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GSE42690
Homo sapiens
19 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
These samples have been analyzed for global alternative splicing variation on exon-level expression data using the FIRMA algorithm. We have identified and described transcriptome instability as a genome-wide, pre-mRNA splicing related characteristic of solid cancers.
Publication Title
Transcriptome instability as a molecular pan-cancer characteristic of carcinomas.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 331 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Transcriptome instability in colorectal cancer identified by exon microarray analyses: Associations with splicing factor expression levels and patient survival.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 165 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). The sample-wise amounts of these alternative splicing scores exceeding a defined threshold (deviating exon usage amounts) were summarized to provide the basis for description of transcriptome instability. This characteristic was shown to be associated with splicing factor expression levels and patient survival in both independent sample series.
Publication Title
Transcriptome instability in colorectal cancer identified by exon microarray analyses: Associations with splicing factor expression levels and patient survival.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 166 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). The sample-wise amounts of these alternative splicing scores exceeding a defined threshold (deviating exon usage amounts) were summarized to provide the basis for description of transcriptome instability. This characteristic was shown to be associated with splicing factor expression levels and patient survival in both independent sample series.
Publication Title
Transcriptome instability in colorectal cancer identified by exon microarray analyses: Associations with splicing factor expression levels and patient survival.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 95 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
This series is part of a larger series (GSE24549) of colorectal cancer tissue samples analyzed for global gene expression. The expression measures were used to develope a gene signature for prediction of prognosis in stage II and III colorectal cancer.
Publication Title
ColoGuideEx: a robust gene classifier specific for stage II colorectal cancer prognosis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 50 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
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.
Publication Title
ColoGuideEx: a robust gene classifier specific for stage II colorectal cancer prognosis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 77 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)
Description
These colorectal cancer (CRC) samples have been analyzed by exon expression profiling to identify genes with overexpression of 3 parts. By characterizing underlying transcript structures of such genes with a combination of rapid amplification of cDNA ends and deep-sequencing (RACE-seq), we identify and describe novel RNA-variants in CRC.
Publication Title
Novel RNA variants in colorectal cancers.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
We have performed post-treatment gene expression profiling of cell lines to analyze response mechanisms to PARP inhibition.
Publication Title
Molecular correlates of sensitivity to PARP inhibition beyond homologous recombination deficiency in pre-clinical models of colorectal cancer point to wild-type TP53 activity.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
To study the effect of miR-130a in prostate cancer, PC3 cells overexpressing miR-130a were analyzed for global gene expression.
Publication Title
Epigenetic disruption of miR-130a promotes prostate cancer by targeting SEC23B and DEPDC1.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 49 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
This work was conducted to identify shared and specific target genes of different ETS transcription factor rearrangements in prostate cancer. Potential target genes were identified by differential gene expression analysis of primary tumor samples with ETS rearrangements, and validated by ETS silencing in prostate cancer cell lines.
Publication Title
Molecular subtyping of primary prostate cancer reveals specific and shared target genes of different ETS rearrangements.
Sample Metadata Fields
Specimen part
View Samples