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Related Concept Videos

Replicative Cell Senescence02:15

Replicative Cell Senescence

Replicative cell senescence is a property of cells that allows them to divide a finite number of times throughout the organism's lifespan while preventing excessive proliferation. Replicative senescence is associated with the gradual loss of the telomere — short, repetitive DNA sequences found at the end of the chromosomes. Telomeres are bound by a group of proteins to form a protective cap on the ends of chromosomes. Embryonic stem cells express telomerase — an enzyme that adds the telomeric...
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Related Experiment Video

Updated: Jun 23, 2026

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells
09:18

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells

Published on: March 30, 2017

Exploratory simulation of cell ageing using hierarchical models.

Marija Cvijovic1, Hayssam Soueidan, David James Sherman

  • 1Max-Planck Institute for Molecular Genetics, Berlin, Germany. cvijovic@molgen.mpg.de

Genome Informatics. International Conference on Genome Informatics
|May 9, 2009
PubMed
Summary
This summary is machine-generated.

Researchers developed a new simulation tool for modeling cell aging in Saccharomyces cerevisiae (S. cerevisiae). This tool revealed that daughters of older yeast cells exhibit a rejuvenation effect, aligning with experimental findings.

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Area of Science:

  • Cell biology
  • Computational biology
  • Aging research

Background:

  • Theories of cell aging have been studied since the 1950s, with Saccharomyces cerevisiae (S. cerevisiae) as a key model organism.
  • In silico modeling aims to understand aging mechanisms and guide experimental studies like cell rejuvenation.
  • Current limitations in simulation tools hinder precise mathematical modeling at both cellular and population levels.

Purpose of the Study:

  • To develop an efficient hierarchical simulation tool for in silico modeling of cell aging.
  • To enable simultaneous precise mathematical modeling at both cell and population levels.
  • To explore cell behavior and aging dynamics in S. cerevisiae.

Main Methods:

  • Developed a novel hierarchical simulation tool supporting dynamic entity creation and preserving mathematical semantics.
  • Expanded a single-cell protein damage segregation model to a cell population model.
  • Explicitly tracked mother-daughter cell relationships within the simulation.
  • Conducted large-scale simulations to explore the resulting cell population dynamics.

Main Results:

  • The simulation tool successfully modeled cell aging at both single-cell and population levels.
  • Daughters of older mother cells demonstrated a rejuvenation effect.
  • The findings are consistent with existing experimental results on cell aging and rejuvenation.
  • The hierarchical simulation approach proved efficient for exploring cell behavior.

Conclusions:

  • The developed hierarchical simulation tool addresses limitations in current in silico modeling for cell aging.
  • The tool facilitates the integration of single-cell and population-level models.
  • The study provides in silico evidence for a rejuvenation effect in daughter cells of older S. cerevisiae mothers.
  • This approach offers an efficient platform for in silico exploration of cellular aging processes.