应用于肠道炎症的诊断和治疗微生物回路。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Liana N Merk, Andrey S Shur, Smrutiti Jena, Javier Munoz, Douglas K Brubaker, Richard M Murray, Leopold N Green
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引用次数: 0

摘要

经过基因工程改造的细菌可在生理环境中执行确定的治疗和诊断功能,并可用于人类微生物组的定植,提供原位监测和有条件的疾病调节。然而,许多工程微生物只能对单一输入环境因素做出反应,从而限制了它们作为活体诊断和治疗系统的可调性、精确性和有效性。要通过工程微生物改善炎症性肠病等复杂的慢性疾病,细菌必须在适当的环境和时间内对各种刺激做出反应。这项研究在益生菌大肠埃希氏菌株 Nissle 1917(EcN)中实现了先前表征的分裂激活剂 AND 逻辑门。我们的系统可以对两种输入信号做出反应:炎症生物标志物四硫酸盐和第二种输入信号--用于手动控制的氢四环素(aTc)。我们的报告显示,当两种化学信号同时存在时,诱导效果为 4-6 倍,且泄漏极少。我们利用化学反应网络对 AND 栅极动力学进行建模,并在硅学中调整参数,以确定影响电路选择性的关键扰动。最后,我们利用益生大肠杆菌菌株的溶血素分泌途径,设计出优化的 AND 门,以分泌治疗性抗炎细胞因子 IL-22。我们使用无菌透孔人体肠道上皮细胞模型表明,与重组细胞因子相比,我们的工程菌能产生类似的宿主细胞因子反应。我们的研究提出了一种可扩展的工作流程,通过逻辑信号处理驱动细胞因子分泌微生物的工程化。它证明了从益生菌 EcN 中提取 IL-22 的可行性,并将肠道上皮细胞的脱靶效应降至最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic and Therapeutic Microbial Circuit with Application to Intestinal Inflammation.

Bacteria genetically engineered to execute defined therapeutic and diagnostic functions in physiological settings can be applied to colonize the human microbiome, providing in situ surveillance and conditional disease modulation. However, many engineered microbes can only respond to single-input environmental factors, limiting their tunability, precision, and effectiveness as living diagnostic and therapeutic systems. For engineering microbes to improve complex chronic disorders such as inflammatory bowel disease, the bacteria must respond to combinations of stimuli in the proper context and time. This work implements a previously characterized split activator AND logic gate in the probiotic Escherichia coli strain Nissle 1917 (EcN). Our system can respond to two input signals: the inflammatory biomarker tetrathionate and a second input signal, anhydrotetracycline (aTc), for manual control. We report 4-6 fold induction with a minimal leak when the two chemical signals are present. We model the AND gate dynamics using chemical reaction networks and tune parameters in silico to identify critical perturbations that affect our circuit's selectivity. Finally, we engineer the optimized AND gate to secrete a therapeutic anti-inflammatory cytokine IL-22 using the hemolysin secretion pathway in the probiotic E. coli strain. We used a germ-free transwell model of the human gut epithelium to show that our engineering bacteria produce similar host cytokine responses compared to recombinant cytokine. Our study presents a scalable workflow to engineer cytokine-secreting microbes driven by logical signal processing. It demonstrates the feasibility of IL-22 derived from probiotic EcN with minimal off-target effects in a gut epithelial context.

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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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