Microarray Applications in Cancer Research.
- Author:
Il Jin KIM
1
;
Hio Chung KANG
;
Jae Gahb PARK
Author Information
1. Korean Hereditary Tumor Registry, Cancer Research Institute and Cancer Research Center, Seoul National University, Seoul, Korea. park@nccre.kr
- Publication Type:Review
- Keywords:
Oligonucleotide microarrays;
cDNA microarrays;
cancer research;
DNA chip
- MeSH:
Base Sequence;
beta Catenin;
Biomarkers;
Biological Science Disciplines;
Classification;
Gene Expression;
Genes, ras;
Oligonucleotide Array Sequence Analysis
- From:Cancer Research and Treatment
2004;36(4):207-213
- CountryRepublic of Korea
- Language:English
-
Abstract:
DNA microarray technology permits simultaneous analysis of thousands of DNA sequences for genomic research and diagnostics applications. Microarray technology represents the most recent and exciting advance in the application of hybridization-based technology for biological sciences analysis. This review focuses on the classification (oligonucleotide vs. cDNA) and application (mutation-genotyping vs. gene expression) of microarrays. Oligonucleotide microarrays can be used both in mutation-genotyping and gene expression analysis, while cDNA microarrays can only be used in gene expression analysis. We review microarray mutation analysis, including examining the use of three oligonucleotide microarrays developed in our laboratory to determine mutations in RET, beta-catenin and K-ras genes. We also discuss the use of the Affymetrix GeneChip in mutation analysis. We review microarray gene expression analysis, including the classifying of such studies into four categories: class comparison, class prediction, class discovery and identification of biomarkers.
