000086483 001__ 86483
000086483 005__ 20201113085629.0
000086483 0247_ $$2doi$$a10.1017/S1431927619014570
000086483 0248_ $$2sideral$$a113113
000086483 037__ $$aART-2019-113113
000086483 041__ $$aeng
000086483 100__ $$aOlivares, Vanesa
000086483 245__ $$aImage-based characterization of 3D collagen networks and the effect of embedded cells
000086483 260__ $$c2019
000086483 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086483 5203_ $$aCollagen microstructure is closely related to the mechanical properties of tissues and affects cell migration through the extracellular matrix. To study these structures, three-dimensional (3D) in vitro collagen-based gels are often used, attempting to mimic the natural environment of cells. Some key parameters of the microstructure of these gels are fiber orientation, fiber length, or pore size, which define the mechanical properties of the network and therefore condition cell behavior. In the present study, an automated tool to reconstruct 3D collagen networks is used to extract the aforementioned parameters of gels of different collagen concentration and determine how their microstructure is affected by the presence of cells. Two different experiments are presented to test the functionality of the method: first, collagen gels are embedded within a microfluidic device and collagen fibers are imaged by using confocal fluorescence microscopy; second, collagen gels are directly polymerized in a cell culture dish and collagen fibers are imaged by confocal reflection microscopy. Finally, we investigate and compare the collagen microstructure far from and in the vicinities of MDA-MB 23 cells, finding that cell activity during migration was able to strongly modify the orientation of the collagen fibers and the porosity-related values.
000086483 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E46-17R$$9info:eu-repo/grantAgreement/ES/DGA/T50-17R$$9info:eu-repo/grantAgreement/EC/FP7/306571/EU/Predictive modelling and simulation in mechano-chemo-biology: a computer multi-approach/INSILICO-CELL$$9info:eu-repo/grantAgreement/EC/H2020/737543/EU/Image Analysis Online Services for in-vitro experiments/IMAGO$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 737543-IMAGO$$9info:eu-repo/grantAgreement/ES/MICINN/MTM2017-83812-P$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2015-64221-C2-1-R
000086483 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000086483 590__ $$a3.414$$b2019
000086483 591__ $$aMICROSCOPY$$b2 / 10 = 0.2$$c2019$$dQ1$$eT1
000086483 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b114 / 314 = 0.363$$c2019$$dQ2$$eT2
000086483 592__ $$a0.611$$b2019
000086483 593__ $$aInstrumentation$$c2019$$dQ2
000086483 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086483 700__ $$0(orcid)0000-0002-8656-7846$$aCóndor, Mar
000086483 700__ $$0(orcid)0000-0002-3796-4482$$aAmo, Cristina del
000086483 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, Jesús$$uUniversidad de Zaragoza
000086483 700__ $$0(orcid)0000-0002-3784-1140$$aBorau, Carlos
000086483 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, José Manuel$$uUniversidad de Zaragoza
000086483 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000086483 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000086483 773__ $$g25, 4 (2019), 971-981 [25 pp.]$$pMicrosc. microanal.$$tMICROSCOPY AND MICROANALYSIS$$x1431-9276
000086483 8564_ $$s1015252$$uhttps://zaguan.unizar.es/record/86483/files/texto_completo.pdf$$yPostprint
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000086483 951__ $$a2020-11-13-08:47:43
000086483 980__ $$aARTICLE