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accession-icon GSE21514
The mRNA and microRNA expression profile of the RNA-induced silencing complex in human U-87 astrocytoma cells and primary human astrocytes
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

mRNA and microRNA expression was examined in global cellular fractions and in RNA-induced silencing complex (RISC)-immunoprecipitated cell fractions in cultured primary human astrocytes (ScienCell) and in cultured human U-87 MG astrocytoma cells (ATCC). ABSTRACT: Background: GW/P bodies are cytoplasmic ribonucleoprotein-rich foci that are involved in microRNA (miRNA)-mediated messenger RNA (mRNA) silencing and degradation. These mRNA regulatory functions within GW/P bodies are mediated by GW182 and its binding partner hAgo2 when bound to miRNA within the RNA-induced silencing complex (RISC). Although miRNAs and mRNAs are known to be localized to RISC in a variety of cells, to date no published study has examined the profile of specific miRNA and mRNA targeted to the RISC. Methodology/Principle Findings: In this study, RISC mRNA and miRNA components were profiled by microarray analysis of human U-87 astrocytoma cells and primary human astrocytes with total RNA extracted from the RISC as well as the global cellular fractions. The novel findings of this study were fourfold: (1) miRNAs are highly enriched in primary astrocyte RISC compared to U-87 astrocytoma RISC, (2) astrocytoma cells and primary astrocytes each contain unique RISC miRNA profiles as compared to their respective cellular miRNA profiles, (3) miR-195, 10b, 29b, 19b, 34a and 455-3p were upregulated and miR-181b was downregulated in U-87 astrocytoma RISC as compared to primary astrocyte RISC, and (4) RISC contain mostly downregulated mRNAs in primary astrocytes and U-87 astrocytoma cells. Conclusions/Significance: We show that in U-87 astrocytoma cells, miR-34a and miR-195 were upregulated in RISC suggesting an oncogenic role for these miRNAs. Three miR34a-targeted mRNAs and two miR-195-targeted mRNAs were downregulated. One miR-195-targeted mRNA was upregulated. Biological pathway analysis of RISC mRNA components suggests that the RISC plays a pivotal role in cancer, inflammatory disease, immunological disease, the cell cycle, cellular movement and numerous cell signaling pathways. This study points to the importance of the RISC and ultimately GW/P body composition and function and in miRNA and mRNA deregulation in astrocytoma cells and possibly for other brain tumors.

Publication Title

The microRNA and messengerRNA profile of the RNA-induced silencing complex in human primary astrocyte and astrocytoma cells.

Sample Metadata Fields

Cell line

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accession-icon GSE50682
Genome-wide transcription profile of CpG-activated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To compare up-regulation of genes following CpG activation, we performed microarray analysis of activated macrophages from B6 and F1(B6xMOLF) mouse strains. Cells were activated for 0, 2 and 4 hrs with 200nM of type B CpG. Levels of mRNA for many genes differened dramatically between the strains

Publication Title

Mannose receptor 1 mediates cellular uptake and endosomal delivery of CpG-motif containing oligodeoxynucleotides.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE27296
Targeting genes of AP-2d in the mouse midbrain
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Identification of AP-2d target genes in the midbrain of E15 mouse embryos

Publication Title

AP-2δ is a crucial transcriptional regulator of the posterior midbrain.

Sample Metadata Fields

Specimen part

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accession-icon SRP158425
Assessment of a highly multiplexed RNA sequencing platform and comparison to existing high-throughput gene expression profiling techniques [3pDGE]
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In this study, we report the performance of one such technique denoted as sparse full length sequencing (SFL), a ribosomal RNA depletion-based RNA sequencing approach that allows for the simultaneous sequencing of 96 samples and higher. We offer comparisons to well established single-sample techniques, including: full coverage Poly-A capture RNA-seq and microarray, as well as another low-cost highly multiplexed technique known as 3' digital gene expression (3' DGE). Data was generated for a set of exposure experiments on immortalized human lung epithelial (AALE) cells in a two-by-two study design, in which samples received both genetic and chemical perturbations of known oncogenes/tumor suppressors and lung carcinogens. SFL demonstrated improved performance over 3' DGE in terms of coverage, power to detect differential gene expression, and biological recapitulation of patterns of differential gene expression from in vivo lung cancer mutation signatures. Overall design: 3' Digital Gene Expression (3'DGE) for immortalized human bronchial epithelial cells (AALE) exposed to chemical and genotypic perturbations

Publication Title

Assessment of a Highly Multiplexed RNA Sequencing Platform and Comparison to Existing High-Throughput Gene Expression Profiling Techniques.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE6878
Expression data from human liver cells
  • organism-icon Homo sapiens
  • sample-icon 25 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

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Sample Metadata Fields

Age

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accession-icon GSE6494
Expression data from human liver cell line induced by PCB153
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of differnet diseases is not fully understood. The knowledge of global gene expression will help us to devlop early diagnostic biomarkers for PCB induced health effects.

Publication Title

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Sample Metadata Fields

Age

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accession-icon GSE6869
Expression data from human liver cell line induced by PCB77
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of different diseases is not fully understood. The knowledge of global gene expression will help us to develop early diagnostic biomarkers for PCB induced health effects.

Publication Title

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Sample Metadata Fields

Age

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accession-icon GSE56843
Steroid Receptor Coactivator 1 is an Integrator of Glucose and NAD(+)/NADH Homeostasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SRC-1 affects the expression of complex I of the mitochondrial electron transport chain, a set of enzymes responsible for the conversion of NADH to NAD(+). NAD(+) and NADH were subsequently identified as metabolites that underlie SRC-1's response to glucose deprivation. Knockdown of SRC-1 in glycolytic cancer cells abrogated their ability to grow in the absence of glucose consistent with SRC-1's role in promoting cellular adaptation to reduced glucose availability

Publication Title

Steroid receptor coactivator 1 is an integrator of glucose and NAD+/NADH homeostasis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE11783
Gene expression profile of bladder tissue of patients with ulcerative interstitial cystitis
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Interstitial cystitis (IC), a chronic bladder disease with an increasing incidence, is diagnosed using subjective symptoms in combination with cystoscopic and histological evidence. The ultimate goal is the development of a diagnostic assay for IC on a molecular level.

Publication Title

Gene expression profile of bladder tissue of patients with ulcerative interstitial cystitis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE60438
Transcriptome profiling of deciduas from pre-eclamptic and normotensive pregnancies
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Genome-wide analysis of decidual transcriptome in pre-eclampsia compared with normotensive controls to find differentially expressed genes/pathways.

Publication Title

Genome-wide transcriptome directed pathway analysis of maternal pre-eclampsia susceptibility genes.

Sample Metadata Fields

Specimen part, Disease stage

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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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