Experimental annotation of the human genome using microarray technology

Autor: B. Li, Jason R. King, Greg Schimmack, Paul McDonagh, Matthew J. Marton, Hongyue Dai, Yudong D. He, Stephen W. Scherer, Lani F. Wu, Peter S. Linsley, Pek Yee Lum, Patrick M. Loerch, J. S. Tsang, Philip W. Garrett-engele, P. Cundiff, J. Koch, Michael Ziman, Christopher D. Armour, M. S. Boguski, Thomas R. Ward, Janell M. Schelter, Seve Edwards, Steven J. Altschuler, Eric E. Schadt, Mao Mao, M. Krolewski, John C. Castle, Julja Burchard, Amy Leonardson, Roland Stoughton, John W. Phillips, Daniel D. Shoemaker, Guy Cavet, Miriam Meyer, Matthew J. Kidd
Rok vydání: 2001
Předmět:
Zdroj: Nature. 409(6822)
ISSN: 0028-0836
Popis: The most important product of the sequencing of a genome is a complete, accurate catalogue of genes and their products, primarily messenger RNA transcripts and their cognate proteins. Such a catalogue cannot be constructed by computational annotation alone; it requires experimental validation on a genome scale. Using ‘exon’ and ‘tiling’ arrays fabricated by ink-jet oligonucleotide synthesis, we devised an experimental approach to validate and refine computational gene predictions and define full-length transcripts on the basis of co-regulated expression of their exons. These methods can provide more accurate gene numbers and allow the detection of mRNA splice variants and identification of the tissue- and disease-specific conditions under which genes are expressed. We apply our technique to chromosome 22q under 69 experimental condition pairs, and to the entire human genome under two experimental conditions. We discuss implications for more comprehensive, consistent and reliable genome annotation, more efficient, full-length complementary DNA cloning strategies and application to complex diseases.
Databáze: OpenAIRE