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Publications

Latests publications

  1. De Miguel, D. et al. TRAIL-coated lipid-nanoparticles overcome resistance to soluble recombinant TRAIL in non-small cell lung cancer cells. Nanotechnology 27, 185101 (2016).
  2. Ayuso, J. M. et al. SU-8 Based Microdevices to Study Self-Induced Chemotaxis in 3D Microenvironments. Front. Mater. 2, 1–10 (2015).
  3. De Miguel, D. et al. TRAIL-coated lipid-nanoparticles overcome resistance to soluble recombinant TRAIL in non-small cell lung cancer cells. Nanotechnology 27, 185101 (2016).
  4. De Miguel, D. et al. Improved Anti-Tumor Activity of Novel Highly Bioactive Liposome-Bound TRAIL in Breast Cancer Cells. Recent Pat. Anticancer. Drug Discov. 11, 197–214 (2016).
  5. De Miguel, D. et al. High-order TRAIL oligomer formation in TRAIL-coated lipid nanoparticles enhances DR5 cross-linking and increases antitumour effect against colon cancer. Cancer Lett. 383, 250–260 (2016).
  6. Ayuso, J. M. et al. Development and characterization of a microfluidic model of the tumour microenvironment. Sci. Rep. 6, 36086 (2016).
  7. Martínez-gonzález, A. et al. Systems Biology of Tumor Microenvironment. vol. 936 (Springer International Publishing, 2016).
  8. Ayuso, J. M. et al. Glioblastoma on a microfluidic chip: Generating pseudopalisades and enhancing aggressiveness through blood vessel obstruction events. Neuro. Oncol. 19, now230 (2017).
  9. Virumbrales-Muñoz, M. et al. Enabling cell recovery from 3D cell culture microfluidic devices for tumour microenvironment biomarker profiling. Sci. Rep. 9, (2019).
  10. González-Lana, S. Surface modifications of COP-based microfluidic devices for improved immobilisation of hydrogel proteins: long-term 3D culture with contractile cell types and ischaemia model. LAB ON A CHIP. (2023).
  11. Stankovic, T. et al.  In vitro biomimetic models for glioblastoma-a promising tool for drug response studies. DRUG RESISTANCE UPDATES. 55, pp. 100753. (2021).
  12. Pérez-Aliacar. M. et al. Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning pproach. Computers in Biology and Medicine. 135, pp. 104547 (2021).
  13. Virumbrales-Muñoz M et al. Enabling cell recovery from 3D cell culture microfluidic devices for tumour microenvironment biomarker profiling. Sci Rep. (2019).
  14. Ayensa-Jiménez, J. et al. Mathematical formulation and parametric analysis of in vitro cell models in microfluidic devices: application to different stages of glioblastoma evolution. SCIENTIFIC REPORTS. 10 – 1, pp. 21193 (2020).
  15. Ayensa-Jiménez, J. et al. M. Analysis of the parametric correlation in mathematical modeling of in vitro glioblastoma evolution using copulas. MATHEMATICS. 9 – 1, pp. 27 (2021).
  16. Fernandez-Carro, E. et al. ‘Nanoparticles Stokes radius assessment through permeability coefficient determination within a new stratified epithelium on-chip model’, Artificial cells, nanomedicine, and biotechnology, 51(1), pp. 466–475. (2023).
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