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Form-finding model shows how cytoskeleton network stiffness is realized
- Source :
- PLoS ONE, PLoS ONE, Vol 8, Iss 10, p e77417 (2013)
- Publication Year :
- 2013
-
Abstract
- In eukaryotic cells the actin-cytoskeletal network provides stiffness and the driving force that contributes to changes in cell shape and cell motility, but the elastic behavior of this network is not well understood. In this paper a two dimensional form-finding model is proposed to investigate the elasticity of the actin filament network. Utilizing an initially random array of actin filaments and actin-cross-linking proteins the form-finding model iterates until the random array is brought into a stable equilibrium configuration. With some care given to actin filament density and length, distance between host sites for cross-linkers, and overall domain size the resulting configurations from the form-finding model are found to be topologically similar to cytoskeletal networks in real cells. The resulting network may then be mechanically exercised to explore how the actin filaments deform and align under load and the sensitivity of the network's stiffness to actin filament density, length, etc. Results of the model are consistent with the experimental literature, e.g. actin filaments tend to re-orient in the direction of stretching; and the filament relative density, filament length, and actin-cross-linking protein's relative density, control the actin-network stiffness. The model provides a ready means of extension to more complicated domains and a three-dimensional form-finding model is under development as well as models studying the formation of actin bundles.
- Subjects :
- Random array
lcsh:Medicine
macromolecular substances
Models, Biological
Quantitative Biology::Cell Behavior
Protein filament
Quantitative Biology::Subcellular Processes
medicine
Relative density
Humans
Elasticity (economics)
Cytoskeleton
lcsh:Science
Actin
Physics
Multidisciplinary
lcsh:R
Stiffness
Actin cytoskeleton
Biomechanical Phenomena
Actin Cytoskeleton
lcsh:Q
medicine.symptom
Biological system
Algorithms
Research Article
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 8
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....4c47ad5a3bd9e545349500b60899a09f