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Engineering domain fusion chimeras from I-OnuI family LAGLIDADG homing endonucleases
Authors:Baxter Sarah  Lambert Abigail R  Kuhar Ryan  Jarjour Jordan  Kulshina Nadia  Parmeggiani Fabio  Danaher Patrick  Gano Jacob  Baker David  Stoddard Barry L  Scharenberg Andrew M
Affiliation:Department of Immunology, Medical Scientist Training Program, University of Washington, Seattle, WA, 98195, Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA, 98101, Pregenen Inc., Seattle, WA, 98103, Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, Department of Biochemistry and Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA.
Abstract:
Although engineered LAGLIDADG homing endonucleases (LHEs) are finding increasing applications in biotechnology, their generation remains a challenging, industrial-scale process. As new single-chain LAGLIDADG nuclease scaffolds are identified, however, an alternative paradigm is emerging: identification of an LHE scaffold whose native cleavage site is a close match to a desired target sequence, followed by small-scale engineering to modestly refine recognition specificity. The application of this paradigm could be accelerated if methods were available for fusing N- and C-terminal domains from newly identified LHEs into chimeric enzymes with hybrid cleavage sites. Here we have analyzed the structural requirements for fusion of domains extracted from six single-chain I-OnuI family LHEs, spanning 40-70% amino acid identity. Our analyses demonstrate that both the LAGLIDADG helical interface residues and the linker peptide composition have important effects on the stability and activity of chimeric enzymes. Using a simple domain fusion method in which linker peptide residues predicted to contact their respective domains are retained, and in which limited variation is introduced into the LAGLIDADG helix and nearby interface residues, catalytically active enzymes were recoverable for ~70% of domain chimeras. This method will be useful for creating large numbers of chimeric LHEs for genome engineering applications.
Keywords:
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