Cell networks in the mouse liver during partial hepatectomy

In solid tissues, homeostasis and post-injury regeneration involve a complex interplay among various cell types. The mammalian liver harbors numerous epithelial and non-epithelial cells, and the global signaling networks governing their interactions are unknown. To unravel the hepatic cell network, we purified 10 different cell populations from normal and regenerative mouse livers. Analyzing their transcriptomes unveiled ligand-receptor interactions and over 50,000 potential cell-cell interactions in both ground state and after partial hepatectomy. Importantly, about half of these differed between the two states, indicating massive changes in the cell network during regeneration. Our study provides the first comprehensive database of potential cell-cell interactions in liver cell homeostasis and regeneration. Leveraging this predictive model, we identified and validated two previously unknown signaling interactions involved in accelerating and delaying liver regeneration. Overall, we provide a novel platform for investigating autocrine/paracrine pathways in tissue regeneration, with broader applications to other complex multicellular systems.

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Publication Details

Journal
Stem Cell Reports
Published
2025-10-23
DOI
https://doi.org/10.1016/j.stemcr.2025.102683
Primary Topic
Liver physiology and pathology
Type
article
Field-Weighted Citation Impact
0.00

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article

Cell networks in the mouse liver during partial hepatectomy

Gary D. Bader, Brendan T. Innes, Pamela Canaday, Peter W. Zandstra et al.
Stem Cell Reports
Liver physiology and pathology
article

Cell networks in the mouse liver during partial hepatectomy

Gary D. Bader, Brendan T. Innes, Pamela Canaday, Peter W. Zandstra, Carl Pelz, Sunghee Chai, Markus Grompe, Daniel Rodrigo‐Torres, Bin Li
article en

Abstract

In solid tissues, homeostasis and post-injury regeneration involve a complex interplay among various cell types. The mammalian liver harbors numerous epithelial and non-epithelial cells, and the global signaling networks governing their interactions are unknown. To unravel the hepatic cell network, we purified 10 different cell populations from normal and regenerative mouse livers. Analyzing their transcriptomes unveiled ligand-receptor interactions and over 50,000 potential cell-cell interactions in both ground state and after partial hepatectomy. Importantly, about half of these differed between the two states, indicating massive changes in the cell network during regeneration. Our study provides the first comprehensive database of potential cell-cell interactions in liver cell homeostasis and regeneration. Leveraging this predictive model, we identified and validated two previously unknown signaling interactions involved in accelerating and delaying liver regeneration. Overall, we provide a novel platform for investigating autocrine/paracrine pathways in tissue regeneration, with broader applications to other complex multicellular systems.

Stem Cell ReportsVol. 20(11)
University of British Columbia (CA), Oregon Health & Science University (US), University of Toronto (CA), Salem Hospital (US), Canada's Michael Smith Genome Sciences Centre (CA)
Oregon Health and Science University, National Institutes of Health
Openalex Percentile: Top 60%
Liver physiology and pathology
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