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为环境、健康和生物制造编程活体传感器。

Programming living sensors for environment, health and biomanufacturing.

机构信息

Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3FF, UK.

Hangzhou Innovation Center, Zhejiang University, Hangzhou, 311200, China.

出版信息

Microb Biotechnol. 2021 Nov;14(6):2334-2342. doi: 10.1111/1751-7915.13820. Epub 2021 May 7.

DOI:10.1111/1751-7915.13820
PMID:33960658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8601174/
Abstract

Synthetic biology offers new tools and capabilities of engineering cells with desired functions for example as new biosensing platforms leveraging engineered microbes. In the last two decades, bacterial cells have been programmed to sense and respond to various input cues for versatile purposes including environmental monitoring, disease diagnosis and adaptive biomanufacturing. Despite demonstrated proof-of-concept success in the laboratory, the real-world applications of microbial sensors have been restricted due to certain technical and societal limitations. Yet, most limitations can be addressed by new technological developments in synthetic biology such as circuit design, biocontainment and machine learning. Here, we summarize the latest advances in synthetic biology and discuss how they could accelerate the development, enhance the performance and address the present limitations of microbial sensors to facilitate their use in the field. We view that programmable living sensors are promising sensing platforms to achieve sustainable, affordable and easy-to-use on-site detection in diverse settings.

摘要

合成生物学提供了新的工具和能力,可以设计具有期望功能的细胞,例如利用工程微生物作为新的生物传感平台。在过去的二十年中,细菌细胞已经被编程为感知和响应各种输入提示,用于各种用途,包括环境监测、疾病诊断和自适应生物制造。尽管在实验室中已经证明了概念验证的成功,但由于某些技术和社会限制,微生物传感器的实际应用受到了限制。然而,通过合成生物学中的新技术发展,如电路设计、生物控制和机器学习,可以解决大多数限制。在这里,我们总结了合成生物学的最新进展,并讨论了它们如何加速微生物传感器的发展、提高性能和解决当前的限制,以促进它们在该领域的应用。我们认为可编程活体传感器是很有前途的传感平台,可以在各种环境中实现可持续、经济实惠且易于使用的现场检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/836b/8601174/96ec2b03ddfa/MBT2-14-2334-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/836b/8601174/96ec2b03ddfa/MBT2-14-2334-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/836b/8601174/96ec2b03ddfa/MBT2-14-2334-g002.jpg

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Nat Rev Chem. 2020 Dec;4(12):638-656. doi: 10.1038/s41570-020-00221-w. Epub 2020 Oct 5.
2
Translating New Synthetic Biology Advances for Biosensing Into the Earth and Environmental Sciences.将生物传感领域新的合成生物学进展转化应用于地球与环境科学
Front Microbiol. 2021 Feb 4;11:618373. doi: 10.3389/fmicb.2020.618373. eCollection 2020.
3
Genetic circuits combined with machine learning provides fast responding living sensors.
一种多功能微生物平台,可用作可调谐的全细胞化学传感器。
Nat Commun. 2024 Sep 27;15(1):8316. doi: 10.1038/s41467-024-52755-y.
4
Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology.利用合成生物学加速基因传感器的开发、扩大生产及部署
Biodes Res. 2024 Jun 25;6:0037. doi: 10.34133/bdr.0037. eCollection 2024.
5
Advances in ligand-specific biosensing for structurally similar molecules.配体特异性生物传感技术在结构相似分子分析中的进展。
Cell Syst. 2023 Dec 20;14(12):1024-1043. doi: 10.1016/j.cels.2023.10.009.
6
Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics.从转录组动力学的可观察性分析中学习可干扰的细胞状态。
Nat Commun. 2023 May 31;14(1):3148. doi: 10.1038/s41467-023-37897-9.
7
Living electronics: A catalogue of engineered living electronic components.活体电子学:工程化活体电子元件目录。
Microb Biotechnol. 2023 Mar;16(3):507-533. doi: 10.1111/1751-7915.14171. Epub 2022 Dec 14.
8
Strategies for Improving Small-Molecule Biosensors in Bacteria.提高细菌中小分子生物传感器的策略。
Biosensors (Basel). 2022 Jan 25;12(2):64. doi: 10.3390/bios12020064.
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Biosens Bioelectron. 2021 Apr 15;178:113028. doi: 10.1016/j.bios.2021.113028. Epub 2021 Jan 23.
4
DeepTFactor: A deep learning-based tool for the prediction of transcription factors.DeepTFactor:一种基于深度学习的转录因子预测工具。
Proc Natl Acad Sci U S A. 2021 Jan 12;118(2). doi: 10.1073/pnas.2021171118.
5
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Nat Commun. 2020 Nov 24;11(1):5961. doi: 10.1038/s41467-020-19552-9.
6
Predictive design of sigma factor-specific promoters.σ 因子特异性启动子的预测设计。
Nat Commun. 2020 Nov 16;11(1):5822. doi: 10.1038/s41467-020-19446-w.
7
Machine learning linked evolutionary biosensor array for highly sensitive and specific molecular identification.机器学习关联进化生物传感器阵列,用于高灵敏度和特异性分子识别。
Biosens Bioelectron. 2020 Dec 15;170:112670. doi: 10.1016/j.bios.2020.112670. Epub 2020 Oct 1.
8
Sequence-to-function deep learning frameworks for engineered riboregulators.序列到功能的工程核糖调控因子深度学习框架。
Nat Commun. 2020 Oct 7;11(1):5058. doi: 10.1038/s41467-020-18676-2.
9
A deep learning approach to programmable RNA switches.深度学习方法用于可编程 RNA 开关。
Nat Commun. 2020 Oct 7;11(1):5057. doi: 10.1038/s41467-020-18677-1.
10
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Biosens Bioelectron. 2020 Dec 1;169:112651. doi: 10.1016/j.bios.2020.112651. Epub 2020 Sep 24.