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Hepatol Commun ; 7(2): e0009, 2023 02 01.
Artículo en Inglés | MEDLINE | ID: mdl-37074875

RESUMEN

BACKGROUND AND AIMS: Adeno-associated virus (AAV) vectors are widely used to deliver therapeutic transgenes to distinct tissues, including the liver. Vectors based on naturally occurring AAV serotypes as well as vectors using engineered capsids have shown variations in tissue tropism and level of transduction between different mouse models. Moreover, results obtained in rodents frequently lack translatability into large animal studies. In light of the increasing interest in AAV vectors for human gene therapy, an increasing number of studies are being performed in nonhuman primates. To keep animal numbers to a minimum and thus optimize the process of AAV capsid selection, we developed a multiplex barcoding approach to simultaneously evaluate the in vivo vector performance for a set of serotypes and capsid-engineered AAV vectors across multiple organs. APPROACH AND RESULTS: Vector biodistribution and transgene expression were assessed by quantitative PCR, quantitative reverse transcription PCR, vector DNA amplicon Illumina sequencing and vRNAseq in male and female rhesus macaques simultaneously dosed with a mixture of barcoded naturally occurring or engineered AAV vectors encoding the same transgene. As expected, our findings show animal-to-animal variation in both the biodistribution and tissue transduction pattern, which was partly influenced by each animal's distinctive serological status. CONCLUSIONS: This method offers a robust approach to AAV vector optimization that can be used to identify and validate AAV vectors for gene delivery to potentially any anatomical site or cell type.


Asunto(s)
Cápside , Dependovirus , Animales , Ratones , Femenino , Masculino , Humanos , Cápside/metabolismo , Dependovirus/genética , Dependovirus/metabolismo , Distribución Tisular , Macaca mulatta/genética , Macaca mulatta/metabolismo , Proteínas de la Cápside/genética , Proteínas de la Cápside/metabolismo , Terapia Genética/métodos
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