Engineered Feedback Employing Natural Hypoxia-Responsive Factors Enhances Synthetic Hypoxia Biosensors.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-05-16 Epub Date: 2025-05-02 DOI:10.1021/acssynbio.4c00714
Kathleen S Dreyer, Patrick S Donahue, Jonathan D Boucher, Katherine M Chambers, Marya Y Ornelas, Hailey I Edelstein, Benjamin D Leibowitz, Katherine J Zhu, Kate E Dray, Joseph J Muldoon, Joshua N Leonard
{"title":"Engineered Feedback Employing Natural Hypoxia-Responsive Factors Enhances Synthetic Hypoxia Biosensors.","authors":"Kathleen S Dreyer, Patrick S Donahue, Jonathan D Boucher, Katherine M Chambers, Marya Y Ornelas, Hailey I Edelstein, Benjamin D Leibowitz, Katherine J Zhu, Kate E Dray, Joseph J Muldoon, Joshua N Leonard","doi":"10.1021/acssynbio.4c00714","DOIUrl":null,"url":null,"abstract":"<p><p>Inadequate oxygen supply is a feature of multiple acute and chronic diseases, and hypoxia biosensors can be deployed in engineered cells to study or treat disease. Although mediators of hypoxia-responsiveness have been characterized, dynamics of this response are less understood, and there is no general approach for tuning biosensor performance to meet application-specific needs. To address these gaps, we investigated the use of genetic circuits to enhance biosensor performance through feedback, ultimately achieving both low background and amplified hypoxia-induced gene expression. To build insight into the mechanisms by which our circuits modulate performance, we developed an explanatory mathematical model. Our analysis suggests a previously unreported dual regulatory mechanism in the natural hypoxia response, providing new insights into regulatory dynamics in chronic hypoxia. This study exemplifies the potential of using synthetic gene circuits to perturb natural systems in a manner that uniquely enables the elucidation of novel facets of natural regulation.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":"1464-1481"},"PeriodicalIF":3.7000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.4c00714","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/2 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Inadequate oxygen supply is a feature of multiple acute and chronic diseases, and hypoxia biosensors can be deployed in engineered cells to study or treat disease. Although mediators of hypoxia-responsiveness have been characterized, dynamics of this response are less understood, and there is no general approach for tuning biosensor performance to meet application-specific needs. To address these gaps, we investigated the use of genetic circuits to enhance biosensor performance through feedback, ultimately achieving both low background and amplified hypoxia-induced gene expression. To build insight into the mechanisms by which our circuits modulate performance, we developed an explanatory mathematical model. Our analysis suggests a previously unreported dual regulatory mechanism in the natural hypoxia response, providing new insights into regulatory dynamics in chronic hypoxia. This study exemplifies the potential of using synthetic gene circuits to perturb natural systems in a manner that uniquely enables the elucidation of novel facets of natural regulation.

利用自然缺氧反应因子的工程反馈增强合成缺氧生物传感器。
氧气供应不足是多种急慢性疾病的一个特征,缺氧生物传感器可以部署在工程细胞中来研究或治疗疾病。虽然低氧反应的介质已经被表征,但这种反应的动力学尚不清楚,并且没有通用的方法来调整生物传感器的性能以满足特定的应用需求。为了解决这些空白,我们研究了利用遗传电路通过反馈来提高生物传感器的性能,最终实现低背景和放大缺氧诱导的基因表达。为了深入了解电路调制性能的机制,我们开发了一个解释性数学模型。我们的分析表明,在自然缺氧反应中存在一种以前未报道的双重调节机制,为慢性缺氧的调节动力学提供了新的见解。这项研究举例说明了利用合成基因回路以一种独特的方式干扰自然系统的潜力,这种方式能够阐明自然调节的新方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信