Fast, multiplexable and efficient somatic gene deletions in adult mouse skeletal muscle fibers using AAV-CRISPR/Cas9
Molecular screens comparing different disease states to identify candidate genes rely on the availability of fast, reliable and multiplexable systems to interrogate genes of interest. CRISPR/Cas9-based reverse genetics is a promising method to eventually achieve this. However, such methods are sorel...
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| Main Authors: | , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
30 September 2023
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| In: |
Nature Communications
Year: 2023, Volume: 14, Pages: 1-16 |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-023-41769-7 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-023-41769-7 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41467-023-41769-7 |
| Author Notes: | Marco Thürkauf, Shuo Lin, Filippo Oliveri, Dirk Grimm, Randall J. Platt & Markus A. Rüegg |
| Summary: | Molecular screens comparing different disease states to identify candidate genes rely on the availability of fast, reliable and multiplexable systems to interrogate genes of interest. CRISPR/Cas9-based reverse genetics is a promising method to eventually achieve this. However, such methods are sorely lacking for multi-nucleated muscle fibers, since highly efficient nuclei editing is a requisite to robustly inactive candidate genes. Here, we couple Cre-mediated skeletal muscle fiber-specific Cas9 expression with myotropic adeno-associated virus-mediated sgRNA delivery to establish a system for highly effective somatic gene deletions in mice. Using well-characterized genes, we show that local or systemic inactivation of these genes copy the phenotype of traditional gene-knockout mouse models. Thus, this proof-of-principle study establishes a method to unravel the function of individual genes or entire signaling pathways in adult skeletal muscle fibers without the cumbersome requirement of generating knockout mice. |
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| Item Description: | Gesehen am 11.03.2024 |
| Physical Description: | Online Resource |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-023-41769-7 |