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Abstract

Phase separation of intrinsically disordered proteins (IDPs) is a remarkable feature of living cells to dynamically control intracellular partitioning. Despite the numerous new IDPs that have been identified, progress towards rational engineering in cells has been limited. To address this limitation, we systematically scanned the sequence space of native IDPs and designed artificial IDPs (A-IDPs) with different molecular weights and aromatic content, which exhibit variable condensate saturation concentrations and temperature cloud points in vitro and in cells. We created A-IDP puncta using these simple principles, which are capable of sequestering an enzyme and whose catalytic efficiency can be manipulated by the molecular weight of the A-IDP. These results provide a robust engineered platform for creating puncta with new, phase-separation-mediated control of biological function in living cells.

Artificial intrinsically disordered proteins (A-IDPs) have now been shown to form exclusionary, intracellular droplets that can be designed using simple principles that are based on the aromatic/aliphatic ratio and molecular weight. Droplets that sequester an enzyme and modulate enzyme efficiency on the basis of the molecular weight of the A-IDPs were also engineered using A-IDPs as a minimal condensate scaffold.

Details

Title
De novo engineering of intracellular condensates using artificial disordered proteins
Author
Dzuricky, Michael 1   VIAFID ORCID Logo  ; Rogers, Bradley A 2 ; Abdulla, Shahid 3 ; Cremer, Paul S 2 ; Chilkoti Ashutosh 1 

 Duke University, Department of Biomedical Engineering, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
 Pennsylvania State University, Department of Biochemistry and Molecular Biology, University Park, USA (GRID:grid.29857.31) (ISNI:0000 0001 2097 4281) 
 Duke University, Department of Computer Science, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke University, Department of Biology, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
Pages
814-825
Publication year
2020
Publication date
Sep 2020
Publisher
Nature Publishing Group
ISSN
17554330
e-ISSN
17554349
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2436973699
Copyright
© The Author(s), under exclusive licence to Springer Nature Limited 2020.