Literature DB >> 17021105

Genotyping of measles virus in clinical specimens on the basis of oligonucleotide microarray hybridization patterns.

Alexander A Neverov1, Michaela A Riddell, William J Moss, Dmitriy V Volokhov, Paul A Rota, Luis E Lowe, Doris Chibo, Sheilagh B Smit, Diane E Griffin, Konstantin M Chumakov, Vladimir E Chizhikov.   

Abstract

An oligonucleotide microarray hybridization method for identification of most known measles virus (MV) genotypes was developed. Like the conventional genotyping method, the microarray relied on detecting sequence differences in the 450-nucleotide region coding for the COOH-terminal 150 amino acids of the nucleoprotein (N). This region was amplified using PCR primers binding to all known MV genotypes. The microarray included 71 pairs of oligonucleotide probes (oligoprobes) immobilized on glass slides. Each pair consisted of a genotype-specific oligoprobe, which matched the sequence of only one target genotype, and a control oligoprobe, which contained mismatches at the nucleotide positions unique to this genotype. A pattern recognition algorithm based on cluster analysis of the ratios of hybridization signals from specific and control oligoprobes was used to identify the specific MV genotype. Following the initial validation, the method was used for rapid genotyping of two panels of coded samples. The results of this study showed good sensitivity (90.7%), specificity (100%), and genotype agreement (91.8%) for the new method compared to the results of genotyping conducted using phylogenetic analysis of viral sequences of the C terminus of the N gene. In addition, the microarray demonstrated the ability to identify potential new genotypes of MV based on the similarity of their hybridization patterns with those of known MV genotypes.

Entities:  

Mesh:

Year:  2006        PMID: 17021105      PMCID: PMC1594792          DOI: 10.1128/JCM.00998-06

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  37 in total

1.  Global measles and rubella laboratory network--update.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2005-11-04

2.  Expanded Programme on Immunization (EPI). Standardization of the nomenclature for describing the genetic characteristics of wild-type measles viruses.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  1998-08-28

Review 3.  [Algorithms for constructing phylogenetic trees of maximum topological similarity].

Authors:  S V Iushmanov; K M Chumakov
Journal:  Mol Gen Mikrobiol Virusol       Date:  1988-03

4.  Measles virus genotype B2 is not inactive: evidence of continued circulation in Africa.

Authors:  Sheilagh B Smit; Diana Hardie; Caroline T Tiemessen
Journal:  J Med Virol       Date:  2005-12       Impact factor: 2.327

5.  DNA microarrays for virus detection in cases of central nervous system infection.

Authors:  Yury S Boriskin; Philip S Rice; Richard A Stabler; Jason Hinds; Hasan Al-Ghusein; Keith Vass; Philip D Butcher
Journal:  J Clin Microbiol       Date:  2004-12       Impact factor: 5.948

6.  Rapid identification of measles virus strains by the heteroduplex mobility assay.

Authors:  S Kreis; T Whistler
Journal:  Virus Res       Date:  1997-02       Impact factor: 3.303

7.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

8.  A simple method for genetic differentiation of the AIK-C vaccine strain from wild strains of measles virus.

Authors:  T Mori
Journal:  Biologicals       Date:  1994-06       Impact factor: 1.856

Review 9.  Genetic diversity of wild-type measles viruses: implications for global measles elimination programs.

Authors:  W J Bellini; P A Rota
Journal:  Emerg Infect Dis       Date:  1998 Jan-Mar       Impact factor: 6.883

10.  SNP identification in unamplified human genomic DNA with gold nanoparticle probes.

Authors:  Y Paul Bao; Martin Huber; Tai-Fen Wei; Sudhakar S Marla; James J Storhoff; Uwe R Müller
Journal:  Nucleic Acids Res       Date:  2005-01-19       Impact factor: 16.971

View more
  7 in total

1.  Development and validation of DNA microarray for genotyping group A rotavirus VP4 (P[4], P[6], P[8], P[9], and P[14]) and VP7 (G1 to G6, G8 to G10, and G12) genes.

Authors:  Shinjiro Honma; Vladimir Chizhikov; Norma Santos; Masatoshi Tatsumi; Maria do Carmo S T Timenetsky; Alexandre C Linhares; Joana D'Arc P Mascarenhas; Hiroshi Ushijima; George E Armah; Jon R Gentsch; Yasutaka Hoshino
Journal:  J Clin Microbiol       Date:  2007-06-13       Impact factor: 5.948

2.  Genotyping human papillomaviruses: development and evaluation of a comprehensive DNA microarray.

Authors:  Jane Shen-Gunther; Jennifer Rebeles
Journal:  Gynecol Oncol       Date:  2012-11-28       Impact factor: 5.482

3.  Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm.

Authors:  India Leclercq; Nicolas Berthet; Christophe Batéjat; Claudine Rousseaux; Philip Dickinson; Iain G Old; Katherine Kong; Giulia C Kennedy; Stewart T Cole; Jean-Claude Manuguerra
Journal:  BMC Genomics       Date:  2010-10-20       Impact factor: 3.969

4.  Universal oligonucleotide microarray for sub-typing of Influenza A virus.

Authors:  Vladimir A Ryabinin; Elena V Kostina; Galiya A Maksakova; Alexander A Neverov; Konstantin M Chumakov; Alexander N Sinyakov
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

5.  Detection and identification of common food-borne viruses with a tiling microarray.

Authors:  Haifeng Chen; Mark Mammel; Mike Kulka; Isha Patel; Scott Jackson; Biswendu B Goswami
Journal:  Open Virol J       Date:  2011-05-16

Review 6.  Microarrays in infection and immunity.

Authors:  Jennifer A Maynard; Ryan Myhre; Benjamin Roy
Journal:  Curr Opin Chem Biol       Date:  2007-05-17       Impact factor: 8.822

7.  Development and Assessment of a Diagnostic DNA Oligonucleotide Microarray for Detection and Typing of Meningitis-Associated Bacterial Species.

Authors:  Stephanie A Bannister; Stephen P Kidd; Elizabeth Kirby; Sonal Shah; Anvy Thomas; Richard Vipond; Michael J Elmore; Andrew Telfer Brunton; Peter Marsh; Steve Green; Nigel J Silman; Karen E Kempsell
Journal:  High Throughput       Date:  2018-10-16
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.