Self-Organized 3D Tissue Patterns: Fundamentals, Design, and Experiments

The use of scaffolds to mold artificial tissue structures is limited by their mechanical precision, degradation, and immunogenic reactions. This book investigates the 3D-pattern formation and evolution mechanism in multipotent cells embedded in 3D semi-synthetic hydrogels and the control methodology for self-organized patterns. It provides a unique perspective for understanding the self-organized 3D tissue structures based on Turing instability, a scheme for rationally controlling cellular self-organization, and a regulating method for tuning collective cellular behaviors in 3D matrices.

Format: Hardback
Length: 138 pages
Publication date: 01 April 2022
Publisher: Jenny Stanford Publishing

Therapies for regenerating damaged tissue and organs have garnered significant attention in recent years, as researchers seek to develop effective strategies to restore the functions of living tissue and organs. In this pursuit, scaffolds have been employed as tools to "mold" artificial tissue structures, aiming to replicate the complex structural complexity of reconstituted tissue. However, the mechanical precision of scaffolds remains a limiting factor, leading to issues such as degradation, immunogenic reactions, and other complications.

It is becoming increasingly evident that the ultimate solution may lie in harnessing the innate self-organizing properties of cells and the regenerative capabilities of the organism itself. This book delves into the 3D-pattern formation and evolution mechanism in multipotent cells embedded in 3D semi-synthetic hydrogels, exploring the control methodologies for self-organized patterns. The authors present theoretical and experimental demonstrations of various types of topological 3D-pattern formation by cells within a 3D matrix in vitro, which can be modeled and predicted using mathematical models based on reaction-diffusion dynamics of various chemical, physical, and mechanical cues.

The study, centered on the 3D pattern formation of cells, offers several key insights. Firstly, it provides a unique perspective for understanding the self-organized 3D tissue structures based on Turing instability. Secondly, it presents a scheme for rationally controlling the cellular self-organization through exogenous factors or tailored inner interfaces inside hydrogels. Thirdly, it offers an elaborate and sophisticated regulating method for tuning collective cellular behaviors in 3D matrices.

By unraveling the mechanisms underlying 3D-pattern formation in cells, this book contributes to the field of regenerative medicine and tissue engineering. It holds the potential to revolutionize the development of personalized medical treatments and therapies, as well as advance our understanding of the complex processes involved in tissue regeneration and repair. The insights gained from this research can also be applied to other fields, such as biofabrication, tissue engineering, and materials science, where the creation of complex 3D structures is crucial.

In conclusion, the 3D-pattern formation and evolution mechanism in multipotent cells embedded in 3D semi-synthetic hydrogels is a promising area of research that holds great potential for advancing our understanding of tissue regeneration and repair. This book provides valuable insights into the control methodologies for self-organized patterns and offers a roadmap for developing innovative therapies and technologies in this field.

Dimension: 229 x 152 (mm)
ISBN-13: 9789814877770