ArticlebioRxiv : the preprint server for biology2025
Functional modules predict cancer-relevant genetic interactions in mammalian cells.
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- A review on current theories and potential therapies for prion diseases.Molecular biology reports · 2025Review
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Authors and funding
14 authors.
Funding
Abstract
Genetic interactions can reveal gene function and identify cancer-relevant synthetic lethals, but systematic mapping in human cells is constrained by inefficient reagents, vast combinatorial search space, and diversity of cell types. Here, we leverage principles from yeast genetic networks to identify human gene modules enriched for genetic interactions. Using our Cas12a-based In4mer combinatorial knockout platform, we screen all pairwise interactions within receptor tyrosine kinase and DNA damage response modules across eight diverse cancer cell lines. We identify hundreds of unreported synthetic lethals, including a dense network within the protein glycosylation machinery, and confirm that interactions in 2D cell culture are maintained in more physiologically relevant models. Our targeted modules show up to 16-fold enrichment of interaction density, providing a scalable strategy for systematic interaction mapping.
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Registered trials
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