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How Membrane Geometry Regulates Protein Sorting Independently of Mean Curvature
- Source :
- ACS Central Science, ACS Central Science, Vol 6, Iss 7, Pp 1159-1168 (2020)
- Publication Year :
- 2020
- Publisher :
- American Chemical Society (ACS), 2020.
-
Abstract
- Biological membranes have distinct geometries that confer specific functions. However, the molecular mechanisms underlying the phenomenological geometry/function correlations remain elusive. We studied the effect of membrane geometry on the localization of membrane-bound proteins. Quantitative comparative experiments between the two most abundant cellular membrane geometries, spherical and cylindrical, revealed that geometry regulates the spatial segregation of proteins. The measured geometry-driven segregation reached 50-fold for membranes of the same mean curvature, demonstrating a crucial and hitherto unaccounted contribution by Gaussian curvature. Molecular-field theory calculations elucidated the underlying physical and molecular mechanisms. Our results reveal that distinct membrane geometries have specific physicochemical properties and thus establish a ubiquitous mechanistic foundation for unravelling the conserved correlations between biological function and membrane polymorphism.<br />Cellular organelles display highly conserved morphologies, e.g., cylindrical (tubes) or spherical (vesicles), and here we show that their Gaussian curvature differences can regulate protein recruitment.
- Subjects :
- Cellular membrane
Mean curvature
Spatial segregation
Chemistry
General Chemical Engineering
Geometry
Biological membrane
General Chemistry
medicine.disease_cause
Quantitative Biology::Subcellular Processes
symbols.namesake
Membrane
Protein targeting
medicine
Gaussian curvature
symbols
QD1-999
Function (biology)
Research Article
Subjects
Details
- ISSN :
- 23747951 and 23747943
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- ACS Central Science
- Accession number :
- edsair.doi.dedup.....69e79f8faaba030493600beffef8a01a
- Full Text :
- https://doi.org/10.1021/acscentsci.0c00419