Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM

Alan S L Wong1, Gigi C G Choi1, Cheryl H Cui2

  • 1Synthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Research Laboratory of Electronics, MIT, Cambridge, MA 02139;

Insights

This study introduces CombiGEM-CRISPR, a platform for screening gene combinations to find effective drug pairs. It accelerates the discovery of genetic and drug combinations for human diseases.

Area of Science:

  • Genomics
  • Cancer Biology
  • Drug Discovery

Background:

  • Discovering gene and drug combinations to control cell phenotypes is challenging and difficult to scale.
  • Systematic identification of genetic interactions is crucial for understanding complex biological processes and developing targeted therapies.

Purpose of the Study:

  • To develop a scalable platform for massively parallel screening of combinatorial gene perturbations in human cells.
  • To translate identified gene pairs into effective drug combinations for modulating human disease phenotypes, specifically ovarian cancer.

Main Methods:

  • Utilized CRISPR-Cas9 and Combinatorial Genetics en masse (CombiGEM) to create barcoded combinatorial genetic libraries.
  • Performed high-throughput pooled screening of 23,409 dual guide-RNA combinations to identify gene pairs inhibiting ovarian cancer cell growth.
  • Validated gene pair effects using CRISPR-Cas knockouts and RNA-interference, and tested synergistic drug pairs.

Main Results:

  • Identified specific gene pairs, including epigenetic regulators KDM4C/BRD4 and KDM6B/BRD4, that inhibit ovarian cancer cell growth.
  • Demonstrated that drug pairs targeting identified gene pairs exhibit synergistic antiproliferative effects.
  • Successfully validated the CombiGEM-CRISPR platform's ability to identify impactful genetic and drug combinations.

Conclusions:

  • The CombiGEM-CRISPR platform offers a powerful tool for accelerating the systematic discovery of gene and drug combinations.
  • This technology has broad applicability for various biological settings and can advance the development of novel therapeutic strategies for complex diseases.
  • The study highlights the potential for translating genetic discoveries into effective combination therapies.