Massively parallel determination and modeling of endonuclease substrate specificity
Brunette, T. J.
Szeto, Mindy D.
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CitationThyme, Summer B., Yifan Song, T. J. Brunette, Mindy D. Szeto, Lara Kusak, Philip Bradley, and David Baker. 2014. “Massively parallel determination and modeling of endonuclease substrate specificity.” Nucleic Acids Research 42 (22): 13839-13852. doi:10.1093/nar/gku1096. http://dx.doi.org/10.1093/nar/gku1096.
AbstractWe describe the identification and characterization of novel homing endonucleases using genome database mining to identify putative target sites, followed by high throughput activity screening in a bacterial selection system. We characterized the substrate specificity and kinetics of these endonucleases by monitoring DNA cleavage events with deep sequencing. The endonuclease specificities revealed by these experiments can be partially recapitulated using 3D structure-based computational models. Analysis of these models together with genome sequence data provide insights into how alternative endonuclease specificities were generated during natural evolution.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:13581116
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