Chapter title |
Towards Synthetic Gene Circuits with Enhancers: Biology's Multi-input Integrators.
|
---|---|
Chapter number | 1 |
Book title |
Reprogramming Microbial Metabolic Pathways
|
Published in |
Sub cellular biochemistry, January 2012
|
DOI | 10.1007/978-94-007-5055-5_1 |
Pubmed ID | |
Book ISBNs |
978-9-40-075054-8, 978-9-40-075055-5
|
Authors |
Amit, Roee, Roee Amit |
Abstract |
One of the greatest challenges facing synthetic biology is to develop a technology that allows gene regulatory circuits in microbes to integrate multiple inputs or stimuli using a small DNA sequence "foot-print", and which will generate precise and reproducible outcomes. Achieving this goal is hindered by the routine utilization of the commonplace σ(70) promoters in gene-regulatory circuits. These promoters typically are not capable of integrating binding of more than two or three transcription factors in natural examples, which has limited the field to developing integrated circuits made of two-input biological "logic" gates. In natural examples the regulatory elements, which integrate multiple inputs are called enhancers. These regulatory elements are ubiquitous in all organisms in the tree of life, and interestingly metazoan and bacterial enhancers are significantly more similar in terms of both Transcription Factor binding site arrangement and biological function than previously thought. These similarities imply that there may be underlying enhancer design principles or grammar rules by which one can engineer novel gene regulatory circuits. However, at present our current understanding of enhancer structure-function relationship in all organisms is limited, thus preventing us from using these objects routinely in synthetic biology application. In order to alleviate this problem, in this book chapter, I will review our current view of bacterial enhancers, allowing us to first highlight the potential of enhancers to be a game-changing tool in synthetic biology application, and subsequently to draw a road-map for developing the necessary quantitative understanding to reach this goal. |
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