Coupling dynamics of 2D Notch-Delta signalling.


Journal

Mathematical biosciences
ISSN: 1879-3134
Titre abrégé: Math Biosci
Pays: United States
ID NLM: 0103146

Informations de publication

Date de publication:
06 2023
Historique:
received: 12 01 2023
revised: 21 04 2023
accepted: 22 04 2023
medline: 2 6 2023
pubmed: 5 5 2023
entrez: 4 5 2023
Statut: ppublish

Résumé

Understanding pattern formation driven by cell-cell interactions has been a significant theme in cellular biology for many years. In particular, due to their implications within many biological contexts, lateral-inhibition mechanisms present in the Notch-Delta signalling pathway led to an extensive discussion between biologists and mathematicians. Deterministic and stochastic models have been developed as a consequence of this discussion, some of which address long-range signalling by considering cell protrusions reaching non-neighbouring cells. The dynamics of such signalling systems reveal intricate properties of the coupling terms involved in these models. In this work, we investigate the advantages and drawbacks of a single-parameter long-range signalling model across diverse scenarios. By employing linear and multi-scale analyses, we discover that pattern selection is not only partially explained but also depends on nonlinear effects that extend beyond the scope of these analytical techniques.

Identifiants

pubmed: 37142213
pii: S0025-5564(23)00053-6
doi: 10.1016/j.mbs.2023.109012
pii:
doi:

Substances chimiques

Receptors, Notch 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109012

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Francisco Berkemeier (F)

Department of Pathology, University of Cambridge, UK. Electronic address: fp409@cam.ac.uk.

Karen M Page (KM)

Department of Mathematics and IPLS, University College London, UK.

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Classifications MeSH