120904 20240319080951.0 doi 10.1007/s00366-022-01654-1 sideral 128835 ART-2022-128835 eng Camacho-Gómez, Daniel Universidad de Zaragoza A 3D multi-agent-based model for lumen morphogenesis: the role of the biophysical properties of the extracellular matrix 2022 Access copy available to the general public Unrestricted The correct function of many organs depends on proper lumen morphogenesis, which requires the orchestration of both biological and mechanical aspects. However, how these factors coordinate is not yet fully understood. Here, we focus on the development of a mechanistic model for computationally simulating lumen morphogenesis. In particular, we consider the hydrostatic pressure generated by the cells'' fluid secretion as the driving force and the density of the extracellular matrix as regulators of the process. For this purpose, we develop a 3D agent-based-model for lumen morphogenesis that includes cells'' fluid secretion and the density of the extracellular matrix. Moreover, this computer-based model considers the variation in the biological behavior of cells in response to the mechanical forces that they sense. Then, we study the formation of the lumen under different-mechanical scenarios and conclude that an increase in the matrix density reduces the lumen volume and hinders lumen morphogenesis. Finally, we show that the model successfully predicts normal lumen morphogenesis when the matrix density is physiological and aberrant multilumen formation when the matrix density is excessive. info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 8.7 2022 ENGINEERING, MECHANICAL 4 / 136 = 0.029 2022 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 12 / 110 = 0.109 2022 Q1 T1 1.096 2022 Computer Science Applications 2022 Q1 Software 2022 Q1 Modeling and Simulation 2022 Q1 Engineering (miscellaneous) 2022 Q1 13.4 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion García-Aznar, José Manuel Universidad de Zaragoza (orcid)0000-0002-9864-7683 Gómez-Benito, María José Universidad de Zaragoza (orcid)0000-0002-1878-8997 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 34 (2022), 4135–4149 Eng. comput. ENGINEERING WITH COMPUTERS 0177-0667 2378195 http://zaguan.unizar.es/record/120904/files/texto_completo.pdf Versión publicada 2565116 http://zaguan.unizar.es/record/120904/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:120904 articulos driver 2024-03-18-13:03:45 ARTICLE