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The Cell Cycle Control System

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...

The Cell Cycle Control System

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...

Positive Regulator Molecules

Positive Regulator Molecules

To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.

Positive Regulator Molecules

Positive Regulator Molecules

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.

Cells Coordinate Growth and Proliferation

Cells Coordinate Growth and Proliferation

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,...

M-Cdk Drives Transition Into Mitosis

M-Cdk Drives Transition Into Mitosis

Checkpoints throughout the cell cycle serve as safeguards and gatekeepers, allowing the cell cycle to progress in favorable conditions and slow or halt it in problematic ones. This regulation is known as the cell cycle control system.
Cyclin-dependent kinases, or Cdks, work in concert with cyclins to control cell cycle transitions. M-Cdk, a complex of Cdk1 bound to M cyclin, is a well-known example of this coordinated control that drives the transition from the G2 to the M phase.
M cyclin...

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Related Experiment Video

Updated: Mar 15, 2026

Analysis of Cell Cycle Position in Mammalian Cells

Analysis of Cell Cycle Position in Mammalian Cells

Published on: January 21, 2012

Logical model specification aided by model-checking techniques: application to the mammalian cell cycle regulation.

Pauline Traynard¹, Adrien Fauré², François Fages³

¹Computational Systems Biology Team, Institut de Biologie de L'Ecole Normale Supérieure (IBENS), CNRS, Inserm, Ecole Normale Supérieure, PSL Research University, Paris, France EPI Lifeware, Inria Inria Saclay Ile-de-France, Palaiseau, France.

Bioinformatics (Oxford, England)

|September 3, 2016

Summary

This study applies model-checking to biological regulatory networks, analyzing the mammalian cell cycle model without kinetic assumptions. The findings reveal key cell cycle dynamics, including irreversible transitions and cyclin activation.

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Area of Science:

Systems Biology
Computational Biology
Molecular Systems Biology

Background:

Analyzing biological regulatory networks requires formal models integrating molecular information.
Model dynamics analysis faces challenges due to combinatorial complexity with increasing components and interactions.

Purpose of the Study:

To apply model-checking techniques for verifying dynamical properties of biological networks.
To analyze the mammalian cell cycle logical model without kinetic assumptions.

Main Methods:

Utilizing model-checking techniques to verify sophisticated dynamical properties.
Analyzing a logical model of the mammalian cell cycle molecular network.

Main Results:

Demonstrated the power of model-checking for systematic analysis of model properties and limitations.
The logical model accurately represents mammalian cell cycle phases, cyclin activation, Skp2 inhibition, and Rb's role.
Identified model limitations and assessed potential refinements based on experimental data.

Conclusions:

Model-checking offers a robust approach for analyzing complex biological networks.
The developed model provides insights into cell cycle regulation and highlights the multifunctional role of Rb.