Improved detection of synthetic lethal interactions in Drosophila cells using variable dose analysis (VDA)

Citation:

Benjamin E Housden, Zhongchi Li, Colleen Kelley, Yuanli Wang, Yanhui Hu, Alexander J Valvezan, Brendan D Manning, and Norbert Perrimon. 2017. “Improved detection of synthetic lethal interactions in Drosophila cells using variable dose analysis (VDA).” Proc Natl Acad Sci U S A.

Abstract:

Synthetic sick or synthetic lethal (SS/L) screens are a powerful way to identify candidate drug targets to specifically kill tumor cells, but this approach generally suffers from low consistency between screens. We found that many SS/L interactions involve essential genes and are therefore detectable within a limited range of knockdown efficiency. Such interactions are often missed by overly efficient RNAi reagents. We therefore developed an assay that measures viability over a range of knockdown efficiency within a cell population. This method, called Variable Dose Analysis (VDA), is highly sensitive to viability phenotypes and reproducibly detects SS/L interactions. We applied the VDA method to search for SS/L interactions with TSC1 and TSC2, the two tumor suppressors underlying tuberous sclerosis complex (TSC), and generated a SS/L network for TSC. Using this network, we identified four Food and Drug Administration-approved drugs that selectively affect viability of TSC-deficient cells, representing promising candidates for repurposing to treat TSC-related tumors.
Last updated on 12/13/2017