Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation.
Max A HorlbeckLuke A GilbertJacqueline E VillaltaBritt AdamsonRyan A PakYuwen ChenAlexander P FieldsChong Yon ParkJacob E CornMartin Edward KampmannJonathan S WeissmanPublished in: eLife (2016)
We recently found that nucleosomes directly block access of CRISPR/Cas9 to DNA (Horlbeck et al., 2016). Here, we build on this observation with a comprehensive algorithm that incorporates chromatin, position, and sequence features to accurately predict highly effective single guide RNAs (sgRNAs) for targeting nuclease-dead Cas9-mediated transcriptional repression (CRISPRi) and activation (CRISPRa). We use this algorithm to design next-generation genome-scale CRISPRi and CRISPRa libraries targeting human and mouse genomes. A CRISPRi screen for essential genes in K562 cells demonstrates that the large majority of sgRNAs are highly active. We also find CRISPRi does not exhibit any detectable non-specific toxicity recently observed with CRISPR nuclease approaches. Precision-recall analysis shows that we detect over 90% of essential genes with minimal false positives using a compact 5 sgRNA/gene library. Our results establish CRISPRi and CRISPRa as premier tools for loss- or gain-of-function studies and provide a general strategy for identifying Cas9 target sites.
Keyphrases
- crispr cas
- genome wide
- genome editing
- genome wide identification
- dna methylation
- copy number
- transcription factor
- machine learning
- induced apoptosis
- deep learning
- gene expression
- endothelial cells
- dna binding
- oxidative stress
- cancer therapy
- genome wide analysis
- cell cycle arrest
- dna damage
- high throughput
- single molecule
- cell free
- neural network
- drug delivery
- cell death
- low cost
- pluripotent stem cells
- heat shock
- single cell