PL EN


Preferences help
enabled [disable] Abstract
Number of results
Journal
2004 | 53 | 3-4 | 295-303
Article title

Mikromacierze DNA

Content
Title variants
EN
DNA microarrays
Languages of publication
PL EN
Abstracts
EN
Summary The breakthrough in DNA sequencing technology and completion of sequencing of first eucaryotic genomes raised the need for high-throughput methods of gene function analysis. To solve this problem the DNA microarray technology has been developed. It is based on traditional transcript profiling methods which use the hybridization ability of DNA and RNA to monitor gene expression. Due to miniaturisation and the use of fluorescent dyes DNA microarrays allow for simultaneous monitoring of the expression of tens of thousands genes. There are two main types of DNA microarrays: cDNA microarrays and oligonucleotide microarrays, also called DNA chips. In the former, several- hundred-nucleotide long cDNA probes are printed on a glass plate and hybridized to a fluorescently labeled target cDNA obtained from the tissue of interest. In the latter, type of microarrays, each gene is represented by several short oligonucleotides (about 30 nt), perfectly matching the target gene, and several oligomers with a single mismatch. Oligonucleotides are usually synthetised on a glass slide using the photolithographic technique and the slide is hybridized to fluorescently labeled target RNA. Analysis ofmicroarray data includes the comparison of gene expression in the experimental and control probes or the comparison of gene expression profiles obtained in several experiments, by different clustering methods. Medicine is one of the fields where DNA microarrays have already found practical application. At present they are especially useful in cancer research. DNA microarray analysis of tumor tissues allows to differentiate among various cancer types, to prognose the illness progress and plan the therapy. DNA microarrays are also an irreplaceable tool in a search for new drugs.
Keywords
Journal
Year
Volume
53
Issue
3-4
Pages
295-303
Physical description
Dates
published
2004
Contributors
  • Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska
author
  • Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska
  • Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska
  • Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska
References
  • AHARONI A., VORST O., 2002. DNAmicroarrays for functional plant genomics. PlantMol. Biol. 48, 99-118.
  • AITMAN T. J., 2001. DNAmicroarrays in medical practice. BMJ 323, 611-615.
  • BROWN P. O., BOTSTEIN D., 1999. Exploring the new world of the genome with DNA microarrays. Nat. Genet. Suppl. 21, 33-37.
  • DUGGAN D. J., BITTNER M., CHEN Y., MELTZER P., TRENT J. M., 1999. Expression profiling using cDNA microarrays. Nat. Genet. Suppl. 21, 10-14.
  • EISEN M. B., SPELLMAN P. T., BROWN P. O., BOTSTEIN D., 1998. Cluster analysis and display of genomewide expression patterns. Proc. Natl. Acad. Sci. USA 95, 14863-14868.
  • GOLUB T. R., SLONIM D. K., TAMAYO P., HUARD C., GAASENBEEK M., MESIROV J. P., et al., 1999. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286, 531-537.
  • HARRINGTON CH. A., ROSENOW C., RETIEF J., 2000. Monitoring gene expression using DNA microarrays. Curr. Opin. Microbiol. 3, 285-291.
  • HUNT S. P., LIVESEY F. J. (red.), 2000. Functional Genomics. Oxford University Press, Avon.
  • JORDAN B. R. (red.), 2001. DNA Microarray: Gene Expression Applications. Springer, Heidelberg.
  • MAcGREGOR P. F., SQUIRE J. A., 2002. Application of Microarrays to the Analysis of Gene Expression in Cancer. Clin. Chem. 48, 1170-1177.
  • NAGAHATA T., ONDA M., EMI M., NAGAI H., TSUMAGARI K., FUJIMOTO T., HIRANO A., SATO T., NISHIKAWA K., AKIYAMA F., SAKAMOTO G., KASUMI F., MIKI Y., TANAKA T., TSUNODA T. 2004. Expression profiling to predict postoperative prognosis for estrogen receptor-negative breast cancers by analysis of 25,344 genes on a cDNAmicroarray. Cancer Sci. 95, 218-225.
  • QUACKENBUSH J., 2001. Computational analysis of microarray data. Nat. Rev. Genet. 2, 418-427.
  • VRANA K. E., FREEMAN W. M., ASCHNER M., 2003. Use of Microarray Technologies in Toxicology Research. Neuro Toxicol. 24, 321-332.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-ksv53p295kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.