CHE.496/2008/Responses/a13

Systems biology and synthetic biology

• Discussion leader: George Washington (Discussion guide)

Kevin Hershey's Response

• Systems biology as a foundation for genome-scale synthetic biology
  • The article by Barrett et al. describes the transition from systems biology to synthetic biology. It describes some of the advances in mathematical understanding of biology, in silico analysis, and how synthetic biology can use these tools. It goes on to discuss software applications to synthetic biology, and how they can be used. It finishes by discussing system biology’s importance in successfully using natural evolution. Natural evolution, combined with synthetic biology’s ability to produce constructs based on mathematical understanding, can be a very powerful tool.
• Modular approaches to expanding the functions of living matter
  • The review by Chin provides even further analysis of Ellowitz’s repressilator and Weiss’s ‘bullseye’ cell configuration discussed earlier in the course. The article then goes on to discuss Smolke’s system to create the caffeine sensing bacteria discussed earlier in the course. However, a new aspect of synthetic biology is described by Chin’s and Rackham’s manipulation of the ribosome itself. This is novel, because many of the mechanisms studied in this class dealt with the post-transcriptional RNA, rather than the actual machinery. The modified ribosomes allow for new functions.
• KPHershey 12:05, 1 April 2008 (EDT)

Patrick Gildea's Response

• Systems biology as a foundation for genome-scale synthetic biology
  • The purpose of this article is to make connections between the fields of systems biology and synthetic biology, especially with respect to genome engineering. Figure 1 in the article sums up the relationships between systems biology and synthetic biology. An important point that is made in the paper is the use of computer modeling of cellular systems – especially metabolic pathways. This is a very useful tool but requires knowledge of the kinetics and fluxes in a metabolic system, which can be hard to characterize. But this can be done via analysis of molecular components in the various cellular systems. This paper is beneficial in the metabolic engineering aspect by discussing the different aspects of modeling and how that modeling can be brought along by systems biology.
• Modular approaches to expanding the functions of living matter
  • The article discusses the complexities and important factors that must be considered in developing complex biological networks. Programming biological networks have been aided by the use of modules – both natural and unnatural based modules. Examples of the natural (toggle switch, etc) and unnatural modules (cascades, etc.) are given in the paper. However, I am concerned about the “overuse” of these modules. Biological modules are not as convenient as transistors, resistors, etc. if we tie in a lot of modules that have different functions but similar promoters, won’t the inducer from one module mix in with other modules and cause a chain reaction of entropy? Case in point: my DuoRepressilator would never function correctly if the repressor genes from one repressilator were similar to the other repressilator let alone the toggle switch. The article does discuss stochasticity and provides a solution – transcription factors that negatively regulates its own expression. I am not sure I understand this thoroughly and I don’t see how this can avoid errors that occur when chemical inducers from different modules mix together to cause unknown results.
• Patrick Gildea 16:43, 1 April 2008 (EDT):

Eyad Lababidi's Response

• Systems biology as a foundation for genome-scale synthetic biology
  • This article talks a bit about defining the different biological fields because they all apparently have different niches, but the main point of the article was about modeling cell functions and metabolic processes with boolean math. This is quite amazing when the equation can be written without the metabolic rates. This would allow for implementing on silicon and allows for better modeling and prediction. This seems like aneat idea, but id really like to see an example of it because as far as i saw the article didnt really show how the idea worked.
• Modular approaches to expanding the functions of living matter
• Eyad Lababidi 01:56, 2 April 2008 (EDT)

George McArthur's Response

• Systems biology as a foundation for genome-scale synthetic biology
• Modular approaches to expanding the functions of living matter
• GMcArthurIV 16:44, 2 April 2008 (EDT)