Deadline for manuscript submissions: 31 March 2024.
Topic Introduction
Synthetic biology is a rapidly evolving field that combines elements of engineering, biology, and AI/computer science to create and modify biological systems with unprecedented precision and control. This special issue aims to showcase the latest advancements in synthetic biology and their applications in therapeutics and healthcare. The collection will cover a broad range of topics, including gene editing technologies, engineered cells and tissues, novel drug delivery systems, microbiome engineering and the development of innovative diagnostic tools. Additionally, the issue will explore the ethical, legal, and social implications of synthetic biology in medicine and discuss the challenges and opportunities for the future of this exciting field.
Keywords
Pattern formation is a fundamental process in biological development, enabling the transformation of initially uniform or random states into spatially ordered structures. A comprehensive understanding of the formation and function of these patterns is crucial for unraveling the underlying principles of biological design and engineering. In recent years, synthetic biology has emerged as a powerful discipline for investigating and manipulating pattern formation in biological systems, involving the design and construction of novel biological components, circuits, and networks with specific functionalities. The integration of computational simulations (in silico) and experimental techniques (wet lab) in synthetic biology has significantly advanced our knowledge of pattern formation and its implications in biological design and engineering. This review provides an overview of the computational simulations employed in studying pattern formation and introduces the representative and cutting-edge experimental methods utilized in wet labs.
