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Related Concept Videos

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...
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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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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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Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
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Logical modelling of cell cycle control in eukaryotes: a comparative study.

Adrien Fauré1, Denis Thieffry

  • 1Aix-Marseille University & INSERM U928-TAGC, Marseille, France. faure@tagc.univ-mrs.fr

Molecular Biosystems
|September 19, 2009
PubMed
Summary
This summary is machine-generated.

Qualitative modeling offers a robust framework for understanding complex biological systems like cell division. This approach simplifies intricate regulatory networks, aiding in the analysis of crucial processes such as mitosis.

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Area of Science:

  • Systems biology
  • Computational biology
  • Molecular systems biology

Background:

  • Dynamical modeling is central to systems biology but faces challenges due to complex regulatory networks and limited quantitative data.
  • Qualitative modeling provides a complementary approach to address these limitations in biological system analysis.

Purpose of the Study:

  • To analyze recent logical models of the molecular network controlling mitosis across various organisms.
  • To compare the assumptions, properties, and functional structures of different logical models of mitosis.
  • To discuss the advantages and future potential of qualitative modeling for cell cycle research.

Main Methods:

  • Analysis of existing logical models of the molecular network controlling mitosis.
  • Comparison of model assumptions, properties, and regulatory circuits.
  • Transposition of models into a common logical framework for standardized analysis.

Main Results:

  • Identified commonalities and differences in logical models of mitosis from yeasts to mammals.
  • Compared the functional structure of regulatory circuits across different models.
  • Demonstrated the utility of a common logical framework for comparative analysis.

Conclusions:

  • Qualitative modeling approaches are valuable for building and analyzing simplified, yet rigorous, dynamical models of complex biological processes.
  • These methods offer a practical alternative or complement to quantitative modeling, especially when data is scarce.
  • Qualitative modeling holds significant promise for advancing our understanding of the cell cycle and other biological systems.