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accession-icon GSE952
Transcriptome analysis in rat
  • organism-icon Rattus norvegicus
  • sample-icon 122 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Large scale transcriptome analysis of Wistar and Sprague Dawley rat tissues.

Publication Title

Applications of a rat multiple tissue gene expression data set.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE21060
Regulation of gene expression in murine liver by IL-6
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

STEAP4 is a plasma membrane metallo-reductase involved in the transport of iron and copper. Recently, STEAP4 was implicated in promoting insulin sensitivity by acting in white adipose tissue (WAT) to control the production of inflammatory cytokines such as IL-6. Indeed, the loss of STEAP4 expression in mice leads to increased production of inflammatory cytokines in visceral WAT and systemic insulin resistance. In this report, we demonstrate that in mouse liver STEAP4 is produced at significant levels and that STEAP4 transcription is induced by IL-6. We further demonstrate that the STEAP4 gene is a direct target of phosphorylated STAT3 in mouse liver. In addition, hepatic STEAP4 expression is regulated by feeding and fasting, and obesity leads to the induction of STEAP4 expression in the liver. Interestingly, the regulation of STEAP4 in both feeding and fasting and the obese state appears to require the transcription factor C/EBPalpha that may act in concert with STAT3 as they both bind to the proximal STEAP4 promoter in vivo. Taken together these data suggest the transcriptional regulation of hepatic STEAP4 may play a critical role in the response to nutritional and inflammatory stress and contribute to the protective effect of STEAP4 in vivo.

Publication Title

Regulation of hepatic six transmembrane epithelial antigen of prostate 4 (STEAP4) expression by STAT3 and CCAAT/enhancer-binding protein alpha.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE46279
Expression data from HUVEC adenovirally overexpressing MEF2C
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The transcription factor MEF2C is specifically induced by VEGF in endothelial cells. To delineate target genes of MEF2C in endothelial cells, which might be important during angiogenesis also, MEF2C was overexpressed adenovirally in human umbilical vein endothelial cells (HUVECs) over a period of 8 to 32 hours.

Publication Title

The transcription factor MEF2C negatively controls angiogenic sprouting of endothelial cells depending on oxygen.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE54192
NCoR1 and SMRT play unique roles in thyroid hormone signaling in the liver
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

NCoR1 (Nuclear receptor Co-Repressor) and SMRT (Silencing Mediator of Retinoid and Thyroid hormone receptor) are well-recognized coregulators of nuclear receptor (NR) action. However, their unique roles in the regulation of thyroid hormone (TH) signaling in specific cell types have not been determined. To accomplish this we generated a mouse model that lacked function of either NCoR1 or SMRT or both in the liver only. Despite both corepressors being present in the liver, SMRT had no ability to regulate TH signaling when deleted in either euthyroid or hypothyroid animals. In contrast, disruption of NCoR1 action confirmed that it is the principal mediator of TH sensitivity in vivo. While SMRT played little role in TH signaling alone, when disrupted in combination with NCoR1 it greatly accentuated the activation of hepatic lipogenesis regulated by NCoR1. Thus, corepressor specificity exists in vivo and NCoR1 is the principal regulator of TH action in the liver. However, both NCoR1 and SMRT collaborate to control hepatic lipogenesis and lipid storage, which likely reflects their cooperative activity in regulating the action of multiple NRs including the thyroid hormone receptor (TR).

