» Articles » PMID: 37366955

MoBioS: Modular Platform Technology for High-Throughput Construction and Characterization of Tunable Transcriptional Biological Sensors

Overview
Specialty Biotechnology
Date 2023 Jun 27
PMID 37366955
Authors
Affiliations
Soon will be listed here.
Abstract

All living organisms have evolved and fine-tuned specialized mechanisms to precisely monitor a vast array of different types of molecules. These natural mechanisms can be sourced by researchers to build Biological Sensors (BioS) by combining them with an easily measurable output, such as fluorescence. Because they are genetically encoded, BioS are cheap, fast, sustainable, portable, self-generating and highly sensitive and specific. Therefore, BioS hold the potential to become key enabling tools that stimulate innovation and scientific exploration in various disciplines. However, the main bottleneck in unlocking the full potential of BioS is the fact that there is no standardized, efficient and tunable platform available for the high-throughput construction and characterization of biosensors. Therefore, a modular, Golden Gate-based construction platform, called MoBioS, is introduced in this article. It allows for the fast and easy creation of transcription factor-based biosensor plasmids. As a proof of concept, its potential is demonstrated by creating eight different, functional and standardized biosensors that detect eight diverse molecules of industrial interest. In addition, the platform contains novel built-in features to facilitate fast and efficient biosensor engineering and response curve tuning.

Citing Articles

Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors.

De Paepe B, De Mey M ACS Synth Biol. 2024; 14(1):72-86.

PMID: 39709556 PMC: 11745168. DOI: 10.1021/acssynbio.4c00689.


Fundamentals and Exceptions of the LysR-type Transcriptional Regulators.

Demeester W, De Paepe B, De Mey M ACS Synth Biol. 2024; 13(10):3069-3092.

PMID: 39306765 PMC: 11495319. DOI: 10.1021/acssynbio.4c00219.

References
1.
Novichkov P, Kazakov A, Ravcheev D, Leyn S, Kovaleva G, Sutormin R . RegPrecise 3.0--a resource for genome-scale exploration of transcriptional regulation in bacteria. BMC Genomics. 2013; 14:745. PMC: 3840689. DOI: 10.1186/1471-2164-14-745. View

2.
Maddocks S, Oyston P . Structure and function of the LysR-type transcriptional regulator (LTTR) family proteins. Microbiology (Reading). 2008; 154(Pt 12):3609-3623. DOI: 10.1099/mic.0.2008/022772-0. View

3.
Smanski M, Zhou H, Claesen J, Shen B, Fischbach M, Voigt C . Synthetic biology to access and expand nature's chemical diversity. Nat Rev Microbiol. 2016; 14(3):135-49. PMC: 5048682. DOI: 10.1038/nrmicro.2015.24. View

4.
Ding N, Zhou S, Deng Y . Transcription-Factor-based Biosensor Engineering for Applications in Synthetic Biology. ACS Synth Biol. 2021; 10(5):911-922. DOI: 10.1021/acssynbio.0c00252. View

5.
Mahr R, Frunzke J . Transcription factor-based biosensors in biotechnology: current state and future prospects. Appl Microbiol Biotechnol. 2015; 100(1):79-90. PMC: 4700088. DOI: 10.1007/s00253-015-7090-3. View