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    Application of oligonucleotides to construct a conditional targeting vector for porcine IKBa

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    Identificadores
    URI: http://hdl.handle.net/10902/15438
    DOI: 10.3892/mmr.2017.7917
    ISSN: 1791-2997
    ISSN: 1791-3004
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    Autoría
    Li, Hegang; Song, Xiaona; Yang, Feng; Bao, Hanxun; Lu, Xiaolong; Pérez Campo, Flor MaríaAutoridad Unican; Zhao, Jinshan
    Fecha
    2018-01
    Derechos
    © Spandidos Publications
    Publicado en
    Mol Med Rep. 2018 Jan;17(1):653-659
    Editorial
    Spandidos Publications
    Enlace a la publicación
    https://dx.doi.org/10.3892/mmr.2017.7917
    Palabras clave
    Targeting Vector Construction
    Oligonucleotides
    Xenotransplantation
    Porcine IκBα
    Resumen/Abstract
    Conditional gene targeting at porcine I?B? may be a solution to delayed xenograft rejection, the main barrier to xenotransplantation. An oligonucleotide?based method was applied to construct the vector for conditional targeting of porcine I?B?. This method was free from PCR amplification during the assembling of the different vector elements, avoiding introduction of unwanted mutations. With the help of short double?stranded DNA fragments produced by annealing oligonucleotides, nondirectional cloning has also been avoided. By making the best of directional cloning, a highly complex targeting vector was built within 3 weeks. The present study also explained why the two recombination?based methods (recombineering and gateway recombination), although having demonstrated to be highly efficient in constructing ordinary targeting vectors, were not appropriate in this context. The description in the present study of an additional method to efficiently construct targeting vectors is suggested to introduce more flexibility in the field therefore helping to meet the different needs of the researchers.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contacto | Sugerencias
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 4.0 España