Team:Penn/MethylaseCharacterization
From 2013.igem.org
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<div style="margin-left:auto;margin-right:auto;text-align:center"><figure><img border="0" src="https://static.igem.org/mediawiki/2013/7/75/Cas9_Induction2.png" alt="Workflow" width="200px"><figcaption><i>Figure 6: dCas9-M.SssI fusion expressed along with an sgRNA to bind at the target site on MaGellin.</i></figcaption></figure></div> | <div style="margin-left:auto;margin-right:auto;text-align:center"><figure><img border="0" src="https://static.igem.org/mediawiki/2013/7/75/Cas9_Induction2.png" alt="Workflow" width="200px"><figcaption><i>Figure 6: dCas9-M.SssI fusion expressed along with an sgRNA to bind at the target site on MaGellin.</i></figcaption></figure></div> | ||
+ | </br></br> | ||
+ | <h1>Summary</h1> | ||
+ | </br> | ||
+ | MaGellin was developed to optimize the development of robust tools for site-specific methylation. To those ends, we successfully cloned and expressed three fusion methylases, two of which are novel constructs with advantages over the previously published zinc finger. Our constructs have shown methylase activity and DNA binding activity, which we could measure with our new assay. They are ready to be further optimized, using our workflow. | ||
+ | <p>To gain our new insight into a fundamental shortcoming of recently developed genome engineering tools, we used MaGellin to its full extent: swapping out DNA binding domains and binding sites, varying induction conditions, applying COBRA, bisulfite sequencing, and depending on our original algorithm to properly predict methylation-sensitive digestion patterns. Importantly, we could not have reached this result without MaGellin, because the one-plasmid system in a noiseless chassis makes it simple, even unavoidable, to detect off target methylation. Conversely, for the previously published work in mammalian systems, it was not feasible to detect off target effects across a long genome with background signal. Based on our data, future improvements on genome engineering tools should include the construction of two targeted fusions with subunits of effectors that only dimerize and show activity at the binding sites, along the lines of how TALE-Nucleases cleave DNA. That could be the best way to construct epigenetic engineering tools with the specificity necessary for clinical applications. | ||
+ | <p>Moreover, we have demonstrated the importance of studying the distance between the binding site and the target site, and shown the ideal distance will be very different between different DNA binding domains. This boils down to an optimization problem between choosing binding sites and linker lengths; this is exactly the sort of problem that the MaGellin system is designed to solve in a fast and affordable manner. | ||
</div> | </div> |
Revision as of 12:12, 27 October 2013
Methylase Characterization
The software package calculated for us that the largest band we were seeing on the TALE gel was the result of simultaneous target site and off target site methylation while the second largest band was only off target site methylation. We used this information to formulate the Targeting Score to reflect increased site-specificity. We varied induction conditions, expecting one might be more optimal than our previous inductions. As desired, the negative control produced a baseline Targeting Score of almost exactly 1 (1.06). However, no induction condition increased Targeting Score, rather there was a steady decline (Figure 4). This indicated the TALE could be giving negative feedback to the site-specific methylation.
Summary
MaGellin was developed to optimize the development of robust tools for site-specific methylation. To those ends, we successfully cloned and expressed three fusion methylases, two of which are novel constructs with advantages over the previously published zinc finger. Our constructs have shown methylase activity and DNA binding activity, which we could measure with our new assay. They are ready to be further optimized, using our workflow.To gain our new insight into a fundamental shortcoming of recently developed genome engineering tools, we used MaGellin to its full extent: swapping out DNA binding domains and binding sites, varying induction conditions, applying COBRA, bisulfite sequencing, and depending on our original algorithm to properly predict methylation-sensitive digestion patterns. Importantly, we could not have reached this result without MaGellin, because the one-plasmid system in a noiseless chassis makes it simple, even unavoidable, to detect off target methylation. Conversely, for the previously published work in mammalian systems, it was not feasible to detect off target effects across a long genome with background signal. Based on our data, future improvements on genome engineering tools should include the construction of two targeted fusions with subunits of effectors that only dimerize and show activity at the binding sites, along the lines of how TALE-Nucleases cleave DNA. That could be the best way to construct epigenetic engineering tools with the specificity necessary for clinical applications.
Moreover, we have demonstrated the importance of studying the distance between the binding site and the target site, and shown the ideal distance will be very different between different DNA binding domains. This boils down to an optimization problem between choosing binding sites and linker lengths; this is exactly the sort of problem that the MaGellin system is designed to solve in a fast and affordable manner.