Resultados totales (Incluyendo duplicados): 2
Encontrada(s) 1 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
Dataset. 2022

MAGNETICALLY ACTIVATED PIEZOELECTRIC 3D PLATFORM BASED ON POLY(VINYLIDENE) FLUORIDE MICROSPHERES FOR OSTEOGENIC DIFFERENTIATION OF MESENCHYMAL STEM CELLS

  • Guillot Ferriols, María Teresa
  • García Briega, María Inmaculada|||0000-0003-0811-2632
  • Tolosa Pardo, Laia
  • Costa, Carlos Miguel
  • Lanceros-Mendez, Senentxu
  • Gómez Ribelles, José Luís|||0000-0001-9099-0885
  • Gallego Ferrer, Gloria|||0000-0002-2428-0903
Mesenchymal stem cells (MSCs) osteogenic commitment before injection enhances bone regen-eration therapy results. Piezoelectric stimulation may be an effective cue to promote MSC pre-differentiation, and poly(vinylidene) fluoride (PVDF) cell culture supports, when combined with CoFe2O4 (CFO), offer a wireless in vitro stimulation strategy. Under an external magnetic field, CFO shift and magnetostriction deform the polymer matrix varying the polymer surface charge due to the piezoelectric effect. To test the effect of piezoelectric stimulation on MSCs, our approach is based on a gelatin hydrogel with embedded MSCs and PVDF-CFO electroactive mi-crospheres. Microspheres were produced by electrospray technique, favouring CFO incorpora-tion, crystallisation in -phase (85 %) and a crystallinity degree of around 55 %. The absence of cytotoxicity of the 3D construct was confirmed 24 hours after cell encapsulation. Cells were via-ble, evenly distributed in the hydrogel matrix and surrounded by microspheres, allowing local stimulation. Hydrogels were stimulated using a magnetic bioreactor, and no significant changes were observed in MSCs proliferation in short or long term. Nevertheless, piezoelectric stimula-tion upregulated RUNX2 expression after 7 days, indicating the activation of the osteogenic dif-ferentiation pathway. These results open the door for optimising a stimulation protocol allow-ing the application of the magnetically activated 3D electroactive cell culture support for MSCs pre-differentiation before transplantation.

DOI: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
HANDLE: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
PMID: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
Ver en: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
Dataset. 2024

IMAGE DATABASE FOR THE SCIENTIFIC PAPER: DEEP LEARNING ALGORITHM, BASED ON CONVOLUTIONAL NEURAL NETWORKS, FOR EQUIVALENT ELECTRICAL CIRCUIT RECOMMENDATION FOR ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY

  • Pérez Herranz, Valentín|||0000-0002-4010-0888
  • Giner Sanz, Juan José|||0000-0003-0441-6102
  • Sáez Pardo, Fermín
The present dataset is the database and image database used to train and test the Convolutional Neural Network models of the scientific paper: Deep Learning algorithm, based on convolutional neural networks, for electrical equivalent electrical circuit recommendation for Electrochemical Impedance Spectroscopy

DOI: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
HANDLE: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
PMID: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
Ver en: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500

Buscador avanzado