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Regulation of Gene Expression Through Effector-dependent Conformational Switching by Cobalamin Riboswitches

核糖开关 计算生物学 核糖核酸 折叠(DSP实现) 生物 非编码RNA 抄写(语言学) 效应器 核酸结构 化学 生物物理学 遗传学 细胞生物学 基因 电气工程 哲学 工程类 语言学
作者
Shelby R. Lennon,Robert T. Batey
出处
期刊:Journal of Molecular Biology [Elsevier BV]
卷期号:434 (18): 167585-167585 被引量:8
标识
DOI:10.1016/j.jmb.2022.167585
摘要

Riboswitches are an outstanding example of genetic regulation mediated by RNA conformational switching. In these non-coding RNA elements, the occupancy status of a ligand-binding domain governs the mRNA’s decision to form one of two mutually exclusive structures in the downstream expression platform. Temporal constraints upon the function of many riboswitches, requiring folding of complex architectures and conformational switching in a limited co-transcriptional timeframe, make them ideal model systems for studying these processes. In this review, we focus on the mechanism of ligand-directed conformational changes in one of the most widely distributed riboswitches in bacteria: the cobalamin family. We describe the architectural features of cobalamin riboswitches whose structures have been determined by x-ray crystallography, which suggest a direct physical role of cobalamin in effecting the regulatory switch. Next, we discuss a series of experimental approaches applied to several model cobalamin riboswitches that interrogate these structural models. As folding is central to riboswitch function, we consider the differences in folding landscapes experienced by RNAs that are produced in vitro and those that are allowed to fold co-transcriptionally. Finally, we highlight a set of studies that reveal the difficulties of studying cobalamin riboswitches outside the context of transcription and that co-transcriptional approaches are essential for developing a more accurate picture of their structure–function relationships in these switches. This understanding will be essential for future advancements in the use of small-molecule guided RNA switches in a range of applications such as biosensors, RNA imaging tools, and nucleic acid-based therapies.

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