000168554 001__ 168554
000168554 005__ 20260211123807.0
000168554 0247_ $$2doi$$a10.1016/j.jbiomech.2015.10.026
000168554 0248_ $$2sideral$$a94948
000168554 037__ $$aART-2016-94948
000168554 041__ $$aeng
000168554 100__ $$0(orcid)0000-0002-3796-4482$$aDel Amo, C.$$uUniversidad de Zaragoza
000168554 245__ $$aQuantification of angiogenic sprouting under different growth factors in a microfluidic platform
000168554 260__ $$c2016
000168554 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168554 5203_ $$aAngiogenesis, as example of collective migration of endothelial cells (ECs), is the main dynamic process that culminates in sprout formation from existing vessels. After tissue injury, the vascularity is interrupted, triggering the regeneration process and the release of different growth factors (GFs). The main aim of this work is to quantify the effect of specific GFs during the initial stage of sprout formation, namely: VEGF, PDGF-BB, TGFß and BMP-2, all of them involved in regenerative processes. For this purpose, we designed a novel algorithm implemented in Matlab to quantify the advance of the EC monolayer over time and the sprout structure in 3D. Our results show that VEGF is the main regulatory GF on angiogenesis processes, producing longer sprouts with higher frequency. However, the chemoattractant effect of VEGF depends on its concentration and its spatiotemporal location, having a critical impact on the sprout time evolution. PDGF-BB (namely as PDGF) has a global negative effect on both the number and length of sprouts. TGFß enhances sprout length at earlier times, although its effect gradually disappears over time. Finally, BMP-2 produces, overall, less number and shorter sprouts, but was the only GF with a positive evolution at longer times, producing fewer but longer sprouts.
000168554 536__ $$9info:eu-repo/grantAgreement/EUR/FP7/ERC2012-StG-306751$$9info:eu-repo/grantAgreement/ES/MEC/FPU13-03194$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2012-38090-C03-01
000168554 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000168554 590__ $$a2.664$$b2016
000168554 591__ $$aENGINEERING, BIOMEDICAL$$b25 / 77 = 0.325$$c2016$$dQ2$$eT1
000168554 591__ $$aBIOPHYSICS$$b32 / 73 = 0.438$$c2016$$dQ2$$eT2
000168554 592__ $$a1.242$$b2016
000168554 593__ $$aBiomedical Engineering$$c2016$$dQ1
000168554 593__ $$aBiophysics$$c2016$$dQ1
000168554 593__ $$aSports Science$$c2016$$dQ1
000168554 593__ $$aRehabilitation$$c2016$$dQ1
000168554 593__ $$aOrthopedics and Sports Medicine$$c2016$$dQ1
000168554 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000168554 700__ $$0(orcid)0000-0002-3784-1140$$aBorau, C.$$uUniversidad de Zaragoza
000168554 700__ $$aGutiérrez, R.
000168554 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, J.$$uUniversidad de Zaragoza
000168554 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, J.M.$$uUniversidad de Zaragoza
000168554 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000168554 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000168554 773__ $$g49, 8 (2016), 1340-1346$$pJ. biomech.$$tJournal of Biomechanics$$x0021-9290
000168554 8564_ $$s1118432$$uhttps://zaguan.unizar.es/record/168554/files/texto_completo.pdf$$yPostprint
000168554 8564_ $$s2823363$$uhttps://zaguan.unizar.es/record/168554/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000168554 909CO $$ooai:zaguan.unizar.es:168554$$particulos$$pdriver
000168554 951__ $$a2026-02-11-10:27:03
000168554 980__ $$aARTICLE