Chemical and Biological Engineering - Systems Biology, Chalmers University of Technology, Kemigården 4, Göteborg, 41296, Sweden.
Adv Biochem Eng Biotechnol. 2010;120:51-99. doi: 10.1007/10_2009_59.
The field of industrial biotechnology is expanding rapidly as the chemical industry is looking towards more sustainable production of chemicals that can be used as fuels or building blocks for production of solvents and materials. In connection with the development of sustainable bioprocesses, it is a major challenge to design and develop efficient cell factories that can ensure cost efficient conversion of the raw material into the chemical of interest. This is achieved through metabolic engineering, where the metabolism of the cell factory is engineered such that there is an efficient conversion of sugars, the typical raw materials in the fermentation industry, into the desired product. However, engineering of cellular metabolism is often challenging due to the complex regulation that has evolved in connection with adaptation of the different microorganisms to their ecological niches. In order to map these regulatory structures and further de-regulate them, as well as identify ingenious metabolic engineering strategies that full-fill mass balance constraints, tools from systems biology can be applied. This involves both high-throughput analysis tools like transcriptome, proteome and metabolome analysis, as well as the use of mathematical modeling to simulate the phenotypes resulting from the different metabolic engineering strategies. It is in fact expected that systems biology may substantially improve the process of cell factory development, and we therefore propose the term Industrial Systems Biology for how systems biology will enhance the development of industrial biotechnology for sustainable chemical production.
工业生物技术领域正在迅速发展,因为化学工业正在寻求更可持续的化学品生产方法,这些化学品可以用作燃料或生产溶剂和材料的基础。在开发可持续生物工艺的过程中,设计和开发能够确保高效地将原材料转化为所需化学品的高效细胞工厂是一个主要挑战。这可以通过代谢工程来实现,通过对细胞工厂的代谢进行工程设计,使得糖(发酵工业中典型的原材料)有效地转化为所需的产品。然而,由于与不同微生物适应其生态位相关的复杂调节,细胞代谢的工程设计通常具有挑战性。为了绘制这些调控结构并进一步去调控它们,以及确定满足质量平衡约束的巧妙代谢工程策略,系统生物学的工具可以被应用。这包括高通量分析工具,如转录组、蛋白质组和代谢组分析,以及使用数学建模来模拟不同代谢工程策略产生的表型。事实上,人们期望系统生物学可以极大地改进细胞工厂开发的过程,因此我们提出了工业系统生物学这个术语,用于描述系统生物学如何增强可持续化学生产的工业生物技术的发展。