4.7 Article

Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation

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COMMUNICATIONS BIOLOGY
卷 5, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s42003-022-03840-9

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  1. National Institutes of Health [R01DK125471]

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This study assesses the interplay between Notch signaling and cellular mechanics by integrating cellular microarrays, experimental and computational data for liver progenitor cell differentiation patterning. The role of Notch signaling in the spatiotemporal regulation of stem and progenitor cell differentiation has been elucidated using controlled in vitro multicellular culture systems. Computational models incorporating Notch ligand-receptor interactions have provided important insights into Notch pathway signaling dynamics. However, the mechanistic relationship between Notch-mediated intercellular signaling and cooperative microenvironmental cues is less clear. This study systematically evaluates the complex interplay of cellular mechanics and Notch signaling in liver progenitor cell differentiation, and suggests a possible role of E-Cadherin in translating intercellular mechanical gradients to downstream Notch signaling.
Integrating cellular microarrays, experimental and computational data for liver progenitor cell differentiation patterning, the interplay between Notch signaling and cellular mechanics is assessed. Controlled in vitro multicellular culture systems with defined biophysical microenvironment have been used to elucidate the role of Notch signaling in the spatiotemporal regulation of stem and progenitor cell differentiation. In addition, computational models incorporating features of Notch ligand-receptor interactions have provided important insights into Notch pathway signaling dynamics. However, the mechanistic relationship between Notch-mediated intercellular signaling and cooperative microenvironmental cues is less clear. Here, liver progenitor cell differentiation patterning was used as a model to systematically evaluate the complex interplay of cellular mechanics and Notch signaling along with identifying combinatorial mechanisms guiding progenitor fate. We present an integrated approach that pairs a computational intercellular signaling model with defined microscale culture configurations provided within a cell microarray platform. Specifically, the cell microarray-based experiments were used to validate and optimize parameters of the intercellular Notch signaling model. This model incorporated the experimentally established multicellular dimensions of the cellular microarray domains, mechanical stress-related activation parameters, and distinct Notch receptor-ligand interactions based on the roles of the Notch ligands Jagged-1 and Delta-like-1. Overall, these studies demonstrate the spatial control of mechanotransduction-associated components, key growth factor and Notch signaling interactions, and point towards a possible role of E-Cadherin in translating intercellular mechanical gradients to downstream Notch signaling.

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