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accession-icon SRP049391
Next-Generation Sequencing Analysis Reveals Differential Expression Profiles of miRNA-mRNA Target Pairs in KSHV-Infected Cells [mRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

This SuperSeries is composed of the SubSeries listed below. Purpose: Kaposi’s sarcoma (KS)-associated herpesvirus (KSHV) causes several lymphoproliferative disorders, including KS, a common AIDS-associated malignancy. Cellular and viral microRNAs (miRNAs) have been shown to play important roles in regulating the expression of genes in oncogenesis. Herpesviruses, including KSHV, encode for miRNAs that are involved in angiogenesis, inflammation and apoptosis. A better knowledge of the miRNA-mediated pathways that regulate KSHV infection is therefore essential for an improved understanding of viral infection and pathogenesis. Methods: In this study, we used deep sequencing to analyze miRNA, both viral and human, and mRNA expression in KS tumor-derived human cells. Results: This approach revealed 153 differentially expressed human miRNAs between KSHV-positive and -negative cells. Differential expression of eight miRNAs was independently confirmed by qRT-PCR. We additionally showed that a majority (~73%) of KSHV-regulated miRNAs are down-regulated, including most members of the 14q32 miRNA cluster. Specifically, human miR-409-3p, which is known to target the pro-angiogenic growth factor angiogenin and the inflammation marker fibrinogen-beta, was significantly down-regulated in KSHV-infected cells based on deep sequencing and qRT-PCR. Despite this substantial down-regulation of cellular miRNAs, hsa-miR-708-5p was significantly up-regulated by KSHV and has been shown to directly inhibit pro-apoptotic protease Caspase-2. Finally, we evaluated to what extent there was an inverse correlation between miRNA and mRNA expression levels. Using filtered datasets, we identified relevant canonical pathways that were significantly enriched. Conclusion: Taken together, our data demonstrate that most human miRNAs affected by KSHV are repressed and our findings highlight the relevance of studying the post-transcriptional gene regulation of miRNAs for KSHV-associated malignancies. Overall design: Refer to individual Series. 6 samples analyzed (one cell type). Two experimental conditions: uninfected vs. chronically KSHV-infected cells (n=3). Two sequencing platforms: microRNA-Seq and mRNA-Seq.

Publication Title

Next-Generation Sequencing Analysis Reveals Differential Expression Profiles of MiRNA-mRNA Target Pairs in KSHV-Infected Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33984
KSHV regulation of gene expression in the human endothelial cell line EAHY
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

KSHV promotes endothelia to mesenchymal transformation (EntMT) in EAHY cells

Publication Title

Kaposi sarcoma herpesvirus promotes endothelial-to-mesenchymal transition through Notch-dependent signaling.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE6073
Rap1 and Abf1 DNA-binding ts mutants and wild type after 1 hr at 37 C
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Abf1 and Rap1 are General Regulatory Factors that contribute to transcriptional activation of a large number of genes, as well as to replication, silencing, and telomere structure in yeast. In spite of their widespread roles in transcription, the scope of their functional targets genome-wide has not been previously determined. We have used microarrays to examine the contribution of these essential GRFs to transcription genome-wide, by using ts mutants that dissociate from their binding sites at 37 C. We combined this data with published ChIP-chip studies and motif analysis to identify probable direct targets for Abf1 and Rap1. We also identified a substantial number of genes likely to bind Rap1 or Abf1, but not affected by loss of GRF binding. Interestingly, the results strongly suggest that Rap1 can contribute to gene activation from farther upstream than can Abf1. Also, consistent with previous work, more genes that bind Abf1 are unaffected by loss of binding than those that bind Rap1. Finally, we showed for several such genes that the Abf1 C-terminal region, which contains the putative activation domain, is not needed to confer this peculiar "memory effect" that allows continued transcription after loss of Abf1 binding.

Publication Title

Genome-wide analysis of transcriptional dependence and probable target sites for Abf1 and Rap1 in Saccharomyces cerevisiae.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10606
F9 Embryonal Carcinoma cell line
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression profile for undifferentiated F9 Embryonal Carcinoma cell line

Publication Title

Identification of active transcriptional regulatory modules by the functional assay of DNA from nucleosome-free regions.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14474
The Effects of Static Magnetic Fields on Human Embryonic Cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study provides a framework describing how magnetic exposure is transduced from the most-plausible molecular-level biosensor (lipid membranes) to cell-level responses that include differentiation toward neural lineages. In addition, SMF provided a stimulus that uncovered new relationships that exist even in the absence of magnetic fields between gangliosides, the time dependent regulation of IL-6 signaling by these glycolipids, and the fate of embryonic cells.

