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Related Concept Videos

The Cell Cycle Control System01:28

The Cell Cycle Control System

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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 Control System02:11

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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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Positive Regulator Molecules01:45

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To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.
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Positive Regulator Molecules02:39

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Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.
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Molecular Factors Affecting Cell Division01:27

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Several external and internal factors influence the initiation and inhibition of cell division. For instance, the death of nearby cells or the release of human growth hormone (hGH) promotes cell division. In contrast, lack of hGH or crowding of cells can inhibit cell division.
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Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...
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Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
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Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model.

Yang Peng1, Paul Scott2, Ruikang Tao3

  • 1Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Biomed Research International
|May 4, 2017
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Summary
This summary is machine-generated.

This study uses mathematical modeling to understand cell cycle control networks. The developed model aids in comprehending tumor evolution and optimizing cancer therapy dosing schedules.

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Area of Science:

  • Molecular biology
  • Systems biology
  • Cancer research

Background:

  • Cell cycle control integrates signals for cell growth and division.
  • Dysfunctional cell cycle control is implicated in human cancers.
  • Conventional single-gene approaches limit understanding of complex cell cycle networks.

Purpose of the Study:

  • To develop a network evolution model for cell cycle control.
  • To understand dynamic cell cycle regulation in tumor evolution.
  • To optimize dosing schedules for cancer therapies targeting the cell cycle.

Main Methods:

  • Mathematical modeling
  • Graph theory
  • Differential equation systems

Main Results:

  • A network evolution model for cell cycle control was developed.
  • The model provides insights into dynamic cell cycle regulation.
  • The model can inform optimization of cancer therapy schedules.

Conclusions:

  • Network-level understanding of cell cycle control is crucial.
  • Mathematical modeling offers a powerful approach to study complex biological systems.
  • This model has potential applications in personalized cancer treatment strategies.