Host institute: Technion, Israel Institute of Technology; Haifa, Israel
PI: Eyal Gottlieb.
Objectives: Analyze comprehensive transcriptomic and metabolomic data using statistics, machine learning, and systems biology algorithms, to study the potential metabolic adaptations of cancer cell to the central nervous system niche.
Expected results: We aim to identify the differences in CSF metabolic profiles between patients with leukemia, patients without detectable CNS leukemia, and normal controls. Our goal is to develop a diagnostic tool that identifies CNS involvement of leukemia in early stages of the disease or during relapse after treatment.
As part of our MSCA-ESR training on complementary skills we got to leave the wet lab to explore what happens on the other side of the bench and to learn what it means to be a scientific editor. This is our story.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766214.
Bellvitge Biomedical
Research Institute (IDIBELL)
Hospital Duran i Reynals, 3a planta
Gran Via de l’Hospitalet, 199
08908 L’Hospitalet del Llobregat
Barcelona, Spain
