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Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation
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-r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546876/ https://www.ncbi.nlm.nih.gov/pubmed/36207581 http://dx.doi.org/10.1038/s42003-022-03840-9 |
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author | Jain, Ishita Berg, Ian C. Acharya, Ayusha Blaauw, Maddie Gosstola, Nicholas Perez-Pinera, Pablo Underhill, Gregory H. |
author_facet | Jain, Ishita Berg, Ian C. Acharya, Ayusha Blaauw, Maddie Gosstola, Nicholas Perez-Pinera, Pablo Underhill, Gregory H. |
author_sort | Jain, Ishita |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9546876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95468762022-10-09 Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation Jain, Ishita Berg, Ian C. Acharya, Ayusha Blaauw, Maddie Gosstola, Nicholas Perez-Pinera, Pablo Underhill, Gregory H. Commun Biol Article 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. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546876/ /pubmed/36207581 http://dx.doi.org/10.1038/s42003-022-03840-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jain, Ishita Berg, Ian C. Acharya, Ayusha Blaauw, Maddie Gosstola, Nicholas Perez-Pinera, Pablo Underhill, Gregory H. Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation |
title | Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation |
title_full | Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation |
title_fullStr | Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation |
title_full_unstemmed | Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation |
title_short | Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation |
title_sort | delineating cooperative effects of notch and biomechanical signals on patterned liver differentiation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546876/ https://www.ncbi.nlm.nih.gov/pubmed/36207581 http://dx.doi.org/10.1038/s42003-022-03840-9 |
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