Literature DB >> 21855347

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

Caroline C Friedel1, Jürgen Haas.   

Abstract

Novel high-throughput technologies such as yeast two-hybrid and RNA interference (RNAi) screens provide the tools to study interactions between viral proteins and the host on a genomic scale. In this review, we provide an overview of studies in which these technologies were applied and of computational approaches for the analysis of the identified viral interactors in the context of the host cell. The results of these studies illustrate the advantages of integrative systems biology approaches in the investigation of viral pathogens.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID： 21855347     DOI： 10.1016/j.tim.2011.07.003

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN： 0966-842X            Impact factor:   17.079


  36 in total

Review 1.  Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.

Authors:  Bram Stynen; Hélène Tournu; Jan Tavernier; Patrick Van Dijck
Journal:  Microbiol Mol Biol Rev       Date:  2012-06       Impact factor: 11.056

2.  Probing the virus host interaction in high containment: an approach using pooled short hairpin RNA.

Authors:  Claire Marie Filone; Ken Dower; Glenn S Cowley; Lisa E Hensley; John H Connor
Journal:  Assay Drug Dev Technol       Date:  2015-02-03       Impact factor: 1.738

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

Authors:  Kristina J Allan; Douglas J Mahoney; Stephen D Baird; Charles A Lefebvre; David F Stojdl
Journal:  J Vis Exp       Date:  2018-04-03       Impact factor: 1.355

4.  SUMO binding by the Epstein-Barr virus protein kinase BGLF4 is crucial for BGLF4 function.

Authors:  Renfeng Li; Leyao Wang; Gangling Liao; Catherine M Guzzo; Michael J Matunis; Heng Zhu; S Diane Hayward
Journal:  J Virol       Date:  2012-03-07       Impact factor: 5.103

5.  Positive selection of primate genes that promote HIV-1 replication.

Authors:  Nicholas R Meyerson; Paul A Rowley; Christina H Swan; Dona T Le; Gregory K Wilkerson; Sara L Sawyer
Journal:  Virology       Date:  2014-03-21       Impact factor: 3.616

6.  Opportunities in proteomics to understand hepatitis C and HIV coinfection.

Authors:  Eric G Meissner; Anthony F Suffredini; Shyamasundaran Kottilil
Journal:  Future Virol       Date:  2012-08       Impact factor: 1.831

Review 7.  Chronic hepatitis C: This and the new era of treatment.

Authors:  Gaetano Bertino; Annalisa Ardiri; Maria Proiti; Giuseppe Rigano; Evelise Frazzetto; Shirin Demma; Maria Irene Ruggeri; Laura Scuderi; Giulia Malaguarnera; Nicoletta Bertino; Venerando Rapisarda; Isidoro Di Carlo; Adriana Toro; Federico Salomone; Mariano Malaguarnera; Emanuele Bertino; Michele Malaguarnera
Journal:  World J Hepatol       Date:  2016-01-18

8.  Engineering Enhanced Vaccine Cell Lines To Eradicate Vaccine-Preventable Diseases: the Polio End Game.

Authors:  Sabine M G van der Sanden; Weilin Wu; Naomi Dybdahl-Sissoko; William C Weldon; Paula Brooks; Jason O'Donnell; Les P Jones; Cedric Brown; S Mark Tompkins; M Steven Oberste; Jon Karpilow; Ralph A Tripp
Journal:  J Virol       Date:  2015-11-18       Impact factor: 5.103

9.  Data science in unveiling COVID-19 pathogenesis and diagnosis: evolutionary origin to drug repurposing.

Authors:  Jayanta Kumar Das; Giuseppe Tradigo; Pierangelo Veltri; Pietro H Guzzi; Swarup Roy
Journal:  Brief Bioinform       Date:  2021-03-22       Impact factor: 11.622

Review 10.  Discovering antiviral restriction factors and pathways using genetic screens.

Authors:  Chloe E Jones; Wenfang S Tan; Finn Grey; David J Hughes
Journal:  J Gen Virol       Date:  2021-05       Impact factor: 3.891
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