Literature DB >> 20592156

Evaluation of one- and two-color gene expression arrays for microbial comparative genome hybridization analyses in routine applications.

Roland Schwarz1, Biju Joseph, Gabriele Gerlach, Anja Schramm-Glück, Kathrin Engelhard, Matthias Frosch, Tobias Müller, Christoph Schoen.   

Abstract

DNA microarray technology has already revolutionized basic research in infectious diseases, and whole-genome sequencing efforts have allowed for the fabrication of tailor-made spotted microarrays for an increasing number of bacterial pathogens. However, the application of microarrays in diagnostic microbiology is currently hampered by the high costs associated with microarray experiments and the specialized equipment needed. Here, we show that a thorough bioinformatic postprocessing of the microarray design to reduce the amount of unspecific noise also allows the reliable use of spotted gene expression microarrays for gene content analyses. We further demonstrate that the use of only single-color labeling to halve the costs for dye-labeled nucleotides results in only a moderate decrease in overall specificity and sensitivity. Therefore, gene expression microarrays using only single-color labeling can also reliably be used for gene content analyses, thus reducing the costs for potential routine applications such as genome-based pathogen detection or strain typing.

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Year:  2010        PMID: 20592156      PMCID: PMC2937706          DOI: 10.1128/JCM.00233-10

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


  31 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Variance stabilization applied to microarray data calibration and to the quantification of differential expression.

Authors:  Wolfgang Huber; Anja von Heydebreck; Holger Sültmann; Annemarie Poustka; Martin Vingron
Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

Review 3.  Chips with everything: DNA microarrays in infectious diseases.

Authors:  Penelope A Bryant; Deon Venter; Roy Robins-Browne; Nigel Curtis
Journal:  Lancet Infect Dis       Date:  2004-02       Impact factor: 25.071

Review 4.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

5.  Whole genome comparison of Campylobacter jejuni human isolates using a low-cost microarray reveals extensive genetic diversity.

Authors:  N Dorrell; J A Mangan; K G Laing; J Hinds; D Linton; H Al-Ghusein; B G Barrell; J Parkhill; N G Stoker; A V Karlyshev; P D Butcher; B W Wren
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

6.  Comparative genomics of BCG vaccines by whole-genome DNA microarray.

Authors:  M A Behr; M A Wilson; W P Gill; H Salamon; G K Schoolnik; S Rane; P M Small
Journal:  Science       Date:  1999-05-28       Impact factor: 47.728

7.  Identification of rifampin-resistant Mycobacterium tuberculosis strains by hybridization, PCR, and ligase detection reaction on oligonucleotide microchips.

Authors:  V Mikhailovich; S Lapa; D Gryadunov; A Sobolev; B Strizhkov; N Chernyh; O Skotnikova; O Irtuganova; A Moroz; V Litvinov; M Vladimirskii; M Perelman; L Chernousova; V Erokhin; A Zasedatelev; A Mirzabekov
Journal:  J Clin Microbiol       Date:  2001-07       Impact factor: 5.948

8.  Microarray-based identification of thermophilic Campylobacter jejuni, C. coli, C. lari, and C. upsaliensis.

Authors:  Dmitriy Volokhov; Vladimir Chizhikov; Konstantin Chumakov; Avraham Rasooly
Journal:  J Clin Microbiol       Date:  2003-09       Impact factor: 5.948

9.  Quantitative oligonucleotide microarray fingerprinting of Salmonella enterica isolates.

Authors:  Alan Willse; Timothy M Straub; Sharon C Wunschel; Jack A Small; Douglas R Call; Don S Daly; Darrell P Chandler
Journal:  Nucleic Acids Res       Date:  2004-03-22       Impact factor: 16.971

10.  Microarray genomotyping of key experimental strains of Neisseria gonorrhoeae reveals gene complement diversity and five new neisserial genes associated with Minimal Mobile Elements.

Authors:  Lori A S Snyder; John K Davies; Nigel J Saunders
Journal:  BMC Genomics       Date:  2004-04-13       Impact factor: 3.969

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  5 in total

1.  The zinc-responsive regulon of Neisseria meningitidis comprises 17 genes under control of a Zur element.

Authors:  Marie-Christin Pawlik; Kerstin Hubert; Biju Joseph; Heike Claus; Christoph Schoen; Ulrich Vogel
Journal:  J Bacteriol       Date:  2012-10-05       Impact factor: 3.490

2.  Comparative genome biology of a serogroup B carriage and disease strain supports a polygenic nature of meningococcal virulence.

Authors:  Biju Joseph; Susanne Schneiker-Bekel; Anja Schramm-Glück; Jochen Blom; Heike Claus; Burkhard Linke; Roland F Schwarz; Anke Becker; Alexander Goesmann; Matthias Frosch; Christoph Schoen
Journal:  J Bacteriol       Date:  2010-08-13       Impact factor: 3.490

3.  Virulence evolution of the human pathogen Neisseria meningitidis by recombination in the core and accessory genome.

Authors:  Biju Joseph; Roland F Schwarz; Burkhard Linke; Jochen Blom; Anke Becker; Heike Claus; Alexander Goesmann; Matthias Frosch; Tobias Müller; Ulrich Vogel; Christoph Schoen
Journal:  PLoS One       Date:  2011-04-26       Impact factor: 3.240

4.  Transcriptomic buffering of cryptic genetic variation contributes to meningococcal virulence.

Authors:  Biju Joseph Ampattu; Laura Hagmann; Chunguang Liang; Marcus Dittrich; Andreas Schlüter; Jochen Blom; Elizaveta Krol; Alexander Goesmann; Anke Becker; Thomas Dandekar; Tobias Müller; Christoph Schoen
Journal:  BMC Genomics       Date:  2017-04-07       Impact factor: 3.969

5.  Recent advances in molecular technologies and their application in pathogen detection in foods with particular reference to yersinia.

Authors:  Jin Gui; Isha R Patel
Journal:  J Pathog       Date:  2011-10-29
  5 in total

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