Microbial Synthetic Epigenetic Tools Design and Applications

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-05-17 DOI:10.1021/acssynbio.4c00125

Irene Komera, Xiulai Chen, Liming Liu and Cong Gao*,

引用次数: 0

Abstract

Microbial synthetic epigenetics offers significant opportunities for the design of synthetic biology tools by leveraging reversible gene control mechanisms without altering DNA sequences. However, limited understanding and a lack of technologies for thorough analysis of the mechanisms behind epigenetic modifications have hampered their utilization in biotechnological applications. In this review, we explore advancements in developing epigenetic-based synthetic gene regulatory tools at both transcriptional and post-transcriptional levels. Furthermore, we examine strategies developed to construct epigenetic-based circuits that provide controllable and stable gene regulation, aiming to boost the performance of microbial chassis cells. Finally, we discuss the current challenges and perspectives in the development of synthetic epigenetic tools.

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微生物合成表观遗传工具的设计与应用。

微生物合成表观遗传学在不改变 DNA 序列的情况下利用可逆的基因控制机制，为设计合成生物学工具提供了重要机会。然而，由于对表观遗传修饰机制的了解有限，而且缺乏对其进行透彻分析的技术，因此阻碍了表观遗传修饰在生物技术领域的应用。在本综述中，我们将探讨在转录和转录后水平上开发基于表观遗传的合成基因调控工具的进展。此外，我们还研究了构建基于表观遗传学的电路的策略，这些电路可提供可控和稳定的基因调控，旨在提高微生物底盘细胞的性能。最后，我们讨论了当前合成表观遗传工具开发所面临的挑战和前景。

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来源期刊

ACS Synthetic Biology 生物-

CiteScore

8.00

自引率

10.60%

发文量

380

审稿时长

6-12 weeks

期刊介绍： The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.