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− | <p> When the fluorescence data received from the wet lab | + | <p> A problem the team faced was identify the level of fluorescence at any given time as it is expected that the proteins would be expressed. This can be confirmed by looking at the bacteria after being constructed and observing that they are giving off light. </p> |
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+ | <p> To solve this issue, the team required an equation which could estimate the intensity of fluorescence at any certain time. This consisted of calculating the protein concentration in a time period mapping that intensity to the protein concentration at that time provided by real world data. </p> | ||
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+ | <p> When the fluorescence data was received from the wet lab, a model was constructed from the data gained. Originally, the data from the lab was the Fluorescence against Time but by using the Gene Transcription Regulation by Repressors model developed earlier <sup> 1 </sup>, the team was able to estimate the protein concentration at that time. </p> | ||
<sup> Figure 7 </sup> | <sup> Figure 7 </sup> | ||
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<p style="text-align: center;" > <img src="https://static.igem.org/mediawiki/2017/1/19/T--UNOTT--ProteinConcVsFluorescence.png" class="border" height="600" width="1000" style= position: fixed; align=center; > </p> | <p style="text-align: center;" > <img src="https://static.igem.org/mediawiki/2017/1/19/T--UNOTT--ProteinConcVsFluorescence.png" class="border" height="600" width="1000" style= position: fixed; align=center; > </p> | ||
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− | + | <p> These graphs show the relationship between protein concentration and fluorescence intensity; as the concentration increases, the intensity increases greatly. The only exception to this is CFP however, it was revealed that there was an error in reading CFP identifeid by the wet lab. Due to time constraints, rather than implementing the relationship directly from lab data, the data was fitted using a Polynomial Fit of Order 3 using Excel and an equation was calculated from these. These equations were directly plugged into the simulation. However, this is inaccurate as the R squared value was ... , suggesting that it doesn't fully capture the data trend. </p> | |
<p> These relationships were implemented into the simulation to give the expected spectra produced by each protein. This highlights another use: by adding or subtracting values from our fit, we can create a threshold for our Keys. This was essential when developing the Raw Data Simulator. <sup> 2 </sup></p> | <p> These relationships were implemented into the simulation to give the expected spectra produced by each protein. This highlights another use: by adding or subtracting values from our fit, we can create a threshold for our Keys. This was essential when developing the Raw Data Simulator. <sup> 2 </sup></p> |
Revision as of 00:22, 1 November 2017
MODELING