Systems and Synthetic Biology

Start Date for Spring Term: March 31st

End Date for Spring Term: June 6th.

This page describes the systems and synthetic biology elective course, 499.

http://pbd.lbl.gov/sbconf/about.php

Course Description and Objectives Syllabus

This course offers an introduction to system and synthetic biology. This course is designed for seniors and/or graduates who have an interest in bioengineering at the cellular network level. Students will be introduced to the field of synthetic biology and its application in systems biology and applied engineering. Students will understand in quantitative terms the basic principles of operation of regulation at the cellular level, including metabolic, signaling and gene networks; discover how cellular networks can be reengineered, taking examples from the iGEM competitions and applications such as metabolic engineering; learn how to build computer models of cellular networks; appreciate that cellular systems are very noisy, particularly bacterial systems and how these can be modeled and studied experimentally. By the end of the course students will, by simple visual inspection of a network structure, will be able to make statements on the network’s possible dynamic behavior. This ability is a prerequisite for engineering new networks.

Learn about biological parts and their properties. Understand gene and enzyme action.
Learn about network structure and pathway engineering.
Understand how synthetic networks can be simulated, built and tested in a real organism.
Learn about manipulating DNA and measuring responses.
Learn how to construct computational models and use them to study network behavior. Understand the behavior of basic network motifs found in cellular and synthetic systems, including switches, oscillators, filters, logic and pulse devices.
Learn how to build complex modular networks in silico as part of a team project.

Basic course structure:

Introduction of essential biological concepts
Kinetics of Enzyme, Protein and Gene Regulation
Network Structure, Molecular and Flux Conservation Laws
Computational Methods (simulation)
Basic Network Circuits
Experimental Techniques in Molecular Biology
Advanced Network Circuits - Bistability, Oscillators, Amplifiers, Filters and pulse generators.
Team Project to design a complex network