Difference between revisions of "Team:Shanghaitech/Experiment and Modeling"

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<h2>What we expect from Experiments and Modeling:</h2>
 
<h2>What we expect from Experiments and Modeling:</h2>
<p>For a proof of concept, we had to know some details about MagicBlock.</p>
+
<p>For a proof of concept, we need to know some details about MagicBlock.</p>
<h3><b>Velidation of Quorum Sensing Receivers</b></h3>
+
<h3><a href="https://2017.igem.org/wiki/index.php?title=Team:Shanghaitech/Experiment_and_Modeling#Velidating Fluorescent QS receptors"><b>Velidation of Quorum Sensing Receivers</b></a></h3>
<p>Used as test standards for other parts, The Fluorenscent response of QS receivers had to be examined first.</p>
+
<p>Used as test standards for other parts. The fluorescence response of QS receivers have to be examined first.</p>
<h3><b>Choose Quorum Sensing systems with high orthogonality</b></h3>
+
<h3><a href="https://2017.igem.org/wiki/index.php?title=Team:Shanghaitech/Experiment_and_Modeling#Orthogonality prediction and test"><b>Choose Quorum Sensing systems with high orthogonality</b></a></h3>
<p>Quorum Sensing systems&#39; crosstalk problem in working conditions may led to functional failure for Bioblocks with greater than one QS systems.</p>
+
<p>The crosstalk of different Quorum Sensing systems problem in working conditions may severely interfere with the signal processing function of Bioblocks, especially when with more than one QS systems are used.</p>
<h3><b>Inter-Bioblock communication</b></h3>
+
<h3><a href="https://2017.igem.org/wiki/index.php?title=Team:Shanghaitech/Experiment_and_Modeling#Demostration of Inter-Bioblock communication"><b>Inter-Bioblock communication</b></a></h3>
 
<p>Could bioblocks successfully communicate with each other?<br/></p>
 
<p>Could bioblocks successfully communicate with each other?<br/></p>
<h3><b>Working parameters and kinetic model for MagicBlocks</b></h3>
+
<h3><a href="https://2017.igem.org/wiki/index.php?title=Team:Shanghaitech/Experiment_and_Modeling#Kinetic model of MagicBlock"><b>Working parameters and kinetic model for MagicBlocks</b></a></h3>
<p>How much time is needed for a bioblock to finish its task and when should the system proceed to the next layer? How much supernatant should be transfer to the next MagicBlock? To answer these questions, we had to build up a model and determine parameters of the model from experiment data.</p>
+
<p>How much time is needed for a bioblock to finish its task and when should the system proceed to the next layer? How much signal containing supernatant should be transfer to the next MagicBlock? To answer these questions, we have to build up a model, determine parameters of the model from experiment data and then guide further experiment in return.</p>
  
  
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<h2>Demostration of Inter-Bioblock communication.</h2>
+
<h2>Demostration of Inter-Bioblock communication</h2>
 
<p>To answer this question, we measured AHL production of Generator bioblocks using LC-MS and Fluorescent QS receptor array. Both method confirmed the generation of AHLs, and the quantitive result gives a conclusion that AHL production from a MagicBlock is enough to stimulate another block and actives it&#39;s gene expression under our system&#39;s working condition.</p>
 
<p>To answer this question, we measured AHL production of Generator bioblocks using LC-MS and Fluorescent QS receptor array. Both method confirmed the generation of AHLs, and the quantitive result gives a conclusion that AHL production from a MagicBlock is enough to stimulate another block and actives it&#39;s gene expression under our system&#39;s working condition.</p>
  

Revision as of 02:36, 2 November 2017

Experiment and Modeling

What we expect from Experiments and Modeling:

For a proof of concept, we need to know some details about MagicBlock.

Velidation of Quorum Sensing Receivers

Used as test standards for other parts. The fluorescence response of QS receivers have to be examined first.

Choose Quorum Sensing systems with high orthogonality

The crosstalk of different Quorum Sensing systems problem in working conditions may severely interfere with the signal processing function of Bioblocks, especially when with more than one QS systems are used.

Inter-Bioblock communication

Could bioblocks successfully communicate with each other?

Working parameters and kinetic model for MagicBlocks

How much time is needed for a bioblock to finish its task and when should the system proceed to the next layer? How much signal containing supernatant should be transfer to the next MagicBlock? To answer these questions, we have to build up a model, determine parameters of the model from experiment data and then guide further experiment in return.

Velidating Fluorescent QS receptors

We tested Fluorescent response for LasR-GFP, RhlR-GFP and RpaR-GFP BioBlocks using their cognate AHLs.

Fig. 1 Fluorescent response of LasR-GFP to 3OC12-HSL

Fig. 2 Fluorescent response of RhlR-GFP to 3OC6-HSL

Fig. 3 Fluorescent response of RpaR-GFP to Coumaroyl-HSL

Orthogonality prediction and test

Alone with literature search, We've used Molecular Docking to predict HSLs' affinity to different QS receiver proteins. We've choosed Las system from P. aeruginosa and RpaR system from R. palustris —of which predicted to be relatively orthogonal, to construct Advanced Bioblocks in our system.

Fig. 4 Structure of LasR and RpaR

We've also tested this prediction after plasmid construction:

Fig. 5 Orthogonality test of LasR-pLas-GFP (i):Fluorescent response to cognate and non-cognate AHLs (ii)Dose-Response curves for cognate and non-cognate AHLs (iii-vi)Fluorescent response to non-cognate AHLs in compared with 3OC12-HSL

Fig. 6 Orthogonality test of RpaR-pRpa-GFP (i):Fluorescent response to cognate and non-cognate AHLs (ii)Dose-Response curves for cognate and non-cognate AHLs (iii-vi)Fluorescent response to non-cognate AHLs in compared with Coumaroyl-HSL

Demostration of Inter-Bioblock communication

To answer this question, we measured AHL production of Generator bioblocks using LC-MS and Fluorescent QS receptor array. Both method confirmed the generation of AHLs, and the quantitive result gives a conclusion that AHL production from a MagicBlock is enough to stimulate another block and actives it's gene expression under our system's working condition.

Because LC-MS can only indicate the production of our signal converter approxmately, but this data is too rough to instruct our following work. We get the quantitive relation between input signal concentration and output signal concentration by following experiments and deduction from model which can also indicate an unknown output signal concentration.

For details about this model: Click Here

Kinetic model of MagicBlock

After expression experiments been conducted, our data is enough to describe the kinetics properties of a bioblock. We've modeled the response and re-generation of AHLs in typical intermediate bioblocks and determinated parameters for liquid handling robot we used for MagicBlock assembly.