Literature DB >> 15451451

Efficient transduction of skeletal muscle using vectors based on adeno-associated virus serotype 6.

Michael J Blankinship1, Paul Gregorevic, James M Allen, Scott Q Harper, Hollie Harper, Christine L Halbert, A Dusty Miller, Dusty A Miller, Jeffrey S Chamberlain.   

Abstract

Vectors based on recombinant adeno-associated viruses (rAAV) have emerged as tools of choice for gene transfer to skeletal muscle. rAAV vectors demonstrate efficient, safe, and stable transduction. Multiple serotypes of AAV exist, but vectors based on serotype 2 (rAAV2) are the most thoroughly characterized and frequently employed. Here, we characterize transduction of the skeletal musculature using rAAV vectors pseudotyped with serotype 6 capsid proteins (rAAV6). We demonstrate that rAAV6 vectors can efficiently transduce the skeletal musculature of mice at levels >500-fold higher than is achievable with rAAV2 vectors and can readily saturate individual muscles following direct injection. Further, rAAV6 vectors are capable of transducing the diaphragm and intercostal muscles of mice after a simple injection into the intrathoracic cavity and are capable of widespread transduction throughout the musculature of mice injected in the intraperitoneal space as newborn pups. These results demonstrate that rAAV6 vectors hold great potential for use in gene delivery protocols targeting the skeletal musculature.

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Year:  2004        PMID: 15451451     DOI: 10.1016/j.ymthe.2004.07.016

Source DB:  PubMed          Journal:  Mol Ther        ISSN: 1525-0016            Impact factor:   11.454


  111 in total

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8.  Validation of ultrasonography for non-invasive assessment of diaphragm function in muscular dystrophy.

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Authors:  Guy L Odom; Paul Gregorevic; James M Allen; Eric Finn; Jeffrey S Chamberlain
Journal:  Mol Ther       Date:  2008-07-29       Impact factor: 11.454

10.  Correction of multiple striated muscles in murine Pompe disease through adeno-associated virus-mediated gene therapy.

Authors:  Baodong Sun; Sarah P Young; Ping Li; Chunhui Di; Talmage Brown; Maja Z Salva; Songtao Li; Andrew Bird; Zhen Yan; Richard Auten; Stephen D Hauschka; Dwight D Koeberl
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