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SeLOX--a locus of recombination site search tool for the detection and directed evolution of site-specific recombination systems.

MPG-Autoren
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Surendranath,  Vineeth
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Chusainow,  Janet
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Buchholz,  Frank
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Habermann,  Bianca
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Zitation

Surendranath, V., Chusainow, J., Hauber, J., Buchholz, F., & Habermann, B. (2010). SeLOX--a locus of recombination site search tool for the detection and directed evolution of site-specific recombination systems. Nucleic Acids Research, 38(Suppl. 2), 293-298.


Zitierlink: https://hdl.handle.net/21.11116/0000-0001-0C15-B
Zusammenfassung
Site-specific recombinases have become a resourceful tool for genome engineering, allowing sophisticated in vivo DNA modifications and rearrangements, including the precise removal of integrated retroviruses from host genomes. In a recent study, a mutant form of Cre recombinase has been used to excise the provirus of a specific HIV-1 strain from the human genome. To achieve provirus excision, the Cre recombinase had to be evolved to recombine an asymmetric locus of recombination (lox)-like sequence present in the long terminal repeat (LTR) regions of a HIV-1 strain. One pre-requisite for this type of work is the identification of degenerate lox-like sites in genomic sequences. Given their nature-two inverted repeats flanking a spacer of variable length-existing search tools like BLAST or RepeatMasker perform poorly. To address this lack of available algorithms, we have developed the web-server SeLOX, which can identify degenerate lox-like sites within genomic sequences. SeLOX calculates a position weight matrix based on lox-like sequences, which is used to search genomic sequences. For computational efficiency, we transform sequences into binary space, which allows us to use a bit-wise AND Boolean operator for comparisons. Next to finding lox-like sites for Cre type recombinases in HIV LTR sequences, we have used SeLOX to identify lox-like sites in HIV LTRs for six yeast recombinases. We finally demonstrate the general usefulness of SeLOX in identifying lox-like sequences in large genomes by searching Cre type recombination sites in the entire human genome. SeLOX is freely available at http://selox.mpi-cbg.de/cgi-bin/selox/index.