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accession-icon GSE30296
Changes in follistatin levels by BRCA1 may serve as a regulator of ovarian carcinogenesis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Follistatin is a folliculogenesis regulating protein that has been found in relatively high concentration in the female ovarian tissues. Follistatin acts as an antagonist to the function of Activin, which is often found elevated in ovarian carcinogenesis and thus presents a possibility for therapeutic intervention in controlling ovarian cancer. Most of the ovarian cancer occurs in its ovarian surface epithelium (OSE) cells. Although breast cancer susceptibility gene 1 (BRCA1) is a known tumor suppressor for breast cancer but its role in ovarian cancer is beginning to unfold. We have shown that in ovarian carcinoma cells (SKOV3), stable overexpression of BRCA1 stimulates Follistatin secretion and simultaneously downregulates Activin expression. Moreover, knock down of BRCA1 in immortalized OSE (IOSE) cells from human ovarian tissue demonstrates downregulation of Follistatin secretion with simultaneous up regulation of Activin expression. IOSE cells generated from an ovarian cancer patient with BRCA1 mutation failed to secrete Follistatin in the medium. Our results indicate a novel function for BRCA1 in the form of regulation of the expression of Follistatin in the ovarian cells.

Publication Title

BRCA1 regulates follistatin function in ovarian cancer and human ovarian surface epithelial cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP101737
Genome Scale Analysis of miRNA and mRNA regulation during preterm labor [whole blood]
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this study was to define relationships between peripheral blood miRNAs and mRNAs of women undergoing idiopathic preterm labor (PTL) and compare network level changes to control women that deliver at term.Using RNA Sequencing we have performed global miRNA and mRNA profiling in both monocytes and whole blood leukocytes of women who underwent PTL (N=15) matched to non-pathological controls (N=30) as a part of the Ontario Birth Study cohort. We have identified differentially expressed miRNAs, mRNAs and pathways associated with PTL. Intriguingly, we found perturbations in many cellular signaling pathways, particularly in interleukin signaling. We also predicted mRNA targets for specific miRNAs and used these predictions to build putative miRNA-mRNA networks. We identified 6 miRNAs significantly associated with PTL whose expression is negatively correlated with expression of 14 predicted mRNA targets that are also significantly associated with PTL. Overall design: miRNA and mRNA were quantified from whole blood and monocytes of women undergoing spontaneous preterm labor compared to nonlabor controls matched on gestational age

Publication Title

Comparative analysis of gene expression in maternal peripheral blood and monocytes during spontaneous preterm labor.

Sample Metadata Fields

Subject

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accession-icon GSE47191
Integrated analyses of genome-wide DNA occupancy and expression profiling identify key genes and pathways involved in cellular transformation by Marek's disease oncoprotein, Meq
  • organism-icon Gallus gallus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Mareks disease (MD) is an economically significant disease in chickens caused by the highly oncogenic Mareks disease virus (MDV). A major unanswered question is the mechanism of MDV-induced tumor formation. Meq, a bZIP transcription factor discovered in the 1990s, is critically involved in viral oncogenicity but only a few of its host target genes have been described impeding our understanding of MDV-induced tumorigenesis. Using ChIP-seq and microarray analysis, a high confidence list of Meq-binding sites in the chicken genome and a global transcriptome of Meq-responsive genes was generated. Meq binding sites were found to be enriched in the promoter regions of up-regulated genes, but not in those of down-regulated genes. ChIP-seq was also performed for c-Jun, a known heterodimeric partner of Meq. Close location of binding sites of Meq and c-Jun was noted, suggesting cooperativity between these two factors in modulating transcription. Pathway analysis indicated that Meq transcriptionally regulates many genes that are part of several signaling pathways include the ERK/MAPK, Jak-STAT, and ErbB pathways that are critical for oncogenesis and/or include signaling mediators involved in apoptosis. Meq activates oncogenic signaling cascades by transcriptionally activating major kinases in the ERK/MAPK pathway and simultaneously repressing phosphatases, as verified using inhibitors of MEK and ERK1/2 in a cell proliferation assay. This study provides significant insights into the mechanistic basis of Meq-dependent cell transformation.

Publication Title

Integrated analyses of genome-wide DNA occupancy and expression profiling identify key genes and pathways involved in cellular transformation by a Marek's disease virus oncoprotein, Meq.

Sample Metadata Fields

Specimen part

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accession-icon GSE25067
Gene expression in response to genetic and chemical perturbations of chromatin structure
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Microarray expression profiling was used to identify genes expressed misexpressed in wild-type Arabidopsis seedlings treated with 5-aza-2 deoxyctidine (5AC) or trichostatin A (TSA), and in decrease in dna methylation1 (ddm1) mutant seedlings.

Publication Title

Changes in global gene expression in response to chemical and genetic perturbation of chromatin structure.

