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A numerical method to predict the membrane tension distribution of spreading cells based on the reconstruction of focal adhesions

A numerical method to predict the membrane tension distribution of spreading cells based on the reconstruction of focal adhesions

作     者:XinYue Liu Keni-chi Tsubota Yi Yu Wang Xi XiaoBo Gong XinYue Liu;Keni-chi Tsubota;Yi Yu;Wang Xi;XiaoBo Gong

作者机构:Shanghai Institute of Applied Mathematics and MechanicsSchool of Mechanics and Engineering ScienceShanghai Key Laboratory of Mechanics in Energy EngineeringShanghai UniversityShanghai 200072China Key Laboratory of Hydrodynamics(Ministry of Education)Department of Engineering MechanicsSchool of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical EngineeringChiba UniversityChiba 263-8522Japan Department of Aeronautics and AstronauticsFudan UniversityShanghai 200433China Mechanobiology InstituteNational University of SingaporeSingapore 117411Singapore Institut Jacques MonodUniversitéParis CitéCentre National de la Recherche ScientifiqueParis F-75013France Institute of Mechanobiology and Biomedical EngineeringSchool of Life Science and TechnologyShanghai Jiao Tong UniversityShanghai 200240China 

出 版 物:《Science China(Physics,Mechanics & Astronomy)》 (中国科学:物理学、力学、天文学(英文版))

年 卷 期:2022年第65卷第6期

页      面:88-100页

核心收录:

学科分类:0710[理学-生物学] 07[理学] 071009[理学-细胞生物学] 09[农学] 0901[农学-作物学] 090102[农学-作物遗传育种] 

基  金:supported by the National Key Research and Development Program of China (Grant No. 2017YFE0117100) the National Natural Science Foundation of China (Grant Nos. 11872040, and 12072198) the China Scholarship Council for Joint Ph.D. Program (Grant No.201206230004) funding from the Mechanobiology Institute Seed Grant and the Ministry of Education’s Academic Research Fund Tier 1 (Grant No. R-397-000-247-112) 

主  题:cell spread membrane tension distribution particle-based method optimization method 3D reconstructions 

摘      要:Changes in membrane tension significantly affect the physiological functions of cells in various ***,directly measuring the spatial distribution of membrane tension remains an ongoing *** this study,an algorithm is proposed to determine the membrane tension inversely by executing a particle-based method and searching for the minimum deformation energy based on the cell images and focal adhesions.A standard spreading cell model is established using 3D reconstructions with images from structured illumination microscopy as the reference cell *** membrane tension distribution,forces across focal adhesions,and profile of the spread cell are obtained using this method,until the cell deformation energy function optimization *** and quantitative comparisons with previous experimental results validated the reliability of this *** results show that in the standard spreading cell model,the membrane tension decreases from the bottom to the top of the *** method can be applied to predict the membrane tension distribution of cells freely spreading into different shapes,which could improve the quantitative analysis of cellular membrane tension in various studies for cell mechanics.

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