Design
Construction of Biobricks
When we constructed our biobricks we used sequences from iGEM´s registry, our supervisors and Benchling’s search function, that accesses several databases. When all the sequences had been gathered, we put them together with Benchling. After the final touch was made, the biobricks were sent to IDT who transformed our constructed sequences into DNA.
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To verify a successfully assembled biobrick we used several different methods both for DNA analysis and protein analysis.
Gel
Gel electrophoresis with a 1.3% agarose gel was used to control the size of the attempted assemblies of the fusion proteins and chaperone systems. This gave a hint on whether the assembly products were correctly assembled and if all parts in the assembly reaction had ligated or not. Because we already knew the size of our designed constructs we could easily see when the assembled products had the right number of nucleotides. If not all the parts in the assembly had ligated this would be shown as lighter bands on the gel.
Sequencing
To verify our assemblies, one of our PIs helped us send our DNA to GATC Biotech in Germany to get a full sequencing.
Fluorescence
There are several different kinds of molecules called fluorophores that are prone to fluoresce, which is the outcome of a three-step process. The first step involves that the fluorophore absorb energy in the form of photons from a lightsource. Under the second step the fluorophore changes its’ conformation and some energy goes to molecules in its surroundings. During this time the fluorophores will lose some of the excitation energy. In the last step a photon is released from the fluorophore and it goes back to its ground state. Due to the energy lost in the second step the photon will have a lower energy and a bigger wavelength. Therefore a different color than the absorption light will be detected (6).
In our project we decided to use fluorescence as one method of detection of our fusion proteins as it could have given us the ability to quickly and easily determine the protein concentration. In future science this could be used to analyse Amyloid Beta proteins where some have the fluorescent tag and some does not. In this way scientists will get new insights of how Amyloid Beta aggregates.
Protein analysis
We analyzed the fusion protein mNeongreen-Amyloid-Beta with a plate reader. mNeonGreen have its excitation peak at 506 nm and its emission peak at 517 nm (3). The plate reader enables quantification of the fusion protein if one has a standard with measurements of solutions with known concentrations. We did not lyse the cells before the plate reading as we wanted to simultaneously measure the optical density (OD) of each well. The OD measurement would’ve made the amount of protein relative to the amount of bacteria in each well.
To further analyze our protein we have used a variant of western blot called a dot-blot. Western blot is a method where the proteins are denatured with SDS (Sodium dodecyl sulfate ) and run through a polyacrylamide gel electrophoresis. The proteins are then transferred to a membrane and primary and secondary antibodies are applied. We used a primary antibody called 6E10 from mouse that is specific to amyloid beta. We used a secondary antibody from rabbit that binds to the primary mouse antibody. The secondary antibody is conjugated with alkaline phosphatase and addition of CDP-star chemiluminescent substrate allows detection by chemiluminescent signals [8, 9].
Positive/negative controls
Positive and negative controls were used in the methods to ensure reliable results and to simplify troubleshooting in case of unsuccessful results. This was especially important when we ran a gel, made a culture of bacteria that had gone through a heat shock or electroporation and when taking values on the micro plate reader.
Overview of project layout
Induction in different temperatures
We wanted to find out which temperature would give rise to the most optimal expression of our fusion proteins with the different chaperone combinations. The plan was to try different temperatures and then use the data to fit our mathematical model so that it could predict the optimal expression temperature.
Induction with different concentrations of inducing agent
Finding the right amount of inducing agents for each promoter we believed to be an important factor to investigate for finding the optimal protein expression. By testing bacteria with different concentrations of the inducing agents an approximative optimal concentration could be attained.
Induction with varied time
The third parameter of induction we wanted to study was time. We wanted to see which time would give rise to the most optimal expression for our proteins and thereby the most fluorescence. The plan was to increase the amount of induction time in relation to lower temperatures because of the lower growth rate.
Finding the best combination of chaperones
Our plan for the chaperone plasmid was, as already mentioned, to find the best combination of the chaperones in the best possible environment for maximum fluorescence. If this had succeeded, our plan was to amplify just that part of the superduper plasmid in a PCR and then create a new biobrick of that sequence.
The model
The purpose of our model was to enable faster information about what temperature, amount of inducing agent and time that would be the best for protein expression by doing experiments that could calibrate the model which in turn could inform us of promising new untested conditions. This model could also prevent us from focusing too much on local optimums and ensure our progress towards the global optimum.
Host organism
In this project we used 3 different kinds of E.coli strains BL21(DE3), XL1-Blue and NEB-5alfa cells. The reason is that each strain is optimized for different uses. NEB-5alfa cells were used for heat shock transformation after HiFi -assembly since they are more competent than any other cells we used. XL1-Blue was used for amplification of DNA in preparation of cloning. BL21(DE3) was used for protein expression since thay lac the proteases lon and ompT (7).
Sources
1. Findeis MA. The role of amyloid β peptide 42 in Alzheimer’s disease. Vol. 116, Pharmacology and Therapeutics. 2007. p. 266–86.
2. Fitzpatrick AWP, Falcon B, He S, Murzin AG, Murshudov G, Garringer HJ, et al. Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature [Internet]. 2017;547(7662):185–90. Available from: http://www.nature.com/doifinder/10.1038/nature23002
3. Shaner NC, Lambert GG, Chammas A, Ni Y, Cranfill PJ, Baird MA, et al. A bright monomeric green fluorescent protein derived from Branchiostoma lanceolatum. Nat Methods [Internet]. 2013;10(5):407–9. Available from: http://www.nature.com/doifinder/10.1038/nmeth.2413
4. Bornhorst BJA, Falke JJ. Reprint of: Purification of Proteins Using Polyhistidine Affinity Tags. Protein Expression and Purification.
5. Chen X, Zaro JL, Shen WC. Fusion protein linkers: Property, design and functionality. Vol. 65, Advanced Drug Delivery Reviews. 2013. p. 1357–69.
6. ThermoFisher Scientific. Fluorescnece Fundamentals [Internet]. ThermoFischer Scientific [Cited 1 Nov 2017] Available from: https://www.thermofisher.com/se/en/home/references/molecular-probes-the-handbook/introduction-to-fluorescence-techniques.html
7. Jeong H, Kim HJ, Lee SJ. Complete Genome Sequence of Escherichia coli Strain BL21. Genome Announc [Internet]. 2015;3(2):e00134-15. Available from: http://genomea.asm.org/lookup/doi/10.1128/genomeA.00134-15
8. BioLegend. Anti-beta-amyloid, 1-16 antibody. [Internet]. Available from: https://www.biolegend.com/en-us/products/anti-beta-amyloid--1-16-antibody-10998
9. BioRad Immun-Star AP Chemiluminescent Protein Detection Systems [Internet]. Bio Rad Laboratories, Inc [Cited 1 Nov 2017] Available from: http://www.bio-rad.com/webroot/web/pdf/lsr/literature/4006074.pdf