Team:Imperial College/Proof Of Concept

Software validation

Aim

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As we have explained in other parts of our Wiki the key thrust of our iGEM project was the development of our software – SOAP-Lab. The purpose of this software is to increase the accessibility of automation to wet lab scientists for both the Design and Build stages of D-B-T-L synthetic biology projects by generating Opentrons scripts for one of three different DNA assembly standards. Therefore, a key aim of our wet lab work was to demonstrate that SOAP-Lab works as intended and to demonstrate its utility. Through our wetlab experiments we aimed to achieve PROOF OF CONCEPT by assembling GFP and RFP in E.coli, using BioBricks, BASIC and MoClo. Our goal was to generate single and multiple gene fluorescent assemblies.

Design

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1.

As previously mentioned a key goal of our wet lab work was to validate that SOAP-Lab works as intended. This involves demonstrating that the Design stage of SOAP-Lab allows for rapid design in a specific standard while allowing users to make use of the key attributes of that standard. Therefore, we first designed the plasmid constructs we wanted to build for each method using SOAPlab (click to learn more):

2.

Then, we carried out dry runs of the assemblies to make sure the OT-2 robots were functioning as expected.

The image depicts a dry run (without any liquid). NOTE: We had to set up the lab at OpenCell from scratch. At this point in time the laboratory did not contain any reagents.

3.

We then performed the assemblies of the previously designed constructs for each assembly method, both manually and using the OT-2 robots.


Learn more about each assembly!

4.

Finally, we plated, inoculated and mini-prepped the assembly products and evaluated their fluorescence under ultraviolet light for GFP and blue light for RFP.

CHECK OUT OUR RESULTS TO FIND OUT MORE!


Experimental design summary

Figure showing the experimental design summary. Plasmids were designed according to the assembly method requirements. All will constitutive promoters, a ribosomal binding site (RBS), green fluorescence protein (GFP) and/or red fluorescence protein (RFP) coding sequences and terminators. These are then assembled and their fluorescence analysed.

Conclusion

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We have successfully validated our pipeline on a simple and standard BASIC construct. We created our design, sourced our parts, and generated a script to run on the Opentrons to assemble our construct of choice. This proves that our software is able to generate the correct liquid handler programs just from the designs without any coding necessary. We were also able to exchange labware as needed if one of our modules was not performing well thanks to the modularity of our hardware specification. Our small-scale proof of concept evidences the utility of our pipeline for more ambitious builds with lots of combinatorial variations, such as with our Tryptophan optimisation, as well as showcasing the ability of automation to match the accuracy of a manual assembly protocol. As our pipeline is design-based, scaling to more ambitious projects is simply a matter of specifying a more detailed SBOL file.