合成生物学
计算生物学
终端(太阳能)
抄写(语言学)
生物
基因
核糖核酸
计算机科学
遗传学
物理
电离层
语言学
哲学
天文
作者
Baiyang Liu,James Chappell
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 87-97
被引量:1
标识
DOI:10.1007/978-1-0716-2421-0_5
摘要
A major goal of synthetic biology has been to develop libraries of versatile genetic regulators that enable the precise control of gene expression. In recent years, the creation of novel RNA design motifs has allowed for the bottom-up, computational design of large libraries of high-performing and orthogonal RNA regulator systems. One example of this is Small Transcription Activating RNAs (STARs), which function through the conditional formation of terminator hairpins to activate the transcription of targeted genes. STARs have found broad utility for creating synthetic gene circuits, engineering metabolic pathways, and creating new types of diagnostics. Here we describe the method to computationally design, build, and characterize STAR regulators.
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