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Gene delivery in a mouse xenograft of a retargeted retrovirus to a solid 143B osteosarcoma

Overview of attention for article published in Virology Journal, June 2013
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Title
Gene delivery in a mouse xenograft of a retargeted retrovirus to a solid 143B osteosarcoma
Published in
Virology Journal, June 2013
DOI 10.1186/1743-422x-10-194
Pubmed ID
Authors

Xia Zhang, Anindita Sarangi, Dai-Tze Wu, Jaya Kanduri, Monica J Roth

Abstract

Osteosarcomas are the most common primary bone malignancies found in children and adolescents. An optimized system was developed for efficient retroviral gene delivery into solid 143B osteosarcoma tumors in mice using a retargeted Env. In these studies, the viral Env CP was isolated from an in vitro screen of a library of feline leukemia virus Env randomized in the receptor-binding domain and maintained high titer on human 143B osteosarcoma cell line. The vector developed to express the random Env libraries encoded the drug selectable marker neo. To adapt this for studies in live animals, the murine based vector was modified to express the luciferase gene. The bicistronic vector developed expressed both the CP Env and luciferase in the presence of either the MPMV CTE or a WPRE element. Virus bearing the CP FeLV Env variant maintained high titers after concentration allowing for direct visualization of delivery of the luciferase gene in subcutaneous 143B osteosarcoma tumors. This system serves as a proof-of-concept for the use of novel FeLV Env pseudotyped MLV particles for in vivo gene delivery. Gene delivery and expression of lucerifase from viral particles bearing the CP Env was readily detected in live mice after a single round of intratumor injection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Professor 2 15%
Researcher 2 15%
Student > Master 2 15%
Student > Ph. D. Student 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Veterinary Science and Veterinary Medicine 2 15%
Agricultural and Biological Sciences 2 15%
Neuroscience 2 15%
Medicine and Dentistry 2 15%
Other 1 8%
Unknown 1 8%