Affymetrix Research Exon Array Tissue Panel Data
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE5791 | GEO | 2007/01/01
SECONDARY ACCESSION(S): PRJNA97151
REPOSITORIES: GEO
Similar Datasets
Project description:TuBo cell line (E) was compared to passage 1 (P1), 2 (P2) and 3 (P3) mammospheres to detect specific transcription isoforms associated to cancer stem cell. TuBo cell line (E) was compared to passage 1 (P1), 2 (P2) and 3 (P3) mammospheres. Exon-level transcription profiling was done using Affimetrix GeneChip Exon 1.0 ST. Exon-level analysis is more complex than gene-level analysis. The number of probesets to be investigated is at least 10 times larger in number than gene-level probesets. Thus results, upon statistical analysis, are massively contaminated by type I statistical errors, i.e. false positive [Della Beffa et al. 2008]. Furthermore, exon-level probesets are based only on four probes, which makes exon-level signal summarization more noisy than gene-level, where signal summarization is based on the overall probes encompassed by all exons of a gene. To moderate these issues we have expanded the number of experimental replications: six for TuBo and passage 1 mammosphere, four for passage 3 mammosphere and three for passage 2 mammosphere. Furthermore, after data summarization with RMA and normalization with sketch quantile method, alternative splicing detection between epithelial and mammospheres passages, was assessed using MiDAS, a two way anova developed by Affymetrix for the detection of alternative splicing events. We considered suitable for further investigations the splicing events in common between the sets of exons detected as spliced in each of the following comparisons: E vs P1, E vs P2 and E vs P3.
2013-11-30 | E-GEOD-21475 | biostudies-arrayexpress
Project description:In this study we performed a genome wide analysis of the entire complement of mRNAs in clear cell renal cell carcinomas (ccRCC) by means of the Affymetrix Exon Array platform. The analyses were performed both at gene and exon level. Under our parameters over 2,000 genes resulted differentially expressed, and about 250 genes resulted alternative spliced showing differential inclusion of specific cassette exons comparing tumor and non tumoral tissues. 20 total samples were used for exon array analysis: 10 ccRCC tumor sample (T) and their matched non-tumor (NT) kidney tissues samples. All exon array data were analyzed using Partek Genomic Suite 6.4 software (Partek). The robust multi-array average (RMA) algorithm was used for the gene- and exon-level intensity analyses. Data were M-oM-,M-^Altered to consider only those probe sets included in the M-bM-^@M-^\Core Meta-ProbesetM-bM-^@M-^]. Lists of genes and exons with significant variation of the expression levels were generated by using a 0.01 FDR criterion as a significant cutoff. Partek list of significant exon-level probesets (FDR corrected p-value < 0.01) and exon level ANOVA test list were used to create - by an ad hoc Python script - a database of significant probesets from Exon Array experiments. To make more stringent the analysis criteria we excluded from the final exon lists all those cases in which Exon Array revealed a significant change at gene-level. This database we created has been used to explore simple exon skipping events using as reference ASPicDB single exon skipping splicing events after mapping Affymetrix probesets on ASPicDB .gtf files. A single exon from the Partek list was defined significantly skipped only if its adjacent exons were not, by using 0.01 and 0.05 p-value criterions as a significant cutoff for the M-bM-^@M-^\skippedM-bM-^@M-^] and adjacent exons, respectively.
