000128025 001__ 128025
000128025 005__ 20250923084409.0
000128025 0247_ $$2doi$$a10.1007/s40571-023-00639-1
000128025 0248_ $$2sideral$$a135209
000128025 037__ $$aART-2024-135209
000128025 041__ $$aeng
000128025 100__ $$aGonçalves, Inês G.
000128025 245__ $$aNeurorosettes: a novel computational modelling framework to investigate the Homer-Wright rosette formation in neuroblastoma
000128025 260__ $$c2024
000128025 5060_ $$aAccess copy available to the general public$$fUnrestricted
000128025 5203_ $$aCancer deregulates the interactions between cells and their microenvironment, leading to disrupted architectures. Homer-Wright rosettes, observed in neuroblastoma, comprise radial arrangements of neurons surrounding a meshwork of fibres. Currently, scientists believe that the presence of Homer-Wright rosettes reflects aberrant neuronal differentiation. Nonetheless, additional understanding of how these structures develop is required since neither experimental nor computational research has characterised this mechanism properly. In this work, we propose a mechanics-based computational framework to investigate Homer-Wright rosette formation. Our model depicts neurons as a combination of spherical (cell bodies) and cylindrical (neurites) agents, and it includes proliferation, neuronal differentiation, and adhesion/repulsion dynamics between neurons. We implemented our framework as an open-source user-friendly Python package called neurorosettes that provides real-time rendering of simulation results, making it adequate for general researchers to test and visualize hypotheses of Homer-Wright rosette formation. Furthermore, we present three example use-cases to replicate the emergence of this rosette subtype and investigate how mechanical interactions between neurons and neuronal differentiation may regulate its architecture. Due to the spare amount of experimental data on the formation of these histological patterns, our applications serve primarily as preliminary examples of how our tool can be used and extended. Although our preliminary results show the relevance of mechanical interactions and poor neuronal differentiation to Homer-Wright rosette formation, these factors appear to only predict the initial stages of rosette formation. Overall, our tool can improve the theoretical knowledge on this process and drive the design of new experimental studies to validate model results.
000128025 536__ $$9info:eu-repo/grantAgreement/EC/H2020/101018587/EU/Individual and Collective Migration of the Immune Cellular System/ICoMICS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101018587-ICoMICS$$9info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE
000128025 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000128025 590__ $$a2.8$$b2024
000128025 592__ $$a0.623$$b2024
000128025 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b29 / 136 = 0.213$$c2024$$dQ1$$eT1
000128025 593__ $$aComputational Mechanics$$c2024$$dQ1
000128025 591__ $$aMECHANICS$$b66 / 171 = 0.386$$c2024$$dQ2$$eT2
000128025 593__ $$aComputational Mathematics$$c2024$$dQ2
000128025 593__ $$aNumerical Analysis$$c2024$$dQ2
000128025 593__ $$aFluid Flow and Transfer Processes$$c2024$$dQ2
000128025 593__ $$aModeling and Simulation$$c2024$$dQ2
000128025 593__ $$aCivil and Structural Engineering$$c2024$$dQ2
000128025 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000128025 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, Jose Manuel$$uUniversidad de Zaragoza
000128025 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000128025 773__ $$g11 (2024), 565-577$$tComputational Particle Mechanics$$x2196-4378
000128025 8564_ $$s3979609$$uhttps://zaguan.unizar.es/record/128025/files/texto_completo.pdf$$yVersión publicada
000128025 8564_ $$s2580857$$uhttps://zaguan.unizar.es/record/128025/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000128025 909CO $$ooai:zaguan.unizar.es:128025$$particulos$$pdriver
000128025 951__ $$a2025-09-22-14:29:19
000128025 980__ $$aARTICLE