title: Array-based gene expression profiling to study aging.
abstract: With recent sequencing of the genome and development of high-density array technology, it is now possible to assess global gene expression in cells/tissues by a technique that is sensitive, quantitative, and rapid. Gene expression array technology is extremely useful in studying a complex, multigenetic process, such as aging, where one needs to understand the interaction of a large number of genes. Although the technology holds great promise, it is novel and not yet well-established and there are no widely-accepted standards to guide investigators in the analysis and interpretation of the data obtained. Gene expression array analysis requires strong biostatistical support to minimize false-positives and maximize true-positives in candidate gene identification. It also requires independent validation of the array measurements using other detection methods. Confirmation that differentially expressed (transcribed) genes are reflected by differential expression at the protein level will ultimately be an important measurement. In this review, we focus on the three steps necessary for aging studies when using the gene expression array technology: (1) array hybridization; (2) biostatistical analysis; and (3) array result confirmation. Genes identified by several investigators for their age-associated change using the gene expression array systems are also discussed.
authors.affiliation: Department of Physiology, MSC 7756, The University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900, USA. han@uthscsa.edu
authors.forename: E
authors.initials: E
authors.lastname: Han
authors.forename: S G
authors.initials: SG
authors.lastname: Hilsenbeck
mesh_terms: D000375:Aging / Q000235:genetics*; D000818:Animals; D015870:Gene Expression; D020869:Gene Expression Profiling; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*