Sample Metadata Fields

Specimen part

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accession-icon SRP074148
Evolved Repression Overcomes Enhancer Robustness
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Biological systems display extraordinary robustness. Robustness of transcriptional enhancers results mainly from clusters of binding sites for the same transcription factor, and it is not clear how robust enhancers can evolve loss of expression through point mutations. Here, we report the high-resolution functional dissection of a robust enhancer of the shavenbaby gene that has contributed to morphological evolution. We found that robustness is encoded by many binding sites for the transcriptional activator Arrowhead and that, during evolution, some of these activator sites were lost, weakening enhancer activity. Complete silencing of enhancer function, however, required evolution of a binding site for the spatially restricted potent repressor Abrupt. These findings illustrate that recruitment of repressor binding sites can overcome enhancer robustness and may minimize pleiotropic consequences of enhancer evolution. Recruitment of repression may be a general mode of evolution to break robust regulatory linkages. Overall design: 8 samples are analyzed: background GFP- and target GFP+ cells from four independent sortings.

Publication Title

Evolved Repression Overcomes Enhancer Robustness.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP157943
The single cell RNA seq of PDGFRa-GFP+ cells in mouse lung
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Pdgfra-expressing (Pdgfra+) cells have been implicated as progenitors in many mesenchymal tissues. To further characterize Pdgfra+ cells during alveologensis, we performed single-cell RNA sequencing (scRNA-Seq) analysis using fluorescence-activated cell sorting (FACS) sorted GFP+ cells from Pdgfra-GFP lungs at P7 and P15. Overall design: We perfomed 10X genomics single-cell RNA-seq of Pdgfra-GFP+ cells at P7 and P15

Publication Title

<i>Pdgfra</i> marks a cellular lineage with distinct contributions to myofibroblasts in lung maturation and injury response.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE33588
Human-specific patterns of gene expression in the brain
  • organism-icon Macaca mulatta, Pan troglodytes, Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Divergent whole-genome methylation maps of human and chimpanzee brains reveal epigenetic basis of human regulatory evolution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33010
Human-specific patterns of gene expression in the brain (Arrays)
  • organism-icon Macaca mulatta, Pan troglodytes, Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified human-specific gene expression patterns in the brain by comparing expression with chimpanzee and rhesus macaque

Publication Title

Divergent whole-genome methylation maps of human and chimpanzee brains reveal epigenetic basis of human regulatory evolution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE67523
Biological characterization of gene response to insulin-induced hypoglycemia in mouse retina
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Glucose is the most important metabolic substrate of the retina and maintenance of nor-moglycemia is an essential challenge for diabetic patients. Glycemic excursions could lead to cardiovascular disease, nephropathy, neuropathy and retinopathy. We recently showed that hy-poglycemia induced retinal cell death in mouse via caspase 3 activation and glutathione (GSH) decrease. Ex vivo experiments in 661W photoreceptor cells confirmed the low-glucose induction of death via superoxide production and activation of caspase 3, which was concomitant with a decrease of GSH content. We evaluate herein retinal gene expression 4 h and 48 h after insulin-induced hypoglycemia. Microarray analysis demonstrated clusters of genes whose expression is modified by hypoglycemia and we discuss the potential implication of those genes in retinal cell death. In addition, we highlight, by gene set enrichment analysis, three important pathways, including KEGG lysosomes, KEGG GSH metabolism and REACTOME apoptosis pathways. We tested the effect of recurrent hypoglycemia (three successive 5h periods of hypoglycemia separated by 48 h recovery) on retinal cell death. Interestingly, exposure to multiple hypoglycemic events prevents retinal cell death and GSH decrease, or adapts the retina to external stress by restoring GSH level comparable to control situation. We hypothesize that scavenger GSH is a key compound in this apoptotic process, and maintaining normal GSH level, as well as a strict glycemic control, may represent a therapeutic challenge in order to avoid side effects of diabetes, especially diabetic retinopathy.

Publication Title

Biological Characterization of Gene Response to Insulin-Induced Hypoglycemia in Mouse Retina.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE20744
The activation potential of MOF is constrained for dosage compensation, MBD-R2 transcriptome analysis
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The H4K16 acetyltransferase MOF plays a crucial role in dosage compensation in Drosophila, but has additional, global functions in gene control. We compared the molecular context and effect of MOF activity in male and female flies combining chromosome-wide mapping and transcriptome studies with analyses of defined reporter loci in transgenic flies. MOF distributes dynamically between two types of complexes, the Dosage Compensation Complex (DCC) and complexes containing MBD-R2, a global facilitator of transcription. These different targeting principles define the distribution of MOF between the X chromosome and autosomes and at transcription units with 5 or 3 enrichment.

Publication Title

The activation potential of MOF is constrained for dosage compensation.

Sample Metadata Fields

Cell line

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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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