2013-09-06 | E-GEOD-47032 | biostudies-arrayexpress
Project description:Background: Substantial progress has been made in the identification of sequence elements that control mRNA splicing and the genetic variants in these elements that alter mRNA splicing (referred to as splicing quantitative trait loci -- sQTLs). Genetic variants that affect mRNA splicing in trans are harder to identify because their effects can be more subtle and diffuse, and the variants are not co-located with their targets. We carried out a transcriptome-wide analysis of the effects of a mutation in a ubiquitous splicing factor that causes retinitis pigmentosa (RP) on mRNA splicing, using exon microarrays. Results: Exon microarray data was generated from whole blood samples obtained from four individuals with a mutation in the splicing factor PRPF8 and four sibling controls. Although the mutation has no known phenotype in blood, there was evidence of widespread differences in splicing between cases and controls (affecting between 10\% and 25\% of exons). Most probesets with significantly different inclusion (defined as the expression intensity of the exon divided by the expression of the corresponding transcript) between cases and controls had higher inclusion in cases and corresponded to exons that were shorter than average, AT-rich, located towards the 5' end of the gene and flanked by long introns. Introns flanking affected probesets were particularly depleted for the shortest category of introns, associated with splicing via intron definition. Conclusions: Our results show that a mutation in a splicing factor, with a phenotype that is restricted to retinal tissue, acts as a trans-sQTL cluster in whole blood samples. Characteristics of the affected exons suggest that they are spliced co-transcriptionally and via exon definition.
2012-12-25 | GSE43134 | GEO
Project description:We developed a commercially available whole-transcriptome sorghum microarray (Sorgh-WTa520972F) and generated this dataset to identify tissue and genotype-specific expression patterns for all identified Sorghum bicolor exons and UTRs. The genechip contains 1,026,373 probes covering 149,182 exons (27,577 genes) across the Sorghum bicolor nuclear, chloroplast and mitochondrial genomes. Specific probesets were also included for putative non-coding RNAs that may play a role in gene regulation (e.g., microRNAs), and confirmed functional small RNAs in related species (corn and sugarcane) were also included in our array design.
2013-12-31 | GSE49879 | GEO
Project description:Background: Substantial progress has been made in the identification of sequence elements that control mRNA splicing and the genetic variants in these elements that alter mRNA splicing (referred to as splicing quantitative trait loci -- sQTLs). Genetic variants that affect mRNA splicing in trans are harder to identify because their effects can be more subtle and diffuse, and the variants are not co-located with their targets. We carried out a transcriptome-wide analysis of the effects of a mutation in a ubiquitous splicing factor that causes retinitis pigmentosa (RP) on mRNA splicing, using exon microarrays. Results: Exon microarray data was generated from whole blood samples obtained from four individuals with a mutation in the splicing factor PRPF8 and four sibling controls. Although the mutation has no known phenotype in blood, there was evidence of widespread differences in splicing between cases and controls (affecting between 10\% and 25\% of exons). Most probesets with significantly different inclusion (defined as the expression intensity of the exon divided by the expression of the corresponding transcript) between cases and controls had higher inclusion in cases and corresponded to exons that were shorter than average, AT-rich, located towards the 5' end of the gene and flanked by long introns. Introns flanking affected probesets were particularly depleted for the shortest category of introns, associated with splicing via intron definition. Conclusions: Our results show that a mutation in a splicing factor, with a phenotype that is restricted to retinal tissue, acts as a trans-sQTL cluster in whole blood samples. Characteristics of the affected exons suggest that they are spliced co-transcriptionally and via exon definition. Eight samples consisting of four sibling pairs were analysed. One individual in each pair harboured an RP-causing mutation on the PRPF8 gene (cases). Unaffected siblings were used as controls.
