Literature DB >> 19433118

Development of a DNA microarray for simultaneous detection and genotyping of lyssaviruses.

R Gurrala1, A Dastjerdi, N Johnson, J Nunez-Garcia, S Grierson, F Steinbach, M Banks.   

Abstract

The lyssavirus genus of the Rhabdoviridae family of viruses includes 7 genotypes and several non-assigned isolates. The source of lyssavirus infections is diverse with numerous reservoirs in a wide geographical area. In many parts of the world reservoir hosts can potentially be carrying one of several lyssavirus strains and possibly new divergent isolates await discovery. Accordingly, generic detection methods are required to be able to detect and discriminate all lyssaviruses and identify new divergent isolates. Here we have allied a sequence-independent amplification method to microarray to enable simultaneous detection and identification of all lyssavirus genotypes. To do so, lyssavirus RNA was converted to cDNA and amplified in a random PCR, labelled and hybridized to probes on the microarray chip before being statistically analysed. The probes were to a 405 bp region of the relatively conserved N gene. Here we demonstrate a microarray capable of detecting each of the seven lyssavirus genotypes. The random amplification of lyssavirus RNA and the numerous oligonucleotide probes on the microarray chip also offer the potential to detect novel lyssaviruses.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19433118     DOI: 10.1016/j.virusres.2009.04.028

Source DB:  PubMed          Journal:  Virus Res        ISSN: 0168-1702            Impact factor:   3.303


  8 in total

1.  Differentiation of the seven major lyssavirus species by oligonucleotide microarray.

Authors:  Jin Xi; Huancheng Guo; Ye Feng; Yunbin Xu; Mingfu Shao; Nan Su; Jiayu Wan; Jiping Li; Changchun Tu
Journal:  J Clin Microbiol       Date:  2011-12-21       Impact factor: 5.948

2.  Lyssavirus detection and typing using pyrosequencing.

Authors:  Paola De Benedictis; Cristian De Battisti; Laurent Dacheux; Sabrina Marciano; Silvia Ormelli; Angela Salomoni; Silvia Tiozzo Caenazzo; Anthony Lepelletier; Hervé Bourhy; Ilaria Capua; Giovanni Cattoli
Journal:  J Clin Microbiol       Date:  2011-03-09       Impact factor: 5.948

3.  Evaluation of a field-portable DNA microarray platform and nucleic acid amplification strategies for the detection of arboviruses, arthropods, and bloodmeals.

Authors:  Nathan D Grubaugh; Lawrence N Petz; Vanessa R Melanson; Scott S McMenamy; Michael J Turell; Lewis S Long; Sarah E Pisarcik; Ampornpan Kengluecha; Boonsong Jaichapor; Monica L O'Guinn; John S Lee
Journal:  Am J Trop Med Hyg       Date:  2012-12-18       Impact factor: 2.345

Review 4.  More accurate insight into the incidence of human rabies in developing countries through validated laboratory techniques.

Authors:  Laurent Dacheux; Supaporn Wacharapluesadee; Thiravat Hemachudha; François-Xavier Meslin; Philippe Buchy; Jean-Marc Reynes; Hervé Bourhy
Journal:  PLoS Negl Trop Dis       Date:  2010-11-30

5.  Full-length genome sequences of porcine epidemic diarrhoea virus strain CV777; Use of NGS to analyse genomic and sub-genomic RNAs.

Authors:  Thomas Bruun Rasmussen; Maria Beatrice Boniotti; Alice Papetti; Béatrice Grasland; Jean-Pierre Frossard; Akbar Dastjerdi; Marcel Hulst; Dennis Hanke; Anne Pohlmann; Sandra Blome; Wim H M van der Poel; Falko Steinbach; Yannick Blanchard; Antonio Lavazza; Anette Bøtner; Graham J Belsham
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

6.  Development of a DNA-based microarray for the detection of zoonotic pathogens in rodent species.

Authors:  Timothy Giles; Lisa Yon; Freddy de Bree; Alex Bossers; Duncan Hannant; Paul Barrow; Abu-Bakr Abu-Median
Journal:  Mol Cell Probes       Date:  2015-07-15       Impact factor: 2.365

7.  No evidence of enteric viral involvement in the new neonatal porcine diarrhoea syndrome in Danish pigs.

Authors:  N B Goecke; C K Hjulsager; H Kongsted; M Boye; S Rasmussen; F Granberg; T K Fischer; S E Midgley; L D Rasmussen; Ø Angen; J P Nielsen; S E Jorsal; L E Larsen
Journal:  BMC Vet Res       Date:  2017-11-07       Impact factor: 2.741

8.  Ribosomal RNA depletion or exclusion has negligible effect on the detection of viruses in a pan viral microarray.

Authors:  Sarah McGowan; Javier Nunez-Garcia; Falko Steinbach; Anna La Rocca; Damer Blake; Akbar Dastjerdi
Journal:  J Virol Methods       Date:  2014-07-14       Impact factor: 2.014

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.