Multiscale modeling in tissue growth and morphogenesis to understand biological data

Monday, June 14 at 11:30am (PDT)
Monday, June 14 at 07:30pm (BST)
Tuesday, June 15 03:30am (KST)

SMB2021 SMB2021 Follow Monday (Tuesday) during the "MS02" time block.
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Weitao Chen (University of California, Riverside, United States), Qixuan Wang (University of California, Riverside, United States)


Morphogenesis and growth control are fundamental questions to study in developmental biology. Since the past few decades, mathematical modeling has been introduced into this area to understand the mechanisms and principles underlying the tissue growth and morphogenesis. Due to the fast development on both theoretical and computational sides, nowadays a variety of multiscale modeling frameworks have been developed and widely used to understand a variety of biological systems. They offer remarkable benefits to the research community, and lead to some major trends in modern multiscale modeling research, which include but are not limited to: 1) development of computational models for complex biological systems using high performance computing, and 2) novel methods of integrating theories with different kinds of large biological data sets. This minisymposium tries to bring researchers in this field together to exchange ideas about recently developed state-of-the-art models, methods and theories in this area emphasizing multiscale modeling and data-driven approaches and explore collaborations.

Dagmar Iber

(ETH Zurich, Switzerland)
"From Networks to Function – Computational Models of Morphogenesis"
One of the major challenges in biology concerns the integration of data across length and time scales into a consistent framework: how do macroscopic properties and functionalities arise from the molecular regulatory networks and how do they evolve? Morphogenesis provides an excellent model system to study how simple molecular networks robustly control complex pattern forming processes and how mechanical constraints shape organs. In my talk, I will focus on self-organizing principles in organogenesis, with a particular focus on lung and kidney development, as well as on epithelial organisation.

Zhan Chen

(Georgia Southern University, United States)
"Anterior-Posterior patterning and scaling of Drosophila wing disc: Mathematical modeling"
Wing imaginal disc of Drosophila is one of the commonly used model systems for the studies of patterning, growth, and scaling. The development of the wing disc involves many interacting components as well as a variety of compound processes whose underlying mechanisms are still under investigation. For instance, it remains unclear about how to form compound experimentally-measured patterns of Decapentaplegic (Dpp) type-I receptor Thickveins (Tkv), as well as phosphorylated Mothers Against Dpp (pMad) which is the indicator of Dpp signaling activities. In this work, we proposed mathematical models that integrate established experimental data to investigate the formation of pMad and Tkv gradients. Our model is validated by the accurate reproduction of complex asymmetric profiles of Tkv and pMad in both anterior and posterior compartments of the wing disc. Moreover, it provides a comprehensive view of the formation of Tkv gradients in wing discs. We found that engrailed (En), Hedgehog (Hh) signaling and Dpp signaling cooperate to establish the asymmetric gradients of Tkv and pMad in the wing disc. Finally, our model suggests a Brinker-mediated mechanism of Dpp-dependent repression of Tkv.

John Dallon

(Brigham Young University, United States)
"Modeling collagen tissue: How structure affects mechanical properties"
The fibrous protein collagen is the main protein in mammalian connective tissue. Although the properties of a collagen filament are well understood, how they come together to form tissues with vastly different properties is not. In this talk, with the aid of a mathematical model, we will explore properties of a fibrous tissue and determine their impact on the elasticity of the tissue.

Hosted by SMB2021 Follow
Virtual conference of the Society for Mathematical Biology, 2021.