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Results: 6,071
Number of items: 6,071
  • Magnani, L., Frigè, G., Gadaleta, R. M., Corleone, G., Fabris, S., Kempe, H., Verschure, P. J., Barozzi, I., Vircillo, V., Hong, S. P., Perone, Y., Saini, M., Trumpp, A., Viale, G., Neri, A., Ali, S., Colleoni, M. A., Pruneri, G., & Minucci, S. (2017). Acquired CYP19A1 amplification is an early specific mechanism of aromatase inhibitor resistance in ERα metastatic breast cancer. Nature genetics, 49(3), 444-450. https://doi.org/10.1038/ng.3773
  • Bielefeld, P., Pustjens, B., Schouten, M., & Fitzsimons, C. P. (2017). MicroRNA-Mediated Regulation of Adult Hippocampal Neurogenesis: Implications for Hippocampus-dependent Cognition and Related Disorders? In D. De Pietri Tonelli (Ed.), Essentials of Noncoding RNA in Neuroscience: Ontogenetics, Plasticity of the Vertebrate Brain (pp. 155-176). Academic Press. https://doi.org/10.1016/B978-0-12-804402-5.00009-1
  • Lapinlampi, N., Melin, E., Aronica, E., Bankstahl, J. P., Becker, A., Bernard, C., Gorter, J. A., Gröhn, O., Lipsanen, A., Lukasiuk, K., Löscher, W., Paananen, J., Ravizza, T., Roncon, P., Simonato, M., Vezzani, A., Kokaia, M., & Pitkänen, A. (2017). Common data elements and data management: Remedy to cure underpowered preclinical studies. Epilepsy Research, 129, 87-90. https://doi.org/10.1016/j.eplepsyres.2016.11.010
  • Anggoro, D. T., Tark-Dame, M., Walmsley, A., Oka, R., de Sain, M., & Stam, M. (2017). BIBAC-GW-based vectors for generating reporter lines for site-specific genome editing in planta. Plasmid, 89, 27-36. https://doi.org/10.1016/j.plasmid.2016.12.002
  • Vogel, S., Klumpers, F., Navarro Schröder, T., Oplaat, K. T., Krugers, H. J., Oitzl, M. S., Joëls, M., Doeller, C. F., & Fernández, G. (2017). Stress Induces a Shift Towards Striatum-Dependent Stimulus-Response Learning via the Mineralocorticoid Receptor. Neuropsychopharmacology, 42(6), 1262–1271. https://doi.org/10.1038/npp.2016.262
  • Sant'Ana, A. S., Koutsoumanis, K., Brul, S., & Pérez-Rodríguez, F. (2017). Special issue on 9th International Conference on Predictive Modelling in Food (Rio de Janeiro, Brazil). International Journal of Food Microbiology, 240, 1-2. https://doi.org/10.1016/j.ijfoodmicro.2016.10.003
  • De Luca, G., Breedijk, R., Hoebe, R., Stallinga, S., & Manders, E. (2017). Re-scan confocal microscopy (RCM) improves the resolution of confocal microscopy and increases the sensitivity. Methods and applications in fluorescence, 5(1), Article 015002. https://doi.org/10.1088/2050-6120/5/1/015002
  • Barberis, M., Todd, R. G., & van der Zee, L. (2017). Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models. FEMS Yeast Research, 17(1), Article fow103. https://doi.org/10.1093/femsyr/fow103
  • Du, W., Angermayr, S. A., Jongbloets, J. A., Molenaar, D., Bachmann, H., Hellingwerf, K. J., & Branco Dos Santos, F. (2017). Nonhierarchical Flux Regulation Exposes the Fitness Burden Associated with Lactate Production in Synechocystis sp. PCC6803. ACS Synthetic Biology, 6(3), 395-401. https://doi.org/10.1021/acssynbio.6b00235
  • Knaus, U. G., Hertzberger, R., Pircalabioru, G. G., Yousefi, S. P. M., & Branco dos Santos, F. (2017). Pathogen control at the intestinal mucosa - H2O2 to the rescue. Gut Microbes, 8(1), 67-74. https://doi.org/10.1080/19490976.2017.1279378
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