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accession-icon GSE10082
Aryl Hydrocarbon Receptor Regulates Distinct Dioxin-Dependent and Dioxin-Independent Gene Batteries
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Conventional biochemical and molecular techniques identified previously several genes whose expression is regulated by the aryl hydrocarbon receptor (AHR). We sought to map the complete spectrum of AHR-dependent genes in male adult liver using expression arrays to contrast mRNA profiles in Ahr-null mice (Ahr/) with those in mice with wild-type AHR (Ahr+/+). Transcript profiles were determined both in untreated mice and in mice treated 19 h earlier with 1000 g/kg 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Expression of 456 ProbeSets was significantly altered by TCDD in an AHR-dependent manner, including members of the classic AHRE-I gene battery, such as Cyp1a1, Cyp1a2, Cyp1b1, and Nqo1. In the absence of exogenous ligand, AHR status alone affected expression of 392 ProbeSets, suggesting that the AHR has multiple functions in normal physiology. In Ahr/ mice, only 32 ProbeSets exhibited responses to TCDD, indicating that the AHR is required for virtually all transcriptional responses to dioxin exposure in liver. The flavin-containing monooxygenases, Fmo2 and Fmo3, considered previously to be uninducible, were highly induced by TCDD in an AHR-dependent manner. The estrogen receptor alpha as well as two estrogen-receptor-related genes (alpha and gamma) exhibit AHR-dependent expression, thereby extending cross-talk opportunities between the intensively studied AHR and estrogen receptor pathways. p53 binding sites are over-represented in genes down-regulated by TCDD, suggesting that TCDD inhibits p53 transcriptional activity. Overall, our study identifies a wide range of genes that depend on the AHR, either for constitutive expression or for response to TCDD.

Publication Title

Aryl hydrocarbon receptor regulates distinct dioxin-dependent and dioxin-independent gene batteries.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4883
Simvastatin has an anti-inflammatory effect on macrophages via upregulation of Kruppel-like factor-2
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

HMG-CoA reductase inhibitors, statins, have beneficial vascular effects beyond their cholesterol-lowering action. These pleiotropic effects include an anti-inflammatory effect on macrophages. Since macrophages play a central role in atherogenesis, we further characterized the effects on peripheral blood monocyte-macrophages (HPBM). Using Affymetrix gene chip analysis of simvastatin-treated HPBM, we found that simvastatin treatment lead to the downregulation of the expression of many proinflammatory genes including several chemokines (e.g. MCP-1, MIP-1 alpha and , RANTES, several other CC and CXC chemokines, IL-2 receptor-, and leukemia inhibitory factor), members of the tumor necrosis factor family (e.g. lymphotoxin beta and TRAIL), VCAM-1, ICAM-3, and tissue factor (TF). Simvastatin also modulated the expression of several transcription factors essential for the inflammatory response: simvastatin downregulated the expression of NF-kappaB relA/p65 subunit and ets-1 transcription factor, and upregulated the expression of a novel atheroprotective transcription factor, Kruppel-like factor 2 (KLF-2). The effects of simvastatin on KLF-2 and its target genes were dependent on protein prenylation, since inhibitors of protein prenylation had a similar inhibitory effect in THP-1 derived macrophages. Additionally, by lentiviral overexpression KLF-2 we showed that the effect of simvastatin on MCP-1 and TF were dependent on KLF-2. We concluded that simvastatin had a strong anti-inflammatory effect on macrophages, which includes upregulation of the atheroprotective transcription factor KLF-2. These findings further explain the beneficial pleiotropic effects of statins on cardiovascular diseases.

Publication Title

Simvastatin has an anti-inflammatory effect on macrophages via upregulation of an atheroprotective transcription factor, Kruppel-like factor 2.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP093990
Retinoic Acid Induced Transcriptional Repressor HIC1 is Required for Suppressive Function of Human Induced Regulatory T cells [RNA-Seq 2]
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human CD4 positive T cells were isolated from cord blood using CD4 positive isolation kit from Dynal. Cells were activated with plate bound anti-CD3 and soluble anti-CD28 in presence (iTreg) or absence (Th0) of IL2, TGF beta and ATRA. The cells were harvested at 0, 0.5, 1, 2, 4, 6, 12, 24, 48, and 72 hours. Overall design: Comparing the gene expression in activated CD4+ cells and iTreg differentiated cells in human. 9 time points, 3 replicates for each time point.

Publication Title

Transcriptional Repressor HIC1 Contributes to Suppressive Function of Human Induced Regulatory T Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE55187
Partial phenotypic rescue of the Sesb1 mitochondrial ANT1 disease model in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Study of gene expression patterns of Drosophila melanogaster Sesb1 mutants compared to wild type

Publication Title

Phenotypic rescue of a Drosophila model of mitochondrial ANT1 disease.

Sample Metadata Fields

Sex

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accession-icon GSE32959
An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this dataset was to study in detail the transcription kinetics initiated by cytokines IL-12 and IL-4 in early differentiation of Th1 and Th2 cells, respectively.

