen, Anna Mae Diehl
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Research Article Hepatology

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

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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.

Authors

Tianyi Chen, Sehhoon Oh, Simon Gregory, Xiling Shen, Anna Mae Diehl

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Figure 2

Expression data enables identification of distinct subtypes within each cluster.

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Expression data enables identification of distinct subtypes within each ...
(A) UMAP projection of r3 (n = 92 cells). (B) Violin plots showing expression of representative markers across subclusters r3.1, r3.2, and r3.3. (C and D) Dot plot showing the expression of either representative proliferative (C) or stem/progenitor markers (D) in each cluster. Dot diameter indicates proportion of cells per cluster expressing a given gene; color depicts average expression level of that gene. (E) Gene set enrichment analysis (GSEA) of published markers for hepatocytes-derived proliferative ducts (hepPD) shows enrichment in r8 compared with other clusters (r1–r7, r9). (F) RNA velocity analysis of hepatocytes at 48 h after PHx.

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