Exploring Performance Parameters of Artificial Allosteric Protein Switches

, , , Edwardraja, Selvakumar, Kaczmarski, Joe A., Gagoski, Dejan, , , Jackson, Colin J., Nebl, Tom, & (2022) Exploring Performance Parameters of Artificial Allosteric Protein Switches. Journal of Molecular Biology, 434(17), Article number: 167678.

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Description

Biological information processing networks rely on allosteric protein switches that dynamically interconvert biological signals. Construction of their artificial analogues is a central goal of synthetic biology and bioengineering. Receptor domain insertion is one of the leading methods for constructing chimeric protein switches. Here we present an in vitro expression-based platform for the analysis of chimeric protein libraries for which traditional cell survival or cytometric high throughput assays are not applicable. We utilise this platform to screen a focused library of chimeras between PQQ-glucose dehydrogenase and calmodulin. Using this approach, we identified 50 chimeras (approximately 23% of the library) that were activated by calmodulin-binding peptides. We analysed performance parameters of the active chimeras and demonstrated that their dynamic range and response times are anticorrelated, pointing to the existence of an inherent thermodynamic trade-off. We show that the structure of the ligand peptide affects both the response and activation kinetics of the biosensors suggesting that the structure of a ligand:receptor complex can influence the chimera's activation pathway. In order to understand the extent of structural changes in the reporter protein induced by the receptor domains, we have analysed one of the chimeric molecules by CD spectroscopy and hydrogen–deuterium exchange mass spectrometry. We concluded that subtle ligand-induced changes in the receptor domain propagated into the GDH domain and affected residues important for substrate and cofactor binding. Finally, we used one of the identified chimeras to construct a two-component rapamycin biosensor and demonstrated that core switch optimisation translated into improved biosensor performance.

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1 citations in Web of Science®
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ID Code: 237211
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Guo, Zhongorcid.org/0000-0003-0285-5021
Johnston, Wayne A.orcid.org/0000-0002-7485-8363
Alexandrov, Kirillorcid.org/0000-0002-0957-6511
Additional Information: Funding Information: This work was supported in part by the Australian Research Council Discovery Projects DP160100973, DP150100936 as well as ARC Centre of Excellence in Synthetic Biology CE200100029 to KA. The work was also supported by NHMRC Development grants APP1113262 and APP1179001 to KA. This work was also in part supported by HFSP grant RGP0002/2018 to KA and the US Department of Defence grant W81XWH-20-1-0708 to KA. KA gratefully acknowledges the financial support of the CSIRO-QUT Synthetic Biology Alliance. We would also like to thank Waters Applications Support Specialist Caryn Hepburn and the Melbourne Mass Spectrometry and Proteomics Facility of The Bio21 Molecular Science and Biotechnology Institute at the University of Melbourne for supporting mass spectrometry analysis.
Measurements or Duration: 14 pages
Keywords: allosteric proteins, conformational change, in vitro expression, protein chimeras, synthetic biology
DOI: 10.1016/j.jmb.2022.167678
ISSN: 0022-2836
Pure ID: 122630961
Divisions: Current > Research Centres > Centre for Agriculture and the Bioeconomy
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Biology & Environmental Science
Funding Information: This work was supported in part by the Australian Research Council Discovery Projects DP160100973, DP150100936 as well as ARC Centre of Excellence in Synthetic Biology CE200100029 to KA. The work was also supported by NHMRC Development grants APP1113262 and APP1179001 to KA. This work was also in part supported by HFSP grant RGP0002/2018 to KA and the US Department of Defence grant W81XWH-20-1-0708 to KA. KA gratefully acknowledges the financial support of the CSIRO-QUT Synthetic Biology Alliance. We would also like to thank Waters Applications Support Specialist Caryn Hepburn and the Melbourne Mass Spectrometry and Proteomics Facility of The Bio21 Molecular Science and Biotechnology Institute at the University of Melbourne for supporting mass spectrometry analysis. The authors declare the following competing interests: ZG and KA are named inventors on patents covering electrochemical protein biosensor technology related to this study. KA holds equity in Molecular Warehouse Ltd that owns this patent. The rest of the authors declare no competing interests. This work was supported in part by the Australian Research Council Discovery Projects DP160100973, DP150100936 as well as ARC Centre of Excellence in Synthetic Biology CE200100029 to KA. The work was also supported by NHMRC Development grants APP1113262 and APP1179001 to KA. This work was also in part supported by HFSP grant RGP0002/2018 to KA and the US Department of Defence grant W81XWH-20-1-0708 to KA. KA gratefully acknowledges the financial support of the CSIRO-QUT Synthetic Biology Alliance. We would also like to thank Waters Applications Support Specialist Caryn Hepburn and the Melbourne Mass Spectrometry and Proteomics Facility of The Bio21 Molecular Science and Biotechnology Institute at the University of Melbourne for supporting mass spectrometry analysis.
Funding:
Copyright Owner: 2022 Elsevier Ltd.
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Deposited On: 23 Jan 2023 05:48
Last Modified: 13 Jun 2024 16:56