Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Transcript copy number estimation using a mouse whole-genome oligonucleotide microarray. | Method Open Access Transcript copy number estimation using a mouse whole-genome oligonucleotide microarray Mark G Carter Alexei A Sharov Vincent VanBuren Dawood B Dudekula Condie E CarmacU Charlie Nelson and Minoru SH Ko Addresses Developmental Genomics and Aging Section Laboratory of Genetics National Institute on Aging National Institutes of Health 333 Cassell Drive Baltimore MD 21224 USA. ÝAgilent Technologies Deer Creek Rd Palo Alto CA 94304 USA. Correspondence Minoru SH Ko. E-mail kom@ Published 30 June 2005 Genome Biology 2005 6 R61 doi 186 gb-2005-6-7-r61 The electronic version of this article is the complete one and can be found online at http 2005 6 7 R61 Received 31 December 2004 Revised 27 April 2005 Accepted 25 May 2005 2005 Carter et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permitsunrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract The ability to quantitatively measure the expression of all genes in a given tissue or cell with a single assay is an exciting promise of gene-expression profiling technology. An in situ-synthesized 60-mer oligonucleotide microarray designed to detect transcripts from all mouse genes was validated as well as a set of exogenous RNA controls derived from the yeast genome made freely available without restriction which allow quantitative estimation of absolute endogenous transcript abundance. Background One of the most tantalizing promises of gene-expression profiling technology has been to develop assays that measure expression of all genes in a given species 1 . This is especially important for the mouse which is a standard model for various human diseases. The early and rapid development of murine bioinformatics resources such as the draft genome assembly 2 and numerous expressed sequence
