Filters
Technology
Platform
GSE13319
Homo sapiens, Rattus norvegicus
106 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Uterine leiomyomata, or fibroids, are benign tumors of the uterine myometrium that significantly affect up to 30% of reproductive-age women. Despite being the primary cause of hysterectomy in the United States, accounting for up to 200,000 procedures annually, the etiology of leiomyoma remains largely unknown. Due to the lack of an effective medicinal therapy for these tumors, this disease continues to have a tremendous negative impact on womens health. As a basis for understanding leiomyoma pathogenesis and identifying targets for pharmacotherapy, we conducted transcriptional profiling of leiomyoma and unaffected myometrium from humans and Eker rats, the best characterized preclinical model of leiomyoma. A global comparison of mRNA from leiomyoma versus myometrium in human and rat identified a highly significant overlap of dysregulated gene expression in leiomyoma. An unbiased pathway analysis using a method of gene set enrichment based on the Sigpathway algorithm detected the mammalian target of rapamycin (mTOR) pathway as one of the most highly upregulated pathways in both human and rat tumors. Activation of this pathway was confirmed in both human and rat leiomyomata at the protein level via Western. Inhibition of mTOR in female Eker rats with the rapamycin analog WAY-129327 for 2 weeks decreased mTOR signaling and cell proliferation in tumors, and treatment for 4 months significantly decreased tumor incidence, multiplicity and size. These results identify dysregulated mTOR signaling as a component of leiomyoma etiology across species and directly demonstrate the dependence of these tumors on mTOR signaling for growth in the Eker rat. Modulation of this pathway warrants additional investigation as a potential therapy for uterine leiomyoma.
Publication Title
Comparison of human and rat uterine leiomyomata: identification of a dysregulated mammalian target of rapamycin pathway.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 35 Downloadable Samples
Illumina HiSeq 2000
Description
Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived brain transcriptome profiling (RNA-seq) in neuropathic region specific Gaucher mouse brain compared with WT and Isofagamine treated mice of the same age and background and secondly to identify the DEmiRNA associated with the DEmRNA before and after treatment This will give us some insights to see if miRNA is also involved in the the regulation of the expression of the genes involved in the disease process before and after treatment. Methods: 42-45 days old 4L;C*, wild-type (WT) and Isofagamine treated 4L;C* mouse brain were generated by deep sequencing, in triplicate, using IlluminaHiseq. The sequence reads that passed quality filters were analyzed at the gene level with two methods: Burrows–Wheeler Aligner (BWA) followed and TopHat followed by DESeq. qRT–PCR validation was performed using TaqMan and SYBR Green assays Overall design: Regional brain mRNA profiles of ~42 -days old wild type (WT) and 4L;C* an d Isofagamine treated mice were generated by deep sequencing, in triplicate, using IlluminaHi Seq.
Publication Title
Signatures of post-zygotic structural genetic aberrations in the cells of histologically normal breast tissue that can predispose to sporadic breast cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- 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
- 19 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)
Description
We have looked for fusion genes in ovarian carcinomas. We combined previously known genomic aberrations, detected by karyotyping, and gene expression analysis. We found recurrent DPP9 gene expression deregulation with matching translocations. In additon, candidate fusion partner genes from the exon-level expression analysis were ranked according to deviating expression compared to the median of the sample set. The results were collated with data obtained from the RNA-seq analysis.
Publication Title
Involvement of DPP9 in gene fusions in serous ovarian carcinoma.
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