A Standardized Toolkit for Programmable Protein Secretion and Surface Display in Bacteroides thetaiotaomicron

IF 4.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2026-09-18 Epub Date: 2026-08-12 DOI:10.1021/acssynbio.6c00378
Yu-Hsuan Yeh, Shannon J. Sirk
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引用次数: 0

Abstract

Bacteroides thetaiotaomicron (Bt), a dominant bacterial species in the human gut, is a promising chassis for engineering in situ therapeutic delivery systems. Previously, we developed a secretion toolkit composed of endogenous lipoprotein signal peptides (SPs) and full-length secretory proteins from Bt. However, due to variations in length, structure, and amino-acid sequence, these SPs exhibited inconsistent secretion efficiencies across different cargo proteins. Because the activity of individual SP-cargo pairs is not readily predictable, screening and optimization are often required to achieve target secretion titers. To enhance the utility of our toolbox, we studied the impact of different SP sequence components on protein secretion and then applied this knowledge to develop a standardized toolkit to enable predictable and tunable protein secretion across diverse SP-cargo pairs. To achieve this, we first identified the lipoprotein export sequence (LES) as the key determinant of efficient secretion of heterologous proteins by lipoprotein SPs. We next performed mutagenesis on the LES region of a representative lipoprotein SP to generate a pool of mutants featuring a standardized SP backbone with diversified LES regions. Screening and characterization of this mutant pool revealed a charge-dependent regulation of both secretion and surface display of heterologous cargo proteins. From these findings, we established a toolkit with improved tunability, enhanced predictability, and surface display capabilities that minimizes the need for iterative screening when developing protein secreting gene circuits for Bt and other Bacteroides species. By enhancing both the flexibility and control of therapeutic protein output, these results expand the potential of engineered living therapeutic applications, particularly those requiring tunable dosing or surface presentation of proteins.

拟杆菌中可编程蛋白质分泌和表面显示的标准化工具包
拟杆菌(Bacteroides thetaiotaomicron, Bt)是人类肠道中的优势菌种,是工程原位治疗递送系统的一个有前途的基础。之前,我们开发了一个由内源性脂蛋白信号肽(SPs)和Bt全长分泌蛋白组成的分泌工具包。然而,由于长度、结构和氨基酸序列的差异,这些SPs在不同的货物蛋白中表现出不一致的分泌效率。由于单个SP-cargo对的活性不容易预测,因此通常需要筛选和优化以达到目标分泌滴度。为了提高我们的工具箱的实用性,我们研究了不同SP序列组分对蛋白质分泌的影响,然后应用这些知识开发了一个标准化的工具包,以实现不同SP货物对的可预测和可调节的蛋白质分泌。为了实现这一目标,我们首先确定了脂蛋白输出序列(LES)是脂蛋白SPs有效分泌外源蛋白的关键决定因素。接下来,我们对具有代表性的脂蛋白SP的LES区域进行诱变,以产生具有标准化SP骨干和多样化LES区域的突变体池。该突变体池的筛选和表征揭示了异源货物蛋白分泌和表面显示的电荷依赖性调节。根据这些发现,我们建立了一个具有改进的可调性,增强的可预测性和表面展示能力的工具包,在开发Bt和其他拟杆菌物种的蛋白质分泌基因回路时,可以最大限度地减少迭代筛选的需要。通过增强治疗蛋白输出的灵活性和控制,这些结果扩大了工程活治疗应用的潜力,特别是那些需要可调剂量或蛋白质表面呈现的应用。
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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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