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Enhancer-Driven Gene Expression (EDGE) Enables the Generation of Viral Vectors Specific to Neuronal Subtypes.
Nair, Rajeevkumar Raveendran; Blankvoort, Stefan; Lagartos, Maria Jose; Kentros, Cliff.
Afiliação
  • Nair RR; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Norway.
  • Blankvoort S; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Norway.
  • Lagartos MJ; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Norway.
  • Kentros C; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU, Norway; Institute of Neuroscience, University of Oregon, Eugene OR, USA. Electronic address: clifford.kentros@ntnu.no.
iScience ; 23(3): 100888, 2020 Mar 27.
Article em En | MEDLINE | ID: mdl-32087575
ABSTRACT
Although a variety of remarkable molecular tools for studying neural circuits have recently been developed, the ability to deploy them in particular neuronal subtypes is limited by the fact that native promoters are almost never specific enough. We recently showed that one can generate transgenic mice with anatomical specificity surpassing that of native promoters by combining enhancers uniquely active in particular brain regions with a heterologous minimal promoter, an approach we call EDGE (Enhancer-Driven Gene Expression). Here we extend this strategy to the generation of viral (rAAV) vectors, showing that some EDGE rAAVs can recapitulate the specificity of the corresponding transgenic lines in wild-type animals, even of another species. This approach thus holds the promise of enabling circuit-specific manipulations in wild-type animals, not only enhancing our understanding of brain function, but perhaps one day even providing novel therapeutic avenues to approach disorders of the brain.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Noruega

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Noruega