Dynamic cluster field modeling of collective chemotaxis.
Chemotaxis
Clustering
Collective cell migration
Phase field modeling
Reallocation
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
24 Oct 2024
24 Oct 2024
Historique:
received:
22
04
2024
accepted:
07
10
2024
medline:
25
10
2024
pubmed:
25
10
2024
entrez:
25
10
2024
Statut:
epublish
Résumé
Collective migration of eukaryotic cells is often guided by chemotaxis, and is critical in several biological processes, such as cancer metastasis, wound healing, and embryogenesis. Understanding collective chemotaxis has challenged experimental, theoretical and computational scientists because cells can sense very small chemoattractant gradients that are tightly controlled by cell-cell interactions and the regulation of the chemoattractant distribution by the cells. Computational models of collective cell migration that offer a high-fidelity resolution of the cell motion and chemoattractant dynamics in the extracellular space have been limited to a small number of cells. Here, we present Dynamic cluster field modeling (DCF), a novel computational method that enables simulations of collective chemotaxis of cellular systems with
Identifiants
pubmed: 39448677
doi: 10.1038/s41598-024-75653-1
pii: 10.1038/s41598-024-75653-1
doi:
Substances chimiques
Chemotactic Factors
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
25162Subventions
Organisme : National Science Foundation
ID : 1952912
Organisme : National Science Foundation
ID : 1952912
Informations de copyright
© 2024. The Author(s).
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