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Related Concept Videos

DNA Damage Can Stall the Cell Cycle02:36

DNA Damage Can Stall the Cell Cycle

In response to DNA damage, cells can pause the cell cycle to assess and repair the breaks. However, the cell must check the DNA at certain critical stages during the cell cycle. If the cell cycle pauses before DNA replication, the cells will contain twice the amount of DNA. On the other hand, if cells arrest after DNA replication but before mitosis, they will contain four times the normal amount of DNA. With a host of specialized proteins at their disposal,cells must use the right protein at...
DNA Damage can Stall the Cell Cycle02:36

DNA Damage can Stall the Cell Cycle

In response to DNA damage, cells can pause the cell cycle to assess and repair the breaks. However, the cell must check the DNA at certain critical stages during the cell cycle. If the cell cycle pauses before DNA replication, the cells will contain twice the amount of DNA. On the other hand, if cells arrest after DNA replication but before mitosis, they will contain four times the normal amount of DNA. With a host of specialized proteins at their disposal,cells must use the right protein at...
The Cell Cycle Control System01:28

The Cell Cycle Control System

The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and function at the cell...
The Cell Cycle Control System02:11

The Cell Cycle Control System

The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...
Negative Regulator Molecules01:23

Negative Regulator Molecules

Positive regulators allow a cell to advance through cell cycle checkpoints. Negative regulators have an equally important role as they terminate a cell’s progression through the cell cycle—or pause it—until the cell meets specific criteria.
Inhibition of Cdk Activity02:34

Inhibition of Cdk Activity

The orderly progression of the cell cycle depends on the activation of Cdk protein by binding to its cyclin partner. However, the cell cycle must be restricted when undergoing abnormal changes. Most cancers correlate to the deregulated cell cycle, and since Cdks are a central component of the cell cycle, Cdk inhibitors are extensively studied to develop anticancer agents. For instance, cyclin D associates with several Cdks, such as Cdk 4/6, to form an active complex. The cyclin D-Cdk4/6 complex...

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Related Experiment Video

Updated: May 22, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

A flexible and qualitatively stable model for cell cycle dynamics including DNA damage effects.

Clark D Jeffries1, Charles R Johnson, Tong Zhou

  • 1Renaissance Computing Institute, CB 3127, University of North Carolina at Chapel Hill, NC.

Gene Regulation and Systems Biology
|May 4, 2012
PubMed
Summary

This study presents a cell cycle model for analyzing cell cycle control mechanisms. The model demonstrates qualitative stability, accurately simulating human fibroblast responses to radiation and DNA damage.

Keywords:
cell cycle modelcheckpoint processing ratelinear algebra modelqualitative stability of matricesresponse to radiation

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Last Updated: May 22, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization
08:52

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Published on: August 16, 2015

Cell Cycle-specific Measurement of γH2AX and Apoptosis After Genotoxic Stress by Flow Cytometry
08:21

Cell Cycle-specific Measurement of γH2AX and Apoptosis After Genotoxic Stress by Flow Cytometry

Published on: September 1, 2019

Area of Science:

  • Systems Biology
  • Mathematical Biology
  • Cellular Dynamics

Background:

  • Understanding cell cycle control is crucial for cancer research and drug development.
  • Existing models often lack robustness and broad applicability to experimental data.
  • Investigating the impact of DNA damage on cell cycle progression is a key area of research.

Purpose of the Study:

  • To develop a conceptually robust framework for cell cycle modeling.
  • To create a model capable of integrating experimental data and evaluating control mechanisms.
  • To validate the model's predictive power using human fibroblast cell line data.

Main Methods:

  • Development of a qualitative stability-based cell cycle model.
  • Mapping experimental data onto the conceptual framework.
  • Tuning model parameters to approximate observed cell behaviors.
  • Analysis of system eigenvalues to confirm stability properties.

Main Results:

  • The proposed cell cycle model exhibits inherent qualitative stability.
  • The model successfully approximates experimental data from human fibroblasts under ionizing radiation.
  • The model's performance is validated with and without functional DNA damage checkpoints.

Conclusions:

  • A fundamental, first-order systems view of cell dynamics is validated.
  • The developed model offers a reliable tool for analyzing cell cycle control mechanisms.
  • This framework facilitates the integration of theoretical models with experimental observations in cell biology.