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A Customizable Protocol for String Assembly gRNA Cloning STAgR
Published on: December 26, 2018
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Protocol to Design, Clone, and Validate sgRNAs for In Vivo Reverse Genetic Studies
Avery C Hunker1,2,3, Larry S Zweifel1,2,4
1Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA.
STAR Protocols
|October 12, 2020
Summary
This study presents a new protocol for gene editing in the adult central nervous system (CNS) using adeno-associated virus (AAV)-CRISPR/Cas9. The optimized workflow enables precise on-target mutagenesis in vivo, overcoming limitations of previous methods.
Area of Science:
- Neuroscience
- Molecular Biology
- Gene Editing
Background:
- Adeno-associated virus (AAV) mediated CRISPR/Cas9 allows for gene mutagenesis in the adult central nervous system (CNS).
- Existing methods for determining in vivo on-target mutagenesis are limited by the difficulty of isolating virally transduced cells.
Purpose of the Study:
- To optimize a workflow for the design, cloning, and validation of single-guide RNAs (sgRNAs) delivered by AAVs in vivo.
- To provide a versatile protocol applicable to any target gene in the CNS of rat or mouse models.
Main Methods:
- Development of a protocol for AAV-CRISPR/Cas9 system delivery.
- Optimization of sgRNA design, cloning, and validation for in vivo applications.
- Adaptation of the protocol for Cre or Flp driver lines using AAV-FLEX-SaCas9-sgRNA or AAV-FLEXfrt-SaCas9-sgRNA.
Main Results:
- Successful implementation of a workflow for AAV-mediated gene mutagenesis in the adult CNS.
- Demonstration of the protocol's applicability to various target genes in rodent models.
- Validation of adaptability to conditional gene editing systems.
Conclusions:
- The optimized protocol facilitates efficient and specific in vivo gene mutagenesis in the adult CNS.
- This method overcomes previous limitations in isolating transduced cells, improving on-target mutagenesis determination.
- The protocol is adaptable for broad use in neuroscience research and genetic engineering in vivo.

