4.4 Article

Programming living sensors for environment, health and biomanufacturing

期刊

MICROBIAL BIOTECHNOLOGY
卷 14, 期 6, 页码 2334-2342

出版社

WILEY
DOI: 10.1111/1751-7915.13820

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资金

  1. UK Research and Innovation Future Leaders Fellowship [MR/S018875/1]
  2. Leverhulme Trust [RPG-2020-241]
  3. US Office of Naval Research Global grant [N62909-20-1-2036]
  4. Wellcome Trust Seed Awards in Science [202078/Z/16/Z]
  5. Zhejiang University-University of Edinburgh Joint Research Centre for Engineering Biology
  6. Wellcome Trust [202078/Z/16/Z] Funding Source: Wellcome Trust

向作者/读者索取更多资源

Synthetic biology has provided new tools and capabilities for engineering cells, especially in the field of microbial sensors. Despite successful proof-of-concept demonstrations in the laboratory, real-world applications are limited by technical and societal constraints, which can be addressed through new technological developments in synthetic biology.
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.

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