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Actin Filament Depolymerization01:19

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Actin filaments undergo polymerization and depolymerization from either end. The polymerization and depolymerization rates depend on the cytosolic concentration of free G-actins. The polymerization rate is generally higher at the plus or barbed end, while the depolymerization rate is higher at the minus or pointed end. At a steady state, critical concentration describes the concentration of free G-actin monomers at which the polymerization rate at the plus end is equal to that of the...
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Filopodia are thin, actin-rich cellular protrusions that play an important role in many fundamental cellular functions. They vary in their occurrence, length, and positioning in different cell types, suggesting their diverse roles.
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Formation of Intermediate Filaments00:57

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Intermediate filaments are cytoskeletal proteins with higher tensile strength and flexibility than microfilaments and microtubules. Unlike the other two cytoskeletal proteins, intermediate filament formation lacks the enzymatic activity to hydrolyze nucleotides like ATP and GTP to generate energy for polymerization. Therefore, the formation of intermediate filaments is multistep self-assembly. The involvement of any accessory proteins in intermediate filament formation has not yet been...
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Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
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Using Microfluidics and Fluorescence Microscopy to Study the Assembly Dynamics of Single Actin Filaments and Bundles
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Control of filament length by a depolymerizing gradient.

Arnab Datta1, David Harbage1, Jane Kondev1

  • 1Department of Physics, Brandeis University, Waltham, Massachusetts, United States of America.

Plos Computational Biology
|December 4, 2020
PubMed
Summary
This summary is machine-generated.

Cells control filament length using depolymerization gradients. This study models linear and exponential gradients, revealing how biochemical parameters influence length distributions in organisms like Chlamydomonas.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Systems Biology

Background:

  • Cells build dynamic, microns-long filamentous structures from nanometer-sized protein monomers.
  • Precise regulation of these filament lengths is crucial for cellular function.
  • Length-dependent depolymerization is a proposed mechanism for controlling filament length.

Purpose of the Study:

  • To investigate length-dependent depolymerization as a filament length control mechanism.
  • To analyze linear and exponential gradients of depolymerizing proteins (e.g., kinesin-13).
  • To explore the impact of limited monomer pools on length distributions in coupled systems like Chlamydomonas flagella.

Main Methods:

  • Analytical computation of filament length probability distributions for linear and exponential depolymerizing protein gradients.
  • Identification of a dimensionless number that governs length distributions based on biochemical parameters.
  • Modeling the effect of a shared, limited monomer pool on length distributions.

Main Results:

  • Analytical models predict filament length distributions controlled by key biochemical parameters via a dimensionless number.
  • The study considers the influence of limited monomer supply on length regulation in systems with coupled assembly dynamics.
  • Computed mean lengths align with experimental observations, though predicted noise levels are lower than experimentally measured fluctuations.

Conclusions:

  • Length-dependent depolymerization, driven by protein gradients, is a viable mechanism for cellular filament length control.
  • A dimensionless parameter effectively characterizes how biochemical factors influence filament length distributions.
  • While models match mean lengths, further investigation is needed to explain the discrepancy in observed length fluctuations.