Team:LCG-UNAM-Mexico/Experiments/Results

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     <td height="51" colspan="3" id="tagline" valign="top" align="center">iGEM 2008 TEAM</td>
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           <td class="pageName"><div align="center">Results</div>            </td>
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      <a href="#Devices">
 
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      <p align="justify" class="calHeader">Devices</p>
 
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        <p><span class="calHeader style1"><a href="#Sensing" class="calHeader">Measurements</a></span><a href="#Sensing"><br>
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          <p align="justify"><span class="calHeader"><a name="Devices"></a>Devices</span></p>
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      <p align="justify"><span class="calHeader"><a name="Sensing"></a>Sensing dispositive</span><br>
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          <p><span class="calHeader"><a name="Devices"></a>Devices</span></p>
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          <p>Once the electronic  device was built, We investigated the range where it was able to measure nickel  concentrations on LB medium. We found that the device has maximum efficiency in  the range (1e-7,4e-4).</p>
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           <p>&nbsp;</p>
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          <p align="justify"><a href="https://static.igem.org/mediawiki/2008/b/bf/Ni_Res_loglogLR.jpg"><img src="https://static.igem.org/mediawiki/2008/b/bf/Ni_Res_loglogLR.jpg" width="595" height="350"></a></p>
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           <p>&nbsp;</p>
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          <p align="justify">The graph shows that increasing the nickel level decreases resistivity which is in accordance with the ionic nature of nickel. Points represent the mean of three independent replicates and the line represents the linear regression model:</p>
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           <p>&nbsp;</p>
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          <p align="justify"><img align="left" src="https://static.igem.org/mediawiki/2008/a/a7/LR_Ni_re.png" width="230" height="30"><br><br></p>
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           <p><span class="calHeader"><a name="Sensing"></a>Measurements</span><br>
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           <p align="justify">Where Ω is the resistivity measured in ohms and [Ni] is the nickel concentration.This shows that even in a complex medium (LB) we are able to detect changes in nickel concentration in a wide range that spans several order of magnitude.</p>
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           <p align="justify">Then we investigated the time dynamics of resistivity in the presence of cells in the previously defined range of nickel concentrations. For this purpose we used cells lacking the <em>rcnA</em> gene, to reduce the effect of cells on our measurements. We have to take into account that even these cells add a variable to our measurements because they continuously import nickel to their cytoplasm.</p>
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           <p>&nbsp;</p>
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           <p align="justify">All our measurements lasted three minutes and we have one data point each 10ms, which means that we have 18000 data points for each experiment. The plot below shows means of each time point for two or three replicates at the indicated nickel concentration. The blue line represents experiments where nickel was not added.</p>
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           <p align="justify"><a href="https://static.igem.org/mediawiki/2008/a/a9/NoNickelVSNickel.jpg"><img src="https://static.igem.org/mediawiki/2008/a/a9/NoNickelVSNickel.jpg" width="595" height="350"></a></p>
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          <p align="justify">The rapid increase that we observe in all the lines was observed in all our experiments independently of the conditions. We think that it represents a phase in which our electronic device adapts to the conditions; however, it is clear from the plot that the presence of cells does not disturb the change in resistivity that we observe</p>
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           <p align="justify">We tried to estimate the rate at which nickel enters the cell by calculating the derivative of the previous curves on each point. The logic is that by substracting the derivatives of the blue curve to the other ones we would get the change in resistivity that is caused by nickel importing to the cytoplasm, i.e. the rate (flux) at which nickel enters the cells. However, we couldn’t find any significant relation despite reducing the interval to that with the most consistent replicates.</p>
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           <p align="justify">In overall, we’ve shown that resistivity allow us to distinguish a wide range of nickel concentrations in a complex medium (LB and cells). More work is needed to standardize the protocols and to investigate the effect of other variables such as temperature. the fact that such good results were achieved with a home-made non-specific electronic device suggests that performance can be greatly enhanced by using specific electrodes.</p>
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<a href="https://2008.igem.org/Team:LCG-UNAM-Mexico/Experiments/Results"><p align="center"><img src="https://static.igem.org/mediawiki/2008/a/ad/Boton_exp4.jpg" border="0" width="190" height="31" /></p>
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Revision as of 16:53, 29 October 2008

LCG-UNAM-Mexico:Experiments

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iGEM 2008 TEAM
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Experiments

Devices

Sensing dispositive

Once the electronic device was built, We investigated the range where it was able to measure nickel concentrations on LB medium. We found that the device has maximum efficiency in the range (1e-7,4e-4).

The graph shows that increasing the nickel level decreases resistivity which is in accordance with the ionic nature of nickel. Points represent the mean of three independent replicates and the line represents the linear regression model:



Where Ω is the resistivity measured in ohms and [Ni] is the nickel concentration.This shows that even in a complex medium (LB) we are able to detect changes in nickel concentration in a wide range that spans several order of magnitude.

Then we investigated the time dynamics of resistivity in the presence of cells in the previously defined range of nickel concentrations. For this purpose we used cells lacking the rcnA gene, to reduce the effect of cells on our measurements. We have to take into account that even these cells add a variable to our measurements because they continuously import nickel to their cytoplasm.

All our measurements lasted three minutes and we have one data point each 10ms, which means that we have 18000 data points for each experiment. The plot below shows means of each time point for two or three replicates at the indicated nickel concentration. The blue line represents experiments where nickel was not added.

The rapid increase that we observe in all the lines was observed in all our experiments independently of the conditions. We think that it represents a phase in which our electronic device adapts to the conditions; however, it is clear from the plot that the presence of cells does not disturb the change in resistivity that we observe

We tried to estimate the rate at which nickel enters the cell by calculating the derivative of the previous curves on each point. The logic is that by substracting the derivatives of the blue curve to the other ones we would get the change in resistivity that is caused by nickel importing to the cytoplasm, i.e. the rate (flux) at which nickel enters the cells. However, we couldn’t find any significant relation despite reducing the interval to that with the most consistent replicates.

In overall, we’ve shown that resistivity allow us to distinguish a wide range of nickel concentrations in a complex medium (LB and cells). More work is needed to standardize the protocols and to investigate the effect of other variables such as temperature. the fact that such good results were achieved with a home-made non-specific electronic device suggests that performance can be greatly enhanced by using specific electrodes.




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