Size-dependent formation of membrane nanotubes: continuum modeling and molecular dynamics simulations

Literature Information

Publication Date 2018-01-02
DOI 10.1039/C7CP06212E
Impact Factor 3.676
Authors

Tongtao Yue, Wei Dong, Xianren Zhang


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Abstract

Membrane nanotubes play important functional roles in numerous cell activities such as cellular transport and communication. By exerting an external pulling force over a finite region in a membrane patch, here we investigate the size dependence of the membrane nanotube formation under the continuum and atomistic modeling frameworks. It is shown that the membrane undergoes a discontinuous shape transition as the size of the pulling region and the membrane tension increase. A formula characterizing the nonlinear relationship between the maximum static pulling force and pulling size is identified. During the membrane extraction, lipids in the upper and lower leaflets exhibit different behaviors of structural rearrangements. Moreover, our computational simulations indicate that the steady state pulling force increases linearly with the pulling velocity as well as the size of the pulling region.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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