EconPapers    
Economics at your fingertips  
 

Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing

Wade F. Zeno, Upayan Baul, Wilton T. Snead, Andre C. M. DeGroot, Liping Wang, Eileen M. Lafer, D. Thirumalai and Jeanne C. Stachowiak ()
Additional contact information
Wade F. Zeno: The University of Texas at Austin
Upayan Baul: The University of Texas at Austin
Wilton T. Snead: The University of Texas at Austin
Andre C. M. DeGroot: The University of Texas at Austin
Liping Wang: The University of Texas Health Science Center at San Antonio
Eileen M. Lafer: The University of Texas Health Science Center at San Antonio
D. Thirumalai: The University of Texas at Austin
Jeanne C. Stachowiak: The University of Texas at Austin

Nature Communications, 2018, vol. 9, issue 1, 1-14

Abstract: Abstract The ability of proteins to sense membrane curvature is essential to cellular function. All known sensing mechanisms rely on protein domains with specific structural features such as wedge-like amphipathic helices and crescent-shaped BAR domains. Yet many proteins that contain these domains also contain large intrinsically disordered regions. Here we report that disordered domains are themselves potent sensors of membrane curvature. Comparison of Monte Carlo simulations with in vitro and live-cell measurements demonstrates that the polymer-like behavior of disordered domains found in endocytic proteins drives them to partition preferentially to convex membrane surfaces, which place fewer geometric constraints on their conformational entropy. Further, proteins containing both structured curvature sensors and disordered regions are more than twice as curvature sensitive as their respective structured domains alone. These findings demonstrate an entropic mechanism of curvature sensing that is independent of protein structure and illustrate how structured and disordered domains can synergistically enhance curvature sensitivity.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.nature.com/articles/s41467-018-06532-3 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06532-3

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-06532-3

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06532-3