English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Computational models have become an essential part of exploratory protocolsin cell biology, as a complement to in vivo or in vitro experiments. Thesevirtual models have the twofold advantage of enabling access to new types ofdata and validate complex theories. The design of mechanically functionalizedbiomaterials or scaffolds, to promote cell proliferation and invasion in theabsence or in the complement of synthetic chemical coatings, can certainlybenefit from these hybrid testing approaches. The underlying fundamentalprocess of cell migration and in particular its dependence on the cellmechanical/geometrical environment remains crudely understood. Currently atleast two theories explain the migration patterns observed by cells on curvedtopographies, involving either polymerization dynamics of actin or assemblydynamics of focal adhesions. We recently proposed a third mechanism relying onnucleus mechanosensitivity, which has been tested extensively experimentallyand computationally. We now explore the hypothesis that nucleosensitivity couldbe a mechanism for cells to optimally find microenvironments suited formitosis, providing mechanical stability and relaxation. By means of acomputational mechanical model with intracellular structure detail, weinvestigate how the complex interplay between this new migration mechanism andthe microenvironment topography can lead to more relaxed cells and organelles.To go further, we simulated in this study cell migration via a novel protocolin silico which generates dynamical ripple wave on a deformable substrate andchanges topography over time. This kind of in silico protocols based on a newunderstanding of cell migration and nucleosensitivity could, therefore, informthe design of optimized scaffold topographies for cell invasion andproliferation.

Designing Optimal Scaffold Topographies to Promote Nucleus-Guided Mechanosensitive Cell Migration Using in Silico Models