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Review
. 2003 Jun;89(6):597-604.
doi: 10.1136/heart.89.6.597.

Microarray analysis: a novel research tool for cardiovascular scientists and physicians

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Review

Microarray analysis: a novel research tool for cardiovascular scientists and physicians

C Napoli et al. Heart. 2003 Jun.

Abstract

The massive increase in information on the human DNA sequence and the development of new technologies will have a profound impact on the diagnosis and treatment of cardiovascular diseases. The microarray is a micro-hybridisation based assay. The filter, called microchip or chip, is a special kind of membrane in which are spotted several thousands of oligonucleotides of cDNA fragments coding for known genes or expressed sequence tags. The resulting hybridisation signal on the chip is analysed by a fluorescent scanner and processed with a software package utilising the information on the oligonucleotide or cDNA map of the chip to generate a list of relative gene expression. Microarray technology can be used for many different purposes, most prominently to measure differential gene expression, variations in gene sequence (by analysing the genome of mutant phenotypes), or more recently, the entire binding site for transcription factors. Measurements of gene expression have the advantage of providing all available sequence information for any given experimental design and data interpretation in pursuit of biological understanding. This research tool will contribute to radically changing our understanding of cardiovascular diseases.

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Figures

Figure 1
Figure 1
The stages of a typical microarray experiment, divided into different steps: (1) preparation of probe from different sources; (2) labelling the probe; (3) hybridisation to microchip filter; (4) hybridisation of positive signals that appear as variation of signal intensity and/or colour; (5) transformation of these signals into a list of up- or downregulated genes.
Figure 2
Figure 2
Flow chart showing issues that need to be addressed during the design of microarray experiments. Topics are divided in four groups: (1) availability of computers; (2) costs, samples size, and replicates; (3) verification of the probe quality; and (4) statistical analysis of results.

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