Targeted phosphoproteomics-based prediction of drug responses to combinatorial treatment (A07)

• Subject Area: Bioinformatics and Theoretical Biology ; Biochemistry ; Hematology, Oncology
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 493872418

This project aims to improve analytical methods to detect states in signaling networks that could predict drug sensitivity. A targeted phosphoproteome (PP) panel for the NB will be designed, and comprehensive catalogs of on- and off-target effects for drugs used in perturbation studies will be generated. A computerized tool will be developed to convert PP profiles into easily interpretable metabolic pathway activity values, and then applied to a representative cell line panel. Computer models will be used to hypothesize resistance mechanisms and synergies for combinatorial treatments.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1588: Decoding and Targeting Mechanisms of Neuroblastoma Evolution
• Applicant Institution: shared FU Berlin and HU Berlin through:; Charité - Universitätsmedizin Berlin
• Project Heads: Professor Dr. Nils Blüthgen; Professor Dr. Matthias Selbach