Team:Virginia United/Project

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[[Image:RBS Calculator.png|720px|thumb|center]]
Optimization of protein expression is an essential skill in synthetic biology; the ability to tweak protein expression to the levels one desires eases the process of designing precise biological systems. Fluorescent proteins function as appropriate applications in optimization experiments because fluorescence expression levels can easily be measured by a spectrofluorometer or plate reader.
Optimization of protein expression is an essential skill in synthetic biology; the ability to tweak protein expression to the levels one desires eases the process of designing precise biological systems. Fluorescent proteins function as appropriate applications in optimization experiments because fluorescence expression levels can easily be measured by a spectrofluorometer or plate reader.
One method of optimization that has recently been explored is the inherent differences in efficiency of gene-specific ribosome binding sites (Voigt et al., 2009). The majority of the time when designing a construct in iGEM, a ‘default’ RBS is used by including just the basic Shine-Dalgarno sequence found in all prokaryotic ribosome binding sites.  What many do not realize is that when utilizing the Shine-Delgarno conserved sequence in different gene constructs, the efficiency of the expression for that construct depends on the gene.  Utilizing the RBS calculator developed by Voigt et al., one can test the actual optimization rates of the ribosome binding sites by measuring fluorescence output of the final constructs.  This allows more control in the system, instituting more flexibility in the precise design of one’s constructs.
One method of optimization that has recently been explored is the inherent differences in efficiency of gene-specific ribosome binding sites (Voigt et al., 2009). The majority of the time when designing a construct in iGEM, a ‘default’ RBS is used by including just the basic Shine-Dalgarno sequence found in all prokaryotic ribosome binding sites.  What many do not realize is that when utilizing the Shine-Delgarno conserved sequence in different gene constructs, the efficiency of the expression for that construct depends on the gene.  Utilizing the RBS calculator developed by Voigt et al., one can test the actual optimization rates of the ribosome binding sites by measuring fluorescence output of the final constructs.  This allows more control in the system, instituting more flexibility in the precise design of one’s constructs.

Revision as of 02:21, 27 October 2010

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Contents

Quorum Sensing Amplifiers and a Co-design Approach for Information Processing

Abstract

Synthetic biology endeavors to create information processing systems modeled on digital electronics. The use of quorum sensing can help transform an inherently analog molecular signal into a binary response and simultaneously allow the tuning of input response thresholds and signal amplification. This project demonstrates these capabilities through experimentation and modeling. Another candidate for reapplying an electronic engineering technique is the codesign of hardware and software to implement a function. In synthetic biology, codesign might mean implementing a design spec in different expression control regimes and comparing their relative merits. Our work examines the codesign concept by constructing an AND gate in three different design domains. We explore the application of these ideas with an environmental sensor. A unique aspect of our project is the collaborative nature involving five institutions at three locations, which fostered a codesign-like approach using two distinct assembly techniques.



Quorum Sensing

Normally, quorum sensing is a mechanism employed by cells in which signaling proteins are released and passed on to other cells in order to communicate certain information or to encourage other cells in the vicinity to act out certain functions. In our experiment, we wanted to utilize quorum sensing so that when the E. coli cells sensed that there was a input in the environment, it would not only produce some type of fluorescent response, but also initiate the quorum sensing mechanism so that the signal would be amplified and passed on to other cells that would then react and fluoresce as well. In that manner, instead of receiving a gradual response to the stimuli, we would actually receive a quicker, more binary response that would be easier to detect and measure. Thus in our experiment, we wanted to employ quorum sensing as an amplification mechanism that would provide us with binary output, making the system easier to manipulate into a quantitative response system.



Co-Design

Project800px-VA-720.jpg
Fluorescent Complementation

Magliery et. al (2004) developed a method for detecting protein binding partners by fusing non-fluorescent fragments of GFP to the two peptides of interest. If the attached peptides sufficiently attract one another, the GFP fragments will be irreversibly reassemble to form a fluorescing GFP protein. We build on their work by demonstrating how GFP fragment reassembly ("fluorescent complementation") can be used to create AND logic.

Magliery et al. Detecting Protein- Protein Interactions with a Green Fluorescent Protein Fragment Reassembly Trap: Scope and Mechanism. J. Am. Chem. Soc (2005) vol. 127 (1) pp. 146-157

Hybrid Promoters

The advancement of synthetic biology has opened the doors to almost limitless transcriptional control, given the particular biological species cooperates. The aim of the hybrid promoter circuit is to give one fluorescent output based on any two inputs. To do this, logic AND gates are designed using promoters and protein operator sites.

HybridPromoterSystem-720.png

Using literature, current biobricks, and promoters J23106 and J23110 as base promoters, two sets of promoters were designed to respond to tetracycline and lactose, tetracycline and arabinose, and lactose and arabinose. The promoters are predicted to have similar transcription rates as their base promoters. According to literature, a promoter with an activation site that is not activated is not entirely inactive. RNA polymerase can still bind, only the interaction is weaker. Promoters J23106 and J23110 were chose because they are of relatively moderate strength. It is predicted that until arabinose is present in the system, the relative strength of these promoters will be fairly weak. When coupled with weak ribosomal binding sites, the rate at which proteins are translated should be negligible, preventing false positives. Also, following each fluorescent protein, is the respective quorum sensing protein to keep the system active.

HybridAndGate-720.png

Optimization of Fluorescent Proteins
RBS Calculator.png

Optimization of protein expression is an essential skill in synthetic biology; the ability to tweak protein expression to the levels one desires eases the process of designing precise biological systems. Fluorescent proteins function as appropriate applications in optimization experiments because fluorescence expression levels can easily be measured by a spectrofluorometer or plate reader.

One method of optimization that has recently been explored is the inherent differences in efficiency of gene-specific ribosome binding sites (Voigt et al., 2009). The majority of the time when designing a construct in iGEM, a ‘default’ RBS is used by including just the basic Shine-Dalgarno sequence found in all prokaryotic ribosome binding sites. What many do not realize is that when utilizing the Shine-Delgarno conserved sequence in different gene constructs, the efficiency of the expression for that construct depends on the gene. Utilizing the RBS calculator developed by Voigt et al., one can test the actual optimization rates of the ribosome binding sites by measuring fluorescence output of the final constructs. This allows more control in the system, instituting more flexibility in the precise design of one’s constructs.