Optimized Phage Display-Based Selection for the Development of Heterodimerizing Optogenetic Tools.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-06-20 Epub Date: 2025-05-08 DOI:10.1021/acssynbio.5c00167
Giang N T Le, Jaewan Jang, Maruti Uppalapati, G Andrew Woolley
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引用次数: 0

Abstract

Multiple display techniques, including phage display, mRNA display, and ribosome display, have been used to expand the optogenetic toolbox beyond what nature provides. These techniques are most often applied to the development of binding partners that selectively recognize different conformational states of photoswitchable proteins. However, for some targets, in particular the spectrally diverse cyanobacteriochrome (CBCR) GAF domain family, the subtle differences between conformational states pose a significant challenge to discovering highly selective binders. We present an optimized phage display-based protocol designed to effectively capture these subtle changes. This optimized protocol applies high selection pressure by changing the elution method and tightening negative selection, leading to the enrichment of selective binders. Through multiple selection campaigns, we demonstrate the utility of this protocol for identifying highly selective binders.

基于噬菌体展示的优化选择开发异二聚化光遗传工具。
多种展示技术,包括噬菌体展示、mRNA展示和核糖体展示,已被用于扩展光遗传学工具箱,超出了自然提供的范围。这些技术最常应用于选择性识别光切换蛋白不同构象状态的结合伙伴的开发。然而,对于某些靶标,特别是光谱多样化的蓝藻色素(CBCR) GAF结构域家族,构象状态之间的细微差异对发现高选择性结合物构成了重大挑战。我们提出了一种优化的基于噬菌体显示的方案,旨在有效地捕捉这些细微的变化。优化后的方案通过改变洗脱方法和收紧负选择施加高选择压力,导致选择性结合物富集。通过多次选择活动,我们证明了该协议的实用性,以确定高选择性的粘合剂。
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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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