A BIOinformatics research unit with a TRANSlational interest.

In the Translational Bioinformatics Unit (TransBio) we aim to address relevant challenges and bottlenecks in the course of translating basic science research into clinical knowledge. TransBio is a multi-disciplinary team formed by individuals with different combinations of biological, clinical and quantitative knowledge.

TransBio team is located at Navarrabiomed which is a “biomedical research centre of the Government of Navarre that promotes and facilitates the research of public healthcare professionals. Its location in the heart of the Hospital Complex of Navarre encourages close proximity and collaboration between researchers and professionals working in clinical and healthcare environments”. TransBio has long-term established collaborations with teams at Karolinska Institutet, King´s College London  and KAUST.

WE ARE RECRUITING, PLEASE see here for details (if an offer is available) or please contact us directly.

Recent publications of interest (see the entire list here):

  • Ferreirós-Vidal I, Carroll T, Zhang T, Lagani V, Ramirez RN, Ing-Simmons E, et al. Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation. PLOS Biol. 2019;17.
  • Ewing E, Kular L, Fernandes SJ, Karathanasis N, Lagani V, Ruhrmann S, et al. Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression. EBioMedicine. Elsevier; 2019.
  • Joshi et al. Phosphatase inhibitor PPP1R11 modulates resistance of human T cells toward Treg‐mediated suppression of cytokine expression. J Leukoc Biol. 2019.
  • Karlsson L, Barbaro M, Ewing E, Gomez-Cabrero D*, Lajic S*; Epigenetic Alterations Associated With Early Prenatal Dexamethasone Treatment, Journal of the Endocrine Society, 2019; 3:1 pp. 250–263.
  • Kular et al, DNA methylation as a mediator of HLA-DRB1*15:01 and a protective variant in Multiple Sclerosis. Nat. Communications, 2018; 9 article number 2397.
  • James T, Linde M, Morikawa H, Fernandes SJ, Ruhrmann S, Huss M, …, Gomez-Cabrero D*, Kockum I*. Impact of genetic risk loci for multiple sclerosis on expression of proximal genes in patients. Hum Mol Genet. 2018;0: 1–17. doi:10.1093/hmg/ddy001