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E-grāmata: Self-Organized 3D Tissue Patterns: Fundamentals, Design, and Experiments [Taylor & Francis e-book]

(Hohai University, China, People's Republic),
  • Formāts: 138 pages, 1 Tables, black and white; 7 Line drawings, color; 9 Line drawings, black and white; 8 Halftones, color; 9 Halftones, black and white; 15 Illustrations, color; 18 Illustrations, black and white
  • Izdošanas datums: 26-May-2022
  • Izdevniecība: Jenny Stanford Publishing
  • ISBN-13: 9781003180395
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  • Taylor & Francis e-book
  • Cena: 142,30 €*
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  • Standarta cena: 203,28 €
  • Ietaupiet 30%
Self-Organized 3D Tissue Patterns: Fundamentals, Design, and ExperimentsPalielināt
  • Formāts: 138 pages, 1 Tables, black and white; 7 Line drawings, color; 9 Line drawings, black and white; 8 Halftones, color; 9 Halftones, black and white; 15 Illustrations, color; 18 Illustrations, black and white
  • Izdošanas datums: 26-May-2022
  • Izdevniecība: Jenny Stanford Publishing
  • ISBN-13: 9781003180395
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003180395
Therapies for regenerating damaged tissue and organs have been attracting much attention. In order to efficiently regenerate the functions of living tissue and organs, diverse attempts have been made to utilize scaffolds to “mold” artificial tissue structures. However, the structural complexity of reconstituted tissue is limited by the mechanical precision of scaffolds, which still cause problems arising from their degradation, immunogenic reactions, and so forth. It is also being realized that ultimately the best approach might be to rely on the innate self-organizing properties of cells and the regenerative capability of the organism itself. 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. The authors theoretically and experimentally demonstrate several types of topological 3D-pattern formation by cells in a 3D matrix in vitro, which can be modeled and predicted by mathematical models based on the reaction-diffusion (RD) dynamics of various chemical, physical, and mechanical cues. This study focused on 3D pattern formation of cells provides (i) a unique perspective for understanding the self-organized 3D tissue structures based on Turing instability, (ii) the scheme for rationally controlling the cellular self-organization via exogenous factors or tailored inner interfaces inside hydrogels, and (iii) the elaborate and sophisticated regulating method for tuning collective cellular behaviors in 3D matrices.

