Literature DB >> 28782559

TrapSeq: An RNA Sequencing-Based Pipeline for the Identification of Gene-Trap Insertions in Mammalian Cells.

Cristina Mayor-Ruiz1, Orlando Dominguez2, Oscar Fernandez-Capetillo3.   

Abstract

The development of haploid mammalian cell lines, coupled to next-generation sequencing, has recently facilitated forward genetic screenings in mammals. For mutagenesis, retrovirus- or transposon-based gene traps are frequently used. Current methods to map gene-trap insertions are based on inverse or splinkerette PCR, which despite their efficacy are prone to artifacts and do not provide information on expression of the targeted gene. Here, we describe a new RNA sequencing-based method (TrapSeq) to map gene-trap insertions. By recognizing chimeric mRNAs containing gene-trap sequences spliced to an exon, our method identifies insertions that lead to productive trapping. When applied to individual mutant clones, our method provides a fast and cost-effective way that not only identifies the insertion site but also reveals its impact on the expression of the trapped gene. As proof of principle, we conducted two independent screenings for resistance against 6-thioguanine and an ATR inhibitor, which identified mutations known to provide resistance to these reagents and revealed ECT2 as a novel determinant for the sensitivity to ATR inhibition.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gene trap; RNAseq; genetic screenings; haploid mammalian cells; piggyBac transposon

Mesh:

Year:  2017        PMID: 28782559      PMCID: PMC5695663          DOI: 10.1016/j.jmb.2017.07.020

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  43 in total

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Journal:  Cell       Date:  2016-12-15       Impact factor: 41.582

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Authors:  Caleb D Marceau; Andreas S Puschnik; Karim Majzoub; Yaw Shin Ooi; Susan M Brewer; Gabriele Fuchs; Kavya Swaminathan; Miguel A Mata; Joshua E Elias; Peter Sarnow; Jan E Carette
Journal:  Nature       Date:  2016-06-17       Impact factor: 49.962

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Authors:  Iris Tanaka; Alina Chakraborty; Olivier Saulnier; Clara Benoit-Pilven; Sophie Vacher; Dalila Labiod; Eric W F Lam; Ivan Bièche; Olivier Delattre; Frédéric Pouzoulet; Didier Auboeuf; Stéphan Vagner; Martin Dutertre
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  4 in total

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