Predicting preferential DNA vector insertion sites: implications for functional genomics and gene therapy

被引:45
作者
Hackett, Christopher S. [1 ,2 ]
Geurts, Aron M. [3 ]
Hackett, Perry B. [4 ,5 ]
机构
[1] Univ Calif San Francisco, Biomed Sci Grad Program, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Neurol, San Francisco, CA 94143 USA
[3] Med Coll Wisconsin, Human & Mol Genet Ctr, Milwaukee, WI 53226 USA
[4] Univ Minnesota, Dept Genet Cell Biol & Dev, Arnold & Mabel Beckman Ctr Transposon Res, Gene Therapy Program, Minneapolis, MN 55455 USA
[5] Univ Minnesota, Ctr Canc, Minneapolis, MN 55455 USA
关键词
D O I
10.1186/gb-2007-8-S1-S12
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Viral and transposon vectors have been employed in gene therapy as well as functional genomics studies. However, the goals of gene therapy and functional genomics are entirely different; gene therapists hope to avoid altering endogenous gene expression (especially the activation of oncogenes), whereas geneticists do want to alter expression of chromosomal genes. The odds of either outcome depend on a vector's preference to integrate into genes or control regions, and these preferences vary between vectors. Here we discuss the relative strengths of DNA vectors over viral vectors, and review methods to overcome barriers to delivery inherent to DNA vectors. We also review the tendencies of several classes of retroviral and transposon vectors to target DNA sequences, genes, and genetic elements with respect to the balance between insertion preferences and oncogenic selection. Theoretically, knowing the variables that affect integration for various vectors will allow researchers to choose the vector with the most utility for their specific purposes. The three principle benefits from elucidating factors that affect preferences in integration are as follows: in gene therapy, it allows assessment of the overall risks for activating an oncogene or inactivating a tumor suppressor gene that could lead to severe adverse effects years after treatment; in genomic studies, it allows one to discern random from selected integration events; and in gene therapy as well as functional genomics, it facilitates design of vectors that are better targeted to specific sequences, which would be a significant advance in the art of transgenesis.
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