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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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Cancer Research
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JoVE Journal Cancer Research
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

DOI:
10.3791/60328-v

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07:40 min

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May 27, 2021

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, , , ,
1Department of Internal Medicine I – Division of Oncology, Comprehensive Cancer Center,Medical University of Vienna, 2Department of Nephrology,Medical University of Vienna, 3Department of Internal Medicine IV,Medical University Innsbruck

Chapters

  • 00:04Introduction
  • 01:03Retrieving Synthetic Lethal Gene Pairs
  • 01:48Translating Synthetic Lethal Gene Pairs to Human Orthologs
  • 03:20Mapping Synthetic Lethal Interaction Partners to Drugs
  • 04:28Establish the Set of Currently Tested Drug Combinations in Clinical Trials
  • 04:45Testing Proposed Drug Combinations In Vitro
  • 05:28Results: Proposed Novel Drug Combinations for Ovarian and Breast Cancer
  • 06:37Conclusion

Summary

Automatic Translation

Automatic Translation

Large genetic screens in model organisms have led to the identification of negative genetic interactions. Here, we describe a data integration workflow using data from genetic screens in model organisms to delineate drug combinations targeting synthetic lethal interactions in cancer.

Tags

Keywords: Data IntegrationDrug CombinationsSynthetic LethalityBioGRIDNegative Genetic InteractionsModel OrganismEnsembl BioMartOrthologous GenesData RetrievalCancerBRCAPARP Inhibitors

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