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Article: Distinct Relaxation Timescales of Neurites Revealed by Rate-dependent Indentation, Relaxation and Micro-rheology Tests

TitleDistinct Relaxation Timescales of Neurites Revealed by Rate-dependent Indentation, Relaxation and Micro-rheology Tests
Authors
KeywordsAtomic force microscopy
Dynamics
Elasticity
Indentation
Loads (forces)
Relaxation time
Viscoelasticity
Issue Date2019
PublisherRoyal Society of Chemistry. The Journal's web site is located at http://www.softmatter.org
Citation
Soft Matter, 2019, v. 15 n. 2, p. 166-174 How to Cite?
AbstractAlthough the dynamic response of neurites is believed to play crucial roles in processes like axon outgrowth and formation of the neural network, the dynamic mechanical properties of such protrusions remain poorly understood. In this study, by using AFM (atomic force microscopy) indentation, we systematically examined the dynamic behavior of well-developed neurites on primary neurons under different loading modes (step loading, oscillating loading and ramp loading). Interestingly, the response was found to be strongly rate-dependent, with an apparent initial and long-term elastic modulus around 800 and 80 Pa, respectively. To better analyze the measurement data and extract information of key interest, the finite element simulation method (FEM) was also conducted where the neurite was treated as a viscoelastic solid consisting of multiple characteristic relaxation times. It was found that a minimum of three relaxation timescales, i.e. ∼0.01, 0.1 and 1 seconds, are needed to explain the observed relaxation curve as well as fit simulation results to the indentation and rheology data under different loading rates and driving frequencies. We further demonstrated that these three characteristic relaxation times likely originate from the thermal fluctuations of the microtubule, membrane relaxation and cytosol viscosity, respectively. By identifying key parameters describing the time-dependent behavior of neurites, as well as revealing possible physical mechanisms behind, this study could greatly help us understand how neural cells perform their biological duties over a wide spectrum of timescales.
Persistent Identifierhttp://hdl.handle.net/10722/275684
ISSN
2019 Impact Factor: 3.14
2015 SCImago Journal Rankings: 1.728
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGong, Z-
dc.contributor.authorFang, C-
dc.contributor.authorYou, R-
dc.contributor.authorShao, X-
dc.contributor.authorWei, X-
dc.contributor.authorChang, RC-C-
dc.contributor.authorLin, Y-
dc.date.accessioned2019-09-10T02:47:33Z-
dc.date.available2019-09-10T02:47:33Z-
dc.date.issued2019-
dc.identifier.citationSoft Matter, 2019, v. 15 n. 2, p. 166-174-
dc.identifier.issn1744-683X-
dc.identifier.urihttp://hdl.handle.net/10722/275684-
dc.description.abstractAlthough the dynamic response of neurites is believed to play crucial roles in processes like axon outgrowth and formation of the neural network, the dynamic mechanical properties of such protrusions remain poorly understood. In this study, by using AFM (atomic force microscopy) indentation, we systematically examined the dynamic behavior of well-developed neurites on primary neurons under different loading modes (step loading, oscillating loading and ramp loading). Interestingly, the response was found to be strongly rate-dependent, with an apparent initial and long-term elastic modulus around 800 and 80 Pa, respectively. To better analyze the measurement data and extract information of key interest, the finite element simulation method (FEM) was also conducted where the neurite was treated as a viscoelastic solid consisting of multiple characteristic relaxation times. It was found that a minimum of three relaxation timescales, i.e. ∼0.01, 0.1 and 1 seconds, are needed to explain the observed relaxation curve as well as fit simulation results to the indentation and rheology data under different loading rates and driving frequencies. We further demonstrated that these three characteristic relaxation times likely originate from the thermal fluctuations of the microtubule, membrane relaxation and cytosol viscosity, respectively. By identifying key parameters describing the time-dependent behavior of neurites, as well as revealing possible physical mechanisms behind, this study could greatly help us understand how neural cells perform their biological duties over a wide spectrum of timescales.-
dc.languageeng-
dc.publisherRoyal Society of Chemistry. The Journal's web site is located at http://www.softmatter.org-
dc.relation.ispartofSoft Matter-
dc.subjectAtomic force microscopy-
dc.subjectDynamics-
dc.subjectElasticity-
dc.subjectIndentation-
dc.subjectLoads (forces)-
dc.subjectRelaxation time-
dc.subjectViscoelasticity-
dc.titleDistinct Relaxation Timescales of Neurites Revealed by Rate-dependent Indentation, Relaxation and Micro-rheology Tests-
dc.typeArticle-
dc.identifier.emailChang, RCC: rccchang@hku.hk-
dc.identifier.emailLin, Y: ylin@hkucc.hku.hk-
dc.identifier.authorityChang, RCC=rp00470-
dc.identifier.authorityLin, Y=rp00080-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1039/c8sm01747f-
dc.identifier.scopuseid_2-s2.0-85059360190-
dc.identifier.hkuros304185-
dc.identifier.volume15-
dc.identifier.issue2-
dc.identifier.spage166-
dc.identifier.epage174-
dc.identifier.isiWOS:000454947400013-
dc.publisher.placeUnited Kingdom-

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