酿酒酵母菌转录后生物电路的工程与标准化。

IF 1.5 4区 生物学 Q4 CELL BIOLOGY Integrative Biology Pub Date : 2021-08-12 DOI:10.1093/intbio/zyab013
John McCarthy
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引用次数: 0

摘要

这篇简短的综述考虑了基因表达的转录后步骤在多大程度上可以为合成生物学和生物技术中新的控制机制和程序提供基础。术语“生物电路”在这里指的是由DNA、RNA或蛋白质组成的功能连接的组件。本文首先概述了正在开发的设备的多样性,然后考虑了试图设计更大规模系统所面临的挑战。虽然基于rna和蛋白质的电路工程提出了新的挑战,但由此产生的组件“工具集”和新的操作机制将为合成生物学开辟多种新的机会。但是,如果要充分实现潜在利益,就需要将商定的标准化程序置于这一不断扩大的领域的核心。
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Engineering and standardization of posttranscriptional biocircuitry in Saccharomyces cerevisiae.

This short review considers to what extent posttranscriptional steps of gene expression can provide the basis for novel control mechanisms and procedures in synthetic biology and biotechnology. The term biocircuitry is used here to refer to functionally connected components comprising DNA, RNA or proteins. The review begins with an overview of the diversity of devices being developed and then considers the challenges presented by trying to engineer more scaled-up systems. While the engineering of RNA-based and protein-based circuitry poses new challenges, the resulting 'toolsets' of components and novel mechanisms of operation will open up multiple new opportunities for synthetic biology. However, agreed procedures for standardization will need to be placed at the heart of this expanding field if the full potential benefits are to be realized.

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来源期刊
Integrative Biology
Integrative Biology 生物-细胞生物学
CiteScore
4.90
自引率
0.00%
发文量
15
审稿时长
1 months
期刊介绍: Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems. Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity. Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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