Literature DB >> 26864203

Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM.

Alan S L Wong1, Gigi C G Choi1, Cheryl H Cui2, Gabriela Pregernig3, Pamela Milani3, Miriam Adam3, Samuel D Perli4, Samuel W Kazer5, Aleth Gaillard5, Mario Hermann1, Alex K Shalek5, Ernest Fraenkel3, Timothy K Lu6.   

Abstract

The orchestrated action of genes controls complex biological phenotypes, yet the systematic discovery of gene and drug combinations that modulate these phenotypes in human cells is labor intensive and challenging to scale. Here, we created a platform for the massively parallel screening of barcoded combinatorial gene perturbations in human cells and translated these hits into effective drug combinations. This technology leverages the simplicity of the CRISPR-Cas9 system for multiplexed targeting of specific genomic loci and the versatility of combinatorial genetics en masse (CombiGEM) to rapidly assemble barcoded combinatorial genetic libraries that can be tracked with high-throughput sequencing. We applied CombiGEM-CRISPR to create a library of 23,409 barcoded dual guide-RNA (gRNA) combinations and then perform a high-throughput pooled screen to identify gene pairs that inhibited ovarian cancer cell growth when they were targeted. We validated the growth-inhibiting effects of specific gene sets, including epigenetic regulators KDM4C/BRD4 and KDM6B/BRD4, via individual assays with CRISPR-Cas-based knockouts and RNA-interference-based knockdowns. We also tested small-molecule drug pairs directed against our pairwise hits and showed that they exerted synergistic antiproliferative effects against ovarian cancer cells. We envision that the CombiGEM-CRISPR platform will be applicable to a broad range of biological settings and will accelerate the systematic identification of genetic combinations and their translation into novel drug combinations that modulate complex human disease phenotypes.

Entities:  

Keywords:  CRISPR-Cas; CombiGEM; genetic perturbations; high-throughput screening; multifactorial genetics

Mesh:

Year:  2016        PMID: 26864203      PMCID: PMC4780610          DOI: 10.1073/pnas.1517883113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  53 in total

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Review 3.  Epigenetic therapy of cancer: past, present and future.

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4.  Combinatorial patterns of histone acetylations and methylations in the human genome.

Authors:  Zhibin Wang; Chongzhi Zang; Jeffrey A Rosenfeld; Dustin E Schones; Artem Barski; Suresh Cuddapah; Kairong Cui; Tae-Young Roh; Weiqun Peng; Michael Q Zhang; Keji Zhao
Journal:  Nat Genet       Date:  2008-06-15       Impact factor: 38.330

5.  Selective killing of mixed lineage leukemia cells by a potent small-molecule DOT1L inhibitor.

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Journal:  Cancer Cell       Date:  2011-07-12       Impact factor: 31.743

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-13       Impact factor: 11.205

Review 7.  The epigenomics of cancer.

Authors:  Peter A Jones; Stephen B Baylin
Journal:  Cell       Date:  2007-02-23       Impact factor: 41.582

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Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

9.  RPN2 gene confers docetaxel resistance in breast cancer.

Authors:  Kimi Honma; Kyoko Iwao-Koizumi; Fumitaka Takeshita; Yusuke Yamamoto; Teruhiko Yoshida; Kazuto Nishio; Shunji Nagahara; Kikuya Kato; Takahiro Ochiya
Journal:  Nat Med       Date:  2008-09       Impact factor: 53.440

10.  False negative rates in Drosophila cell-based RNAi screens: a case study.

Authors:  Matthew Booker; Anastasia A Samsonova; Young Kwon; Ian Flockhart; Stephanie E Mohr; Norbert Perrimon
Journal:  BMC Genomics       Date:  2011-01-20       Impact factor: 3.969

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  82 in total

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Journal:  Curr Opin Syst Biol       Date:  2017-08-12

2.  DrugThatGene: integrative analysis to streamline the identification of druggable genes, pathways and protein complexes from CRISPR screens.

Authors:  Matthew C Canver; Daniel E Bauer; Takahiro Maeda; Luca Pinello
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

Review 3.  From Reductionism to Holism: Toward a More Complete View of Development Through Genome Engineering.

Authors:  Rebecca K Delker; Richard S Mann
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

Review 4.  Genetic interaction networks in cancer cells.

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Journal:  Curr Opin Genet Dev       Date:  2019-04-08       Impact factor: 5.578

Review 5.  Mammalian synthetic biology in the age of genome editing and personalized medicine.

Authors:  Patrick Ho; Yvonne Y Chen
Journal:  Curr Opin Chem Biol       Date:  2017-06-16       Impact factor: 8.822

Review 6.  CRISPR/Cas9 library screening for drug target discovery.

Authors:  Morito Kurata; Kouhei Yamamoto; Branden S Moriarity; Masanobu Kitagawa; David A Largaespada
Journal:  J Hum Genet       Date:  2017-11-20       Impact factor: 3.172

7.  Genetic interaction mapping and exon-resolution functional genomics with a hybrid Cas9-Cas12a platform.

Authors:  Thomas Gonatopoulos-Pournatzis; Michael Aregger; Kevin R Brown; Shaghayegh Farhangmehr; Ulrich Braunschweig; Henry N Ward; Kevin C H Ha; Alexander Weiss; Maximilian Billmann; Tanja Durbic; Chad L Myers; Benjamin J Blencowe; Jason Moffat
Journal:  Nat Biotechnol       Date:  2020-03-16       Impact factor: 54.908

8.  CRISPR-based genetic interaction maps inform therapeutic strategies in cancer.

Authors:  Poornima Ramkumar; Martin Kampmann
Journal:  Transl Cancer Res       Date:  2018-02       Impact factor: 1.241

9.  CRISPR Technology for Breast Cancer: Diagnostics, Modeling, and Therapy.

Authors:  Rachel L Mintz; Madeleine A Gao; Kahmun Lo; Yeh-Hsing Lao; Mingqiang Li; Kam W Leong
Journal:  Adv Biosyst       Date:  2018-08-17

10.  A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.

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Journal:  Mol Cell       Date:  2016-07-21       Impact factor: 17.970

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