A multiscale chemical-mechanical model predicts impact of morphogen spreading on tissue growth.


Journal

NPJ systems biology and applications
ISSN: 2056-7189
Titre abrégé: NPJ Syst Biol Appl
Pays: England
ID NLM: 101677786

Informations de publication

Date de publication:
20 05 2023
Historique:
received: 05 10 2022
accepted: 03 05 2023
medline: 22 5 2023
pubmed: 21 5 2023
entrez: 20 5 2023
Statut: epublish

Résumé

The exact mechanism controlling cell growth remains a grand challenge in developmental biology and regenerative medicine. The Drosophila wing disc tissue serves as an ideal biological model to study mechanisms involved in growth regulation. Most existing computational models for studying tissue growth focus specifically on either chemical signals or mechanical forces. Here we developed a multiscale chemical-mechanical model to investigate the growth regulation mechanism based on the dynamics of a morphogen gradient. By comparing the spatial distribution of dividing cells and the overall tissue shape obtained in model simulations with experimental data of the wing disc, it is shown that the size of the domain of the Dpp morphogen is critical in determining tissue size and shape. A larger tissue size with a faster growth rate and more symmetric shape can be achieved if the Dpp gradient spreads in a larger domain. Together with Dpp absorbance at the peripheral zone, the feedback regulation that downregulates Dpp receptors on the cell membrane allows for further spreading of the morphogen away from its source region, resulting in prolonged tissue growth at a more spatially homogeneous growth rate.

Identifiants

pubmed: 37210381
doi: 10.1038/s41540-023-00278-5
pii: 10.1038/s41540-023-00278-5
pmc: PMC10199952
doi:

Substances chimiques

Drosophila Proteins 0
dpp protein, Drosophila 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

16

Informations de copyright

© 2023. The Author(s).

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Auteurs

Alireza Ramezani (A)

Department of Physics and Astronomy, University of California, Riverside, CA, 92521, USA.
Interdisciplinary Center for Quantitative Modeling in Biology, University of California, Riverside, CA, 92521, USA.

Samuel Britton (S)

Department of Mathematics, University of California, Riverside, CA, 92521, USA.

Roya Zandi (R)

Department of Physics and Astronomy, University of California, Riverside, CA, 92521, USA.
Interdisciplinary Center for Quantitative Modeling in Biology, University of California, Riverside, CA, 92521, USA.

Mark Alber (M)

Interdisciplinary Center for Quantitative Modeling in Biology, University of California, Riverside, CA, 92521, USA.
Department of Mathematics, University of California, Riverside, CA, 92521, USA.

Ali Nematbakhsh (A)

Department of Mathematics, University of California, Riverside, CA, 92521, USA. nematba@ucr.edu.

Weitao Chen (W)

Interdisciplinary Center for Quantitative Modeling in Biology, University of California, Riverside, CA, 92521, USA. weitaoc@ucr.edu.
Department of Mathematics, University of California, Riverside, CA, 92521, USA. weitaoc@ucr.edu.

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Classifications MeSH