ArticleProceedings of the National Academy of Sciences of the United States of America2017
Improved detection of synthetic lethal interactions in
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Inhibition of autophagy as a novel treatment for neurofibromatosis type 1 tumors.Molecular oncology · 2025Article
- HIF-independent synthetic lethality between CDK4/6 inhibition and VHL loss across species.Science signaling · 2019Article
- Challenges to curing primary brain tumours.Nature reviews. Clinical oncology · 2019Review
- Generating and working with Drosophila cell cultures: Current challenges and opportunities.Wiley interdisciplinary reviews. Developmental biology · 2019Review
- Variable Dose Analysis: A Novel High-throughput RNAi Screening Method forBio-protocol · 2018Article
- Pooled genome-wide CRISPR screening for basal and context-specific fitness gene essentiality ineLife · 2018Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.