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SRP009275
Danio rerio
4 Downloadable Samples
IlluminaGenomeAnalyzerII
Description
small RNA libraries from wild-type and Hen1 mutant testes were made with either polyA tailing (VASAGFPHen1minus/plus) or adapter ligation (Hen1Testis and WTTestis) and sequenced on an Illumina GAII platform. Overall design: RNA was isolated from total testis tissue of both Hen1 wildtype and Hen1 mutant animals. After size selection from gel, the small RNA libraries wre made.
Publication Title
Hen1 is required for oocyte development and piRNA stability in zebrafish.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 72 Downloadable Samples
Illumina MouseRef-8 v2.0 expression beadchip
Description
Calorie restriction (CR) is the most robust non-genetic intervention to universally delay the onset of age-related diseases and extend mean and maximum lifespan. However, species, strain, sex, diet, age of onset, and level of CR are emerging as important variables to consider for a successful CR response. Here, we investigated the role of strain, sex and level of CR on outcomes of health and survival in mice. Response to CR varied from lifespan extension to no effect on survival, while consistently delaying the onset and impact of diseases independently of strain, sex and level of dietary restriction. CR led to transcriptional and metabolomics changes in the liver indicating anaplerotic filling of the Krebs cycle together with fatty acid fueling of mitochondria. Additionally, CR prevented the age-associated decline in the proteostasis network. Further, CR increased mitochondrial number and preserved their ultrastructure and function with age. Abrogation of mitochondrial function by deletion of fumarate hydratase or malate dehydrogenase 2 negated the life-prolonging effects of CR in yeast and worms. In F1 hybrid strains of mice, the lifespan response to CR tracked with the dam, indicating that the mitochondrial haplotype is an important regulator of CR. Our data illustrate the complexity of the CR responses within a single animal species in the context of aging, with a clear separation of outcomes related to health and survival, highlighting the complexities of translation of CR into human interventions.
Publication Title
Effects of Sex, Strain, and Energy Intake on Hallmarks of Aging in Mice.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Ion Torrent Proton
Description
Background: Whole transcriptome sequencing (RNA-seq) represents a powerful approach for whole transcriptome gene expression analysis. However, RNA-seq carries a few limitations, e.g., the requirement of a significant amount of input RNA and complications led by non-specific mapping of short reads. The Ion AmpliSeqTM Transcriptome Human Gene Expression Kit (AmpliSeq) was recently introduced by Life Technologies as a whole-transcriptome, targeted gene quantification kit to overcome these limitations of RNA-seq.To assess the performance of this new methodology, we performed a comprehensive comparison of AmpliSeq with RNA-seq using two well-established next-generation sequencing platforms (Illumina HiSeq and Ion Torrent Proton). We analyzed standard reference RNA samples and RNA samples obtained from human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs). Results: Using published data from two standard RNA reference samples, we observed a strong concordance of log2 fold change for all genes when comparing AmpliSeq to Illumina HiSeq (Pearson’s r=0.92) and Ion Torrent Proton (Pearson’s r=0.92). We used ROC, Matthew’s correlation coefficient and RMSD to determine the overall performance characteristics. All three statistical methods demonstrate AmpliSeq as a highly accurate method for differential gene expression analysis. Additionally, for genes with high abundance, AmpliSeq outperforms the two RNA-seq methods. When analyzing four closely related hiPSC-CM lines, we show that both AmpliSeq and RNA-seq capture similar global gene expression patterns consistent with known sources of variations. Conclusions: Our study indicates that AmpliSeq excels in the limiting areas of RNA-seq for gene expression quantification analysis. Thus, AmpliSeq stands as a very sensitive and cost-effective approach for very large scale gene expression analysis and mRNA marker screening with high accuracy. Overall design: Comprehensive, performance evaluation of AmpliSeq Transcriptome to standard whole-transcriptome RNA-sequencing methods for large-scale, genome-wide differential gene expression analysis. We analyzed standard reference RNA samples and RNA samples obtained from human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs).
Publication Title
Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 32 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Pancreatic ductal adenocarcinoma (PDAC) is a heterogeneous cancer in which differences in survival rates might be related to a variety in gene expression profiles. Although the molecular biology of PDAC begins to be revealed, genes or pathways that specifically drive tumour progression or metastasis are not well understood. Therefore, we performed microarray analyses on whole-tumour samples of 2 human PDAC subpopulations with similar clinicopathological features, but extremely distinct survival rates after potentially curative surgery, i.e., good outcome (OS and DFS>50months) versus bad outcome (OS<19months and DFS<7months). Additionally, liver- and peritoneal metastases were analysed and compared to primary cancer tissue. The integrin and ephrin receptor families were upregulated in all PDAC samples, irrespective of outcome, supporting an important role of the interaction between pancreatic cancer cells and the surrounding desmoplastic reaction in tumorigenesis and cancer progression. Moreover, some components, such as ITGB1 and EPHA2, were upregulated in PDAC samples with a poor outcome, Additionally, overexpression of the non-canonical Wnt/-catenin pathway and EMT genes in PDAC samples with bad versus good outcome suggests their contribution to the invasiveness of pancreatic cancer, with -catenin being also highly upregulated in metastatic tissue. Thus, we conclude that components of the integrin and ephrin pathways and EMT-related genes might serve as molecular markers in pancreatic cancer as their expression seems to be related with prognosis.
