A Systematic Comparison and Evaluation of High Density Exon Arrays and RNA-seq technology in Unraveling the Peripheral Blood Transcriptome of Sickle Cell Disease.
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ABSTRACT: 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. 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 controls Human Exon 1.0 ST Arrays
Project 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.
Project description:We compared the whole mRNA transcript expression from control and homozygous mutant Dhx32 mice by Affymetrix Mouse Exon ST 1.0 Array ST to identify alternatively spliced mRNA transcripts We include exon level expression data from the liver of three control and three Dhx32 homozygous mutant mice
Project description:Gene-level expression profiles of 7 Aip knock-out (triplicates from each) and 9 Aip wild-type mouse embryonic fibroblast cell lines were studied using Affymetrix GeneChip Mouse Exon 1.0 ST Arrays
Project description:By the use of whole genome transcription analysis, we aimed to develop a gene expression classifier to increase the likelihood of identifying stage II colorectal cancer (CRC) samples with a poor prognostic outcome. Gene expression measurement were measured by the GeneChip® Human Exon 1.0 ST Arrays from Affymetrix. We analyzed genome-wide expression at the gene-level for an independent series of colorectal cancer tissue biopsies using the Affymetrix Human Exon 1.0 ST platform.
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de.
Project description:The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de.
Project description:The Affymetrix Human Exon 1.0 ST array was used to measure differential splicing patterns in archived RNA isolated from 26 of 80 children (11 Rejectors and 15 Non-Rejectors). The exon-level probe summaries reported in this series were computed using the Affymetrix Power Tools (APT) software and 'rma-sketch' normalization method. Keywords: Affymetrix 1.0 ST exon array; exon-level analysis
Project description:The U2 snRNA is a basal component of the major spliceosome, which is responsible for >90% human pre-mRNA splicing. A 5-nucleotide deletion in one of the mouse U2 snRNA genes (Rnu2-8) causes cerebellar granule cell degeneration in the NMF291 mouse mutant strain. To identify the altered transcripts in the NMF291–/– cerebellum, we interograted Affy. mouse 1.0 ST Exon arrays with total RNAs from three postnatal-30-day (P30) wild type and three NMF291–/– cerebella. Affy. mouse 1.0 ST Exon arrays were hybridized with total RNAs derived from three P30 female wild type and NMF291–/– mice (biological replicates).
Project description:This SuperSeries is composed of the following subset Series: GSE15626: Using high-density exon arrays to profile gene expression in closely related species (Exon 1.0 ST) GSE15665: Using high-density exon arrays to profile gene expression in closely related species (HJAY) Refer to individual Series