A Three-Way Combinatorial CRISPR Screen for Analyzing Interactions among Druggable Targets

Peng Zhou1, Becky K C Chan1, Yuk Kei Wan1

  • 1Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.

Cell Reports
|August 14, 2020
PubMed

Insights

We developed a CRISPR screening system to find effective multi-gene cancer and Parkinson's disease drug combinations. This tool identifies rare synergistic interactions for novel therapeutic strategies.

Area of Science:

  • * Molecular Biology
  • * Genetics
  • * Bioinformatics

Background:

  • * Identifying synergistic drug combinations is crucial for effective cancer and neurodegenerative disease therapies.
  • * Current methods struggle with the complexity of high-order genetic interactions.

Purpose of the Study:

  • * To develop a CRISPR-based system for efficient, large-scale screening of multi-gene knockout combinations.
  • * To identify pairwise and three-way synergistic therapeutic targets for cancer and Parkinson's disease.

Main Methods:

  • * Engineered CRISPR system for assembling barcoded, high-order combinatorial guide RNA libraries.
  • * Systematic screening to identify synergistic gene interactions.
  • * Validation of identified double- and triple-combination regimens in cellular models.

Main Results:

  • * Successfully identified synergistic therapeutic target combinations.
  • * Validated double- and triple-drug regimens effectively suppressed cancer cell growth.
  • * Demonstrated protection against Parkinson's disease-associated toxicity using identified combinations.

Conclusions:

  • * The developed CRISPR system overcomes challenges in screening high-order genetic combinations.
  • * Enables discovery of rare synergistic interactions between druggable targets.
  • * Offers a powerful platform for uncovering novel combination therapies for complex diseases.