Literature DB >> 18352056

Computational analysis of adhesion force in the indentation of cells using atomic force microscopy.

C Y Zhang1, Y W Zhang.   

Abstract

A mechanical model was developed to study the indentation of an atomic force microscopic (AFM) tip on a cell with adhesion mediated by receptor-ligand binding. The effects of indentation rate, indentation depth, indenter size, and the mechanical properties of cells on the adhesion force were investigated. It was found that the presence of adhesion between the cell and AFM tip may affect both the loading curve and unloading curve, which may in turn change the extracted elastic modulus values using the conventional indentation models. It was found that an increase in the receptor-ligand reaction rate may lead to a transition from a decrease of the maximum adhesion force with the indentation rate to an increase of the maximum adhesion force with the indentation rate. It was also found that factors such as indenter size, indentation depth, and cell mechanical properties influence the maximum adhesion force, and their corresponding underlying mechanisms were discussed.

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Year:  2008        PMID: 18352056     DOI: 10.1103/PhysRevE.77.021912

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  3 in total

1.  Controlling Cellular Volume via Mechanical and Physical Properties of Substrate.

Authors:  Kenan Xie; Yuehua Yang; Hongyuan Jiang
Journal:  Biophys J       Date:  2018-02-06       Impact factor: 4.033

2.  Continuum modeling of a neuronal cell under blast loading.

Authors:  Antoine Jérusalem; Ming Dao
Journal:  Acta Biomater       Date:  2012-05-02       Impact factor: 8.947

3.  Role of Ligand Distribution in the Cytoskeleton-Associated Endocytosis of Ellipsoidal Nanoparticles.

Authors:  Yudie Zhang; Long Li; Jizeng Wang
Journal:  Membranes (Basel)       Date:  2021-12-19
  3 in total

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