Literature DB >> 29683442

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy.

Kristina J Allan1, Douglas J Mahoney2, Stephen D Baird3, Charles A Lefebvre3, David F Stojdl4.   

Abstract

High-throughput genome-wide RNAi (RNA interference) screening technology has been widely used for discovering host factors that impact virus replication. Here we present the application of this technology to uncovering host targets that specifically modulate the replication of Maraba virus, an oncolytic rhabdovirus, and vaccinia virus with the goal of enhancing therapy. While the protocol has been tested for use with oncolytic Maraba virus and oncolytic vaccinia virus, this approach is applicable to other oncolytic viruses and can also be utilized for identifying host targets that modulate virus replication in mammalian cells in general. This protocol describes the development and validation of an assay for high-throughput RNAi screening in mammalian cells, the key considerations and preparation steps important for conducting a primary high-throughput RNAi screen, and a step-by-step guide for conducting a primary high-throughput RNAi screen; in addition, it broadly outlines the methods for conducting secondary screen validation and tertiary validation studies. The benefit of high-throughput RNAi screening is that it allows one to catalogue, in an extensive and unbiased fashion, host factors that modulate any aspect of virus replication for which one can develop an in vitro assay such as infectivity, burst size, and cytotoxicity. It has the power to uncover biotherapeutic targets unforeseen based on current knowledge.

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Year:  2018        PMID: 29683442      PMCID: PMC5933373          DOI: 10.3791/56913

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  39 in total

1.  A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays.

Authors: 
Journal:  J Biomol Screen       Date:  1999

2.  An efficient method for the detection and elimination of systematic error in high-throughput screening.

Authors:  Vladimir Makarenkov; Pablo Zentilli; Dmytro Kevorkov; Andrei Gagarin; Nathalie Malo; Robert Nadon
Journal:  Bioinformatics       Date:  2007-04-26       Impact factor: 6.937

Review 3.  Statistical methods for analysis of high-throughput RNA interference screens.

Authors:  Amanda Birmingham; Laura M Selfors; Thorsten Forster; David Wrobel; Caleb J Kennedy; Emma Shanks; Javier Santoyo-Lopez; Dara J Dunican; Aideen Long; Dermot Kelleher; Queta Smith; Roderick L Beijersbergen; Peter Ghazal; Caroline E Shamu
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

Review 4.  Virus-host interactomes and global models of virus-infected cells.

Authors:  Caroline C Friedel; Jürgen Haas
Journal:  Trends Microbiol       Date:  2011-08-18       Impact factor: 17.079

Review 5.  Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions.

Authors:  Iurie Caraus; Abdulaziz A Alsuwailem; Robert Nadon; Vladimir Makarenkov
Journal:  Brief Bioinform       Date:  2015-03-07       Impact factor: 11.622

Review 6.  Next generation approaches to study virus entry and infection.

Authors:  Samuel Kilcher; Jason Mercer
Journal:  Curr Opin Virol       Date:  2013-11-13       Impact factor: 7.090

Review 7.  Functional genomic screening to enhance oncolytic virotherapy.

Authors:  D J Mahoney; D F Stojdl
Journal:  Br J Cancer       Date:  2012-11-20       Impact factor: 7.640

Review 8.  Applications of RNA interference high-throughput screening technology in cancer biology and virology.

Authors:  Shan Gao; Chen Yang; Shan Jiang; Xiao-Ning Xu; Xin Lu; You-Wen He; Annie Cheung; Hui Wang
Journal:  Protein Cell       Date:  2014-06-22       Impact factor: 14.870

9.  The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

Authors:  Damian Szklarczyk; John H Morris; Helen Cook; Michael Kuhn; Stefan Wyder; Milan Simonovic; Alberto Santos; Nadezhda T Doncheva; Alexander Roth; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

10.  Genetic dissection of Flaviviridae host factors through genome-scale CRISPR screens.

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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