2012-12-25 | E-GEOD-43134 | biostudies-arrayexpress
Project description:This study utilise the examination of normal gastro-intestinal tissues to determine a tissue specific signal for use in deriving the intestinal signature of intestinal metaplasias of the oesophagus. Normal oesophageal, colonic and duodenal tissue biopsies were taken after informed consent and RNA was extracted following histological examination of adjacent tissues for normal aperaing mucosa. Three of each tissue type
2013-07-07 | E-GEOD-40220 | biostudies-arrayexpress
Project description:We developed a commercially available whole-transcriptome sorghum microarray (Sorgh-WTa520972F) and generated this dataset to identify tissue and genotype-specific expression patterns for all identified Sorghum bicolor exons and UTRs. The genechip contains 1,026,373 probes covering 149,182 exons (27,577 genes) across the Sorghum bicolor nuclear, chloroplast and mitochondrial genomes. Specific probesets were also included for putative non-coding RNAs that may play a role in gene regulation (e.g., microRNAs), and confirmed functional small RNAs in related species (corn and sugarcane) were also included in our array design. 78 samples were analyzed from four different tissue types (shoot, seedling, leaves and stem), two dissected stem tissues (pith and rind) and six diverse genotypes (PI455230, Atlas, PI152611, AR2400, R159, and Fremont)
2013-12-31 | E-GEOD-49879 | biostudies-arrayexpress
Project description:This study utilise the examination of normal gastro-intestinal tissues to determine a tissue specific signal for use in deriving the intestinal signature of intestinal metaplasias of the oesophagus. Normal oesophageal, colonic and duodenal tissue biopsies were taken after informed consent and RNA was extracted following histological examination of adjacent tissues for normal aperaing mucosa.
2013-07-07 | GSE40220 | GEO
Project description:Alu elements are major contributors to lineage-specific new exons in primate and human genomes. Recent studies indicate that some Alu exons have high transcript inclusion levels or tissue-specific splicing profiles, and may play important regulatory roles in modulating mRNA degradation or translational efficiency. However, the contribution of Alu exons to the human proteome remains unclear and controversial. The prevailing view is that exons derived from young repetitive elements, such as Alu elements, are restricted to regulatory functions and have not had adequate evolutionary time to be incorporated into stable, functional proteins. We adopt a proteotranscriptomics approach to systematically assess the contribution of Alu exons to the human proteome. Using RNA sequencing, ribosome profiling and proteomics data from human tissues and cell lines, we provide evidence for the translational activities of Alu exons and the presence of Alu exon derived peptides in human proteins. These Alu exon peptides represent species-specific protein differences between primates and other mammals, and in certain instances between humans and closely related primates. In the case of the RNA editing enzyme ADARB1, which contains an Alu exon peptide in its catalytic domain, RNA sequencing analyses of A-to-I editing demonstrate that both the Alu exon skipping and inclusion isoforms encode active enzymes. The Alu exon derived peptide may fine tune the overall editing activity and, in limited cases, the site selectivity of ADARB1 protein products. Our data indicate that Alu elements have contributed to the acquisition of novel protein sequences during primate and human evolution.
2015-12-10 | GSE65999 | GEO
Project description:Alu element is a major contributor to lineage-specific new exons in the primate and human genomes. Recent studies indicate that some Alu exons have high transcript inclusion levels or tissue-specific splicing profiles, and may play important regulatory roles in modulating mRNA degradation or translational efficiency. However, the contribution of Alu exons to the human proteome remains unclear and controversial. The prevailing view is that exons derived from young repetitive elements (such as Alu) are restricted to regulatory functions but do not have adequate evolutionary time to be incorporated into stable, functional proteins. In this work, we adopt a proteotranscriptomics approach to systematically assess the contribution of Alu exons to the human proteome. Using RNA sequencing, ribosome profiling, and mass spectrometry data of diverse human tissues and cell lines, we provide evidence for the translational activities of Alu exons and the presence of Alu exon derived peptides in human proteins. These Alu exon peptides represent species-specific protein differences between primates and other mammals, and in certain instances even between humans and closely related nonhuman primates. In the RNA editing enzyme ADARB1, which contains an Alu exon peptide in its catalytic domain, RNA editing analyses of RNA-sequencing data demonstrate that both the Alu exon skipping and inclusion isoforms encode active RNA editing enzymes, while the Alu exon peptide may fine tune the editing activities of the ADARB1 protein products . Together, our data indicate that Alu elements have contributed to the acquisition of novel protein sequences during primate and human evolution. Comparing the A-I RNA editing levels during HEK293 (control), ADARB1 long isoform (with Alu exon) transfected, and short isoform (without Alu exon) transfected cells, each group has 3 replicates.
2015-12-10 | E-GEOD-65999 | biostudies-arrayexpress