"
Team:IIT Bombay India/Project
From 2009.igem.org
(Difference between revisions)
Pranayiitb (Talk | contribs) |
Pranayiitb (Talk | contribs) |
||
| Line 1: | Line 1: | ||
| + | {| style="color:#1b2c8a;background-color:#0c6;" cellpadding="3" cellspacing="1" border="1" bordercolor="#fff" width="62%" align="center" | ||
| + | !align="center"|[[Team:IIT_Bombay_India|Home]] | ||
| + | !align="center"|[[Team:IIT_Bombay_India/Team|The Team]] | ||
| + | !align="center"|[[Team:IIT_Bombay_India/Project|The Project]] | ||
| + | !align="center"|[[Team:IIT_Bombay_India/Parts|Parts Submitted to the Registry]] | ||
| + | !align="center"|[[Team:IIT_Bombay_India/Modeling|Modeling]] | ||
| + | !align="center"|[[Team:IIT_Bombay_India/Notebook|Notebook]] | ||
| + | |} | ||
{|align="justify" | {|align="justify" | ||
| - | | | + | |Biological systems are known to have a great degree of regulation in their activity, and this higher level of control is attributed to the multiple levels of feedback that exist within any biochemical pathway. As a means of gaining deeper insight within the utility of multiple feedback loops, we have constructed 4 strains containing plasmids with modified lac operon. The lacI produced as a result of the expression can inhibit its own expression, causing one level of feedback, while it can also suppress the replication of plasmid, providing another level of control on the number of processes itself. By combination of these 2 controls, four different strains are possible. We wish to demonstrate the better control in the strain with multiple feedbacks as compared to the strain with no control by characterizing the inherent or stochastic error present in the system through simulations. Further, IPTG can bind to the lacI present in the system which would act as a repressor. Thus IPTG can act as an inducer for the system. The effects of varying concentrations of IPTG are also studied, the understanding being that a system with high IPTG concentration resembles that of an open loop system. |
|[[Image:Example_logo.png|200px|right|frame]] | |[[Image:Example_logo.png|200px|right|frame]] | ||
|- | |- | ||
| Line 14: | Line 22: | ||
<!--- The Mission, Experiments ---> | <!--- The Mission, Experiments ---> | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
Revision as of 09:07, 21 October 2009
| Home | The Team | The Project | Parts Submitted to the Registry | Modeling | Notebook |
|---|
| Biological systems are known to have a great degree of regulation in their activity, and this higher level of control is attributed to the multiple levels of feedback that exist within any biochemical pathway. As a means of gaining deeper insight within the utility of multiple feedback loops, we have constructed 4 strains containing plasmids with modified lac operon. The lacI produced as a result of the expression can inhibit its own expression, causing one level of feedback, while it can also suppress the replication of plasmid, providing another level of control on the number of processes itself. By combination of these 2 controls, four different strains are possible. We wish to demonstrate the better control in the strain with multiple feedbacks as compared to the strain with no control by characterizing the inherent or stochastic error present in the system through simulations. Further, IPTG can bind to the lacI present in the system which would act as a repressor. Thus IPTG can act as an inducer for the system. The effects of varying concentrations of IPTG are also studied, the understanding being that a system with high IPTG concentration resembles that of an open loop system. |  |
|
Tell us more about your project. Give us background. Use this is the abstract of your project. Be descriptive but concise (1-2 paragraphs) |  Your team picture |
| Team Example |
Note
If you choose to include a Parts Submitted to the Registry page, please list your parts here. This is not necessary but it may be a nice list to keep track of.
