Mikromacierze DNA

• Authors: Agnieszka Kisiel , Anna Skąpska , Wojciech T. Markiewicz , Marek Figlerowicz

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.

• Journal: Kosmos
• Year: 2004
• Volume: 53
• Issue: 3-4
• Pages: 295-303

Dates

published

2004

Contributors

author

Agnieszka Kisiel

• Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska

author

Anna Skąpska

• Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska

author

Wojciech T. Markiewicz

• Instytut Chemii Bioorganicznej PAN, Noskowskiego 12/14, 61-704 Poznań, Polska

author

Marek Figlerowicz

• 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.