Microarray and Gene-Clustering Analysis

Abstract

Human mast cells are capable of secreting a plethora of inflammatory mediators and cytokines that may play a pivotal role in innate immune and inflammatory responses. Activation of mast cells by antigen and immunoglobulin E (IgE) results in signaling, gene expression, and expression of inflammatory mediators. Although a variety of techniques have been used to evaluate mast cell biology, recent advances in molecular techniques have provided unprecedented tools to study these cells. The complimentary deoxyribonucleic acid (DNA) oligonucleotide microarray, or DNA-chip technology, allows simultaneous monitoring of gene expression, provides a format for identifying genes as well as changes in their activity on a whole genome scale, and potentially offers a global view of pathophysiologic changes. This chapter reviews the use of DNA-chip technology in studying the expression of genes (transcriptional profiling) in activated human mast cells obtained from cultured cord blood-derived mononuclear cells and comments on the use of bioinformatics on analysis of gene expression. The most powerful applications of transcriptional profiling involve identification of the common patterns of gene expression across many experiments using various gene-clustering analyses. Several techniques have been used for the analysis of gene-expression data including hierarchical clustering and self-organizing maps. In this chapter, a general laboratory protocol for array analysis currently being used in our laboratory and the use of bioinformatics is discussed. Although the focus is on Affymetrix oligonucleotide arrays, the techniques described are generally applicable to expression data generated using other array formats.