期刊
BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES
卷 1859, 期 9, 页码 1465-1482出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.bbamem.2017.05.005
关键词
Supported lipid bilayer; Mechanotransduction; Receptor clustering; Molecular tension probe; Adhesion
资金
- NIH [R01-GM097399]
- NSF CAREER Award [1350829]
- National Science Foundation Graduate Research Fellowship Program [DGE-444932]
- Div Of Molecular and Cellular Bioscience
- Direct For Biological Sciences [1350829] Funding Source: National Science Foundation
Mammalian and bacterial cells sense and exert mechanical forces through the process of mechanotransduction, which interconverts biochemical and physical signals. This is especially important in contact-dependent signaling, where ligand-receptor binding occurs at cell-cell or cell-ECM junctions. By virtue of occurring within these specialized junctions, receptors engaged in contact-dependent signaling undergo oligomerization and coupling with the cytoskeleton as part of their signaling mechanisms. While our ability to measure and map biochemical signaling within cell junctions has advanced over the past decades, physical cues remain difficult to map in space and time. Recently, supported lipid bilayer (SLB) technologies have emerged as a flexible platform to mimic and perturb cell-cell and cell-ECM junctions, allowing one to study membrane receptor mechanotransduction. Changing the lipid composition and underlying substrate tunes bilayer fluidity, and lipid and ligand micro- and nano-patterning spatially control positioning and clustering of receptors. Patterning metal gridlines within SLBs confines lipid mobility and introduces mechanical resistance. Here we review fundamental SLB mechanics and how SLBs can be engineered as tunable cell substrates for mechanotransduction studies. Finally, we highlight the impact of this work in understanding the biophysical mechanisms of cell adhesion. This article is part of a Special Issue entitled: Interactions between membrane receptors in cellular membranes edited by Kalina Hristova. (C) 2017 Elsevier B.V. All rights reserved.
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