000120904 001__ 120904
000120904 005__ 20240319080951.0
000120904 0247_ $$2doi$$a10.1007/s00366-022-01654-1
000120904 0248_ $$2sideral$$a128835
000120904 037__ $$aART-2022-128835
000120904 041__ $$aeng
000120904 100__ $$aCamacho-Gómez, Daniel$$uUniversidad de Zaragoza
000120904 245__ $$aA 3D multi-agent-based model for lumen morphogenesis: the role of the biophysical properties of the extracellular matrix
000120904 260__ $$c2022
000120904 5060_ $$aAccess copy available to the general public$$fUnrestricted
000120904 5203_ $$aThe correct function of many organs depends on proper lumen morphogenesis, which requires the orchestration of both biological and mechanical aspects. However, how these factors coordinate is not yet fully understood. Here, we focus on the development of a mechanistic model for computationally simulating lumen morphogenesis. In particular, we consider the hydrostatic pressure generated by the cells'' fluid secretion as the driving force and the density of the extracellular matrix as regulators of the process. For this purpose, we develop a 3D agent-based-model for lumen morphogenesis that includes cells'' fluid secretion and the density of the extracellular matrix. Moreover, this computer-based model considers the variation in the biological behavior of cells in response to the mechanical forces that they sense. Then, we study the formation of the lumen under different-mechanical scenarios and conclude that an increase in the matrix density reduces the lumen volume and hinders lumen morphogenesis. Finally, we show that the model successfully predicts normal lumen morphogenesis when the matrix density is physiological and aberrant multilumen formation when the matrix density is excessive.
000120904 536__ $$9info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21
000120904 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000120904 590__ $$a8.7$$b2022
000120904 592__ $$a1.096$$b2022
000120904 591__ $$aENGINEERING, MECHANICAL$$b4 / 136 = 0.029$$c2022$$dQ1$$eT1
000120904 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b12 / 110 = 0.109$$c2022$$dQ1$$eT1
000120904 593__ $$aComputer Science Applications$$c2022$$dQ1
000120904 593__ $$aSoftware$$c2022$$dQ1
000120904 593__ $$aModeling and Simulation$$c2022$$dQ1
000120904 593__ $$aEngineering (miscellaneous)$$c2022$$dQ1
000120904 594__ $$a13.4$$b2022
000120904 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000120904 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, José Manuel$$uUniversidad de Zaragoza
000120904 700__ $$0(orcid)0000-0002-1878-8997$$aGómez-Benito, María José$$uUniversidad de Zaragoza
000120904 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000120904 773__ $$g34 (2022), 4135–4149$$pEng. comput.$$tENGINEERING WITH COMPUTERS$$x0177-0667
000120904 8564_ $$s2378195$$uhttps://zaguan.unizar.es/record/120904/files/texto_completo.pdf$$yVersión publicada
000120904 8564_ $$s2565116$$uhttps://zaguan.unizar.es/record/120904/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000120904 909CO $$ooai:zaguan.unizar.es:120904$$particulos$$pdriver
000120904 951__ $$a2024-03-18-13:03:45
000120904 980__ $$aARTICLE