Abstract

Natural proteins exhibit rich structural diversity based on the folds of an invariably linear chain. Macromolecular catenanes that cooperatively fold into a single domain do not belong to the current protein universe, and their design and synthesis open new territories in chemistry. Here, we report the design, synthesis, and properties of a single-domain green fluorescent protein catenane via rewiring the connectivity of GFP’s secondary motifs. The synthesis could be achieved in two steps via a pseudorotaxane intermediate or directly via expression in cellulo. Various proteins-of-interest may be inserted at the loop regions to give fusion protein catenanes where the two subunits exhibit enhanced thermal resilience, thermal stability, and mechanical stability due to strong conformational coupling. The strategy can be applied to other proteins with similar fold, giving rise to a family of single-domain fluorescent proteins. The results imply that there may be multiple protein topological variants with desirable functional traits beyond their corresponding linear protein counterparts, which are now made accessible and fully open for exploration.

Natural proteins exhibit rich structural diversity based on the folds of an invariably linear chain. Here the authors design a single-domain GFP catenane as the counterpart of conventional linear GFP with enhanced thermal resilience and to provide a robust scaffold for making fusion protein catenanes.

Details

Title
A single-domain green fluorescent protein catenane
Author
Qu, Zhiyu 1 ; Fang, Jing 1 ; Wang, Yu-Xiang 1 ; Sun, Yibin 1 ; Liu, Yajie 1 ; Wu, Wen-Hao 1 ; Zhang, Wen-Bin 2   VIAFID ORCID Logo 

 Beijing National Laboratory for Molecular Sciences, Beijing, P. R. China (GRID:grid.454727.7); Peking University, Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Peking University, Center for Soft Matter Science and Engineering, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Peking University, College of Chemistry and Molecular Engineering, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
 Beijing National Laboratory for Molecular Sciences, Beijing, P. R. China (GRID:grid.454727.7); Peking University, Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Peking University, Center for Soft Matter Science and Engineering, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Peking University, College of Chemistry and Molecular Engineering, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Beijing Academy of Artificial Intelligence, Beijing, P. R. China (GRID:grid.511045.4) 
Pages
3480
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2825595812
Copyright
© The Author(s) 2023. 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.