Literature DB >> 22108739

Spatial analysis of multi-species exclusion processes: application to neural crest cell migration in the embryonic gut.

Benjamin J Binder1, Kerry A Landman, Donald F Newgreen, Johanna E Simkin, Yoshiko Takahashi, Dongcheng Zhang.   

Abstract

Hindbrain (vagal) neural crest cells become relatively uniformly distributed along the embryonic intestine during the rostral to caudal colonization wave which forms the enteric nervous system (ENS). When vagal neural crest cells are labeled before migration in avian embryos by in ovo electroporation, the distribution of labeled neural crest cells in the ENS varies vastly. In some cases, the labeled neural crest cells appear evenly distributed and interspersed with unlabeled neural crest cells along the entire intestine. However, in most specimens, labeled cells occur in relatively discrete patches of varying position, area, and cell number. To determine reasons for these differences, we use a discrete cellular automata (CA) model incorporating the underlying cellular processes of neural crest cell movement and proliferation on a growing domain, representing the elongation of the intestine during development. We use multi-species CA agents corresponding to labeled and unlabeled neural crest cells. The spatial distributions of the CA agents are quantified in terms of an index. This investigation suggests that (i) the percentage of the initial neural crest cell population that is labeled and (ii) the ratio of cell proliferation to motility are the two key parameters producing the extreme differences in spatial distributions observed in avian embryos.

Mesh:

Year:  2011        PMID: 22108739     DOI: 10.1007/s11538-011-9703-z

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  9 in total

Review 1.  Simple rules for a "simple" nervous system? Molecular and biomathematical approaches to enteric nervous system formation and malformation.

Authors:  Donald F Newgreen; Sylvie Dufour; Marthe J Howard; Kerry A Landman
Journal:  Dev Biol       Date:  2013-07-06       Impact factor: 3.582

2.  Extracting cellular automaton rules from physical Langevin equation models for single and collective cell migration.

Authors:  J M Nava-Sedeño; H Hatzikirou; F Peruani; A Deutsch
Journal:  J Math Biol       Date:  2017-02-27       Impact factor: 2.259

3.  The importance of volume exclusion in modelling cellular migration.

Authors:  Louise Dyson; Ruth E Baker
Journal:  J Math Biol       Date:  2014-09-28       Impact factor: 2.259

4.  Neural crest requires Impdh2 for development of the enteric nervous system, great vessels, and craniofacial skeleton.

Authors:  Jonathan I Lake; Marina Avetisyan; Albert G Zimmermann; Robert O Heuckeroth
Journal:  Dev Biol       Date:  2015-11-10       Impact factor: 3.582

Review 5.  Cell lineage tracing in the developing enteric nervous system: superstars revealed by experiment and simulation.

Authors:  Bevan L Cheeseman; Dongcheng Zhang; Benjamin J Binder; Donald F Newgreen; Kerry A Landman
Journal:  J R Soc Interface       Date:  2014-02-05       Impact factor: 4.118

6.  An in silico agent-based model demonstrates Reelin function in directing lamination of neurons during cortical development.

Authors:  James R Caffrey; Barry D Hughes; Joanne M Britto; Kerry A Landman
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

7.  Using approximate Bayesian computation to quantify cell-cell adhesion parameters in a cell migratory process.

Authors:  Robert J H Ross; R E Baker; Andrew Parker; M J Ford; R L Mort; C A Yates
Journal:  NPJ Syst Biol Appl       Date:  2017-03-10

8.  BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.

Authors:  Andreas Deutsch; Josué Manik Nava-Sedeño; Simon Syga; Haralampos Hatzikirou
Journal:  PLoS Comput Biol       Date:  2021-06-15       Impact factor: 4.475

9.  Modelling collective cell migration: neural crest as a model paradigm.

Authors:  Rasa Giniūnaitė; Ruth E Baker; Paul M Kulesa; Philip K Maini
Journal:  J Math Biol       Date:  2019-10-05       Impact factor: 2.259

  9 in total

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