Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.
Faculty of Science, University of Basel, Mattenstrasse 26, 4058, Basel, Switzerland.
Angew Chem Int Ed Engl. 2017 Jun 1;56(23):6396-6419. doi: 10.1002/anie.201609229. Epub 2017 Apr 25.
Synthetic biology concerns the engineering of man-made living biomachines from standardized components that can perform predefined functions in a (self-)controlled manner. Different research strategies and interdisciplinary efforts are pursued to implement engineering principles to biology. The "top-down" strategy exploits nature's incredible diversity of existing, natural parts to construct synthetic compositions of genetic, metabolic, or signaling networks with predictable and controllable properties. This mainly application-driven approach results in living factories that produce drugs, biofuels, biomaterials, and fine chemicals, and results in living pills that are based on engineered cells with the capacity to autonomously detect and treat disease states in vivo. In contrast, the "bottom-up" strategy seeks to be independent of existing living systems by designing biological systems from scratch and synthesizing artificial biological entities not found in nature. This more knowledge-driven approach investigates the reconstruction of minimal biological systems that are capable of performing basic biological phenomena, such as self-organization, self-replication, and self-sustainability. Moreover, the syntheses of artificial biological units, such as synthetic nucleotides or amino acids, and their implementation into polymers inside living cells currently set the boundaries between natural and artificial biological systems. In particular, the in vitro design, synthesis, and transfer of complete genomes into host cells point to the future of synthetic biology: the creation of designer cells with tailored desirable properties for biomedicine and biotechnology.
合成生物学涉及从标准化组件构建人工生物机器的工程,这些组件可以以(自我)控制的方式执行预定义的功能。不同的研究策略和跨学科努力被用于将工程原理应用于生物学。“自上而下”的策略利用自然界中现存的、天然部分的令人难以置信的多样性,构建具有可预测和可控特性的遗传、代谢或信号网络的合成组成。这种主要由应用驱动的方法产生了能够生产药物、生物燃料、生物材料和精细化学品的生物工厂,以及基于具有自主检测和治疗体内疾病状态能力的工程细胞的生物工厂。相比之下,“自下而上”的策略通过从头开始设计生物系统并合成自然界中不存在的人工生物实体,试图独立于现有的生命系统。这种更以知识为驱动的方法研究了能够执行基本生物学现象(如自我组织、自我复制和自我可持续性)的最小生物系统的重建。此外,人工生物单元的合成,如合成核苷酸或氨基酸,以及它们在活细胞内聚合物中的实施,目前设定了自然和人工生物系统之间的界限。特别是,完整基因组在体外的设计、合成和转移到宿主细胞中,指向了合成生物学的未来:创造具有定制理想特性的设计师细胞,用于生物医学和生物技术。