Related Experiment Video

Updated: Jul 25, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Published on: December 11, 2016

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DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancer

Tapsya Nayak1, Li-Ju Wang2, Michael Ning1,2

  • 1Greehey Children's Cancer Research Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA.

Bioinformatics Advances
|June 26, 2023
PubMed
Abstract

Insights

DepLink is a new web server that links cancer genetic vulnerabilities and drug sensitivities. It helps researchers identify potential drug targets and treatments by integrating diverse datasets for easier navigation and visualization.

Area of Science:

  • Computational biology
  • Bioinformatics
  • Cancer research

Background:

  • Large-scale genetic and pharmacologic dependency maps are crucial for understanding cancer vulnerabilities and drug sensitivities.
  • Existing tools lack user-friendly interfaces for systematically linking these complex datasets.

Purpose of the Study:

  • To develop DepLink, a web server for linking genetic and pharmacologic cancer dependency maps.
  • To enable systematic identification of genetic and drug perturbations with similar cellular effects.

Main Methods:

  • DepLink integrates heterogeneous datasets including CRISPR loss-of-function screens, high-throughput pharmacologic screens, and gene expression signatures.
  • It features four modules for querying drug-gene interactions, drug mechanisms, and drug similarities.
  • Validation was performed by linking drug treatments to gene knockout effects.

Main Results:

  • DepLink successfully connects diverse cancer dependency data through its integrated modules.
  • A case study using CDK6 demonstrated the tool's ability to identify known inhibitors, novel synergistic partners, and investigational drug insights.
  • The web server facilitates navigation and visualization of cancer dependency maps.

Conclusions:

  • DepLink provides a user-friendly platform for exploring and linking cancer genetic and pharmacologic data.
  • It aids in discovering novel therapeutic strategies and understanding drug mechanisms.
  • The tool supports the advancement of precision oncology by connecting complex biological information.

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