A CRISPR Resource for Individual, Combinatorial, or Multiplexed Gene Knockout

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We have combined a machine-learning approach with other strategies to optimize knockout efficiency with the CRISPR/Cas9 system. In addition, we have developed a multiplexed sgRNA expression strategy that promotes the functional ablation of single genes and allows for combinatorial targeting. These s...

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Detalles Bibliográficos
Autores principales: Erard, Nicolas, Knott, Simon R.V., Hannon, Gregory J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2017
Materias:
Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526787/
https://www.ncbi.nlm.nih.gov/pubmed/28732207
http://dx.doi.org/10.1016/j.molcel.2017.06.030
Descripción
Sumario:We have combined a machine-learning approach with other strategies to optimize knockout efficiency with the CRISPR/Cas9 system. In addition, we have developed a multiplexed sgRNA expression strategy that promotes the functional ablation of single genes and allows for combinatorial targeting. These strategies have been combined to design and construct a genome-wide, sequence-verified, arrayed CRISPR library. This resource allows single-target or combinatorial genetic screens to be carried out at scale in a multiplexed or arrayed format. By conducting parallel loss-of-function screens, we compare our approach to existing sgRNA design and expression strategies.

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