SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets

@article{Guo2016SynLethDBSL,
  title={SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets},
  author={Jing Guo and Hui Liu and Jie Zheng},
  journal={Nucleic Acids Research},
  year={2016},
  volume={44},
  pages={D1011 - D1017}
}
Synthetic lethality (SL) is a type of genetic interaction between two genes such that simultaneous perturbations of the two genes result in cell death or a dramatic decrease of cell viability, while a perturbation of either gene alone is not lethal. SL reflects the biologically endogenous difference between cancer cells and normal cells, and thus the inhibition of SL partners of genes with cancer-specific mutations could selectively kill cancer cells but spare normal cells. Therefore, SL is… 
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TLDR
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TLDR
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TLDR
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TLDR
This work proposes a more general definition of SL for cancer metabolism that combines genetic and environmental interactions, namely loss of gene functions and absence of nutrients in the environment, and extends the genetic Minimal Cut Sets approach to determine this new family of metabolic synthetic lethal interactions.
Pan-Cancer Analysis of Potential Synthetic Lethal Drug Targets Specific to Alterations in DNA Damage Response
TLDR
A computational framework provides a basis for clinically relevant and actionable SL based drug targets specific to alterations in DDR pathways and has shown clinical relevance, for selected targetable SL interactions using Kaplan-Meier analysis in terms of improved disease-free survival.
DNA Double Strand Break Repair - Related Synthetic Lethality.
TLDR
Mechanistic aspects of synthetic lethality in the context of deficiencies in DNA double strand break repair pathways are discussed and clinical trials utilizing synthetic lethal interactions are reviewed and the mechanisms of resistance are reviewed.
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TLDR
Syn-Lethality is presented, the first integrative knowledge base of SL that is dedicated to human cancer, which integrates experimentally discovered and verified human SL gene pairs into a network, associated with annotations of gene functions, pathways and molecular mechanisms.
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