Literature DB >> 19765713

Comparison of analytical and inverse finite element approaches to estimate cell viscoelastic properties by micropipette aspiration.

Ruogang Zhao1, Kristine Wyss, Craig A Simmons.   

Abstract

The viscoelastic properties of cells are important in predicting cell deformation under mechanical loading and may reflect cell phenotype or pathological transition. Previous studies have demonstrated that viscoelastic parameters estimated by finite element (FE) analyses of micropipette aspiration (MA) data differ from those estimated by the analytical half-space model. However, it is unclear whether these differences are statistically significant, as previous studies have been based on average cell properties or parametric analyses that do not reflect the inherent experimental and biological variability of real experimental data. To determine whether cell material parameters estimated by the half-space model are significantly different from those predicted by the FE method, we implemented an inverse FE method to estimate the viscoelastic parameters of a population of primary porcine aortic valve interstitial cells tested by MA. We found that inherent differences between the analytical and inverse FE estimation methods resulted in statistically significant differences in individual cell properties. However, in cases with small pipette to cell radius ratios and short loading periods, model-dependent differences were masked by experimental and cell-to-cell variability. Analytical models that account for finite cell-size and loading rate further relaxed the experimental conditions for which accurate cell material parameter estimates could be obtained. These data provide practical guidelines for analysis of MA data that account for the wide range of conditions encountered in typical experiments.

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Year:  2009        PMID: 19765713     DOI: 10.1016/j.jbiomech.2009.07.035

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  15 in total

1.  Quantification of embryonic atrioventricular valve biomechanics during morphogenesis.

Authors:  Philip R Buskohl; Russell A Gould; Jonathan T Butcher
Journal:  J Biomech       Date:  2011-12-12       Impact factor: 2.712

2.  Characterization of cellular elastic modulus using structure based double layer model.

Authors:  Yeongjin Kim; Mina Kim; Jennifer H Shin; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2011-01-08       Impact factor: 2.602

Review 3.  Advances in Micropipette Aspiration: Applications in Cell Biomechanics, Models, and Extended Studies.

Authors:  Blanca González-Bermúdez; Gustavo V Guinea; Gustavo R Plaza
Journal:  Biophys J       Date:  2019-01-07       Impact factor: 4.033

4.  Cell mechanics, structure, and function are regulated by the stiffness of the three-dimensional microenvironment.

Authors:  J Chen; J Irianto; S Inamdar; P Pravincumar; D A Lee; D L Bader; M M Knight
Journal:  Biophys J       Date:  2012-09-19       Impact factor: 4.033

5.  Micropipette aspiration of substrate-attached cells to estimate cell stiffness.

Authors:  Myung-Jin Oh; Frank Kuhr; Fitzroy Byfield; Irena Levitan
Journal:  J Vis Exp       Date:  2012-09-27       Impact factor: 1.355

6.  Prediction of matrix-to-cell stress transfer in heart valve tissues.

Authors:  Siyao Huang; Hsiao-Ying Shadow Huang
Journal:  J Biol Phys       Date:  2014-10-09       Impact factor: 1.365

7.  Local property characterization of prostate glands using inhomogeneous modeling based on tumor volume and location analysis.

Authors:  Yeongjin Kim; Bummo Ahn; Jae Won Lee; Koon Ho Rha; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2012-11-11       Impact factor: 2.602

8.  Pipette aspiration applied to the characterization of nonhomogeneous, transversely isotropic materials used for vocal fold modeling.

Authors:  S Weiß; S L Thomson; R Lerch; M Döllinger; A Sutor
Journal:  J Mech Behav Biomed Mater       Date:  2012-08-30

9.  Regional structure-function relationships in mouse aortic valve tissue.

Authors:  Varun K Krishnamurthy; Farshid Guilak; Daria A Narmoneva; Robert B Hinton
Journal:  J Biomech       Date:  2010-09-21       Impact factor: 2.712

10.  Image-derived modeling of nucleus strain amplification associated with chromatin heterogeneity.

Authors:  Noel Reynolds; Eoin McEvoy; Soham Ghosh; Juan Alberto Panadero Pérez; Corey P Neu; Patrick McGarry
Journal:  Biophys J       Date:  2021-03-04       Impact factor: 4.033

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