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Learning Objectives
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Now · 1. Signaling Networks
Learning Objectives
- Understand signaling network architecture
- Analyze neural connectivity networks
1. Signaling Networks
Nodes: Receptors, kinases, transcription factors. Edges: Phosphorylation, binding, localization.
Key features: Cascades (MAPK: Raf->MEK->ERK amplify signal), Scaffolds (organize complexes), Cross-talk (pathway integration), Feedback (negative for homeostasis, positive for bistability).
2. Neural Connectivity Networks
Structural connectome: Physical synaptic connections. Functional connectome: Correlated brain region activity (fMRI).
Properties: Small-world topology (efficient information transfer), hub regions (default mode network), modular organization (functional specialization).
Q1: What is the MAPK signaling cascade?Raf (MAPKKK) -> MEK (MAPKK) -> ERK (MAPK). Sequential phosphorylation. Amplifies signal. Key for cell proliferation, differentiation, survival. Dysregulated in ~30% of cancers. Q2: What is the connectome?Complete map of neural connections. C. elegans (300 neurons) fully mapped. Human connectome project maps large-scale brain connectivity using diffusion MRI. Q3: How does positive feedback create bistability?Mutual activation creates two stable states (OFF/ON). Once ON, stays ON until reset. Like biological switch. Example: cell cycle transitions. Q4: What brain networks are disrupted in Alzheimer's?Default mode network (memory consolidation) affected first. Reduced efficiency, hub vulnerability. Network biomarkers enable early diagnosis. Join Discord PreviousNetwork Visualization & ToolsNextNetwork-Based Drug Discovery