E-GEOD-928 - Transcription profiling of human healthy monozygotic twins vs unrelated individuals to understand the genetic basis of variation in gene expression between normal human individuals
Released on 20 August 2008, last updated on 2 May 2014
Natural variation in gene expression among healthy human individuals has been largely unexplored. In order to understand the genetic basis of variation in gene expression between normal human individuals, we need to obtain genome-wide expression data from various populations. Studies in monozygotic twins could enable us to estimate the size of the contribution of genetic and environmental factors to the natural variation in gene expression. In this work, we report the gene expression analysis of 5 pairs of monozygotic twins and 3 unrelated individuals; Normal healthy twin pairs were recruited for the study. Three more normal individuals including two females and one male were recruited. First, labeled products were hybridized with the Affymetrix GeneChip Test3 arrays. If the results were judged satisfactory, hybridization was subsequently carried out with the HG U95A arrays as per manufacturer's instructions. Arrays were hybridized at 45°C for 16 hours. The array was then washed using an automated Gene Chip Fluidics Station 400. After washing, the array was stained with streptavidin-phycoerythrin and scanned with a HP Gene Array Scanner. The data was analyzed using Gene Chip Software for expression analysis (MAS 5). All Gene Chip experiments were performed at the Weizmann Institute of Science, Rehovot, Israel. Following comparisons were carried out.
transcription profiling by array, co-expression, individual comparison, individual genetic characteristics, sex
Assessing natural variations in gene expression in humans by comparing with monozygotic twins using microarrays. Anu Sharma, Vineet K Sharma, Shirley Horn-Saban, Doron Lancet, Srinivasan Ramachandran, Samir K Brahmachari.