Publication Title

An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE17241
Genome-wide analysis of SATB1 target genes in human T helper cells
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

Special AT-rich binding protein 1 (SATB1) is a global chromatin organizer and a transcription factor induced by interleukin-4 (IL-4) during the early T helper 2 (Th2) cell differentiation. In this study, we investigated the role of SATB1 in T helper cell differentiation by performing gene expression profiling of human differentiating Th cells in which expression of SATB1 was downregulated by RNA interference (RNAi). Our results indicate that SATB1 is involved in the regulation of more than three hundred genes in primary human CD4+ T cells, including several IL-12 and/or IL-4 regulated factors, suggesting a role in the development or function of Th subtypes.

Publication Title

SATB1 dictates expression of multiple genes including IL-5 involved in human T helper cell differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35103
Gene expression profiling of human Th17 cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The study aims at identifying transcriptional changes induced by in vitro polarization of human cord blood CD4+ cells towards Th17 subtype with combination of IL6, IL1b and TGFb by using timeseries data.

Publication Title

Identification of early gene expression changes during human Th17 cell differentiation.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE39444
Nanotoxicogenomic study of ZnO and TiO2 responses
  • organism-icon Homo sapiens
  • sample-icon 161 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiling of immune-competent human cells exposed to engineered zinc oxide or titanium dioxide nanoparticles.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE39316
Nanotoxicogenomic study of ZnO and TiO2 responses (Illumina)
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

A comprehensive in vitro assessment of two commercial metal oxide nanoparticles, TiO2 and ZnO, was performed using human monocyte-derived macrophages (HMDM), monocyte-derived dendritic cells (MDDC), and T cell leukemia-derived cell line (Jurkat). TiO2 nanoparticles were found to be non-toxic whereas ZnO nanoparticles caused dose-dependent cell death. Subsequently, global gene expression profiling was performed to identify signaling pathways underlying the cytotoxicity caused by ZnO nanoparticles. Analysis was done with doses, 1g/ml and 10g/ml after 6 and 24 hours of exposure. Interestingly, 2703 genes were significantly differentially expressed in HMDM upon exposure to 10g/ml ZnO nanoparticles, while in MDDCs only 12 genes were affected. In Jurkat cells, 980 genes were differentially expressed. It is noteworthy that the gene expression of metallothioneins was upregulated in all the three cell types. In addition to the common ZnO-inducible changes, a notable proportion of the genes were regulated in a cell type-specific manner. Using a panel of ZnO nanoparticles, we obtained an additional support that the cellular response to ZnO nanoparticles is caused by particle dissolution. Gene ontology analysis revealed that the top biological processes disturbed in HMDM and Jurkat cells were regulating cell death and growth. In addition, genes controlling immune system development were affected. Bioinformatics assessment showed that the top human disease category associated with ZnO-responsive genes in both HMDM and Jurkat cells was cancer. Overall, the study revealed novel genes and pathways for mediating ZnO nanoparticle-induced toxicity and demonstrated the value of assessing nanoparticle responses through combined transcriptomics and bioinformatics approach.

Publication Title

Gene expression profiling of immune-competent human cells exposed to engineered zinc oxide or titanium dioxide nanoparticles.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE39330
Nanotoxicogenomic study of ZnO and TiO2 responses (Affymetrix)
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

A comprehensive in vitro assessment of two commercial metal oxide nanoparticles, TiO2 and ZnO, was performed using human monocyte-derived macrophages (HMDM), monocyte-derived dendritic cells (MDDC), and T cell leukemia-derived cell line (Jurkat). TiO2 nanoparticles were found to be non-toxic whereas ZnO nanoparticles caused dose-dependent cell death. Subsequently, global gene expression profiling was performed to identify signaling pathways underlying the cytotoxicity caused by ZnO nanoparticles. Analysis was done with doses, 1ug/ml and 10ug/ml after 6 and 24 hours of exposure. Interestingly, 2703 genes were significantly differentially expressed in HMDM upon exposure to 10ug/ml ZnO nanoparticles, while in MDDCs only 12 genes were affected. In Jurkat cells, 980 genes were differentially expressed. It is noteworthy that the gene expression of metallothioneins was upregulated in all the three cell types. In addition to the common ZnO-inducible changes, a notable proportion of the genes were regulated in a cell type-specific manner. Using a panel of ZnO nanoparticles, we obtained an additional support that the cellular response to ZnO nanoparticles is caused by particle dissolution. Gene ontology analysis revealed that the top biological processes disturbed in HMDM and Jurkat cells were regulating cell death and growth. In addition, genes controlling immune system development were affected. Bioinformatics assessment showed that the top human disease category associated with ZnO-responsive genes in both HMDM and Jurkat cells was cancer. Overall, the study revealed novel genes and pathways for mediating ZnO nanoparticle-induced toxicity and demonstrated the value of assessing nanoparticle responses through combined transcriptomics and bioinformatics approach.

Publication Title

Gene expression profiling of immune-competent human cells exposed to engineered zinc oxide or titanium dioxide nanoparticles.

Sample Metadata Fields

Treatment, Time

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)

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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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