Fundamentals and Exceptions of the LysR-type Transcriptional Regulators.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-09-22 DOI:10.1021/acssynbio.4c00219
Wouter Demeester, Brecht De Paepe, Marjan De Mey
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Abstract

LysR-type transcriptional regulators (LTTRs) are emerging as a promising group of macromolecules for the field of biosensors. As the largest family of bacterial transcription factors, the LTTRs represent a vast and mostly untapped repertoire of sensor proteins. To fully harness these regulators for transcription factor-based biosensor development, it is crucial to understand their underlying mechanisms and functionalities. In the first part, this Review discusses the established model and features of LTTRs. As dual-function regulators, these inducible transcription factors exude precise control over their regulatory targets. In the second part of this Review, an overview is given of the exceptions to the "classic" LTTR model. While a general regulatory mechanism has helped elucidate the intricate regulation performed by LTTRs, it is essential to recognize the variations within the family. By combining this knowledge, characterization of new regulators can be done more efficiently and accurately, accelerating the expansion of transcriptional sensors for biosensor development. Unlocking the pool of LTTRs would significantly expand the currently limited range of detectable molecules and regulatory functions available for the implementation of novel synthetic genetic circuitry.

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LysR 型转录调控因子的基本原理与例外。
LysR 型转录调节因子(LTTRs)正在成为生物传感器领域一组前景广阔的大分子。作为最大的细菌转录因子家族,LTTRs 代表了一个庞大的、大部分尚未开发的传感器蛋白库。要充分利用这些调节因子来开发基于转录因子的生物传感器,了解它们的内在机制和功能至关重要。本综述的第一部分讨论了 LTTR 的既定模型和特征。作为双重功能的调控因子,这些可诱导的转录因子对其调控靶标进行精确控制。本综述的第二部分概述了 "经典 "LTTR 模型的例外情况。虽然通用调控机制有助于阐明 LTTRs 所执行的复杂调控,但认识到该家族内部的变异也是至关重要的。结合这些知识,可以更高效、更准确地鉴定新的调控因子,从而加快转录传感器的发展,促进生物传感器的开发。打开 LTTRs 库将极大地扩展目前有限的可检测分子和调控功能的范围,从而实现新型合成遗传电路。
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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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