Team:Freiburg/Project/Experiments
From 2012.igem.org
(6 intermediate revisions not shown) | |||
Line 2: | Line 2: | ||
__NOTOC__ | __NOTOC__ | ||
= ''In vitro'' testing = | = ''In vitro'' testing = | ||
+ | ---- | ||
+ | ---- | ||
<br><br> | <br><br> | ||
== The Toolkit == | == The Toolkit == | ||
Line 43: | Line 45: | ||
<br> | <br> | ||
</html> | </html> | ||
- | + | <br><br> | |
= ''In vivo'' testing = | = ''In vivo'' testing = | ||
+ | ---- | ||
+ | ---- | ||
<br><br> | <br><br> | ||
== Gene activation == | == Gene activation == | ||
Line 78: | Line 82: | ||
<p><br> | <p><br> | ||
TALENs are a very powerful tool for efficient gene knockout. In order to prove that our TALEN construct was functional, we decided to simply knock out a destabilized GFP gene on a plasmid, which we co-transfected with our TALEN plasmids into HEK cells. Moreover, we also transfected our cells with an mCherry vector to normalize for transfection efficiency. TAL constructs were designed to bind to opposite strands of the target plasmid in a way that the FokI monomers of each TALEN construct would be able to dimerize in the spacer region between the TALEN binding sites. 48 hours after transfection, gene knock-out efficiency was evaluated by FACS analysis. | TALENs are a very powerful tool for efficient gene knockout. In order to prove that our TALEN construct was functional, we decided to simply knock out a destabilized GFP gene on a plasmid, which we co-transfected with our TALEN plasmids into HEK cells. Moreover, we also transfected our cells with an mCherry vector to normalize for transfection efficiency. TAL constructs were designed to bind to opposite strands of the target plasmid in a way that the FokI monomers of each TALEN construct would be able to dimerize in the spacer region between the TALEN binding sites. 48 hours after transfection, gene knock-out efficiency was evaluated by FACS analysis. | ||
- | + | <br><br> | |
</html> | </html> | ||
- | |||
- | <br><br><br> | + | [[Image:xx.png|500px|center|link=]] |
+ | |||
+ | <br><br><br><br><br> | ||
== Reference == | == Reference == | ||
1. Sanjana, N. E. et al. A transcription activator-like effector toolbox for genome engineering. Nature Protocols 7, 171–192 (2012).<br> | 1. Sanjana, N. E. et al. A transcription activator-like effector toolbox for genome engineering. Nature Protocols 7, 171–192 (2012).<br> |
Latest revision as of 15:30, 10 November 2012
In vitro testing
The Toolkit
Admittedly, our GATE assembly kit is a little larger than the kit published from the Zhang group in Nature this year1 (the latter comprises 78 parts). But considering that future iGEM teams can easily combine the parts to form more than 67 million different effectors, we believe that it was worth the effort. Now, to get from the toolbox to the finished TAL effector, you only need a few components: six direpeats, one effector backbone plasmid, two enzymes and one buffer. If you mix these components and incubate in your thermocycler for 2.5 hours, you get your custom TAL effector. To put this in perspective: The average turnaround time for TALE construction with conventional kits is about two weeks! In the following sections, we want to show you the efficiency of our GATE assembly platform.
The creation of a toolkit with 96 different parts not only means a lot of labwork but also a lot of organisational tasks, sequencing and analysis. We don't want to bore you with the 96 sequences of our finished BioBricks, but we want to give you one example of a finished BioBrick and highlight some of the interesting and important strips in its sequence. If you are interested in the other sequences, just have a look at our parts section or go to the [http://partsregistry.org Registry of Standard Biological Parts].
In this sequence of our BioBrick AA1, the main features of all our BioBricks are highlighted. As pointed out in the Golden Gate Standard section of our project description, all direpeat plasmids are submitted in the Golden Gate Standard, that was developed by us and which is fully compatible with existing iGEM standards. In yellow, you can see the direpeat gene fragment itself, the green parts are iGEM restriction sites (a requirement for all BioBricks), the sequence written in red is part of the psb1C3 vector, the blue sequences are recognition sites for BsmB1 and the red boxes are the cutting sites of BsmB1.
Varying Cycle number of GATE assembly has limited effect
Golden Gate protocols published so far for multistep TALE assembly differ significantly in the number of digestion-ligation cycles performed. To assess, whether the cycle number significantly affects outcome, we performed 4 different GATE assemblies, each with three different cycle numbers (50, 25 and 13 cycles). We did not see significant differences in the number of colonies for the three cycle numbers. Consequently, from that point on, we performed GATE assembly with only 13 cycles (which only take approximately 2.5 hours instead of 8.5 hours for 50 cycles).
Direpeat Amplification by Colony PCR
In vivo testing
Gene activation
We are also able to measure one culture multiple times, e.g. at two different points in time. Another advantage is the measurement via photometry which makes the samples quantitively comparable. Interestingly, we did not have to clone a TALE binding site upstream of the minimal promoter (which would be required for other DNA binding proteins) but simply produced a TALE that specifically bound to the given sequence.
The experiment was done with four different transfections, either no plasmid, only the TAL vector, only the SEAP plasmid or a cotransfection of both plasmids. The cells were seeded on a twelve well plate the day before in 500µl culture media per well. The transfection was done with CaCl2 after a cell culture course protocol written by the lab of Professor Weber.
As it is observable in the graph, co-transfection of cells with TAL and SEAP plasmids(++) yielded a high increase in SEAP activity, compared to the control samples. Also the control experiment with a TAL-VP64 targeting a random sequence shows the specificity of our system. The graph shows the average value of three biological replicates with its standard deviation. We further performed a t-test (Table) to prove if our experiment is statistically significant. As it is clearly observable, the p-values range below a value of 0,05, which indicates that our TAL transcription factor is able to elevate the transcription of the SEAP gene in a statistically significant manner.
After addition of pNPP, the substrate of SEAP, the activity of SEAP was measured over time. In the next image, the results of the first nine minutes of this measurement are shown. After this time, the OD of the double transfection (++) rose too high to be measured by our photometer. As it is clearly visible, the sample with the double transfection shows a profound increase in the OD. This points to the fact that great amounts of SEAP have been secreted into the cell culture media due to elevated gene expression. In the other samples almost no SEAP activity was measureable. The sample transfected with only the SEAP plasmid showed the highest OD but this effect was not statistically significant (p-value:0,25/0,51).
In the samples that had been taken 48h after double transfection, the same effects could be demonstrated.
Furthermore, we reapeated the same experiment for a second time. The corresponding data can be viewed here:
Precise Gene Knockout
TALENs are a very powerful tool for efficient gene knockout. In order to prove that our TALEN construct was functional, we decided to simply knock out a destabilized GFP gene on a plasmid, which we co-transfected with our TALEN plasmids into HEK cells. Moreover, we also transfected our cells with an mCherry vector to normalize for transfection efficiency. TAL constructs were designed to bind to opposite strands of the target plasmid in a way that the FokI monomers of each TALEN construct would be able to dimerize in the spacer region between the TALEN binding sites. 48 hours after transfection, gene knock-out efficiency was evaluated by FACS analysis.
Reference
1. Sanjana, N. E. et al. A transcription activator-like effector toolbox for genome engineering. Nature Protocols 7, 171–192 (2012).
2. Briggs, A. W. et al. Iterative capped assembly: rapid and scalable synthesis of repeat-module DNA such as TAL effectors from individual monomers. Nucl Acids Res (2012).doi:10.1093/nar/gks624