Abstract

Allostery enables proteins to interconvert different biochemical signals and form complex metabolic and signaling networks. We hypothesize that circular permutation of proteins increases the probability of functional coupling of new N- and C- termini with the protein’s active center through increased local structural disorder. To test this we construct a synthetically allosteric version of circular permutated NanoLuc luciferase that can be activated through ligand-induced intramolecular non-covalent cyclisation. This switch module is tolerant of the structure of binding domains and their ligands, and can be used to create biosensors of proteins and small molecules. The developed biosensors covers a range of emission wavelengths and displays sensitivity as low as 50pM and dynamic range as high as 16-fold and could quantify their cognate ligand in human fluids. We apply hydrogen exchange kinetic mass spectroscopy to analyze time resolved structural changes in the developed biosensors and observe ligand-mediated folding of newly created termini.

Allosteric regulation of proteins allows transduction and interconversion of biochemical signals. Here the authors construct an allosteric version of circular permutated NanoLuc that can be activated by a ligand; they use this to create biosensors to quantify their cognate ligand in human fluids.

Details

Title
Engineering and exploiting synthetic allostery of NanoLuc luciferase
Author
Guo, Zhong 1 ; Parakra, Rinky D 2 ; Xiong, Ying 3 ; Johnston, Wayne A 1 ; Walden, Patricia 1 ; Selvakumar, Edwardraja 4   VIAFID ORCID Logo  ; Moradi Shayli Varasteh 1 ; Ungerer Jacobus P J 5 ; Hui-wang, Ai 3   VIAFID ORCID Logo  ; Phillips, Jonathan J 6 ; Alexandrov Kirill 7   VIAFID ORCID Logo 

 ARC Centre of Excellence in Synthetic Biology, Sydney, Australia (GRID:grid.511666.3); Queensland University of Technology, Centre for Agriculture and the Bioeconomy, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953); Queensland University of Technology, School of Biology and Environmental Science, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953) 
 University of Exeter, Living Systems Institute, Department of Biosciences, Exeter, UK (GRID:grid.8391.3) (ISNI:0000 0004 1936 8024) 
 University of Virginia, Center for Membrane and Cell Physiology, Department of Molecular Physiology and Biological Physics, Department of Chemistry, Charlottesville, USA (GRID:grid.27755.32) (ISNI:0000 0000 9136 933X) 
 The University of Queensland, Australian Institute for Bioengineering and Nanotechnology, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537) 
 Pathology Queensland, Department of Chemical Pathology, Brisbane, Australia (GRID:grid.415606.0) (ISNI:0000 0004 0380 0804); University of Queensland, Faculty of Health and Behavioural Sciences, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537) 
 University of Exeter, Living Systems Institute, Department of Biosciences, Exeter, UK (GRID:grid.8391.3) (ISNI:0000 0004 1936 8024); Alan Turing Institute, London, UK (GRID:grid.499548.d) (ISNI:0000 0004 5903 3632) 
 ARC Centre of Excellence in Synthetic Biology, Sydney, Australia (GRID:grid.511666.3); Queensland University of Technology, Centre for Agriculture and the Bioeconomy, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953); Queensland University of Technology, School of Biology and Environmental Science, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953); Queensland University of Technology, Centre for Genomics and Personalised Health, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2627131152
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.