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Related Experiment Video

Updated: Mar 19, 2026

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice

Published on: April 19, 2020

Dynamic zonation of liver polyploidy.

Sivan Tanami¹, Shani Ben-Moshe¹, Anat Elkayam¹

¹Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

Cell and Tissue Research

|June 16, 2016

Summary

Liver polyploidy distribution changes dynamically across the liver lobule. This study reveals spatial waves of polyploidy and S-phase entry, particularly in the mid-lobule zone, impacting liver aging and regeneration.

Keywords:

Liver polyploidy Liver zonation Single molecule imaging Stem cells Systems biology

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Area of Science:

Hepatology
Cell Biology
Developmental Biology

Background:

The liver is a polyploid organ, with hepatocytes containing multiple chromosome sets.
The spatial distribution of these polyploid hepatocytes within the liver lobule is not well understood.
Understanding liver polyploidy zonation is crucial for comprehending liver homeostasis, regeneration, and potential functional specialization.

Purpose of the Study:

To characterize the dynamic spatial zonation profiles of liver polyploid classes in mice across different ages.
To investigate the spatial patterns of S-phase entry in relation to polyploidy and age.
To elucidate the fundamental features of liver spatial heterogeneity and its age-related changes.

Main Methods:

Utilized single molecule-based tissue imaging techniques.
Reconstructed spatial zonation profiles of liver polyploid classes in mice.
Measured spatial zonation profiles of S-phase entry at various ages.

Main Results:

Liver polyploidy progresses in distinct spatial waves across the liver lobule.
These polyploidy waves advance faster in the mid-lobule zone compared to periportal and perivenous zones.
Older mice exhibit more rapid S-phase entry in the mid-lobule zone, indicating age-related spatial heterogeneity in cell proliferation.

Conclusions:

Liver polyploidy exhibits dynamic spatial zonation patterns that change with age.
The mid-lobule zone shows distinct dynamics in polyploidy progression and S-phase entry.
These findings provide fundamental insights into liver spatial heterogeneity, development, and aging processes.