High throughput analysis of gene expression in the human brain

✍ Scribed by Carlo Colantuoni; Amy E. Purcell; Christopher M.L. Bouton; Jonathan Pevsner

• Publisher: John Wiley and Sons
• Year: 2000
• Tongue: English
• Weight: 93 KB
• Volume: 59
• Category: Article
• ISSN: 0360-4012
• DOI: 10.1002/(sici)1097-4547(20000101)59:1<1::aid-jnr1>3.0.co;2-2

✦ Synopsis

The human brain is thought to have the greatest complexity of gene expression of any region of the body, reflecting the diverse functions of neurons and glia. Studies of gene expression in the human brain may yield fundamental information about the phenotype of brain cells in different stages of development, in different brain regions, and in different physiological and pathological states. As the human genome project nears completion, several technological advances allow the analysis of thousands of expressed genes in a small brain sample. This review describes available sources of human brain material, and several high throughput techniques used to measure the expression of thousands of genes. These techniques include expressed sequence tag (EST) sequencing of cDNA libraries; differential display; subtractive hybridization; serial analysis of gene expression (SAGE); and the emerging technology of high density DNA microarrays. Measurement of gene expression with microarrays and other technologies has potential applications in the study of human brain diseases, including cognitive disorders for which animal models are typically not available. Gene expression measurements may be used to identify genes that are abnormally regulated as a secondary consequence of a disease state, or to identify the response of brain cells to pharmacological treatments.