Background Synthetic lethality describes a genetic interaction between two perturbations,
leading to cell death, whereas neither event alone has a significant effect on cell viability …

Synthetic lethality offers a promising approach for developing effective therapeutic
interventions in cancer when direct targeting of driver genes is impractical. In this study, we …

Genetic interaction networks are a powerful approach for functional genomics, and the
synthetic lethal interactions that comprise these networks offer a compelling strategy for …

Exploiting cancer vulnerabilities is critical for the discovery of anticancer drugs. However,
tumor suppressors cannot be directly targeted because of their loss of function. To uncover …

Exploiting synthetic lethality is a promising strategy for developing targeted cancer
therapies. However, identifying clinically significant synthetic lethal (SL) interactions among …

Pairs of paralogs may share common functionality and, hence, display synthetic lethal
interactions. As the majority of human genes have an identifiable paralog, exploiting …

Simple Summary This work shows that the predictions of lethal dependencies (LEDs)
between genes can be dramatically improved by incorporating the “HUb effect in Genetic …

Synthetic lethality occurs when the inhibition of two genes is lethal while the inhibition of
each single gene is not. It can be harnessed to selectively treat cancer by identifying inactive …

Synthetic lethality exploits the phenomenon that a mutation in a cancer gene is often
associated with new vulnerability which can be uniquely targeted therapeutically, leading to …

Background Hundreds of functional genomic screens have been performed across a diverse
set of cancer contexts, as part of efforts such as the Cancer Dependency Map, to identify …