000078750 001__ 78750
000078750 005__ 20200117221655.0
000078750 0247_ $$2doi$$a10.1016/j.bone.2017.10.025
000078750 0248_ $$2sideral$$a103491
000078750 037__ $$aART-2018-103491
000078750 041__ $$aeng
000078750 100__ $$0(orcid)0000-0002-0163-8378$$aMovilla, N.
000078750 245__ $$aDegradation of extracellular matrix regulates osteoblast migration: A microfluidic-based study
000078750 260__ $$c2018
000078750 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078750 5203_ $$aBone regeneration is strongly dependent on the capacity of cells to move in a 3D microenvironment, where a large cascade of signals is activated. To improve the understanding of this complex process and to advance in the knowledge of the role of each specific signal, it is fundamental to analyze the impact of each factor independently. Microfluidic-based cell culture is an appropriate technology to achieve this objective, because it allows recreating realistic 3D local microenvironments by taking into account the extracellular matrix, cells and chemical gradients in an independent or combined scenario. The main aim of this work is to analyze the impact of extracellular matrix properties and growth factor gradients on 3D osteoblast movement, as well as the role of cell matrix degradation. For that, we used collagen-based hydrogels, with and without crosslinkers, under different chemical gradients, and eventually inhibiting metalloproteinases to tweak matrix degradation. We found that osteoblast''s 3D migratory patterns were affected by the hydrogel properties and the PDGF-BB gradient, although the strongest regulatory factor was determined by the ability of cells to remodel the matrix.
000078750 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/DPI2015-64221-C2-1-R$$9info:eu-repo/grantAgreement/EC/FP7/306571/EU/Predictive modelling and simulation in mechano-chemo-biology: a computer multi-approach/INSILICO-CELL
000078750 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000078750 590__ $$a4.36$$b2018
000078750 591__ $$aENDOCRINOLOGY & METABOLISM$$b31 / 145 = 0.214$$c2018$$dQ1$$eT1
000078750 592__ $$a1.609$$b2018
000078750 593__ $$aEndocrinology, Diabetes and Metabolism$$c2018$$dQ1
000078750 593__ $$aPhysiology$$c2018$$dQ1
000078750 593__ $$aHistology$$c2018$$dQ1
000078750 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000078750 700__ $$0(orcid)0000-0002-3784-1140$$aBorau, C.$$uUniversidad de Zaragoza
000078750 700__ $$0(orcid)0000-0001-9318-7107$$aValero, C.
000078750 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, J.M.$$uUniversidad de Zaragoza
000078750 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000078750 773__ $$g107 (2018), 10-17$$pBone$$tBONE$$x8756-3282
000078750 8564_ $$s1732144$$uhttps://zaguan.unizar.es/record/78750/files/texto_completo.pdf$$yPostprint
000078750 8564_ $$s97794$$uhttps://zaguan.unizar.es/record/78750/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000078750 909CO $$ooai:zaguan.unizar.es:78750$$particulos$$pdriver
000078750 951__ $$a2020-01-17-22:10:53
000078750 980__ $$aARTICLE