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Team:Brown/Project/Light pattern
From 2010.igem.org
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===Overview=== | ===Overview=== | ||
| - | Our project this year attempts to tackle what we thought to be an emerging issue in synthetic biology. There is a growing trend among iGEM projects towards complex systems; the registry of standard parts is growing quickly and the tools at the disposal of a synthetic biologist are increasing rapidly. | + | Our project this year attempts to tackle what we thought to be an emerging issue in synthetic biology. There is a growing trend among iGEM projects towards complex systems; the registry of standard parts is growing quickly and the tools at the disposal of a synthetic biologist are increasing rapidly. While many of these systems rely on an autonomous progression of events in the chasis - say, a cell encounters some environmental stimulus which triggers downstream responses - some require precise user control. This is especially true for projects in the manufacturing area, as often a product is achieved following a progression of steps within the cell. |
===Workflow/Methods=== | ===Workflow/Methods=== | ||
Revision as of 07:22, 25 October 2010
Light Pattern Controlled Circuit
Contents |
Abstract
Biological manufacturing of complex compounds often requires the synthesis of many intermediate products. Production of these intermediates is currently triggered by inefficient methods, such as chemical inputs (tetracycline, estrogen-analogs, arabinose, etc) or drastic changes to the cellular environment (pH, oxygen levels, temperature, etc). On an industrial scale, this chemical induction requires large quantities of reagents and extensive purification, while environmental induction requires conditions that can adversely affect cell vitality and yield. To this end, we are engineering an E. coli genetic circuit that can pass through four stable states of protein production triggered solely by ON/OFF patterns of light. With this production method, we can link multiple synthesis steps to a single, clean and rapidly scalable input.
Overview
Our project this year attempts to tackle what we thought to be an emerging issue in synthetic biology. There is a growing trend among iGEM projects towards complex systems; the registry of standard parts is growing quickly and the tools at the disposal of a synthetic biologist are increasing rapidly. While many of these systems rely on an autonomous progression of events in the chasis - say, a cell encounters some environmental stimulus which triggers downstream responses - some require precise user control. This is especially true for projects in the manufacturing area, as often a product is achieved following a progression of steps within the cell.
Workflow/Methods
Modeling
See our modeling page at: blah blah
Results
