Literature DB >> 14871635

Chips with everything: DNA microarrays in infectious diseases.

Penelope A Bryant1, Deon Venter, Roy Robins-Browne, Nigel Curtis.   

Abstract

Two developments are set to revolutionise research in and clinical management of infectious diseases. First, the completion of the human genome project together with the sequencing of many pathogen genomes, and second, the development of microarray technology. This review explains the principles underlying DNA microarrays and highlights the uses to which they are being put to investigate the molecular basis of infectious diseases. Pathogen studies enable identification of both known and novel organisms, understanding of genetic evolution, and investigation of determinants of pathogenicity. Host studies show the complexities of development and activation of both innate and adaptive immunity. Host-pathogen studies allow global analysis of gene expression during pathogenesis. Microarray technology will accelerate our understanding of the complex genetic processes underlying the interaction between microorganisms and the host, with consequent improvements in the diagnosis, treatment, and prevention of infectious diseases.

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Year:  2004        PMID: 14871635     DOI: 10.1016/S1473-3099(04)00930-2

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  61 in total

1.  Simple PCR-based DNA microarray system to identify human pathogenic fungi in skin.

Authors:  Tomotaka Sato; Atsushi Takayanagi; Keisuke Nagao; Nobuhiro Tomatsu; Toshifumi Fukui; Masahiro Kawaguchi; Jun Kudoh; Masayuki Amagai; Nobuko Yamamoto; Nobuyoshi Shimizu
Journal:  J Clin Microbiol       Date:  2010-04-26       Impact factor: 5.948

2.  A new symbolic representation for the identification of informative genes in replicated microarray experiments.

Authors:  Jeremy D Scheff; Richard R Almon; Debra C DuBois; William J Jusko; Ioannis P Androulakis
Journal:  OMICS       Date:  2010-06

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

Authors:  Roland Schwarz; Biju Joseph; Gabriele Gerlach; Anja Schramm-Glück; Kathrin Engelhard; Matthias Frosch; Tobias Müller; Christoph Schoen
Journal:  J Clin Microbiol       Date:  2010-06-30       Impact factor: 5.948

4.  One test microbial diagnostic microarray for identification of Mycoplasma mycoides subsp. mycoides and other Mycoplasma species.

Authors:  A Tonelli; F Sacchini; I Krasteva; K Zilli; M Scacchia; C Beaurepaire; A Nantel; A Pini
Journal:  Mol Biotechnol       Date:  2012-11       Impact factor: 2.695

5.  Combining multiplex reverse transcription-PCR and a diagnostic microarray to detect and differentiate enterovirus 71 and coxsackievirus A16.

Authors:  Tsan-Chi Chen; Guang-Wu Chen; Chao Agnes Hsiung; Jyh-Yuan Yang; Shin-Ru Shih; Yiu-Kay Lai; Jyh-Lyh Juang
Journal:  J Clin Microbiol       Date:  2006-06       Impact factor: 5.948

Review 6.  [Microarray-based transcriptome analyses in infectious diseases. A new diagnostic method].

Authors:  H Hossain; T Chakraborty
Journal:  Internist (Berl)       Date:  2006-06       Impact factor: 0.743

7.  Photogenerated carbohydrate microarrays.

Authors:  Zhichao Pei; Hui Yu; Matthias Theurer; Annelie Waldén; Peter Nilsson; Mingdi Yan; Olof Ramström
Journal:  Chembiochem       Date:  2007-01-22       Impact factor: 3.164

8.  Human genetic variation altering anthrax toxin sensitivity.

Authors:  Mikhail Martchenko; Sophie I Candille; Hua Tang; Stanley N Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-06       Impact factor: 11.205

Review 9.  RNA profiling in host-pathogen interactions.

Authors:  Simon J Waddell; Philip D Butcher; Neil G Stoker
Journal:  Curr Opin Microbiol       Date:  2007-06-15       Impact factor: 7.934

10.  Staphylococcus aureus colonization related to severity of hand eczema.

Authors:  S Mernelius; E Carlsson; J Henricson; S Löfgren; P-E Lindgren; R Ehricht; S Monecke; A Matussek; C D Anderson
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-05-19       Impact factor: 3.267

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