Literature DB >> 26266730

Nanotube-Enabled Vesicle-Vesicle Communication: A Computational Model.

Liuyang Zhang1, Xianqiao Wang1.   

Abstract

Cell-to-cell communications via the tunneling nanotubes or gap junction channels are vital for the development and maintenance of multicellular organisms. Instead of these intrinsic communication pathways, how to design artificial communication channels between cells remains a challenging but interesting problem. Here, we perform dissipative particle dynamics (DPD) simulations to analyze the interaction between rotational nanotubes (RNTs) and vesicles so as to provide a novel design mechanism for cell-to-cell communication. Simulation results have demonstrated that the RNTs are capable of generating local disturbance and promote vesicle translocation toward the RNTs. Through ligand pattern designing on the RNTs, we can find a suitable nanotube candidate with a specific ligand coating pattern for forming the RNT-vesicle network. The results also show that a RNT can act as a bridged channel between vesicles, which facilitates substance transfer. Our findings provide useful guidelines for the molecular design of patterned RNTs for creating a synthetic channel between cells.

Entities:  

Keywords:  biological cellular network; channel; dissipative particle dynamics; rotational nanotubes

Mesh:

Year:  2015        PMID: 26266730     DOI: 10.1021/acs.jpclett.5b00755

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  3 in total

Review 1.  Man-made rotary nanomotors: a review of recent developments.

Authors:  Kwanoh Kim; Jianhe Guo; Z X Liang; F Q Zhu; D L Fan
Journal:  Nanoscale       Date:  2016-05-19       Impact factor: 7.790

2.  Effects of nanobubble collapse on cell membrane integrity.

Authors:  Matthew Becton; Rodney Averett; Xianqiao Wang
Journal:  J Micromech Mol Phys       Date:  2017-06-30

3.  Energy landscape for the insertion of amphiphilic nanoparticles into lipid membranes: A computational study.

Authors:  Reid C Van Lehn; Alfredo Alexander-Katz
Journal:  PLoS One       Date:  2019-01-09       Impact factor: 3.240

  3 in total

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