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数据集成工作流,以识别针对合成致命相互作用的药物组合
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JoVE Journal
Cancer Research
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Please note that all translations are automatically generated.
Click here for the English version.
数据集成工作流,以识别针对合成致命相互作用的药物组合
DOI:
10.3791/60328-v
•
07:40 min
•
May 27, 2021
•
Maximilian Marhold
,
Andreas Heinzel
,
Almas Merchant
,
Paul Perco
,
Michael Krainer
1
Department of Internal Medicine I – Division of Oncology, Comprehensive Cancer Center
,
Medical University of Vienna
,
2
Department of Nephrology
,
Medical University of Vienna
,
3
Department of Internal Medicine IV
,
Medical University Innsbruck
Chapters
00:04
Introduction
01:03
Retrieving Synthetic Lethal Gene Pairs
01:48
Translating Synthetic Lethal Gene Pairs to Human Orthologs
03:20
Mapping Synthetic Lethal Interaction Partners to Drugs
04:28
Establish the Set of Currently Tested Drug Combinations in Clinical Trials
04:45
Testing Proposed Drug Combinations In Vitro
05:28
Results: Proposed Novel Drug Combinations for Ovarian and Breast Cancer
06:37
Conclusion
Summary
Automatic Translation
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Automatic Translation
模型生物体中的大型基因筛选导致对负基因相互作用的识别。在这里,我们使用模型生物体中遗传筛选的数据来描述数据集成工作流,以描述针对癌症中合成致命相互作用的药物组合。
Tags
Data Integration
Drug Combinations
Synthetic Lethality
BioGRID
Negative Genetic Interactions
Model Organism
Ensembl BioMart
Orthologous Genes
Data Retrieval
Cancer
BRCA
PARP Inhibitors
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