![]() Microarrays: the use of oligonucleotides and cDNA for the analysis of gene expression. Pharmacogenomics 2004 5: 487–502.īarrett JC, Kawasaki ES. Microarray platforms – comparisons and contrasts. Microarray technology: beyond transcript profiling and genotype analysis. Method for detection of specific RNAs in agarose gels by transfer to diazobenzyloxymethyl-paper and hybridization with DNA probes. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Using oligonucleotide probe arrays to access genetic diversity. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. Moreover, we will discuss the emerging concept of cancer systems biology and novel signature-based drug discovery strategies, which are very important for the development of individualized cancer medicine. We will also consider the current challenges in data analysis and interpretation of genomics studies. The state of the art of cancer gene expression studies regarding tumor development, molecular classification, outcome, and therapeutic response prediction will be addressed. In this chapter, we will introduce the outline of DNA microarray technology and some basic issues related to gene expression microarray-based experiments. A microarray-based experiment generally involves three major components: microarray manufacturing, sample processing, and data analysis, with the goals of identifying differential genes, expression signatures, modules, or networks associated with given pathological changes (Fig. This technology has been widely used in cancer research to better characterize cancer behaviors at mRNA level and to obtain new insights into various stages of carcinogenesis. The advent of microarray technology has enabled scientists to simultaneously investigate the expression of thousands of genes.
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