Publication Title

Moderate strength (0.23-0.28 T) static magnetic fields (SMF) modulate signaling and differentiation in human embryonic cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP058633
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

This study identified genomwide KCl inducible readthrough transcription. The project also includes a Cap-Seq experiment to identify transcriptional start sites, demonstrating that KCl does not activate downstream transcriptional start sites, but indeed does induce readthrough

Publication Title

Widespread Inducible Transcription Downstream of Human Genes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8482
Comparison of Agr-regulated virulence factor expression in FRI1169 and non-hemolytic variant
  • organism-icon Staphylococcus aureus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

These cultures were grown to examine the differences in Agr-regulated virulence factor gene expression between wild-type S. aureus FRI1169 and a non-hemolytic variant isolated from a biofilm inoculated with FRI1169. The study is described more thoroughly in the paper "Generation of virulence factor variants in Staphylococcus aureus biofilms", Yarwood et al., J. Bacteriol. 2007.

Publication Title

Generation of virulence factor variants in Staphylococcus aureus biofilms.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP031843
Sub-Cellular Transcriptomics – Dissection of the mRNA composition in the axonal compartment of sensory neurons
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

RNA localization is a regulatory mechanism that is conserved from bacteria to mammals. Yet, little is known about the mechanism and the logic that govern the distribution of RNA transcripts within the cell. Here we present a novel organ culture system, which enables the isolation of RNA specifically from NGF dependent re-growing peripheral axons of mouse embryo sensory neurons. In combination with massive parallel sequencing technology, we determine the sub-cellular localization of most transcripts in the transcriptome. We found that the axon is enriched in mRNAs that encode secreted proteins, transcription factors and the translation machinery. In contrast, the axon was largely depleted from mRNAs encoding transmembrane proteins, a particularly interesting finding, since many of these gene products are specifically expressed in the tip of the axon at the protein level. Comparison of the mitochondrial mRNAs encoded in the nucleus with those encoded in the mitochondria, uncovered completely different localization pattern, with the latter much enriched in the axon fraction. This discovery is intriguing since the protein products encoded by the nuclear and mitochondrial genome form large co-complexes. Finally, focusing on alternative splice variants that are specific to axonal fractions, we find short sequence motifs that are enriched in the axonal transcriptome. Together our findings shed light on the extensive role of RNA localization and its characteristics. Overall design: For each RNA sample, Spinal Cords\ DRGs were dissected from 40 E13.5 embryos and cultured for 48H. Total RNA was extracted from whole DRG and Peripheral axons. Poly-A enriched. In duplicates, using GAIIx. Read length - 80nt.

Publication Title

Subcellular transcriptomics-dissection of the mRNA composition in the axonal compartment of sensory neurons.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27345
Expression data from Drosophila melanogaster adults which contain transgenes to deliver a knockdown effect of Dhr96 expression, or over-expression of Dhr96, compared to control flies.
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2), Affymetrix Drosophila Genome Array (drosgenome1)

Description

To investigate the systemic molecular changes occurring as a result of Dhr96 knockdown or over-expression, a comparison between knockdown or overexpression lines and their genetic controls were performed. 0-3 day old adult males or females were reared on 3 separate batches of diet (this was the standard diet we used for culturing Drosophila melanogaster and was made up of 10L water, 100g agar (USP #7060 Bio-serve), 350g Brewers dried yeast (Sunshine Health), 300g black treacle (Lyles), 150g sucrose (Tate & Lyle), 300g Difco dextrose (Becton Dickinson), 150g cornmeal (#1151, Bioserve), 100g wheatgerm (#1659, Bioserve), 200g soya bean flour (#S9633 Sigma Aldrich), 10g methyl-4-hydroxybenzoate (#H3647 Sigma Aldrich) in 10ml ethanol, 50ml proprionic acid (#P5561 Sigma Aldrich)). Each of these 3 batches was considered to represent independent biological replication. The RNA samples were hybridized to the Affymetrix Drosophila GeneChip 2.

Publication Title

Insecticide detoxification indicator strains as tools for enhancing chemical discovery screens.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE27376
Effects of altered levels of Cyp6g1 and of Dhr96 on gene expression in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Insecticide detoxification indicator strains as tools for enhancing chemical discovery screens.

Sample Metadata Fields

No sample metadata fields

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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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