Literature DB >> 25194659

Computational and mathematical methods for morphogenetic gradient analysis, boundary formation and axonal targeting.

Jürgen Reingruber1, David Holcman2.   

Abstract

Morphogenesis and axonal targeting are key processes during development that depend on complex interactions at molecular, cellular and tissue level. Mathematical modeling is essential to bridge this multi-scale gap in order to understand how the emergence of large structures is controlled at molecular level by interactions between various signaling pathways. We summarize mathematical modeling and computational methods for time evolution and precision of morphogenetic gradient formation. We discuss tissue patterning and the formation of borders between regions labeled by different morphogens. Finally, we review models and algorithms that reveal the interplay between morphogenetic gradients and patterned activity for axonal pathfinding and the generation of the retinotopic map in the visual system.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Axon guidance; Boundary formation; Morphogenetic gradient; Patterning; Reaction–diffusion equations; Retinotopic map

Mesh:

Substances:

Year:  2014        PMID: 25194659     DOI: 10.1016/j.semcdb.2014.08.015

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  4 in total

1.  Reconstructing the gradient source position from steady-state fluxes to small receptors.

Authors:  Ulrich Dobramysl; David Holcman
Journal:  Sci Rep       Date:  2018-01-17       Impact factor: 4.379

2.  Mixed analytical-stochastic simulation method for the recovery of a Brownian gradient source from probability fluxes to small windows.

Authors:  U Dobramysl; D Holcman
Journal:  J Comput Phys       Date:  2018-02-15       Impact factor: 3.553

3.  A cell-based computational model of early embryogenesis coupling mechanical behaviour and gene regulation.

Authors:  Julien Delile; Matthieu Herrmann; Nadine Peyriéras; René Doursat
Journal:  Nat Commun       Date:  2017-01-23       Impact factor: 14.919

4.  Exploring Instructive Physiological Signaling with the Bioelectric Tissue Simulation Engine.

Authors:  Alexis Pietak; Michael Levin
Journal:  Front Bioeng Biotechnol       Date:  2016-07-06
  4 in total

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