Project name: Homo sapiens

Description: Sickle cell transcriptome was analyzed using whole blood clinical specimens on the Affymetrix Human Exon 1.0 ST arrays and Illumina’s deep sequencing technologies. Data analysis indicated a strong concordance (R=0.64) between exon array and RNA-seq in both gene level and exon level expression of transcripts. The magnitude of fold changes in the expression levels for the differentially expressed genes (p<0.05) was found to be higher in RNA-seq than microarrays. However, the arrays outperformed the sequencing technology in the detection of low abundant transcripts. In addition to examining the expression level changes of transcripts, RNA-seq technology was able to identify sequence variation in the expressed transcripts. We also demonstrate herein the ability of RNA-seq technology to discover novel expression outside of the annotated genes.Overall design: This Series contains only the Exon array data.10 patients and 10 healthy subjects participated in this study. Gene chip experiments were carreid out on 6 patients and 4 healthy controlsHuman Exon 1.0 ST Arrays

Data type: Transcriptome or Gene expression

Sample scope: Multiisolate

Relevance: Medical

Last updated: 2011-08-30