Condensed-phase signaling can expand kinase specificity and respond to macromolecular crowding

2022 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Condensed-phase signaling can expand kinase specificity and respond to macromolecular crowding​
Sang, D.; Shu, T.; Pantoja, C. F.; Ibáñez de Opakua, A.; Zweckstetter, M.   & Holt, L. J.​ (2022) 
Molecular Cell,.​ DOI: https://doi.org/10.1016/j.molcel.2022.08.016 

Documents & Media

License

Published Version

Usage license

Details

Authors
Sang, Dajun; Shu, Tong; Pantoja, Christian F.; Ibáñez de Opakua, Alain; Zweckstetter, Markus ; Holt, Liam J.
Abstract
Phase separation can concentrate biomolecules and accelerate reactions. However, the mechanisms and principles connecting this mesoscale organization to signaling dynamics are difficult to dissect because of the pleiotropic effects associated with disrupting endogenous condensates. To address this limitation, we engineered new phosphorylation reactions within synthetic condensates. We generally found increased activity and broadened kinase specificity. Phosphorylation dynamics within condensates were rapid and could drive cell-cycle-dependent localization changes. High client concentration within condensates was important but not the main factor for efficient phosphorylation. Rather, the availability of many excess client-binding sites together with a flexible scaffold was crucial. Phosphorylation within condensates was also modulated by changes in macromolecular crowding. Finally, the phosphorylation of the Alzheimer’s-disease-associated protein Tau by cyclin-dependent kinase 2 was accelerated within condensates. Thus, condensates enable new signaling connections and can create sensors that respond to the biophysical properties of the cytoplasm.
Issue Date
2022
Journal
Molecular Cell 
Organization
Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) ; Max-Planck-Institut für Multidisziplinäre Naturwissenschaften 
ISSN
1097-2765
Language
English

Reference

Citations


Social Media