Publication Title

NCoR1 and SMRT play unique roles in thyroid hormone action in vivo.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE10001
Gene expression profiling in NCoR deficient mouse livers
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The thyroid hormone receptor (TR) has been proposed to regulate target genes in the absence of triiodothyronine (T3), through the recruitment of the corepressors, NCoR and SMRT. NCoR and SMRT may thus play a key role in both hypothyroidism and resistance to thyroid hormone, though this has never been tested in vivo. To accomplish this we developed mice that express in the liver a NCoR protein (L-NCoRID) that cannot interact with the TR. L-NCoRID mice develop normally, however when made hypothyroid the repression of many positively regulated T3-target genes is abrogated, demonstrating that NCoR plays a specific and sufficient role in repression by the unliganded TR. Remarkably, in the euthyroid state, expression of many T3-targets are also upregulated in L-NCoRID mice, demonstrating that NCoR also determines the magnitude of the response to T3 in euthyroid animals. While positive T3 targets were upregulated in L-NCoRID mice in the hypo and euthyroid state there was less effect seen on negatively regulated T3 target genes. Thus, NCoR is a specific regulator of T3-action in vivo and mediates the activity of the unliganded TR. Furthermore, NCoR may play a key role in determining the differences in individual responses to similar levels of circulating T3.

Publication Title

The nuclear corepressor, NCoR, regulates thyroid hormone action in vivo.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE76812
Common pathways involved in adipose tissue inflammation and atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Adipose tissue inflammation and atherosclerosis are the main mechanisms behind type 2 diabetes and cardiovascular disease respectively, the major risks associated with the metabolic syndrome. Studies considering more than single factors behind the complexity of the metabolic syndrome are valuable to achieve a better and wider understanding of the metabolic syndrome. In this study common dysregulated pathways between adipose tissue inflammation and atherosclerosis were identified using two different bioinformatic tools to perform pathway analysis. First, we run a gene set enrichment analysis utilizing with data from two microarray experiments done with gonadal white adipose tissue and atherosclerotic aorta. Once the common dysregulated pathways between both tissues were identify, the inflammatory response and the oxidative phosphorylation pathways from the Hallmark geneset were selected to conduct a deeper checkup at the single gene level of these pathways. Second, we carried out a pathway analysis validation with the Panther software combining the microarray data with a published type 2 diabetes mellitus metanalysis and cardiovascular disease metanalysis which included human data. In conclusion, this study provides worthwhile data pointing out and describing several dysregulated and common pathways in adipose tissue inflammation and atherosclerotic aorta with a potential implication in the pathogenesis of type 2 diabetes and atherosclerosis.

Publication Title

Common dysregulated pathways in obese adipose tissue and atherosclerosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE36035
Expression data from melanoma subpopulations
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We aimed at identifying lymphangiogenic subpopulations by comparative analysis of single cell clones derived from a melanoma of a single patient. Selected clones were grafted into SCID mice, where they induced lymphangiogenesis and metastasized into sentinel nodes, whereas non-lymphangiogenic clones from the same patient did not metastasize. RNA isolated from primary SCID mouse tumors were used for transcriptome analysis.