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.
Preface ix
1 Introduction
1(16)
1.1 Research in Tissue Engineering
1(3)
1.2 Traditional Tissue Grafting and Typical Cell Implantation for Skin or Cartilage
4(2)
1.3 Synthetic Structured Scaffold and Decellularized 3D Matrices
6(2)
1.4 Tissue and Organoid Morphogenesis by Regulated Self-Organization Process
8(9)
2 Fundamentals of Three-Dimensional Cell Culture in Hydrogels
17(22)
2.1 Introduction
17(2)
2.2 Experimental Methods for 3D Culture of Cells
19(4)
2.2.1 Cell Culture
20(1)
2.2.2 Hyaluronic Acid Modification
20(1)
2.2.3 VMCs-Laden HA Hydrogel Formation
21(1)
2.2.4 Fixation and Fluorescent Staining
22(1)
2.2.5 3D Visualization Using Selective Plane Illumination Microscopy
22(1)
2.2.6 Measuring Cell Proliferation in 3D HA Hydrogels
23(1)
2.3 Results and Discussion for 3D Microtissue Patterns Emerged in HA Hydrogels
23(10)
2.3.1 Generation of 3D Structures Composed of Aggregated Cells
23(4)
2.3.2 Influence of Component Proportion on Self-Organization of VMCs in HA Hydrogel
27(1)
2.3.3 Cytotoxicity of Modified Dextran Hydrogels and Cellular Proliferation measurement in Hydrogels
28(4)
2.3.4 Discussion on Self-Organization of Cells in 3D Hydrogel with Quantitatively Tunable Components
32(1)
2.4 Summary
33(6)
3 Three-Dimensional Patterns of Tissues Emerging in Hydrogels
39(20)
3.1 Background
39(2)
3.2 Experimental Methods for 3D Culture of Cells
41(3)
3.2.1 Cell Culture
41(1)
3.2.2 HA Modification
42(1)
3.2.3 VMCs-Laden HA Hydrogel Formation
42(1)
3.2.4 Fixation and Fluorescent Staining
43(1)
3.2.5 Clustered Encapsulation of Cells in 3D HA Hydrogels
43(1)
3.2.6 3D Visualization Using Selective Plane Illumination Microscopy
43(1)
3.3 Results and Discussion for 3D Microtissue Patterns Emerging in Ha Hydrogels
44(9)
3.3.1 3D Pattern Formation of VMCs in Modified HA Hydrogel
44(2)
3.3.2 Generation of Varying Morphologies of 3D Structures Composed of Aggregated Cells
46(6)
3.3.3 Mapping Combined Effects of Exogenous Factors
52(1)
3.4 Summary
53(6)
4 Constructing 3D Tissue Structures via Cellular Self-Assembly at Patterned Interfaces inside Hydrogel
59(18)
4.1 Background
59(2)
4.2 Materials and Methods
61(3)
4.2.1 Cell Culture
61(1)
4.2.2 HA Modification
61(1)
4.2.3 HA Hydrogel Synthesis
62(1)
4.2.4 Rheology Measurement of Hydrogel
62(1)
4.2.5 Fabrication of 2D Interface
63(1)
4.2.6 3D Imaging
64(1)
4.3 Experiment Results
64(8)
4.3.1 Multicellular Network and Branching Structures inside HA Hydrogels
64(3)
4.3.2 Multicellular Network inside HA Hydrogels with Low Stiffness and Higher Stiffness
67(1)
4.3.3 Controllable Large-Dimensional Tube Formation at Interface of High-Stiffness and Low-Stiffness Gels
68(4)
4.4 Summary
72(5)
5 Modeling Cellular Self-Assembly at Patterned Interfaces inside Hydrogel via Turing's Reaction-Diffusion Frame
77(18)
5.1 Introduction
77(3)
5.2 Theoretical Model
80(3)
5.3 Simulation Results and Discussion
83(8)
5.4 Summary
91(4)
6 Tuning Cellular Behaviors during Self-Organization of Cells in Hydrogel by Changing Inner Nano-Structure of Hydrogel
95(36)
6.1 Introduction
95(3)
6.2 Materials and Methods
98(7)
6.2.1 3D Dextran Hydrogel
98(1)
6.2.2 Cell Preparation
99(1)
6.2.3 RGD-Homogenous Hydrogel Fabrication
100(1)
6.2.4 RGD-Clustered Hydrogel Fabrication
100(1)
6.2.5 SEM Imaging
101(1)
6.2.6 Rheology Measurement
102(1)
6.2.7 Live/Dead Test
102(1)
6.2.8 Bright Field Imaging
103(1)
6.2.9 F-actin Staining
103(1)
6.2.10 DAPI Staining
103(1)
6.2.11 LSCM Imaging
104(1)
6.2.12 Nucleus Circularity Measuring Method
104(1)
6.2.13 Gel Degradation
104(1)
6.2.14 Data Statistics
105(1)
6.3 Results
105(11)
6.3.1 Microgeometry and Rheological Properties of Dextran Hydrogel
105(1)
6.3.2 Cellular Morphology and Behaviors in RGD-Homogenous Dextran Hydrogel
106(5)
6.3.3 Cell-Adhesive Efficacy of RGD Clustering Dextran Hydrogels
111(2)
6.3.4 Cell Spreading, Elongation, and Connection in RGD-Clustering Dextran Hydrogels
113(3)
6.4 Discussion
116(8)
6.4.1 Fundamental Comparison on Cellular Morphology and Behaviors in 2D Petri Dishes and 3D Dextran Hydrogel
116(2)
6.4.2 Cellular Morphology and Behaviors in RGD-Homogenous and RGD-Clustered Dextran Hydrogel
118(2)
6.4.3 Local Stiffness Variation Influenced by RGD Distributions in Hydrogels
120(1)
6.4.4 Significance of Cellular Behaviors Influenced by Averaged Concentration of RGD in Hydrogels
121(2)
6.4.5 Effect of Stiffness-Heterogeneity with Large Fluctuation and RGD Clustering Induced Stiffness-Heterogeneity with Small Variation
123(1)
6.5 Summary
124(7)
Index 131
Xiaolu Zhu is Associate Professor at Hohai University, China. He graduated from Southeast University, China, in 2007 and obtained a PhD in 2014. He worked as a research scholar at the University of California, Los Angeles, from 2011 to 2013. His work is currently focused on understanding and controlling self-organized 3D patterns of cells and hydrogel-based biofabrication.

Zheng Wang is currently a masters student at the University of Hong Kong. He obtained his bachelors degree from Hohai University in 2020. He is working on the development of the applications of hydrogels in the regulation of cellular behaviors and on the quantification of the relationships between cellular behaviors and the physical properties of the extracellular matrix.
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