CRISPR-Cas, short for clustered regularly interspaced short palindromic repeats and CRISPR-associated nuclease, consists of a single nuclease protein (e.g., Cas9) in complex with a synthetic guide RNA (sgRNA). This ribonucleoprotein complex targets the Cas9 enzyme to induce double-stranded DNA breaks at a specific genomic locus1. Double-stranded breaks can be repaired via homology directed repair (HDR) or, more commonly, through non-homologous end joining (NHEJ), an error prone repair mechanism that results in insertion and/or deletions (INDELS) that frequently disrupt gene function1. The efficiency and simplicity of CRISPR enables a previously unattainable level of genomic targeting that far surpasses previous genome editing technologies [i.e., zinc finger nucleases (ZNF) or transcription activator-like effector nucleases (TALENS), both of which suffer from heightened design complexity, lower transfection efficiency, and limitations in multiplex gene editing2].
The basic research application of CRISPR single-guide RNA-based genome editing has allowed scientists to efficiently and inexpensively interrogate the functions of individual genes and topology of genetic interaction networks. The ability to perform functional genome-wide screens has been greatly enhanced by use of the CRISPR-Cas system, particularly when compared to earlier genetic perturbation technologies such as RNA interference (RNAi) and gene trap mutagenesis. In particular, RNAi suffers from high off-target effects and incomplete knockdown, resulting in lower sensitivity and specificity compared to CRISPR3,4,5, while gene trap methods are only feasible in haploid cells for loss-of-function screens, limiting the scope of cell models that can be interrogated6. The ability of CRISPR to generate complete gene knock-out provides a more biologically robust system to interrogate mutant phenotypes, with low noise, minimal off-target effects and consistent activity across reagents5. CRISPR-Cas9 sgRNA libraries that target the entire human genome are now widely available, allowing simultaneous generation of thousands of gene knock-outs in a single experiment3,7,8,9.
We have developed unique CRISPR-Cas9 genome-wide sgRNA lentiviral libraries called the Toronto Knock-out (TKO) libraries (available through Addgene) that are compact and sequence-optimized to facilitate high resolution functional genomics screens. The latest library, TKOv3, targets ~18,000 human protein-coding genes with 71,090 guides optimized for editing efficiency using empirical data10. Additionally, TKOv3 is available as a one-component library (LCV2::TKOv3, Addgene ID #90294) expressing Cas9 and sgRNAs on a single vector, alleviating the need to generate stable Cas9-expressing cells, enabling genome-wide knock-out across a broad range of mammalian cell types. TKOv3 is also available in a vector without Cas9 (pLCKO2::TKOv3, Addgene ID# 125517) and can be utilized in cells that express Cas911.
A genome-wide CRISPR-Cas9 edited cell population can be exposed to different growth conditions, with the abundance of sgRNAs over time quantified by next-generation sequencing, providing a readout to assess drop-out or enrichment of cells with traceable genetic perturbations. CRISPR knock-out libraries can be harnessed to identify genes that, upon perturbation, cause cellular fitness defects, moderate drug sensitivity (e.g., sensitive or resistant genes), regulate protein expression (e.g., reporter), or are required for a certain pathway function and cellular state12,13,14. For example, differential fitness screens in a cancer cell line can identify both depletion or reduction of oncogenes and enrichment or an increase of tumor suppressors genes3,14,15. Similarly, using intermediate doses of therapeutic drugs can reveal both drug resistance and sensitization genes16,17.
Provided here is a detailed screening protocol for genome-scale CRISPR-Cas9 loss-of-function screening using the Toronto Knock-out libraries (TKOv1 or v3) in mammalian cells from library generation, screening performance to data analysis. Although this protocol has been optimized for screening using the Toronto Knock-out libraries, it can be applied and become scalable to all CRISPR sgRNA pooled libraries.