#24 · Systems biology

Multi-omic and phosphoproteomic profiling reveals signaling and radiosensitivity networks

The common thread is computational inference of cellular state from multi-layer or indirect measurements. INSIGHT couples cell sorting with mass spectrometry to map in vivo phosphoproteomic networks of disseminating glioblastoma cells derived from patients. The dependency-map study pairs 147 genome-scale CRISPR screens with multi-omic profiles across NextGen organoid and spheroid models from 10 tumour types, extending DepMap as a public resource. The miR-206/SIRT1/p53 study is a distinct modelling example, framing a double-negative feedback loop as a bistable switch that governs breast cancer radiosensitivity. What is new is the shift toward resolving phosphoproteomic and dependency architecture in more physiologically relevant contexts, combining in vivo proteomic readouts, 3D model genetics and mechanistic network models.