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Related Concept Videos

The Cell Cycle Control System01:28

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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.
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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...
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Related Experiment Video

Updated: Apr 28, 2026

Combining Mitotic Cell Synchronization and High Resolution Confocal Microscopy to Study the Role of Multifunctional Cell Cycle Proteins During Mitosis
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Introductory review of computational cell cycle modeling.

Andres Kriete1, Eishi Noguchi, Christian Sell

  • 1School of Biomedical Engineering, Science and Health Systems, Bossone Research Center, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA, andres.kriete@drexel.edu.

Methods in Molecular Biology (Clifton, N.J.)
|June 8, 2014
PubMed
Summary

Systems biology uses computer simulations to model the cell cycle, integrating experimental data and network topology to predict biological functions. This engineering approach enhances understanding of complex intracellular networks.

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Area of Science:

  • Systems biology
  • Computational biology
  • Cell cycle research

Background:

  • Systems biology aims to connect biological components and their interactions to predict system function.
  • Computer modeling is a powerful tool for understanding complex biological systems.
  • Biological systems share properties with engineered systems, making an engineering framework suitable for study.

Purpose of the Study:

  • To review the application of systems biology and computer modeling in cell cycle research.
  • To highlight the integration of experimental data and network topology for predicting cell cycle function.
  • To discuss the parallels between biological systems and engineered systems in the context of modeling.

Main Methods:

  • Utilizing computer simulations for cell cycle modeling.
  • Integrating experimental observations and high-throughput screening data.
  • Analyzing the topology of intracellular interaction networks.

Main Results:

  • Demonstrated the effectiveness of computer simulations in advancing cell cycle modeling.
  • Showcased the predictive power of systems biology in understanding intracellular networks.
  • Highlighted the success of applying an engineering framework to biological systems.

Conclusions:

  • Systems biology and computer modeling are crucial for deciphering cell cycle mechanisms.
  • The engineering approach provides valuable insights into the function of biological systems.
  • Further research integrating diverse data types will advance cell cycle understanding.