Literature DB >> 30728633

Prediction of MicroRNAs in the Epstein-Barr Virus Reveals Potential Targets for the Viral Self-Regulation.

Victor Serrano-Solis1, Angelica Cardoso Carlos1, Vinicius Maracaja-Coutinho2,3,4, Sávio Torres de Farias1.   

Abstract

Studies involving miRNAs have opened discussions about their broad participation in viral infections. Regarding the Human gammaherpesvirus 4 or Epstein-Barr virus (EBV), miRNAs are important regulators of viral and cellular gene expression during the infectious process, promoting viral persistence and, in some cases, oncogenic processes. We identified 55 miRNAs of EBV type 2 and inferred the viral mRNA target to self-regulate. This data indicate that gene self-repression is an important strategy for maintenance of the viral latent phase. In addition, a protein network was constructed to establish essential proteins in the self-regulation process. We found ten proteins that work as hubs, highlighting BTRF1 and BSRF1 as the most important proteins in the network. These results open a new way to understand the infection by EBV type 2, where viral genes can be targeted for avoiding oncogenic processes, as well as new therapies to suppress and combat the persistent viral infection.

Entities:  

Keywords:  Epstein–Barr virus; Self-regulation; miRNA s

Year:  2018        PMID: 30728633      PMCID: PMC6328420          DOI: 10.1007/s12088-018-0775-4

Source DB:  PubMed          Journal:  Indian J Microbiol        ISSN: 0046-8991            Impact factor:   2.461


  42 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

Review 2.  Epstein-Barr virus infection.

Authors:  J I Cohen
Journal:  N Engl J Med       Date:  2000-08-17       Impact factor: 91.245

3.  Two nonconsensus sites in the Epstein-Barr virus oncoprotein EBNA3A cooperate to bind the co-repressor carboxyl-terminal-binding protein (CtBP).

Authors:  Mark Hickabottom; Gillian A Parker; Paul Freemont; Tim Crook; Martin J Allday
Journal:  J Biol Chem       Date:  2002-10-07       Impact factor: 5.157

4.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

5.  Identification of virus-encoded microRNAs.

Authors:  Sébastien Pfeffer; Mihaela Zavolan; Friedrich A Grässer; Minchen Chien; James J Russo; Jingyue Ju; Bino John; Anton J Enright; Debora Marks; Chris Sander; Thomas Tuschl
Journal:  Science       Date:  2004-04-30       Impact factor: 47.728

Review 6.  Graph-based methods for analysing networks in cell biology.

Authors:  Tero Aittokallio; Benno Schwikowski
Journal:  Brief Bioinform       Date:  2006-07-30       Impact factor: 11.622

7.  EBNA2 interferes with the germinal center phenotype by downregulating BCL6 and TCL1 in non-Hodgkin's lymphoma cells.

Authors:  Francesco Boccellato; Eleni Anastasiadou; Paola Rosato; Bettina Kempkes; Luigi Frati; Alberto Faggioni; Pankaj Trivedi
Journal:  J Virol       Date:  2006-12-06       Impact factor: 5.103

8.  Herpes simplex virus type 1 UL51 protein is involved in maturation and egress of virus particles.

Authors:  Naoki Nozawa; Yasushi Kawaguchi; Michiko Tanaka; Akihisa Kato; Ai Kato; Hiroshi Kimura; Yukihiro Nishiyama
Journal:  J Virol       Date:  2005-06       Impact factor: 5.103

9.  The genome of Epstein-Barr virus type 2 strain AG876.

Authors:  Aidan Dolan; Clare Addison; Derek Gatherer; Andrew J Davison; Duncan J McGeoch
Journal:  Virology       Date:  2006-02-21       Impact factor: 3.616

10.  Epstein-Barr virus microRNAs are evolutionarily conserved and differentially expressed.

Authors:  Xuezhong Cai; Alexandra Schäfer; Shihua Lu; John P Bilello; Ronald C Desrosiers; Rachel Edwards; Nancy Raab-Traub; Bryan R Cullen
Journal:  PLoS Pathog       Date:  2006-03-24       Impact factor: 6.823

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