Team:UANL Mty-Mexico/Results
From 2013.igem.org
At a glance
![](https://static.igem.org/mediawiki/2013/8/85/UANL_RNATsecondarystructures.png)
Figure 1. Predicted secondary structures of synthetic RNATs used in this project, as calculated by Mfold. The orange rectangles highlight nucleotides belonging to the SD sequence. a) 37ºC responsive RNAT b)32ºC responsive RNAT.
Figure 1 shows the predicted secondary structures of the two synthetic RNATs implemented in our project (designed by Neupert et al. and iGEM TuDelft 2008, respectively). So far, we detected fluorescence only with the 37ºC responsive RNAT, which controls mCherry's translation.
Figure 2 shows the visual appearance of cultures grown at 37ºC containing part BBa_K1140006 (37ºC RNAT_mCherry construction) (figure 2a), a non-fluorescent control (figure 2b), and a standard constitutively expressing RFP (figure 2c).
![](https://static.igem.org/mediawiki/2013/4/40/UANL_37RNATcultures.jpg)
Figure 2. Temperature dependence of mCherry translation by 37ºC RNA thermometer in E. coli at 37ºC. a)37ºC RNAT mCherry b)Non-fluorescent control c)Standard constitutively expressing RFP.
![](https://static.igem.org/mediawiki/2013/a/a5/UANL_37RNATaverage.png)
Figure 3. Average relative fluorescence values of cultures carrying our construction (37ºC RNAT mCherry) incubated at 31 and 37ºC.
The synthetic RNAT proved to regulate expression in response to temperature changes. Fluorescence of cultures carrying our construction increases almost 4x from 31 to 37ºC (figure 3).
Surprisingly, we obtained different behaviors in clones transformed with the same DNA (figure 4). We identified variations in plasmid copy number as the potential cause of phenotypic discrepancies among clones.
![](https://static.igem.org/mediawiki/2013/1/1e/UANL13_37RNATchartClones.png)
Figure 3. Behavior of different clones transformed with this construction (M1, 2, 11 and 12). Relative fluorescence at 25, 30, 37 and 42 ºC. All measurements were performed at least in triplicate, the aritmethic mean is shown.
![](https://static.igem.org/mediawiki/2013/a/a9/GaussAllUANL13.png)
Figure 4. Gaussian Function fitting of the experimental data shown in figure 3.
Mathematically, we found that a simple gaussian function fits our data well, and it provides us a way to quantify the strength (amplitude), optimal value (horizontal shift), and definition or clearness (width) of our RNAT activity (figure 4). We believe positive slope is due to RNAT melting, while negative slope is due to increase in the overall protein degradation rate due to higher temperatures. This function also allows for comparisons between different RNAT, as well as being potentially predictive for non verified temperatures.