Systems Biology
This course provides an introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communication, and evolutionary systems biology.
Syllabus
- 1 Introduction to the Class and Overview of Topics
- 2 Input Function, Michaelis-Menten kinetics, and Cooperativity
- 3 Autoregulation, Feedback and Bistability
- 4 Synthetic Biology and Stability Analysis in the Toggle Switch
- 5 Oscillatory Genetic Networks
- 6 Graph Properties of Transcription Networks
- 7 Feed-forward Loop Network Motif
- 8 Introduction to Stochastic Gene Expression
- 9 Causes and Consequences of Stochastic Gene Expression
- 10 Stochastic Modeling
- 11 Life at Low Reynolds Number
- 12 Robustness and Bacterial Chemotaxis
- 13 Robustness in Development and Pattern Formation
- 14 Microbial Evolution Experiments and Optimal Gene Circuit Design
- 15 Evolution in Finite Populations
- 16 Clonal Interference and the Distribution of Beneficial Mutations
- 17 Fitness Landscapes and Sequence Spaces
- 18 Evolutionary Games
- 19 Survival in Fluctuating Environments
- 20 Parasites, the Evolution of Virulence and Sex
- 21 Interspecies Interactions
- 22 Ecosystem Stability, Critical Transitions, and Biodiversity
- 23 Dynamics of Populations in Space
- 24 The Neutral Theory of Ecology
Course materials
- Course on MIT OpenCourseWare β website