Paper
8 January 2024 Synthetic cell-based biosensors and methods for discovering novel sensing elements
Yichen Zhan
Author Affiliations +
Proceedings Volume 12924, Third International Conference on Biological Engineering and Medical Science (ICBioMed2023); 1292409 (2024) https://doi.org/10.1117/12.3012864
Event: 3rd International Conference on Biological Engineering and Medical Science (ICBioMed2023), 2023, ONLINE, United Kingdom
Abstract
With the advancement of synthetic biology, cells can be modified and engineered through gene recombination, gene editing and protein engineering. Given that many elements in gene expression are environmental-sensitive, synthetic biosensor based on cells has been proposed and many studies have validated this concept. Synthetic biosensors can facilitate research on the revelation of biomolecular activity in living systems. And it has the advantages of easy operation, energy economy, and adaptability. This review introduces three types of synthetic biosensors including transcriptional biosensors, translational biosensors, and post-translational biosensors. Then the topic will focus on approaches that help discovery of biosensing elements in cells, which is vital but still challenging for the development of synthetic biosensors. Cell-free assays, directed revolution, high through-put screening and computational methods are discussed in this review. Subsequently, the application of synthetic biosensors is summarized, presenting utility and advantages of them. At last, the future direction is discussed, hoping to provide prospects or advice for research in this field.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yichen Zhan "Synthetic cell-based biosensors and methods for discovering novel sensing elements", Proc. SPIE 12924, Third International Conference on Biological Engineering and Medical Science (ICBioMed2023), 1292409 (8 January 2024); https://doi.org/10.1117/12.3012864
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KEYWORDS
Biosensors

Biosensing

Biology

Biological research

Design and modelling

Biomedical applications

Genetic engineering

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