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2010 | 66 | 01 |

Tytuł artykułu

Mikromacierze DNA - nowe narzedzie biologii molekularnej

Warianty tytułu

EN
DNA microarrays - a new tool of molecular biology

Języki publikacji

PL

Abstrakty

EN
DNA microarrays is a method used for the determination of gene expression level, detection of single nucleotide polymorphism (SNP) and quantification of the exact number of viral gene copies per one cell. The technique has a broad application in studies on tumorous diseases of humans and animals. Microarrays are also applied in studies of drug influence on the cell metabolism and the molecular silencing of genes. The main advantage of DNA and protein microarrays is the possibility to analyse a number of complex cellular processes in progress of a tumoral disease during a single run of analysis. In the case of a tumorous disease the microarray technique makes it possible to quickly identify the main genes responsible for the oncogenesis and to determine the type of the disease. In spite of a high costs of microarray production as well as the need to synthesize probes and substrates for specific analyses, microarrays become increasingly popular in numerous research laboratories.

Wydawca

-

Rocznik

Tom

66

Numer

01

Opis fizyczny

s.13-16,bibliogr.

Twórcy

  • Panstwowy Instytut Weterynaryjny - Panstwowy Instytut Badawczy, Al.Partyzantow 57, 24-100 Pulawy

Bibliografia

  • 1.Bodrossy L., Sessitsch A.: Oligonucleotide microarrays in microbial diagnostics: Ecology and industrial Microbiology. Curr. Biol. 2004, 7, 245-254.
  • 2.Brown P. O., Botstein D.: Exploring the new world of the genome with DNA microarrays. Nat. Genet. 1999, 21, 33-37.
  • 3.Burt D. W.: The chicken genome and the developmental biologist. Mech. Dev. 2004, 121, 1129-1135.
  • 4.Cogburn L. A., Wang X., Carre W., Rejto L., Porter T. E., Aggrey S. E., Simon J.: Systems-wide chicken DNA microarrays, gene expression profiling, and discovery of functional genes. Poult. Sci. 2003, 82, 939-951.
  • 5.Cui J., Sofer L., Cloud S. S., Burnside J.: Patterns of gene expression in the developing chicken thymus. Dev. Dyn. 2004, 229, 480-488.
  • 6.Cussenot O.: DNA microarrays in clinical practice: present or future? Eur. J. Intern. Med. 2002, 13, 225-226.
  • 7.Gillet J. P., Efferth T., Steinbach D., Hamels J., Longueville F., Bertholet V., Remacle J.: Microarray-based detection of multidrug resistance in human tumor cells by expression profiling of ATP-binding cassette transporter genes. Cancer Res. 2004, 64, 8987-8993.
  • 8.Habeck M.: DNA microarray technology to revolutionise cancer treatment. Lancet Oncol. 2001, 2, 5.
  • 9.Häbig K., Walter M., Poths S., Riess O., Bonin M.: RNA interference of LRRK2-microarray expression analysis of a Parkinson's disease key player. Neurogenetics 2008, 9, 83-94.
  • 10.Hillier L. W., Miller W., Birney E., Warren W., Hardison R. C.: Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature 2004, 432, 695-716.
  • 11.Jalving R., van't Slot R., van Oost B. A.: Chicken single nucleotide polymorphism identification and selection for genetic mapping. Poult. Sci. 2004, 83, 1925-1931.
  • 12.Jiang H. Y., Zhang X. F., Liu L., Li H. L., Zhao T.: A novel tissue array technique for high-throughput tissue microarray analysis - microarray groups. In Vitro Cell. Dev. Biol. Anim. 2007, 43, 109-112.
  • 13.Kanai Y.: Overexpression of HDACs: a prognostic marker for gastriccancer identified by tissue microarray. Lancet 2009, 9, 91-93.
  • 14.Karaca G., Anobile J., Downs D., Burnside J., Schmidt C. J.: Herpes virus of turkeys: microarray analysis of host gene responses to infection. Virology 2004, 318, 102-111.
  • 15.Liu C. H., Cheng H. H., Tirunagaru V., Sofer L., Burnside J.: A strategy to identify positional candidate genes conferring Marek’s disease resistance by integrating DNA microarrays and genetic mapping. Anim. Genet. 2001, 32, 351-359.
  • 16.Morgan R. W., Sofer L., Anderson A. S., Bernberg E. L., Cui J., Burnside J.: Induction of host gene expression following infection of chicken embryo fibroblasts with oncogenic Marek's disease virus. J. Virol. 2001, 75, 533-539.
  • 17.Ørntoft T. F.: Using microarrays and functional genomics to understand target cancer. NanoBiotechnol. 2005, 1, 255-266.
  • 18.Sánchez-Carbayo M.: Use of high-throughput DNA microarrays to identify biomarkers for bladder cancer. Clin. Chem. 2003, 49, 23-31.
  • 19.Schena M., Shalon D., Davis R. W., Brown P. O.: Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 1995, 270, 467-470.
  • 20.Shena M.: Microarray Analysis. John Wiley&Sons Publication Inc, New Jersey, USA 2003, s. 1-23, 121-154, 159-194, 198-249.
  • 21.Shi M., Ma S.: Identifying subset of genes that have influential impactson cancer progression: a new approach to analyze cancer microarray data. Funct. Integr. Genomics 2008, 8, 361-373.
  • 22.Velculescu V. E., Zhang L., Vogelstein B., Kinzler K. W.: Serial analysis of gene expression. Science 1995, 270, 484-487.
  • 23.Venkatasubbarao S.: Microarrays – status and prospects. Trends Biotechnol. 2004, 22, 630-637.
  • 24.Wang D., Coscoy L., Zylberberg M., Avila P. C., Homer A., Boushey H. A., Ganem D., DeRisi J. L.: Microarray-based detection and genotyping of viral pathogen. PNAS 2002, 99, 15687-15692.
  • 25.Winegarden N.: Microarrays in cancer: moving from hype to clinical reality. Lancet 2003, 362, 1428-1428.
  • 26.Welford S. M., Gregg J., Chen E., Garrison D., Sorensen P. H., Denny C. T., Nelson S. F.: Detection of differentially expressed genes in primary tumor tissues using representational differences analysis coupled to microarray hybridization. Nucl. Acids Res. 1998, 26, 3059-3065.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-7b20ab11-cdd3-407b-8a54-267a2b8b1851
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