A next-generation dual guide CRISPR system for genetic interaction library screening

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-06
DOI
https://doi.org/10.1038/s41467-025-67256-9
Citations
3
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A next-generation dual guide CRISPR system for genetic interaction library screening

Lisa Dwane, Andrew Bassett, Emre Karakoç, Romina Silva et al.
3 citations
Nature Communications
CRISPR and Genetic Engineering
2.42
article

A next-generation dual guide CRISPR system for genetic interaction library screening

Lisa Dwane, Andrew Bassett, Emre Karakoç, Romina Silva, Mamta Sharma, Lykourgos‐Panagiotis Zalmas, Inigo Barrio‐Hernandez, Alexandra Beck, Ching Chiek Koh, Thomas Burgold, Emanuel Gonçalves, Emily Souster, Mathew J. Garnett
article en
3 citations

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.

Nature CommunicationsVol. 17(1)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), University of Lisbon (PT), University of Cambridge (GB), Wellcome Sanger Institute (GB), Open Targets (GB), Agrobiotechnology Institute (ES), Sunway University (MY)
Openalex Percentile: Top 10%
CRISPR and Genetic Engineering
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.