Selected publications involving BioInfoMiner analysis

  • Rubio-Patiño C., Bossowski, J., De Donatis, G. M., Mondragón, L., Villa, E., Aira, L., Chiche, J., Mhaidly, R., Lebeaupin, C.,  Marchetti, S., Voutetakis, K., Chatziioannou, A., Castelli, F., Lamourette, P., Chu-Van E., , Fenaille, F., Avril, T., Passeron, T., Patterson J., Verhoeyen, E., Bailly-Maitre, B., Chevet, E., Ricci, J.E. (1Mar. 2018.). Low-Protein Diet Induces IRE1α-Dependent Anticancer Immunosurveillance. Cell Metabolism.
  • Lhomond, S., Avril, T., Dejeans, N., Voutetakis, K., Doultsinos, D., & McMahon, M. et al. (2018). Dual IRE1 RNase functions dictate glioblastoma development. EMBO Molecular Medicine.
  • Georgiadis, P., Liampa, I., Hebels, D., Krauskopf, J., Chatziioannou, A., & Valavanis, I. et al. (2017). Evolving DNA methylation and gene expression markers of B-cell chronic lymphocytic leukemia are present in pre-diagnostic blood samples more than 10 years prior to diagnosis. BMC Genomics, 18(1).
  • Chatziioannou, A., Georgiadis, P., Hebels, D., Liampa, I., Valavanis, I., & Bergdahl, I. et al. (2017). Blood-based omic profiling supports female susceptibility to tobacco smoke-induced cardiovascular diseases. Scientific Reports, 7, 42870.
  • Georgiadis, P., Hebels, D., Valavanis, I., Liampa, I., Bergdahl, I., & Johansson, A. et al. (2016). Omics for prediction of environmental health effects: Blood leukocyte-based cross-omic profiling reliably predicts diseases associated with tobacco smoking. Scientific Reports, 6(1).
  • Valavanis, I., Pilalis, E., Georgiadis, P., Kyrtopoulos, S., & Chatziioannou, A. (2015). Cancer Biomarkers from Genome-Scale DNA Methylation: Comparison of Evolutionary and Semantic Analysis Methods. Microarrays, 4(4).