Selected publications involving BioInfoMiner analysis

  • Role of the early secretory pathway in SARS-CoV-2 infection. Sicari et al. (2020)
    J Cell Biol (2020) 219 (9): e202006005 https://doi.org/10.1083/jcb.202006005
  • RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis. Singh et al. Database, Volume 2020, https://doi.org/10.1093/database/baaa017
  • Control of anterior GRadient 2 (AGR2) dimerization links endoplasmic reticulum proteostasis to inflammation
    M Maurel, et al. EMBO Molecular Medicine, (2019) e10120, DOI 10.15252/emmm.201810120 http://embomolmed.embopress.org/content/early/2019/04/30/emmm.201810120.long
  • Susan E. Logue, Eoghan P. McGrath, Patricia Cleary, Stephanie Greene, Katarzyna Mnich, Aitor Almanza, Eric Chevet, Róisín M. Dwyer, Anup Oommen, Patrick Legembre, Florence Godey, Emma C. Madden, Brian Leuzzi, Joanna Obacz, Qingping Zeng, John B. Patterson, Richard Jäger, Adrienne M. Gorman and Afshin Samali. Inhibition of IRE1 RNase activity modulates the tumor cell secretome and enhances response to chemotherapy.
    Nature Communications 2018; 9: 3267. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6093931/
  • 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. http://www.cell.com/cell-metabolism/abstract/S1550-4131(18)30120-7
  • 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. http://embomolmed.embopress.org/content/early/2018/01/08/emmm.20170792
  • 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). http://dx.doi.org/10.1186/s12864-017-4117-4
  • 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. http://dx.doi.org/10.1038/srep42870
  • 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). http://dx.doi.org/10.1038/srep20544
  • 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). http://dx.doi.org/10.3390/microarrays4040647
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