Publication Title

MET expression in melanoma correlates with a lymphangiogenic phenotype.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE973
IL-1 stimulation of HUVEC
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Endothelial cells comprise a key component of the inflammatory response. HUVEC (human umbilical vein endothelial cells) were stimulated with interleukin-1 for 0, 0.5, 1, 2.5 and 6 hours, and analyzed using Affymetrix U133A microarrays, in order to obtain a comprehensive overview of the immediate early to early gene expression profiles. HUVEC were isolated and cultured on gelatine-coated cell culture dishes in M199 medium supplemented with 20% FCS, antibiotics, ECGS (endothelial cell growth supplement) and Heparin as described by Zhang et al., Blood 1996;88:3880-3886. HUVEC were stimulated with 100 U/ml human IL-1 (Biosource) for various periods of time, and total RNA isolated using the RNeasy kit (Qiagen) according to the manufacturer's instructions. Hybridization to one set of human U133A GeneChips (Affymetrix, Santa Clara, CA) and scanning of the arrays was carried out according to manufacturers protocols (https://www.affymetrix.com). Briefly, 5 g of total RNA was used to generate double-stranded cDNA by reverse transcription using a cDNA synthesis kit (Superscript Choice System; Life Technologies, Inc., Rockville, MD) that uses an oligo(dT)24 primer containing a T7 RNA polymerase promoter 3' to the polyT (Geneset, La Jolla, CA), followed by second-strand synthesis. Labeled cRNA was prepared from the double-stranded cDNA by in vitro transcription using T7 RNA polymerase in the presence of biotin-11-CTP and biotin-16-UTP (Enzo, Farmington, NY). The labeled cRNA was purified over RNeasy columns (Qiagen, Valencia, CA). Fifteen g of cRNA was fragmented at 94C for 35 minutes in 40 mmol/L of Tris-acetate, pH 8.1, 100 mmol/L of potassium acetate, and 30 mmol/L of magnesium acetate. The cRNA was then used to prepare 300 l of hybridization cocktail (100 mmol/L MES, 1 mol/L NaCl, 20 mmol/L ethylenediaminetetraacetic acid, 0.01% Tween 20) containing 0.1 mg/ml of herring sperm DNA (Promega, Madison, WI) and 500 g/ml of acetylated bovine serum albumin (Life Technologies, Inc.). Before hybridization, the cocktails were heated to 94C for 5 minutes, equilibrated at 45C for 5 minutes, and then clarified by centrifugation (16,000 x g) at room temperature for 5 minutes. Aliquots of this hybridization cocktail containing 15 g of fragmented cRNA were hybridized to HU133A arrays (Affymetrix, Santa Clara, CA) at 45C for 16 hours in a rotisserie oven at 60 rpm. The arrays were washed using non-stringent buffer (6xSSPE: 0.9 M sodium chloride, 0.06 M sodium phosphate, 6 mM EDTA pH 7.4) at 25C, followed by stringent buffer (100 mmol/L MES, pH 6.7, 0.1 mol/L NaCl, 0.01% Tween 20) at 50C. The arrays were stained with streptavidin-phycoerythrin (Molecular Probes, Eugene, OR), washed with 6xSSPE, incubated with biotinylated anti-streptavidin IgG, stained again with streptavidin-phycoerythrin, and washed again with 6xSSPE. The arrays were scanned using the GeneArray scanner (Affymetrix). Image analysis was performed with GeneChip software (Affymetrix, MAS 5.0). Normalization was performed by global scaling, with the arrays scaled to an average intensity of 500.

Publication Title

Deciphering regulatory patterns of inflammatory gene expression from interleukin-1-stimulated human endothelial cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10778
Comparison of VEGF versus EGF gene expression in HUVEC
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Angiogenesis is defined as the formation of new capillaries by sprouting from preexisting vessels. It is mainly triggered by vascular endothelial growth factor (VEGF) and occurs in the adult primarily in wound healing processes or in pathologic tumor vessel growth. To identify genes specifically triggered by VEGF and involved in the process of angiogenesis, we utilized Affymetrix microarrays hybridized with cRNA of human umbilical vein endothelial cells (HUVEC) stimulated with either the main trigger of angiogenesis, VEGF or a more general mitogenic growth factor, EGF.

Publication Title

The VEGF-induced transcriptional response comprises gene clusters at the crossroad of angiogenesis and inflammation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20510
Gene expression profiles of trophoblast cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Invasive extravillous trophoblasts (EVTs) of the human placenta are critically involved in successful pregnancy outcome since they remodel the uterine spiral arteries to increase blood flow and oxygen delivery to the placenta and the developing fetus. To gain more insights into their biological role different primary cell culture models are commonly utilised. However, access to early placental tissue may be limited and primary trophoblasts rapidly cease proliferation in vitro impairing genetic manipulation. Hence, trophoblastic cell lines have been widely used as surrogates to study EVT function. Although the cell lines share some molecular marker expression with their primary counterpart, it is unknown to what extent they recapture the invasive phenotype of EVT. Therefore, we here report the first thorough GeneChip analyses of SGHPL-5, HTR-8/SVneo, BeWo, JEG-3 and the novel ACH-3P trophoblast cells in comparison to previously analysed primary villous cytrophoblasts and extravillous trophoblasts.

Publication Title

Trophoblast invasion: assessment of cellular models using gene expression signatures.

Sample Metadata Fields

Specimen part

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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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