Multiscale models for developmental biology focusing on biochemical signals and mechanical cues
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Organizer(s): |
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Weitao Chen
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University of California, Riverside
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USA
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Huijing Du
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University of Nebraska-Lincoln
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USA
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Abstract:
| | Many problems in developmental biology involve spatiotemporal coordination of biochemical and mechanical signals across multiple spatial and temporal scales. Mathematical modeling offers remarkable benefits for understanding mechanisms underlying morphogenesis and growth control, which are two fundamental questions in developmental biology, especially for systems with complex morphological change directed by both biochemical and mechanical signals. Examples of such systems include 1) navigation in response to chemical and mechanical cues in shaping cell shapes and tissues, 2) morphogenetic movement in response to forces and biochemical cascades, and 3) interactions between chemical and mechanical signals to achieve the overall pattern with robustness. Mathematical models that connect small scale dynamics, including molecular interactions and cellular activity, to the larger-scale dynamics of tissues, organs, and organism and their interactions with the mechanical environment can provide an effective tool to identify the individual role of each component in a complex network and reveal the fundamental mechanism. In this special session, we bring researchers in computational biology with a diverse background to address recent advances in multiscale modeling technologies for complex systems in developmental biology on spatiotemporal coordination of biochemical and mechanical signals including new numerical methods developed to make the simulation of such challenging problems feasible. |
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