Resultados totales (Incluyendo duplicados): 2
Encontrada(s) 1 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
Dataset. 2021

BIOMIMETIC 3D ENVIRONMENT BASED ON MICROGELS AS A MODEL FOR THE GENERATION OF DRUG RESISTANCE IN MULTIPLE MYELOMA

  • Marin Paya, Juan Carlos
  • Díaz Benito, Blanca
  • Amaro Martins, Luis
  • Clara Trujillo, Sandra
  • Cordón, Lourdes
  • Lanceros-Mendez, Senentxu
  • Gallego Ferrer, Gloria|||0000-0002-2428-0903
  • Sempere, Amparo
  • Gómez Ribelles, José Luís|||0000-0001-9099-0885
The development of three-dimensional environments to mimic the in vivo cellular response is a problem in the building of disease models. This study aimed to synthesize and validate three-dimensional support for culturing monoclonal plasma cells (mPCs) as a disease model for multiple myeloma. The three-dimensional environment is a biomimetic microgel formed by alginate microspheres and produced on a microfluidic device whose surface has been functionalized by a layer-by-layer process with components of the bone marrow’s extracellular matrix, which will interact with mPC. As a proof of concept, RPMI 8226 cell line cells were cultured in our 3D culture platform. We proved that hyaluronic acid significantly increased cell proliferation and corroborated its role in inducing resistance to dexamethasone. Despite collagen type I having no effect on proliferation, it generated significant resistance to dexamethasone. Additionally, it was evidenced that both biomolecules were unable to induce resistance to bortezomib. These results validate the functionalized microgels as a 3D culture system that emulates the interaction between tumoral cells and the bone marrow extracellular matrix. This 3D environment could be a valuable culture system to test antitumoral drugs efficiency in multiple myeloma.

DOI: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
HANDLE: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
PMID: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
Ver en: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202369
Dataset. 2024

AL GUEFOAMS PROTECTED AGAINST CORROSION BY RGO

  • Rodrigo, Rubén
  • Molina, Javier|||0000-0003-3378-8271
  • Bonastre, José|||0000-0002-5068-6608
  • Maiorano, Lucila P
  • Molina, José M
  • Cases, Francisco|||0000-0001-8105-4489
To enhance their corrosion protection, Guefoams were coated with RGO using both potentiostatic and potentiodynamic methods. The potentiodynamic method produced the thickest RGO coating and the lowest Cl, O, and Al content, as observed using FESEM and EDX. The Guefoams were exposed to a 3.5% NaCl solution and steam. The polarization resistance was examined, electro-chemical impedance spectroscopy was performed, and polarization curves were constructed to monitor the corrosion process. After 28 days, the Al concentrations in the solutions were meas-ured, and were found to be 145 mg/L (bare Guefoam), 70 mg/L (RGO-coated, potentiostatic), and 35 mg/L (RGO-coated, potentiodynamic). The potentiodynamic RGO coating also showed the best corrosion protection values., Thanks to the projects PDC2021-121617-C21 and PDC2021-121617-C22, funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. and Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital (Generalitat Valenciana) (GVA-COVID19/2021/097).The Electron Microscopy Service of the UPV (Universitat Politècnica de València) is gratefully acknowledged for their help with the FESEM and EDX characterization.

DOI: Dataset/10251/202369" target="_blank">http://hdl.handle.net/10251/202369, https://dx.doi.org/10.4995/Dataset/10251/202369
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202369
HANDLE: Dataset/10251/202369" target="_blank">http://hdl.handle.net/10251/202369, https://dx.doi.org/10.4995/Dataset/10251/202369
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202369
PMID: Dataset/10251/202369" target="_blank">http://hdl.handle.net/10251/202369, https://dx.doi.org/10.4995/Dataset/10251/202369
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202369
Ver en: Dataset/10251/202369" target="_blank">http://hdl.handle.net/10251/202369, https://dx.doi.org/10.4995/Dataset/10251/202369
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202369

Advanced search