ArticleNature communications2025
A next-generation dual guide CRISPR system for genetic interaction library screening.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Balancing off-target and on-target considerations for optimized CRISPR-Cas9 knockout library design.Cell genomics · 2026Article
- Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens.bioRxiv : the preprint server for biology · 2026Article
- Functional modules predict cancer-relevant genetic interactions in mammalian cells.bioRxiv : the preprint server for biology · 2025Article
- Protocol for pooled FACS-based CRISPR knockout screening in human iPSC-derived microglia.STAR protocols · 2025Article
- Altered mRNA transport and local translation in i3Neurons with RNA-binding protein knockdown.Nucleic acids research · 2025Article
- A global genetic interaction map of a human cell reveals conserved principles of genetic networks.bioRxiv : the preprint server for biology · 2025Article
- Altered mRNA transport and local translation in iNeurons with RNA binding protein knockdown.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
13 authors.
Funding
Abstract
Pairwise perturbation of gene function using the CRISPR/Cas9 system has potential in screening for genetic interactions and synthetic lethal gene pairs to identify combination therapies for cancer. However, existing dual guide expression systems are cumbersome to clone, often result in a large proportion of undesired guide pairs and have an imbalance of guide expression from the two positions. Here, we demonstrate a next-generation system for dual guide delivery based around a tRNA spacer that allows a single-step cloning strategy, as little as 2% of undesired guide pairs, and highly balanced expression of the two guides. This system allows efficient library-scale screening for hundreds of thousands of genetic interactions using the well-understood Streptococcus pyogenes Cas9 (SpCas9) system. We use this to screen a 100,136 guide pair library in colorectal cancer cells and successfully identify synthetic lethal genetic interactions between paralogs or other known interacting genes, establishing our method for performing efficient large-scale genetic interaction screens. This system is versatile and could be used with most guide RNA vector systems, and for other uses of paired guide delivery, such as improving single gene knockout efficiency or improving guide detection in single cell or optical CRISPR screens.
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