Literature DB >> 9825636

Mathematical modelling of juxtacrine cell signalling.

M R Owen1, J A Sherratt.   

Abstract

Juxtacrine signalling is emerging as an important means of cellular communication, in which signalling molecules anchored in the cell membrane bind to and activate receptors on the surface of immediately neighbouring cells. We develop a mathematical model to describe this process, consisting of a coupled system of ordinary differential equations, with one identical set of equations for each cell. We use a generic representation of ligand-receptor binding, and assume that binding exerts a positive feedback on the secretion of new receptors and ligand. By linearising the model equations about a homogeneous equilibrium, we categorize the range and extent of signal patterns as a function of parameters. We show in particular that the signal decay rate depends crucially on the form of the feedback functions, and can be made arbitrarily small by appropriate choice of feedback, for any set of kinetic parameters. As a specific example, we consider the application of our model to juxtacrine signalling by TGF alpha in response to epidermal wounding. We demonstrate that all the predictions of our linear analysis are confirmed in numerical simulations of the non-linear system, and discuss the implications for the healing response.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9825636     DOI: 10.1016/s0025-5564(98)10034-2

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  12 in total

1.  How far can a juxtacrine signal travel?

Authors:  M R Owen; J A Sherratt; S R Myers
Journal:  Proc Biol Sci       Date:  1999-03-22       Impact factor: 5.349

2.  Oscillations and patterns in spatially discrete models for developmental intercellular signalling.

Authors:  Steven D Webb; Markus R Owen
Journal:  J Math Biol       Date:  2003-10-27       Impact factor: 2.259

3.  Synchronized oscillation of the segmentation clock gene in vertebrate development.

Authors:  Koichiro Uriu; Yoshihiro Morishita; Yoh Iwasa
Journal:  J Math Biol       Date:  2009-09-16       Impact factor: 2.259

4.  A dynamical model of ommatidial crystal formation.

Authors:  David K Lubensky; Matthew W Pennington; Boris I Shraiman; Nicholas E Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

5.  Continuum limits of pattern formation in hexagonal-cell monolayers.

Authors:  R D O'Dea; J R King
Journal:  J Math Biol       Date:  2011-05-20       Impact factor: 2.259

6.  Defect patterns on the curved surface of fish retinae suggest a mechanism of cone mosaic formation.

Authors:  Hayden Nunley; Mikiko Nagashima; Kamirah Martin; Alcides Lorenzo Gonzalez; Sachihiro C Suzuki; Declan A Norton; Rachel O L Wong; Pamela A Raymond; David K Lubensky
Journal:  PLoS Comput Biol       Date:  2020-12-15       Impact factor: 4.475

7.  Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms.

Authors:  Scott Christley; Briana Lee; Xing Dai; Qing Nie
Journal:  BMC Syst Biol       Date:  2010-08-09

8.  Techniques for analysing pattern formation in populations of stem cells and their progeny.

Authors:  John A Fozard; Glen R Kirkham; Lee Dk Buttery; John R King; Oliver E Jensen; Helen M Byrne
Journal:  BMC Bioinformatics       Date:  2011-10-12       Impact factor: 3.169

9.  Agent based modelling helps in understanding the rules by which fibroblasts support keratinocyte colony formation.

Authors:  Tao Sun; Phil McMinn; Mike Holcombe; Rod Smallwood; Sheila MacNeil
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

10.  An expanded Notch-Delta model exhibiting long-range patterning and incorporating MicroRNA regulation.

Authors:  Jerry S Chen; Abygail M Gumbayan; Robert W Zeller; Joseph M Mahaffy
Journal:  PLoS Comput Biol       Date:  2014-06-19       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.