Literature DB >> 27705773

A Computational Model for Kinetic Studies of Cadherin Binding and Clustering.

Jiawen Chen1, Jillian Newhall2, Zhong-Ru Xie1, Deborah Leckband2, Yinghao Wu3.   

Abstract

Cadherin is a cell-surface transmembrane receptor that mediates calcium-dependent cell-cell adhesion and is a major component of adhesive junctions. The formation of intercellular adhesive junctions is initiated by trans binding between cadherins on adjacent cells, which is followed by the clustering of cadherins via the formation of cis interactions between cadherins on the same cell membranes. Moreover, classical cadherins have multiple glycosylation sites along their extracellular regions. It was found that aberrant glycosylation affects the adhesive function of cadherins and correlates with metastatic phenotypes of several cancers. However, a mechanistic understanding of cadherin clustering during cell adhesion and the role of glycosylation in this process is still lacking. Here, we designed a kinetic model that includes multistep reaction pathways for cadherin clustering. We further applied a diffusion-reaction algorithm to numerically simulate the clustering process using a recently developed coarse-grained model. Using experimentally measured rates of trans binding between soluble E-cadherin extracellular domains, we conducted simulations of cadherin-mediated cell-cell binding kinetics, and the results are quantitatively comparable to experimental data from micropipette experiments. In addition, we show that incorporating cadherin clustering via cis interactions further increases intercellular binding. Interestingly, a two-phase kinetic profile was derived under the assumption that glycosylation regulates the kinetic rates of cis interactions. This two-phase profile is qualitatively consistent with experimental results from micropipette measurements. Therefore, our computational studies provide new, to our knowledge, insights into the molecular mechanism of cadherin-based cell adhesion.
Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27705773      PMCID: PMC5052510          DOI: 10.1016/j.bpj.2016.08.038

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  76 in total

1.  N-glycosylation alters cadherin-mediated intercellular binding kinetics.

Authors:  Matthew D Langer; Huabei Guo; Nitesh Shashikanth; J Michael Pierce; Deborah E Leckband
Journal:  J Cell Sci       Date:  2012-02-17       Impact factor: 5.285

2.  Prediction of protein-protein association rates from a transition-state theory.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Structure       Date:  2007-02       Impact factor: 5.006

3.  Immediate-early signaling induced by E-cadherin engagement and adhesion.

Authors:  Tomas D Perez; Masako Tamada; Michael P Sheetz; W James Nelson
Journal:  J Biol Chem       Date:  2007-12-17       Impact factor: 5.157

4.  Sequence and structural determinants of strand swapping in cadherin domains: do all cadherins bind through the same adhesive interface?

Authors:  Shoshana Posy; Lawrence Shapiro; Barry Honig
Journal:  J Mol Biol       Date:  2008-03-04       Impact factor: 5.469

5.  Study of protein structural deformations under external mechanical perturbations by a coarse-grained simulation method.

Authors:  Jiawen Chen; Zhong-Ru Xie; Yinghao Wu
Journal:  Biomech Model Mechanobiol       Date:  2015-06-07

6.  Theory and simulations of adhesion receptor dimerization on membrane surfaces.

Authors:  Yinghao Wu; Barry Honig; Avinoam Ben-Shaul
Journal:  Biophys J       Date:  2013-03-19       Impact factor: 4.033

7.  Single molecule imaging of green fluorescent proteins in living cells: E-cadherin forms oligomers on the free cell surface.

Authors:  R Iino; I Koyama; A Kusumi
Journal:  Biophys J       Date:  2001-06       Impact factor: 4.033

Review 8.  Modulation of E-cadherin function and dysfunction by N-glycosylation.

Authors:  Salomé S Pinho; Raquel Seruca; Fátima Gärtner; Yoshiki Yamaguchi; Jianguo Gu; Naoyuki Taniguchi; Celso A Reis
Journal:  Cell Mol Life Sci       Date:  2010-11-23       Impact factor: 9.261

9.  Role of E-cadherin N-glycosylation profile in a mammary tumor model.

Authors:  Salomé S Pinho; Hugo Osório; Mihai Nita-Lazar; Joana Gomes; Célia Lopes; Fátima Gärtner; Celso A Reis
Journal:  Biochem Biophys Res Commun       Date:  2009-01-19       Impact factor: 3.575

10.  Mutations affecting transmembrane segment interactions impair adhesiveness of E-cadherin.

Authors:  O Huber; R Kemler; D Langosch
Journal:  J Cell Sci       Date:  1999-12       Impact factor: 5.285

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  7 in total

1.  Intracellular Domain Contacts Contribute to Ecadherin Constitutive Dimerization in the Plasma Membrane.

Authors:  Deo R Singh; Fozia Ahmed; Sarvenaz Sarabipour; Kalina Hristova
Journal:  J Mol Biol       Date:  2017-05-23       Impact factor: 5.469

2.  Cortical tension initiates the positive feedback loop between cadherin and F-actin.

Authors:  Qilin Yu; William R Holmes; Jean P Thiery; Rodney B Luwor; Vijay Rajagopal
Journal:  Biophys J       Date:  2022-01-11       Impact factor: 4.033

3.  Collective mechanical responses of cadherin-based adhesive junctions as predicted by simulations.

Authors:  Brandon L Neel; Collin R Nisler; Sanket Walujkar; Raul Araya-Secchi; Marcos Sotomayor
Journal:  Biophys J       Date:  2022-02-10       Impact factor: 4.033

4.  Computational model of E-cadherin clustering under force.

Authors:  Yang Chen; Julia Brasch; Oliver J Harrison; Tamara C Bidone
Journal:  Biophys J       Date:  2021-10-21       Impact factor: 4.033

5.  Role of actin filaments and cis binding in cadherin clustering and patterning.

Authors:  Qilin Yu; Taeyoon Kim; Vijay Rajagopal
Journal:  PLoS Comput Biol       Date:  2022-07-08       Impact factor: 4.779

6.  Balance of mechanical forces drives endothelial gap formation and may facilitate cancer and immune-cell extravasation.

Authors:  Jorge Escribano; Michelle B Chen; Emad Moeendarbary; Xuan Cao; Vivek Shenoy; Jose Manuel Garcia-Aznar; Roger D Kamm; Fabian Spill
Journal:  PLoS Comput Biol       Date:  2019-05-02       Impact factor: 4.475

7.  Desmosome architecture derived from molecular dynamics simulations and cryo-electron tomography.

Authors:  Mateusz Sikora; Utz H Ermel; Anna Seybold; Michael Kunz; Giulia Calloni; Julian Reitz; R Martin Vabulas; Gerhard Hummer; Achilleas S Frangakis
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-16       Impact factor: 11.205

  7 in total

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