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accession-icon SRP059989
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

By means of 3' end sequencing we provide a genome-wide, high-resolution polyadenylation map of the human heart. By sequencing 5 control en 5 dilated cardiomyopathy (DCM) myocardial specimens we investigate the difference in alternative polyadenylation (APA) in healthy and diseased hearts.

Publication Title

Genome-Wide Polyadenylation Maps Reveal Dynamic mRNA 3'-End Formation in the Failing Human Heart.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6790
Dystrophin-deficient and dystrophin and utrophin double-deficient mice crossed with mice with full-length hDMD genes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Crossing of hDMD mice that contain the full-length 2.3 Mb hDMD gene were crossed with dystrophin-deficient mdx mice and dystrophin and utrophin double-deficient mdx x utrn-/- mice resulted in a full rescue of the dystrophic features of these mice, as concluded from histological analysis. Analysis on Affymetrix gene chips demonstrated that also expression profiles of the dystrophic mice were normalized by crossing with transgenic hDMD mice. This confirms the full functionality of the hDMD transgene in mice.

Publication Title

Generation and characterization of transgenic mice with the full-length human DMD gene.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9954
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to compare gene expression across different murine tissues.

Publication Title

Using ribosomal protein genes as reference: a tale of caution.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE82324
Expression data from yeasts under non-caloric restriction (NR), caloric restriction (CR) and rapamycin treatment (RM)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We performed microarrays to identify change of gene expression under NR, CR, and RM and found differentially expressed genes between each condition.

Publication Title

Caloric Restriction and Rapamycin Differentially Alter Energy Metabolism in Yeast.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40791
Usp44 binds centrin to regulate centrosome positioning and suppress tumorigenesis
  • organism-icon Homo sapiens
  • sample-icon 192 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Most human tumors have abnormal numbers of chromosomes, a condition known as aneuploidy. The mitotic checkpoint is an important mechanism that prevents aneuploidy through restraining the activity of the anaphase-promoting complex (APC). USP44 was identified as a key regulator of APC activation that maintains the association of MAD2 with the APC co-activator Cdc20. However, the physiological importance of USP44 and its impact on cancer biology are unknown. Here, we show that USP44 is required to prevent tumors in mice and is frequently down-regulated in human lung cancer. USP44 inhibits chromosome segregation errors independently of its role in the mitotic checkpoint by regulating proper centrosome separation, positioning, and mitotic spindle geometry, functions that require direct binding to the centriole protein, centrin. These data reveal a new role for the ubiquitin system in mitotic spindle regulation and underscore the importance of USP44 in the pathogenesis of human cancer.

Publication Title

USP44 regulates centrosome positioning to prevent aneuploidy and suppress tumorigenesis.

Sample Metadata Fields

Sex, Disease, Disease stage

View Samples
accession-icon GSE72753
Beta cell markers of aging have heterogeneous distribution in islets and are induced by insulin resistance
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Our hypothesis was that at any given point in time, islets will contain differing populations of beta cells at different stages of their lifecycle, with further changes occurring with metabolic stress and aging. We examined subpopulations of beta cells isolated from MIP-GFP mice on the basis of their insulin transcriptional activity and in their expression of p16Ink4a. In addition, using aging C57Bl/6 mice as a model, markers of beta cell aging were identified and validated: Igf1r and Cd99 expression increased with age, whereas Kcnq5 was decreased with age. These markers were correlated with an age-related decline in function. The functional aging of beta cells was accelerated by S961, an antagonist to the insulin receptor, which induced insulin resistance. Particularly surprising was the finding of marked islet heterogeneity as demonstrated with the marked staining differences of the markers: Igf1r, Cd99 and Kcnq5. These novel findings about beta cell and islet heterogeneity, and how they change with age, open up an entirely new set of questions that must be addressed about the pathogenesis of type 2 diabetes. The present study has identified new markers of aging in beta cells and found that the expression of these and other markers can be increased by insulin resistance. This provides insight into how insulin resistance might accelerate the death of beta cells. In addition, striking heterogeneity among islets was found, which opens up new ways to think about islet biology and the pathogenesis of T2D.

Publication Title

β Cell Aging Markers Have Heterogeneous Distribution and Are Induced by Insulin Resistance.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE24207
mRNA analysis in different mouse tissues
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The functioning of a specific tissue depends on the expression pattern of the different genes. We used microarrays to compare gene expression across different murine tissues, to get a better understanding in the expression pattern and functioning of the different tissues. With this analysis, we were not only able to identify genes that were specifically expressed in a spicific tissue but, as important, we also identified genes that were specifically repressed in a tissue, compared to al the other analysed tissues.

Publication Title

Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE24940
Transcription in adult mouse tissues
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used Affymetrix Gene Arrays (1.0 ST) to compare gene expression across different murine tissues.

Publication Title

Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP151594
RNA-seq in wild type and dCAP-D3 mutant tissues
  • organism-icon Drosophila melanogaster
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this experiment was to identify transcripts that are differentially expressed in dCAP-D3 mutant tissues. Overall design: RNA was isolated from wing discs and salivary glands of wild type (w1118) or dCap-D3 homozygous mutant (dCap-D3c07081/c07081) larvae. Directional (wing disc) or nondirectional (salivary gland) cDNA libraries (50 bp, paired end) were made at the University of Chicago Genomics Core and sequenced on an Illumina HiSeq2500, according to standard protocols.

Publication Title

Comparing and Contrasting the Effects of <i>Drosophila</i> Condensin II Subunit dCAP-D3 Overexpression and Depletion <i>in Vivo</i>.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE59928
Expression data from 24 hours of Sox17 overexpression in pancreatic islets of a 16-week old mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Secretion of insulin by pancreatic cells in response to glucose is central for glucose homeostasis, and dysregulation of this process is a hallmark of the early stages of diabetes. We utilized a tetracycline-inducible approach to investigate the immediate impact of a pulse of Sox17 expression on the insulin secretory pathway. Sox17 gain-of-function animals (Sox17-GOF) were generated using an Ins2-rtTA mouse line and a line in which Sox17 expression is regulated by the tetracycline transactivator (tetO-Sox17). Administering doxycycline to 16-week old mice resulted in Sox17 overexpression in mature cells in the islets.

Publication Title

Sox17 regulates insulin secretion in the normal and pathologic mouse β cell.

Sample Metadata Fields

Age, Specimen part

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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