
24 episodes

Systems Biology (2014) MIT
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- Science
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5.0 • 1 Rating
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Introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics.
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Introduction to the class and overview of topics
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.
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Input function, Michaelis-Menten kinetics, and cooperativity
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.
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Autoregulation, feedback and bistability
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.
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Synthetic biology and stability analysis in the toggle switch
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.
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Oscillatory genetic networks
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.
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Graph properties of transcription networks
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.
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