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Signal Transduction, Networks, and Systems Biology

Manual: General · Subject: Biology

Examine cellular communication pathways, network motifs, feedback control, and quantitative systems analysis.

Signaling Logic

Receptors and second messengers

Cells sense their environment through receptors including G protein-coupled receptors, receptor tyrosine kinases, ligand-gated ion channels, nuclear receptors, and mechanosensors. Signaling cascades often use second messengers such as Ca2+Ca^{2+}, cAMP, IP3_3, DAG, and NONO to amplify and distribute information. Because cascades are modular, the same core pathway can generate distinct outputs depending on cell type, timing, and feedback architecture.

Which feature most contributes to signal amplification?

What is the role of negative feedback in signaling networks?

Network Motifs and Quantitative Biology

Common Network Motifs

Positive feedback

  • Bistability and memory
  • Can create switch-like transitions

Negative feedback

  • Homeostasis and adaptation
  • Can reduce noise

Systems-level interpretation

Systems biology integrates genomics, proteomics, metabolomics, imaging, and perturbation data to infer pathway topology and dynamic behavior. Mathematical formalisms such as ordinary differential equations, stochastic models, Boolean networks, and information theory are used to analyze robustness, controllability, and emergent behavior.

A bistable system is most closely associated with which property?

Why are stochastic models often important in biology?