Systems Biology (2014‪)‬ MIT

In this lecture, Prof. Jeff Gore introduces the topics of the course, which broadly include gene networks and cellular decision-making, evolutionary systems biology, and ecological systems biology.

Prof. Jeff Gore discusses the kinetics of gene expression. Simple input-output relationships and chemical/enzyme kinetics. Response time for stable proteins. Ultrasensitivity: cooperative binding or multimer molecular titration.

Prof. Jeff Gore continues his discussion of gene expression, this time with a focus on autoregulation (when a gene regulates its own expression). He begins by discussing the network motif, then moves on to both negative and positive autoregulation.

In this lecture, Prof. Jeff Gore discusses the toggle switch, or two genes that repress each other. He then moves on to dimensionless equations and stability analysis.

Prof. Jeff Gore introduces oscillatory genetic networks. He asks why oscillations are useful, and why might we want to design an oscillator. Central to the lecture is a Nature article: A synthetic oscillatory network of transcriptional regulators.

Prof. Jeff Gore continues the discussion of oscillators, including alternative designs for oscillators. He then discusses the article Emergence of scaling in random networks, by Barabási & Albert. The final topic is network motifs.