Systems Biology x Network Biology GOAL: develop a quantitative understanding of the biological function of genetic and biochemical networks INPUT gene gene B gene C gene D gene E gene F OUTPUT function of gene product A-F can be known in detail but this is not sufficient to reveal the biological function of the inPUt-oUTPUt relation a system approach ( looking beyond one gene/protein) is necessary to reveal the biological function of this whole network what is the function of the individual interactions(feedbacks and feedforwards)in the context of the entire network?
Systems Biology ≈ Network Biology GOAL: develop a quantitative understanding of the biological function of genetic and biochemical networks gene A gene C gene E gene B gene D gene F INPUT OUTPUT - function of gene product A-F can be known in detail but this is not sufficient to reveal the biological function of the INPUT-OUTPUT relation - a system approach (looking beyond one gene/protein) is necessary to reveal the biological function of this whole network - what is the function of the individual interactions (feedbacks and feedforwards) in the context of the entire network ?
Three levels of complexity I Systems Microbiology(14 Lectures) The cell as a we/l-stirred biochemica/ reactor II Systems Cell Biology(8 Lectures) The cell as a compartmentalized system with concentration gradients Ill Systems Developmental Biology (3 Lectures The cell in a social context communicating with neighboring cells
Three levels of complexity I Systems Microbiology (14 Lectures) ‘The cell as a well-stirred biochemical reactor’ II Systems Cell Biology (8 Lectures) ‘The cell as a compartmentalized system with concentration gradients’ III Systems Developmental Biology (3 Lectures) ‘The cell in a social context communicating with neighboring cells’
I Systems Microbiology(14 Lectures 7hece∥ as a we∥}- stirred boc/ nem/ca/ reactor Introduction 2 Chemical kinetics, Equilibrium binding, cooperativity L3 Lambda phage L4 Stability analysis L5-6 Genetic switches L7 E coli chemotaxis L8 Fine -tuned versus robust models L9 Receptor clustering L10-11 Stochastic chemical kinetics L12-13 Genetic oscillators L14 Circadian rhythms
I Systems Microbiology (14 Lectures) ‘The cell as a well-stirred biochemical reactor’ L1 Introduction L2 Chemical kinetics, Equilibrium binding, cooperativity L3 Lambda phage L4 Stability analysis L5-6 Genetic switches L7 E. coli chemotaxis L8 Fine-tuned versus robust models L9 Receptor clustering L10-11 Stochastic chemical kinetics L12-13 Genetic oscillators L14 Circadian rhythms
I Systems Microbiology(14 Lectures 7hece∥ as a we∥}- stirred boc/ nem/ca/ reactor Introduction L2 Chemical kinetics, Equilibrium binding, cooperativity Lambda phage L4 Stability analysis L5-6 Genetic switches L7 E coli chemotaxis L8 Fine -tuned versus robust models L9 Receptor clustering L10-11 Stochastic chemical kinetics L12-13 Genetic oscillators L14 Circadian rhythms
I Systems Microbiology (14 Lectures) ‘The cell as a well-stirred biochemical reactor’ L1 Introduction L2 Chemical kinetics, Equilibrium binding, cooperativity L3 Lambda phage L4 Stability analysis L5-6 Genetic switches L7 E. coli chemotaxis L8 Fine-tuned versus robust models L9 Receptor clustering L10-11 Stochastic chemical kinetics L12-13 Genetic oscillators L14 Circadian rhythms
Introduction phage biology Phage genome 48512 base pairs- 12 kB phage. jpg 10 kB Image removed due to copyright considerations See Ptashne, Mark. a genetic switch: phage lambda. 3rd ed. Cold Spring Harbor, NY. Cold Spring Harbor Laboratory Press, 2004
Introduction phage biology Phage genome: 48512 base pairs ~ 12 kB ‘phage.jpg’ ~ 10 kB Image removed due to copyright considerations. See Ptashne, Mark. A genetic switch: phage lambda. 3rd ed. Cold Spring Harbor, N.Y.: Cold Spring Harbor Laboratory Press, 2004