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Modeling of Wnt-mediated tissue patterning in vertebrate embryogenesis

Rosenbauer, Jakob; Zhang, Chengting; Mattes, Benjamin; Reinartz, Ines 1; Wedgwood, Kyle; Schindler, Simone; Sinner, Claude 1; Scholpp, Steffen; Schug, Alexander; Asthagiri, Anand R. [Hrsg.]
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

During embryogenesis, morphogens form a concentration gradient in responsive tissue, which is then translated into a spatial cellular pattern. The mechanisms by which morphogens spread through a tissue to establish such a morphogenetic field remain elusive. Here, we investigate by mutually complementary simulations and in vivo experiments how Wnt morphogen transport by cytonemes differs from typically assumed diffusion-based transport for patterning of highly dynamic tissue such as the neural plate in zebrafish. Stochasticity strongly influences fate acquisition at the single cell level and results in fluctuating boundaries between pattern regions. Stable patterning can be achieved by sorting through concentration dependent cell migration and apoptosis, independent of the morphogen transport mechanism. We show that Wnt transport by cytonemes achieves distinct Wnt thresholds for the brain primordia earlier compared with diffusion-based transport. We conclude that a cytoneme-mediated morphogen transport together with directed cell sorting is a potentially favored mechanism to establish morphogen gradients in rapidly expanding developmental systems.


Verlagsausgabe §
DOI: 10.5445/IR/1000124403
Originalveröffentlichung
DOI: 10.1371/journal.pcbi.1007417
Scopus
Zitationen: 17
Web of Science
Zitationen: 14
Dimensions
Zitationen: 23
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1553-7358
KITopen-ID: 1000124403
HGF-Programm 46.11.01 (POF III, LK 01) Computational Science and Mathematical Methods
Erschienen in PLoS Computational Biology
Verlag Public Library of Science (PLoS)
Band 16
Heft 6
Seiten e1007417
Vorab online veröffentlicht am 24.06.2020
Nachgewiesen in Scopus
Dimensions
Web of Science
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