Literature DB >> 23219893

Resequencing microarray method for molecular diagnosis of human arboviral diseases.

N Berthet1, S Paulous, L L Coffey, M P Frenkiel, I Moltini, C Tran, S Matheus, C Ottone, M N Ungeheuer, C Renaudat, V Caro, P Dussart, A Gessain, P Desprès.   

Abstract

BACKGROUND: Resequencing DNA microarray (RMA) technology uses probes designed to identify a panel of viral sequences. It can be used for detecting emerging viruses by revealing the nucleotide polymorphisms within the target of interest. OBJECTIVES/STUDY
DESIGN: As a new tool for molecular diagnosis of arbovirus infection, high density PathogenID v2.0 RMA (PID2-RMA) was assessed for the detection and genetic analysis of dengue, West Nile, and Chikungunya viruses in spiked blood samples or sera from individuals infected with dengue virus. Viral RNAs extracted from biological samples were retrotranscribed into cDNA and amplified using the Phi 29 polymerase-based method. This amplified cDNA was used for hybridization on PID2-RMA.
RESULTS: A good specificity of RMA-based detection was demonstrated using a panel of arboviruses including Dengue, West Nile and Chikungunya viruses. This technology was also efficient for the detection and genetic analysis of the different serotypes of dengue virus in sera of infected patients. Furthermore, the mixing of dengue, West Nile and Chikungunya prototype viruses within a single sample of human blood did not interfere with the sensitivity of PID2-RMA.
CONCLUSIONS: Our data show that high density PID2-RMA was suitable for the identification of medically important arboviruses. It appears to be particularly adapted to the genetic analysis of dengue, West Nile, and Chikungunya viruses in urgent clinical situations where the rapid identification and characterization of the pathogen is essential.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23219893     DOI: 10.1016/j.jcv.2012.10.022

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  7 in total

1.  Resequencing microarray technology for genotyping human papillomavirus in cervical smears.

Authors:  Nicolas Berthet; Michael Falguières; Claudia Filippone; Chloé Bertolus; Christine Bole-Feysot; Sylvain Brisse; Antoine Gessain; Isabelle Heard; Michel Favre
Journal:  PLoS One       Date:  2014-11-10       Impact factor: 3.240

2.  Rift Valley Fever Virus Circulating among Ruminants, Mosquitoes and Humans in the Central African Republic.

Authors:  Emmanuel Nakouné; Basile Kamgang; Nicolas Berthet; Alexandre Manirakiza; Mirdad Kazanji
Journal:  PLoS Negl Trop Dis       Date:  2016-10-19

3.  Development of a Feature and Template-Assisted Assembler and Application to the Analysis of a Foot-and-Mouth Disease Virus Genotyping Microarray.

Authors:  Roger W Barrette; Jessica M Rowland; Frederic R Grau; Michael T McIntosh
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

4.  Tracking ebolavirus genomic drift with a resequencing microarray.

Authors:  Irina Tiper; Moussa Kourout; Carolyn Fisher; Krishnamurthy Konduru; Anjan Purkayastha; Gerardo Kaplan; Robert Duncan
Journal:  PLoS One       Date:  2022-02-10       Impact factor: 3.240

5.  Recent molecular techniques for the diagnosis of Zika and Chikungunya infections: A systematic review.

Authors:  María C Cardona-Trujillo; Tatiana Ocampo-Cárdenas; Fredy A Tabares-Villa; Augusto Zuluaga-Vélez; Juan C Sepúlveda-Arias
Journal:  Heliyon       Date:  2022-08-13

6.  Multi-gene detection and identification of mosquito-borne RNA viruses using an oligonucleotide microarray.

Authors:  Nathan D Grubaugh; Scott S McMenamy; Michael J Turell; John S Lee
Journal:  PLoS Negl Trop Dis       Date:  2013-08-15

7.  The microbial detection array for detection of emerging viruses in clinical samples--a useful panmicrobial diagnostic tool.

Authors:  Maiken W Rosenstierne; Kevin S McLoughlin; Majken Lindholm Olesen; Anna Papa; Shea N Gardner; Olivier Engler; Sebastien Plumet; Ali Mirazimi; Manfred Weidmann; Matthias Niedrig; Anders Fomsgaard; Lena Erlandsson
Journal:  PLoS One       Date:  2014-06-25       Impact factor: 3.240

  7 in total

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