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accession-icon GSE13567
US28-expressing and mock-transfected stable NIH-3T3 cell lines
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The human cytomegalovirus (HCMV) encodes the chemokine receptor US28 that exhibits constitutive activity. NIH-3T3 cells stably transfected with US28 present a pro-angiogenic and transformed phenotype both in vitro and in vivo.

Publication Title

The human cytomegalovirus-encoded chemokine receptor US28 promotes angiogenesis and tumor formation via cyclooxygenase-2.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16969
Gene expression analysis of TSC-tubers reveals increased expression of adhesion and inflammatory factors
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cortical tubers in patients with tuberous sclerosis complex (TSC) are associated with cognitive disability and intractable epilepsy. While these developmental malformations are believed to result from the effects of TSC1 or TSC2 Gene mutations, the molecular mechanisms leading to tuber formation during brain development as well as the onset of seizures remain largely unknown. We used the Affymetrix Gene Chip platform as a genome-wide strategy to define the Gene expression profile of cortical tubers resected during epilepsy surgery compared to histologically normal perituberal tissue (adjacent to the cortical tuber) from the same patients or autopsy control tissue.

Publication Title

Gene expression analysis of tuberous sclerosis complex cortical tubers reveals increased expression of adhesion and inflammatory factors.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE29331
Expression data from diclofenac-treated yeast cells
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Diclofenac is a widely used analgesic drug that can cause serious adverse drug reactions. We used Saccharomyces cerevisiae as model eukaryote to elucidate the molecular mechanisms of diclofenac toxicity and resistance. Although most yeast cells died during initial diclofenac treatment, some survived and started growing again. Microarray analysis of the adapted cells identified three major processes involved in diclofenac detoxification and tolerance. Especially pleiotropic drug resistance genes and genes under control of Rlm1p, a transcription factor in the protein kinase C (PKC) pathway, were upregulated in diclofenac-adapted cells. Genes involved in ribosome biogenesis and rRNA processing were downregulated, as well as zinc-responsive genes.

Publication Title

Involvement of the pleiotropic drug resistance response, protein kinase C signaling, and altered zinc homeostasis in resistance of Saccharomyces cerevisiae to diclofenac.

Sample Metadata Fields

Treatment

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accession-icon GSE20952
Discriminating reprotoxic and non-reprotoxic phthalates by transcriptomics analysis of rat testis
  • organism-icon Rattus norvegicus
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

REACH, the EU regulation on chemicals and their safe use, stipulates that about 30,000 chemical substances are to be assessed on their possible risks. Toxicological evaluation of these compounds will at least partly be based on animal testing. Especially reproductive toxicity is one of the most complicated, time-consuming and expensive in vivo endpoints. Introducing microarray-based endpoints can potentially refine in vivo toxicity testing. If compounds from a distinct chemical class induce reproducible gene-expression responses with a recognizable overlap, these gene-expression signatures may indicate intrinsic features of certain compounds, including toxicity. In the present study, we investigated this theory for the reproductive toxicity of phthalates.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Compound

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accession-icon GSE30803
Genome-wide mRNA profiling of adult human pancreatic beta and duct cells in comparison to other human tissues
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Aims: establishment of reference samples to investigate gene expression selective for endocrine or ductal-exocrine cells within the adult human pancreas. To this end, human islet endocrine cells, FACS-enriched in insulin+ cells, (n=3) and human exocrine ductal cells (n=2) are compared on Affymetrix HG133A platform with duplicate hybridizations of a panel of other primary human tissues.

Publication Title

Clusters of conserved beta cell marker genes for assessment of beta cell phenotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE30802
Plasticity of adult human pancreatic duct cells by neurogenin3-mediated reprogramming
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Aims/hypothesis: Duct cells isolated from adult human pancreas can be reprogrammed to express islet beta cell genes by adenoviral transduction of the developmental transcription factor neurogenin3 (Ngn3). In this study we aimed to fully characterize the extent of this reprogramming and intended to improve it.

Publication Title

Plasticity of adult human pancreatic duct cells by neurogenin3-mediated reprogramming.

Sample Metadata Fields

Specimen part

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accession-icon GSE74000
Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study we conducted transcriptomics analyses of: (i) liver samples from patients suffering from acetaminophen-induced acute liver failure (n=3) and from healthy livers (n=2) and (ii) hepatic cell systems exposed to acetaminophen, including their respective vehicle controls. The investigated in vitro systems are: HepaRG cells, HepG2 cells and a novel human skinpostnatal stem cell-derived model i.e. human skin-precursors-derived hepatocyte-like cells (hSKP-HPC).

Publication Title

Gene expression data from acetaminophen-induced toxicity in human hepatic <i>in vitro</i> systems and clinical liver samples.

Sample Metadata Fields

Specimen part, Disease stage, Cell line

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accession-icon GSE64468
Molecular mechanism of flocculation self-recognition in yeast and its role in mating and survival
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Saccharomyces cerevisiae flocculation occurs when fermentable sugars are limiting and is therefore considered as a way to enhance the survival chance of Flo-expressing yeast cells. In this paper, the role of Flo1p in mating was demonstrated by showing that the mating efficiency, which contributes to the increased survival rate as well by generating genetic variability, is increased when cells flocculate. This was revealed by liquid growth experiments in a low shear environment and differential transcriptome analysis of FLO1 expressing cells compared to the non-flocculent wild-type cells. The results show that a floc provides a uniquely organized multicellular ultrastructure that provides a suitable microenvironment to induce and perform cell conjugation.

Publication Title

Molecular mechanism of flocculation self-recognition in yeast and its role in mating and survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19959
Premature progesterone rise
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Premature progesterone (P) rise during GnRH antagonist cycles for IVF is a frequent phenomenon and has been associated with lower pregnancy and implantation rates. Different thresholds of progesterone have been used so far to define its premature rise during the follicular phase of an IVF stimulated cycle. In this study, we evaluated endometrial gene expression on the day of oocyte retrieval according to the level of serum progesterone on the day of hCG administration in GnRH antagonist cycles.Endometrial biopsies from eleven patients were taken with a Pipelle de Cornier (Prodimed, Neuilly-en-Thelle, France) on the day of oocyte retrieval in a GnRH antagonist/rec-FSH stimulated IVF cycle with fresh embryo transfer. Biopsies were analysed for gene expression with Affymetrix Human Genome (HG) U133 Plus 2.0 Arrays and GCOS software (Affymetrix, Santa Clara, CA, USA). Patients were divided into three different groups according to their progesterone serum concentration on the day of hCG administration (A) P <= 0.9 ng/mL, (B) 1 < P < 1.5 ng/mL, and (C) P > 1.5 ng/mL. Serum P was measured with the automated Elecsys immunoanalyser (Roche Diagnostics, Mannheim, Germany). Selected differentially expressed genes were validated with quantitative real-time PCR (QPCR) with TaqMan Gene Expression Assays (Applied Biosystems, Foster City, CA, USA).

Publication Title

Progesterone rise on HCG day in GnRH antagonist/rFSH stimulated cycles affects endometrial gene expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE51882
Early Mouse Hepatic Stellate Cell Activation
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Early during culture of primary mouse HSCs gene expression changes.

Publication Title

Gene expression profiling of early hepatic stellate cell activation reveals a role for Igfbp3 in cell migration.

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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