Team:IIT Bombay India/Project

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''Tell us more about your project.  Give us background.  Use this is the abstract of your project.  Be descriptive but concise (1-2 paragraphs)''
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Revision as of 17:56, 8 September 2009

You can write a background of your team here. Give us a background of your team, the members, etc. Or tell us more about something of your choosing.
IITB Logo.png

Tell us more about your project. Give us background. Use this is the abstract of your project. Be descriptive but concise (1-2 paragraphs)

IITB Project.jpeg
Team Example 2


Home The Team The Project Parts Submitted to the Registry Modeling Notebook

(Or you can choose different headings. But you must have a team page, a project page, and a notebook page.)


Overall project

Abstract:

One of the major objectives of synthetic biology is to unveil the inherent design principles prevailing in biological circuits. Multiple feedback loops (having both positive and negative regulation) are highly prevalent in the biological systems like MAPK signaling, cell cycle control, Insulin signaling pathway. However, such multiple feedback systems are uncommon in engineered systems. The relevance of such a design in biological systems is unclear. Our team will use synthetic biology approaches to answer these questions. Our team comprises of 9 undergraduates, 3 graduate students as student mentor and two faculty mentors, one each from biology and engineering background.

The project specifically deals with the analysis of effect of single and multiple feedback loops on gene expression. This project will involve theoretical and experimental studies. Our model organism is E.coli. We have designed synthetic constructs to mimic multiple feedbacks. The focus of our experimental work will be to visualize the effect of multiple feedback loops on the synthetic construct using single cell analysis. The experimental work will provide us with parameters for the theoretical study including dynamic and stochastic analysis. The project will provide insights into the roles of multiple feedback loops in biological systems.

Project Details

Results