Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing

A current bottleneck in the advance of neurophysics is the lack of reliable methods to quantitatively measure the interactions between neural cells and their microenvironment. Here, we present an experimental technique to probe the fundamental characteristics of neuron adhesion through repeated peel...

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Main Authors: Liu, Haipei, Fang, Chao, Gong, Ze, Chang, Raymond Chuen-Chung, Qian, Jin, Gao, Huajian, Lin, Yuan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/152158
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1521582021-09-14T01:25:10Z Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing Liu, Haipei Fang, Chao Gong, Ze Chang, Raymond Chuen-Chung Qian, Jin Gao, Huajian Lin, Yuan School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Cell-adhesion Neurite Outgrowth A current bottleneck in the advance of neurophysics is the lack of reliable methods to quantitatively measure the interactions between neural cells and their microenvironment. Here, we present an experimental technique to probe the fundamental characteristics of neuron adhesion through repeated peeling of well-developed neurite branches on a substrate with an atomic force microscopy cantilever. At the same time, a total internal reflection fluorescence microscope is also used to monitor the activities of neural cell adhesion molecules (NCAMs) during detaching. It was found that NCAMs aggregate into clusters at the neurite-substrate interface, resulting in strong local attachment with an adhesion energy of ∼0.1 mJ/m2 and sudden force jumps in the recorded force-displacement curve. Furthermore, by introducing a healing period between two forced peelings, we showed that stable neurite-substrate attachment can be re-established in 2-5 min. These findings are rationalized by a stochastic model, accounting for the breakage and rebinding of NCAM-based molecular bonds along the interface, and provide new insights into the mechanics of neuron adhesion as well as many related biological processes including axon outgrowth and nerve regeneration. This work was supported by grants from the Research Grants Council (Projects HKU 17211215 , HKU 17257016 , and HKU 17210618 ) of the Hong Kong Special Administration Region and the National Natural Science Foundation of China (Projects 11572273 and 11872325 ). 2021-09-14T01:25:10Z 2021-09-14T01:25:10Z 2020 Journal Article Liu, H., Fang, C., Gong, Z., Chang, R. C., Qian, J., Gao, H. & Lin, Y. (2020). Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing. Biophysical Journal, 118(8), 1811-1819. https://dx.doi.org/10.1016/j.bpj.2020.03.001 0006-3495 https://hdl.handle.net/10356/152158 10.1016/j.bpj.2020.03.001 32197062 2-s2.0-85081976176 8 118 1811 1819 en Biophysical Journal © 2020 Biophysical Society. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Cell-adhesion
Neurite Outgrowth
spellingShingle Engineering::Mechanical engineering
Cell-adhesion
Neurite Outgrowth
Liu, Haipei
Fang, Chao
Gong, Ze
Chang, Raymond Chuen-Chung
Qian, Jin
Gao, Huajian
Lin, Yuan
Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
description A current bottleneck in the advance of neurophysics is the lack of reliable methods to quantitatively measure the interactions between neural cells and their microenvironment. Here, we present an experimental technique to probe the fundamental characteristics of neuron adhesion through repeated peeling of well-developed neurite branches on a substrate with an atomic force microscopy cantilever. At the same time, a total internal reflection fluorescence microscope is also used to monitor the activities of neural cell adhesion molecules (NCAMs) during detaching. It was found that NCAMs aggregate into clusters at the neurite-substrate interface, resulting in strong local attachment with an adhesion energy of ∼0.1 mJ/m2 and sudden force jumps in the recorded force-displacement curve. Furthermore, by introducing a healing period between two forced peelings, we showed that stable neurite-substrate attachment can be re-established in 2-5 min. These findings are rationalized by a stochastic model, accounting for the breakage and rebinding of NCAM-based molecular bonds along the interface, and provide new insights into the mechanics of neuron adhesion as well as many related biological processes including axon outgrowth and nerve regeneration.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Liu, Haipei
Fang, Chao
Gong, Ze
Chang, Raymond Chuen-Chung
Qian, Jin
Gao, Huajian
Lin, Yuan
format Article
author Liu, Haipei
Fang, Chao
Gong, Ze
Chang, Raymond Chuen-Chung
Qian, Jin
Gao, Huajian
Lin, Yuan
author_sort Liu, Haipei
title Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
title_short Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
title_full Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
title_fullStr Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
title_full_unstemmed Fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
title_sort fundamental characteristics of neuron adhesion revealed by forced peeling and time-dependent healing
publishDate 2021
url https://hdl.handle.net/10356/152158
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