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Related Concept Videos

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Cell polarity is the asymmetric distribution of cellular and membrane components, making one side of the cell different from the other. This polarity is essential to many processes such as embryogenesis, axon migration, glucose transport across epithelial cells, and directional cell migration. A migrating cell responds to intracellular or extracellular signals via molecular cascades that reorganize the actin cytoskeleton to establish this polarity. In these cells, the Rho family proteins Cdc42,...
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The intrinsic polarity of cells can be primarily attributed to two factors- i) the asymmetric accumulation of mobile components such are regulatory molecules and subcellular components across the cell and ii) the orientation of polar cytoskeletal filaments that make up the cytoskeletal networks, specifically microfilaments, and microtubules arranged along the axis of polarity. Interactions between the cytoskeletal filaments are crucial for the establishment and maintenance of the polar nature...
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A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...
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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
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Balancing reaction-diffusion network for cell polarization pattern with stability and asymmetry.

Yixuan Chen1,2,3, Guoye Guan1,4,5, Lei-Han Tang1,5

  • 1South Bay Interdisciplinary Science Center, Songshan Lake Materials Laboratory, Dongguan, China.

Elife
|July 22, 2025
PubMed
Summary
This summary is machine-generated.

Cell polarization, crucial for cell division and differentiation, can be destabilized by certain network modifications. However, combining opposing effects or tuning parameters with spatial cues can restore and stabilize polarized patterns.

Keywords:
C. elegansCaenorhabditis elegansasymmetrycell polarizationcomputational biologyembryogenesisphysics of living systemsreaction-diffusion networkstabilitysystems biology

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Area of Science:

  • Cell Biology
  • Systems Biology
  • Biophysics

Background:

  • Cell polarization is fundamental for cell division and differentiation in both prokaryotic and eukaryotic cells.
  • Existing reaction-diffusion networks explain cell polarization, but manipulating pattern stability and asymmetry is not fully understood, especially with incomplete network knowledge.

Purpose of the Study:

  • To investigate how modifications to antagonistic reaction-diffusion networks affect cell polarization patterns.
  • To explore methods for restoring and stabilizing polarized patterns in cellular systems.
  • To develop a computational tool for simulating and analyzing gene regulatory networks.

Main Methods:

  • Numerical simulations of a 2-node antagonistic network under various regulatory conditions and parameter variations.
  • Reconstitution and simulation of a 5-node network inspired by *Caenorhabditis elegans* zygote polarity.
  • Development of user-friendly software, PolarSim, for network exploration.

Main Results:

  • Single-sided self-regulation, additional regulation, or unequal parameters destabilize polarized patterns in a 2-node network, leading to homogeneous states.
  • Combining opposing modifications can restore polarity, and spatially inhomogeneous parameters stabilize domain interfaces.
  • A reconstituted 5-node network showed that parameter tuning, especially with spatial cues, can stabilize polarized patterns.

Conclusions:

  • Understanding network component interactions is key to controlling cell polarization.
  • Computational modeling and simulation tools like PolarSim are valuable for exploring complex biological systems.
  • The study provides insights into stabilizing cell polarity, relevant to developmental biology and disease research.