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accession-icon SRP189490
RNA sequencing of human macrophages treated with iron chelator deferiprone (DEF), with and without lipopolysaccharide (LPS)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In order to identify transcript changes in response to DEF , we used human macrophages with or without DEF treatment. In order to study the effect of iron chelation on LPS-polarized macrophage transcriptome, we exposed DEF-treated or control macrophages to short time exposure to LPS. We then performed whole-genome transcriptome sequencing by RNA-sequencing (RNA-seq). Overall design: Macrophages from 3 healthy donors were either treated with DEF (500 µM - designated as DEF) or left unstimulated (CONTROL). LPS treatment (100 ng/ml, 3 hours) was performed in cells with DEF (designated as LPS+DEF) or without (LPS). RNA-seq was performed on Illumina Hiseq 2500

Publication Title

Acute Iron Deprivation Reprograms Human Macrophage Metabolism and Reduces Inflammation In Vivo.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE91393
Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

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accession-icon GSE91392
Human expression data from Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin.
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

The cell of origin in glioblastoma is not formally proven but generally accepted to be a neural stem cell or glial precursor cell. In addition, there is also limited knowledge about the functional consequences of the cell of origin for glioblastoma development and response to therapy.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

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accession-icon GSE91391
Mouse expression data from Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The cell of origin in glioblastoma is not formally proven but generally accepted to be a neural stem cell or glial precursor cell. In addition, there is also limited knowledge about the functional consequences of the cell of origin for glioblastoma development and response to therapy.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19599
Expression data for normal flow sorted hematopietic cell subpopulations
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of normal hematopoietic cell subpopulations

Publication Title

Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies.

Sample Metadata Fields

Specimen part

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accession-icon GSE13124
Natural compound screening
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional expression data for bioactive small molecules for mechanism identification.

Publication Title

Identification of a novel topoisomerase inhibitor effective in cells overexpressing drug efflux transporters.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP016623
De novo piRNA cluster formation in the Drosophila germline triggered by transgenes containing a transcribed transposon fragment
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

PIWI interacting RNAs (piRNAs) provide defense against transposable element (TE) expansion in the germline of metazoans. piRNAs are processed from the transcripts encoded by specialized heterochromatic clusters enriched in damaged copies of transposons. How these regions are recognized as a source of piRNAs is still elusive. The aim of this study is to determine how transgenes that contain a fragment of the LINE-like I transposon lead to an acquired TE resistance in Drosophila. We show that such transgenes, being inserted in unique euchromatic regions which normally do not produce small RNAs, become de novo bidirectional piRNA clusters that silence I-element activity in the germline. Strikingly, small RNAs of both polarities are generated from the entire transgene and flanking genomic sequences — not only from the transposon fragment. Chromatin immunoprecipitation analysis shows that in ovaries the trimethylated histone 3 lysine 9 (H3K9me3) mark associates with transgenes producing piRNAs. We show that transgene-derived hsp70 piRNAs stimulate in trans cleavage of cognate endogenous transcripts with subsequent processing of the non-homologous parts of these transcripts into piRNAs. Overall design: The fractions of small RNAs (19-29 nt) from ovaries of wild type and 11 transgenic lines of Drosophila melanogaster were sequenced using Illumina HiSeq 2000.

Publication Title

De novo piRNA cluster formation in the Drosophila germ line triggered by transgenes containing a transcribed transposon fragment.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE34219
Effect of integrin alphaV on transcription in 2d or 3d
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

M21 or M21L cells were grown either in a 2-dimensional culture (on plastic) or in a 3-dimensional-collagen model.

Publication Title

Protein kinase Cα (PKCα) regulates p53 localization and melanoma cell survival downstream of integrin αv in three-dimensional collagen and in vivo.

Sample Metadata Fields

Cell line

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accession-icon GSE16709
Ovarian serous cancer
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.

Sample Metadata Fields

Disease, Disease stage, Cell line

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accession-icon GSE16708
Gene expression analysis of ovarian serous adenocarcinoma cell lines and tumors
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human serous epithelial OvCa cell lines, serous tumors, and short-term primary cultures of normal ovarian surface epithelium (NOSE). We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs.

Publication Title

Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.

Sample Metadata Fields

Disease, Disease stage, Cell line

View Samples

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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