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Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array)

ABSTRACT: 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.

ORGANISM(S): Mus musculus

PROVIDER: GSE30429 | GEO | 2011/11/28

SECONDARY ACCESSION(S): PRJNA155493

REPOSITORIES: GEO

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Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoEx array)

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.

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Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array)

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Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events

Project description:This SuperSeries is composed of the following subset Series: GSE30429: Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array) GSE32998: Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoEx array) Refer to individual Series

2011-11-28 | E-GEOD-33183 | biostudies-arrayexpress

Project description:Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events

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Mus musculus

Project description:Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array)

| PRJNA155493 | ENA

Mus musculus

Project description:Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoEx array)

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Development of a novel splice array platform and its application in the identification of alternative splice variants

Project description:Changes in alternative splicing are associated with several pathological conditions, including cancer. Microarrays strategies, which allow for the characterization of thousands of alternative splice forms in a single test, can be applied to identify differential alternative splicing events. In this study, a novel splice array platform was developed, including the design of a high-density oligonucleotide array, a labeling procedure, and an algorithm to identify splice events. The array consists of exon probes and thermodynamically balanced junction probes. Suboptimal probes are tagged and considered in the final analysis. An unbiased labeling protocol was developed using random primers. The algorithm used to distinguish changes in expression from changes in splicing was calibrated using internal non-spliced control sequences. The performance of this splice array was first validated with artificial constructs for CDC6, VEGF, and PCBP4 isoforms. The platform was then applied to the analysis of differential splice forms for 8000 genes in lung cancer samples compared to matched normal lung tissue. The expression of lung cancer-associated splice isoforms was validated by RT-PCR. Overexpression of splice isoforms was identified for genes encoding CEACAM1, FHL-1, MLPH, and SUSD2. None of these splicing isoforms had been previously associated with lung cancer. In conclusion, this highly accurate methodology enables the detection of alternative splicing events in complex biological samples, providing a powerful tool to identify novel diagnostic and prognostic biomarkers for cancer and other pathologies. 20 normal/tumor paired specimens. Tumor samples are from non-small cell lung cancer (NSCLC) whereas normals are from adjacent normal lung tissue.

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Project description:Alternative splicing of pre-mRNAs increases the potential for regulation and complexity of gene expression. The exon junction complex (EJC) and its associated splicing factor RNPS1 were recently shown to suppress mis-splicing resulting from the usage of cryptic and reconstituted 5’ and 3’ splice sites in the vicinity of the EJC. Here, we aimed to further investigate the mechanisms underlying splicing regulation by RNPS1. A transcriptome-wide analysis identified hundreds of splice events affected by the knockdown (KD) of RNPS1 in HeLa cells. These included alternative splice site usage as well as intron retention, exon skipping and inclusion. However, only a fraction of these RNPS1-dependent splice events was fully or partially rescued by the expression of the RNPS1 RRM. These results indicated that another domain of RNPS1 is involved in the regulation of the majority of splicing events. Deletion experiments revealed that the N-terminus and S-domain, and in particular the C-terminus of RNPS1 strongly regulate these events. Several splicing factors, including SR proteins and U1 snRNP components, were strongly reduced in the interactome of RNPS1 lacking the C terminus. We conclude that RNPS1 interacts with many splicing factors to direct the assembly of EJC-dependent and-independent splicing complexes.

2022-05-31 | PXD027251 | Pride

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