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

Peng Zhou, Becky K.C. Chan, Yuk Kei Wan, Chaya T.L. Yuen, Gigi C.G. Choi, Xinran Li, Cindy S.W. Tong, Sophia S.W. Zhong, Jieran Sun, Yufan Bao, Silvia Y.L. Mak, Maggie Z.Y. Chow, Jien Vei Khaw, Suet Yi Leung, Zongli Zheng, Lydia W.T. Cheung, Kaeling Tan, Koon Ho Wong, H.Y. Edwin Chan, Alan S.L. Wong*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

30 Citations (Scopus)
95 Downloads (CityUHK Scholars)

Abstract

We present a CRISPR-based multi-gene knockout screening system and toolkits for extensible assembly of barcoded high-order combinatorial guide RNA libraries en masse. We apply this system for systematically identifying not only pairwise but also three-way synergistic therapeutic target combinations and successfully validate double- and triple-combination regimens for suppression of cancer cell growth and protection against Parkinson's disease-associated toxicity. This system overcomes the practical challenges of experimenting on a large number of high-order genetic and drug combinations and can be applied to uncover the rare synergistic interactions between druggable targets.
Original languageEnglish
Article number108020
JournalCell Reports
Volume32
Issue number6
Online published11 Aug 2020
DOIs
Publication statusPublished - 11 Aug 2020

Research Keywords

  • cancer
  • CombiGEM
  • combination therapy
  • combinatorial genetics
  • CRISPR
  • drug interaction
  • genetic interaction
  • high-throughput screening
  • neurodegeneration
  • Parkinson's disease

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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