Princeton/Template:temp

From 2007.igem.org

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=Overview=
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Breast cancer, according to the [http://www.who.int World Health Organization (WHO)] [http://www.who.int/mediacentre/factsheets/fs297/en/ (ref)], is the leading cause of cancer deaths in women worldwide. As a significant cause of cancer deaths, breast cancer serves as an appropriate cancer to target in a proof of concept implementation of our general design using the established MCF-7 cell line.
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The genetic circuits for systems of varying complexity are given below, including a basic system, an AND gate, an AND OR gate.
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[[Image:Princeton_circuit_basic.png|center|frame|Figure 1. image: Basic circuit based on GATA3 mRNA levels only.]]
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[[Image:Princeton_circuit_AND.png|center|frame|Figure 2. image: AND circuit based on multiple biomarkers.]]
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[[Image:Princeton_circuit_ANDOR.png|center|frame|Figure 3. image: AND OR circuit based on multiple biomarkers.]]
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=Simulation=
=Simulation=

Revision as of 04:59, 25 October 2007


Overview

Breast cancer, according to the [http://www.who.int World Health Organization (WHO)] [http://www.who.int/mediacentre/factsheets/fs297/en/ (ref)], is the leading cause of cancer deaths in women worldwide. As a significant cause of cancer deaths, breast cancer serves as an appropriate cancer to target in a proof of concept implementation of our general design using the established MCF-7 cell line.

The genetic circuits for systems of varying complexity are given below, including a basic system, an AND gate, an AND OR gate.

Figure 1. image: Basic circuit based on GATA3 mRNA levels only.
Figure 2. image: AND circuit based on multiple biomarkers.
Figure 3. image: AND OR circuit based on multiple biomarkers.


Simulation

A version of the [http://opnsrcbio.molsci.org/stochastirator/ Stochastirator], a stochastic simulation program, modified by [http://weisswebserver.ee.princeton.edu/ Weiss lab], driven by [http://www.mathworks.com/ Mathworks] Matlab is used to model the state of our systems.

The corresponding source, brief tutorial for our internal systems, and recent code snapshot is provided as an [http://weisswebserver.ee.princeton.edu/igem/2007/p/stoch.zip archive], for reference.

The figures corresponding to a basic version of our system are given below.

Figure 1. image: State variation with time for a normal cell with the basic version of our system.
Figure 2. image: State variation with time for a cancerous cell with the basic version of our system. Note difference in vertical scaling.