Publication Title
Molecular markers associated with outcome and metastasis in human pancreatic cancer.
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage
View Samples- Rattus norvegicus
- 10 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Study on changes in gene expression in primary cultures of neonatal rat ventricular cardiomyocytes to electric stimulation.
Publication Title
Electrical signals affect the cardiomyocyte transcriptome independently of contraction.
Sample Metadata Fields
Treatment
View Samples- Saccharomyces cerevisiae
- 4 Downloadable Samples
- Illumina HiSeq 2500
Description
As a result of ancestral whole genome and small-scale duplication events, the genome of Saccharomyces cerevisiae's, and of many eukaryotes, still contain a substantial fraction of duplicated genes. In all investigated organisms, metabolic pathways, and more particularly glycolysis, are specifically enriched for functionally redundant paralogs. In ancestors of the Saccharomyces lineage, the duplication of glycolytic genes is purported to have played an important role leading to S. cerevisiae current lifestyle favoring fermentative metabolism even in the presence of oxygen and characterized by a high glycolytic capacity. In modern S. cerevisiae, the 12 glycolytic reactions leading to the biochemical conversion from glucose to ethanol are encoded by 27 paralogs. In order to experimentally explore the physiological role of this genetic redundancy, a yeast strain with a minimal set of 14 paralogs was constructed (MG strain). Remarkably, a combination of quantitative, systems approach and of semi-quantitative analysis in a wide array of growth environments revealed the absence of phenotypic response to the cumulative deletion of 13 glycolytic paralogs. This observation indicates that duplication of glycolytic genes is not a prerequisite for achieving the high glycolytic fluxes and fermentative capacities that are characteristic for S. cerevisiae and essential for many of its industrial applications and argues against gene dosage effects as a means for fixing minor glycolytic paralogs in the yeast genome. MG was carefully designed and constructed to provide a robust, prototrophic platform for quantitative studies, and is made available to the scientific community. Overall design: The goals of the present study are to experimentally explore genetic redundancy in yeast glycolysis by cumulative deletion of minor paralogs and to provide a new experimental platform for fundamental yeast research by constructing a yeast strain with a functional 'minimal glycolysis'. To this end, we deleted 13 minor paralogs, leaving only the 14 major paralogs for the S. cerevisiae glycolytic pathway. The cumulative impact of deleting all minor paralogs was investigated by two complementary approaches. A first, quantitative analysis focused on the impact on glycolytic flux under a number of controlled cultivation conditions that, in wild-type strains, result in different glycolytic fluxes. These quantitative growth studies were combined with transcriptome, enzyme-activity and intracellular metabolite assays to capture potential small phenotypic effects. A second, semi-quantitative characterization explored the phenotype of the 'minimal glycolysis' strain under a wide array of experimental conditions to identify potential context-dependent phenotypes
Publication Title
The Genetic Makeup and Expression of the Glycolytic and Fermentative Pathways Are Highly Conserved Within the <i>Saccharomyces</i> Genus.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 41 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Expression profiles of anti-TNF responders were compared to profiles of anti-TNF non-responders in order to identify an expression signature for anti-TNF response
Publication Title
Validation study of existing gene expression signatures for anti-TNF treatment in patients with rheumatoid arthritis.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
RNA expression profiling of human iPSC-derived cardiomyocytes in a cardiac hypertrophy model.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Cardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to comprehensively study cardiac hypertrophy on a gene regulatory level is impacted by the limited availability of human cardiomyocytes. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer the opportunity for disease modeling.
Publication Title
RNA expression profiling of human iPSC-derived cardiomyocytes in a cardiac hypertrophy model.
Sample Metadata Fields
Specimen part
View Samples- Saccharomyces cerevisiae
- 161 Downloadable Samples
- Affymetrix Yeast Genome S98 Array (ygs98)
Description
Background
Publication Title
Combinatorial effects of environmental parameters on transcriptional regulation in Saccharomyces cerevisiae: a quantitative analysis of a compendium of chemostat-based transcriptome data.
Sample Metadata Fields
No sample metadata fields
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