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accession-icon SRP118788
Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-ß signalling and malignant features in vitro and in vivo 
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed a polysomal RNA-Seq screen in non-malignant breast epithelial (MCF10A) and TNBC (MDA-MB-231) cells exposed to normoxic or hypoxic conditions and/or treated with an mTOR pathway inhibitor. Analysis of both the transcriptome and the translatome identified mRNA transcripts translationally activated or repressed by hypoxia in an mTOR-dependent or -independent manner. The mRNA populations of each sample were converted to cDNA libraries using the TruSeq protocol and then sequenced using a HiSeq 2000 machine. Paired-end reads were mapped against the reference human genome (GRCh38) with STAR v2.5.1b (ENCODE parameters for long RNA) and GENCODE v24 annotation. Gene quantification was performed using RSEM v1.2.28 with default parameters. Only protein-coding genes were included in the analysis. Normalization of the count matrix was performed with the TMM method of the edgeR R package. Polysomal RNA (P) and RNA total (T) fold changes across conditions were calculated with edgeR. Significant genes (FDR < 5% for MCF10A cells and FDR < 10% for MDA-MB-231 cells) in polysomes were selected for translational efficiency calculation (log2FC RNA polysomes/log2FC RNA total). Genes with a z-score > 1.5 were considered to have an increased translational efficiency and genes with a z-score < –1.5 were considered to have a decreased translational efficiency. GO enrichment analysis of significant genes was performed with the DAVID database. Overall design: RNA-Seq profiles in polysomes vs total in Normoxia, Hypoxia, Hypoxia + PP242, Normoxia + PP242 in MCF10A and MDA-MB-231 cell lines

Publication Title

Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signaling and malignant features <i>in vitro</i> and <i>in vivo</i>.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE24768
Influence of Set7/9 on hESC differentiation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We analyzed the role of the histone lysine methyltransferase Set7/9 in the differentiation of human embryonic stem (ES) cells. Human ES cell lines expressing a control short hairpin and a short hairpin against Set7/9 were established and the genome wide expression profile was compared between both cell lines at different days during differentiation. Analysis of both profiles indicates that in the absence of Set7/9 there is a delay in the silencing of self-renewal factors as well as in the induction of differentiation markers. These results indicate that Set7/9 plays an active role in the differentiation of human ES cells.

Publication Title

SETD7 Regulates the Differentiation of Human Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE42808
Expression data from human umbilical vein endothelial cells (HUVEC) treated with DMSO, telmisartan, or telmisartan and amlodipine
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Objective Telmisartan, an angiotensin II type 1 (AT1) receptor blocker, and amlodipine, a calcium channel blocker, are antihypertensive agents clinically used as monotherapy or in combination. They exert beneficial cardiovascular effects independently of blood pressure lowering and classic mechanisms of action. In this study, we investigate molecular mechanisms responsible for the off-target effects of telmisartan and telmisartan-amlodipine in endothelial cells (EC), using an unbiased approach.

Publication Title

Telmisartan exerts pleiotropic effects in endothelial cells and promotes endothelial cell quiescence and survival.

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon GSE45564
Expression data in the presence of miR-29a inhibition in human dermal fibroblast cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

miR-29 can target many gene transcripts encoding extracellular matrix proteins. To unravel novel targets, we used microarray analysis to detect global gene expression changes when inhibiting endogenous miR-29.

Publication Title

Ten-eleven translocation (Tet) and thymine DNA glycosylase (TDG), components of the demethylation pathway, are direct targets of miRNA-29a.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE11103
Study of human immune and memory T cells using microarray
  • organism-icon Homo sapiens
  • sample-icon 39 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

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE11057
Memory T Cell Subsets
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE11058
Immune Cell Line Mixtures
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP099018
Single cell RNA expression of mouse embryonic basal forebrain
  • organism-icon Mus musculus
  • sample-icon 225 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell RNA-Seq RNA from medial ganglionic eminence at E11.5, E13.5, E15.5 or E17.5. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007389 Overall design: Single-cell RNA-Seq from medial ganglionic eminence at E11.5, E13.5, E15.5 or E17.5.

Publication Title

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP098938
Embryonic stem cells-derived neural progenitor cells
  • organism-icon Mus musculus
  • sample-icon 140 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

J14 ES cells differentiated into MGE-like cells. Three groups of single-cell preparations were analyzed: ES cells (undifferentiated), differentiated cells (unsorted, of which less than 10% are GFP+) and GFP+ differentiated cells. These are specified in the "group" sample characteristic, with values "ES", "Unsorted" and "GFP+" respectively. The "SAMPLE_ID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007904 Overall design: J14 ES cells differentiated into MGE-like cells

Publication Title

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE30956
Expression data from pig BMDM treated with salmonella LPS
  • organism-icon Sus scrofa
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Mouse bone marrow-derived macrophages (BMDM) grown in macrophage colony-stimulating factor (CSF-1) have been used widely in studies of macrophage biology and the response to toll-like receptor agonists. We investigated whether similar cells could be derived from the domestic pig. Cultivation of pig bone marrow cells for 5-7 days in presence of rhCSF-1 generated a pure population of BMDM that expressed the usual macrophage markers (CD14, CD16, CD163, CD172a), are potent phagocytic cells and produced tumor necrosis factor (TNF) in response to lipopolysaccharide (LPS). Bone marrow cells could be stored frozen and thawed, providing a renewable resource.

Publication Title

Pig bone marrow-derived macrophages resemble human macrophages in their response to bacterial lipopolysaccharide.

Sample Metadata Fields

Sex, Specimen part, Time

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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