Engineering Noncanonical Cofactors To Expand Cellular Functions

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Samuel Lim,  and , Scott Banta*, 
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引用次数: 0

Abstract

Synthetic biology often employs heterologous enzymatic reactions to reprogram cell metabolism or otherwise introduce novel functions. However, precise control of a particular metabolic pathway can be difficult to achieve because cofactors are shared with endogenous enzymes from a common pool. Recently, the use of noncanonical cofactors (NCCs) has emerged as a promising approach to bypass this problem by isolating desired reactions without the need for a physical barrier. Metabolic pathways that exclusively utilize NCCs can be insulated from the native machinery of the host cell, allowing them to function independently of the thermodynamic constraints imposed by sharing cofactors. This perspective explores the different types of NCCs and their synthesis methods, advancements in engineering NCC-dependent enzymes, and the potential applications of NCC-utilizing cells across various areas of synthetic biology.

Abstract Image

工程非规范辅助因子扩展细胞功能。
合成生物学经常使用异源酶反应来重编程细胞代谢或引入新的功能。然而,对特定代谢途径的精确控制可能很难实现,因为辅因子与来自共同池的内源性酶共享。最近,使用非规范辅助因子(NCCs)已经成为一种很有前途的方法,通过隔离所需的反应而不需要物理屏障来绕过这个问题。专门利用NCCs的代谢途径可以与宿主细胞的天然机制隔离,使它们能够独立于共享辅因子所施加的热力学约束而发挥作用。这一观点探讨了不同类型的ncc及其合成方法,工程ncc依赖酶的进展,以及ncc利用细胞在合成生物学各个领域的潜在应用。
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来源期刊
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.
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