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Updated: Jan 14, 2026

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Partial Lobular Hepatectomy: A Surgical Model for Morphologic Liver Regeneration
Published on: May 31, 2018
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Cell networks in the mouse liver during partial hepatectomy
Bin Li1, Daniel Rodrigo-Torres1, Carl Pelz1
1Oregon Stem Cell Center, Salem, OR, USA; Department of Pediatrics, Papé Family Institute, Oregon Health & Science University, Portland, OR, USA.
Stem Cell Reports
|October 24, 2025
Summary
Researchers mapped liver cell communication networks during regeneration. They identified over 50,000 potential cell-cell interactions, revealing dynamic changes crucial for tissue repair and homeostasis.
Area of Science:
- Cellular biology
- Regenerative medicine
- Systems biology
Background:
- Tissue homeostasis and regeneration rely on complex cell-cell interactions.
- The specific signaling networks governing liver cell communication remain largely unknown.
- Understanding these interactions is crucial for advancing regenerative medicine.
Purpose of the Study:
- To comprehensively map the hepatic cell-cell interaction network in normal and regenerative states.
- To identify novel signaling pathways regulating liver regeneration.
- To provide a predictive model for studying autocrine/paracrine signaling in tissue repair.
Main Methods:
- Purification of 10 distinct cell populations from normal and partially hepatectomized mouse livers.
- Transcriptome analysis to identify ligand-receptor pairs.
- Computational modeling to predict cell-cell interactions.
Main Results:
- Over 50,000 potential cell-cell interactions were identified in the liver.
- Approximately 50% of these interactions differed between normal and regenerative states, highlighting dynamic network changes.
- Two novel signaling interactions influencing liver regeneration speed were identified and validated.
Conclusions:
- This study presents the first comprehensive database of liver cell-cell interactions during homeostasis and regeneration.
- The findings offer a novel platform for investigating signaling in tissue regeneration.
- The results have broad implications for understanding complex multicellular systems and developing new therapeutic strategies.

