Team:Oxford/Results

From 2014.igem.org

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<h1blue2>Calculating the pH change</h1blue2>
<h1blue2>Calculating the pH change</h1blue2>
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<font style=“font-weight:600;”>Realisation Results:</font> <br><br>
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We then used our model to predict the effect on the system if you simply increase the amount of water in the aqueous layer.  
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For the containment of our bacteria, we have managed to: <br><br>
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This shows how much water is necessary to prevent the pH from dropping too much. It demonstrates why addition of a buffer is the more reasonable choice to control the pH of the system.
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1. synthesise novel agarose beads that have a polymeric coating which limits DCM diffusion into the beads. This allows optimum degradation by the bioremediation bacteria, while physically containing the bacteria for safety reasons <br>
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2. verify the functioning of the biopolymeric beads by measuring diffusion using indigo dye
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3. use computer-aided modelling to design a prototype of the DCMation system, and physically constructed this container <br>
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4. 3D print a cartridge to hold our biosensor bacteria, which can easily be replaced by the user<br>
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5. construct a prototype circuit that lights up when the photodiodes detect light emission from our biosensing bacteria that are contained in the cartridge. This lets the user have a simple yes/no response to whether the contents of the container are safe for disposal.<br>
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<img src="https://static.igem.org/mediawiki/2014/6/6c/Oxford_DCMdeg18.png" style="float:left;position:relative; width:60%; margin-left:20%; margin-right:20%;margin-bottom:2%;" />
 
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The graph here is for non specific inputs and is for demonstration purposes only. It shows well how the model responds to changing the input values.
 
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<a href="https://2014.igem.org/Team:Oxford/how_much_can_we_degrade#hide4">Buffers?
 
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Revision as of 23:02, 17 October 2014


Results


Wetlab Results:

For the bioremediation aspect of DCMation, we have managed to:

1. purify the pUNI-ABTUNJK and pSB1C3-ABTUNJK plasmids, which encode the microcompartments
2. verify expression of pUNI-ABTUNJK plasmids in E. coli using Western blotting
3. insert the ABTUNJK vector into pSRKGm using Gibson assembly, for expression in P. putida
4. insert the dcmA gene into the pCM66 backbone using Gibson assembly, since pCM66 is suitable for expression in Methylobacterium extorquens DM4
5. insert dcmA into the pRSFDuet, and transformed this into DH5α cells for hypermutagenic PCR on the dcmA gene
6. fuse dcmA and sfGFP using PCR, followed by restriction and ligation to insert the dcmA-sfGFP transcriptional fusion into pRSFDuet. This was then transformed into DH5α cells and imaged using fluorescence microscopy
7. insert microcompartment-tagged dcmA into pRSFDuet
8. insert the microcompartment-tagged sfGFP into pME6010, and used fluorescence microscopy to image this


Realisation Results:

For the containment of our bacteria, we have managed to:

1. synthesise novel agarose beads that have a polymeric coating which limits DCM diffusion into the beads. This allows optimum degradation by the bioremediation bacteria, while physically containing the bacteria for safety reasons
2. verify the functioning of the biopolymeric beads by measuring diffusion using indigo dye 3. use computer-aided modelling to design a prototype of the DCMation system, and physically constructed this container
4. 3D print a cartridge to hold our biosensor bacteria, which can easily be replaced by the user
5. construct a prototype circuit that lights up when the photodiodes detect light emission from our biosensing bacteria that are contained in the cartridge. This lets the user have a simple yes/no response to whether the contents of the container are safe for disposal.


Biosensing
Biosensing
Calculating the pH change

We then used our model to predict the effect on the system if you simply increase the amount of water in the aqueous layer. This shows how much water is necessary to prevent the pH from dropping too much. It demonstrates why addition of a buffer is the more reasonable choice to control the pH of the system.

The graph here is for non specific inputs and is for demonstration purposes only. It shows well how the model responds to changing the input values.

Buffers?
Bioremediation
Bioremediation
Calculating the pH change

We then used our model to predict the effect on the system if you simply increase the amount of water in the aqueous layer. This shows how much water is necessary to prevent the pH from dropping too much. It demonstrates why addition of a buffer is the more reasonable choice to control the pH of the system.

The graph here is for non specific inputs and is for demonstration purposes only. It shows well how the model responds to changing the input values.

Buffers?
Realisation
Realisation
Calculating the pH change Realisation Results:

For the containment of our bacteria, we have managed to:

1. synthesise novel agarose beads that have a polymeric coating which limits DCM diffusion into the beads. This allows optimum degradation by the bioremediation bacteria, while physically containing the bacteria for safety reasons
2. verify the functioning of the biopolymeric beads by measuring diffusion using indigo dye 3. use computer-aided modelling to design a prototype of the DCMation system, and physically constructed this container
4. 3D print a cartridge to hold our biosensor bacteria, which can easily be replaced by the user
5. construct a prototype circuit that lights up when the photodiodes detect light emission from our biosensing bacteria that are contained in the cartridge. This lets the user have a simple yes/no response to whether the contents of the container are safe for disposal.