Biomimetics Models of Cellular Motility
A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Development of Biomimetic Methodology".
Deadline for manuscript submissions: closed (5 December 2023) | Viewed by 1951
Special Issue Editor
Special Issue Information
Dear Colleagues,
Cellular motility, defined as the capacity of cells to self-propel their motion, is a fundamental process underlying many biological phenomena, ranging from the single bacteria foraging for food, to the complex interplay of cells during immune response, wound healing, or embryonic development. Recent advances in computational capabilities and experimental data acquisition have catalyzed the development of accurate biomimetic models of cellular motility. These models are crucial for understanding the underpinnings of various physiological and pathological events, such as neural development, angiogenesis, chronic inflammation, or cancer metastasis. Fundamentally, cellular motility arises as the result of the interplay between deterministic and stochastic influences. Deterministic cues include chemotactic gradients, mechanical and geometrical properties of the surrounding environment, or external electric fields. Stochastic components are represented by a myriad of random fluctuations inherent to biological systems, such as intercellular signaling, molecular noise due to detection of biomolecules at very small concentrations, biochemical reactions taking place inside the cell, genetic variability, signal transduction, polymerization of cytoskeletal elements, etc. Biomimetic models based on stochastic differential equations have proven very effective for capturing the intricacies of cellular motility. Examples of such models include biased random walk models, Markov chains, Keller–Segel chemotaxis models, and models based on the Langevin and Fokker–Planck stochastic differential equations. Motivated by these insights, our aim is to establish a platform where current breakthroughs and developments in stochastic modelling of cellular motility can be gathered together and shared with the research community. We aim to feature articles that encapsulate the latest innovations, as well as those that introduce fresh perspectives and pioneer novel research avenues in this fascinating and rapidly evolving field. We are looking forward to your contributions.
Dr. Cristian Staii
Guest Editor
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Keywords
- motility
- cellular movement
- cell migration
- neural networks
- stochastic processes
- random walk
- complex systems
- mathematical modelling
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