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accession-icon GSE77816
Expression analysis of WT and Zbtb4 -/- mouse primary fibroblasts
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

ZBTB4 is a mammalian transcription factor with Zinc fingers and a BTB/POZ domain, which can bind methylated CpGs, as well as certain unmethylated consensus sequences. ZBTB4 is frequently downregulated in human cancers, but it is unclear whether this is a cause or consequence of transformation. To investigate the role of ZBTB4 in normal and pathological conditions, we generated Zbtb4-/- mice

Publication Title

Loss of the Methyl-CpG-Binding Protein ZBTB4 Alters Mitotic Checkpoint, Increases Aneuploidy, and Promotes Tumorigenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE107876
Dissecting cell-intrinsic roles of MyD88 and IFN-I signalling in pDC responses to a viral infection in vivo
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Plasmacytoid dendritic cells (pDC) are the major source of type I interferons (IFN-I) during viral infections, in response to triggering of endosomal Toll Like Receptors (TLR) 7 or 9 by viral single-stranded RNA or unmethylated CpG DNA, respectively. IFN-I production in pDC occurs in specialized endosomes encompassing preformed signaling complexes of TLR7 or 9 with their adaptor molecule MyD88 and the transcription factor interferon regulatory factor 7 (IRF7). The triggering of TLR leads to IRF7 phosphorylation, nuclear translocation and binding to the promoters of the genes encoding IFN-I to initiate their transcription. pDC express uniquely high levels of IRF7 at steady state and this expression is further enhanced by positive IFN-I feedback signaling during viral infections. However, the specific cell-intrinsic roles of MyD88 versus IFN-I signaling in pDC responses to a viral infection have not been rigorously dissected. To achieve this aim, we generated mixed bone marrow chimera mice (MBMC) allowing to rigorously compare the gene expression profiles of WT versus Ifnar1-KO or MyD88-KO pDC isolated from the same animals at steady state or after infection with the mouse cytomegalovirus (MCMV). Our results indicate that, in vivo during MCMV infection, pDC undergo a major transcriptional reprogramming, under combined instruction of IFN-I, IFN- and direct TLR triggering. However, these different stimuli drive specific, largely distinct, gene expression programs. We rigorously determined which gene modules require cell-intrinsic IFN-I signaling for their induction in pDC during a physiological viral infection in vivo. We delineated non-redundant versus shared versus antagonistic responses with IFN-. We demonstrated that cell-intrinsic IFN-I responsiveness is dispensable for induction of the expression of all IFN-I/III genes and many cytokines or chemokines in pDC during MCMV infection, contrary to MyD88 signaling.

Publication Title

Molecular dissection of plasmacytoid dendritic cell activation <i>in vivo</i> during a viral infection.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE115450
Alignment of different types of resting or murine cytomegalovirus-activated mononuclear phagocytes across different datasets
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The goal of this experiment was to use global gene expression profiling to assess the global genetic reprogramming of different types of splenic mononuclear phagocytes early after MCMV infection in vivo. This study includes new samples (GSM3178486-GSM3178497; available below) profiling splenic CD11b+ conventional dendritic cells (cDC2), classical monocytes (cMo) and red pulp macrophages (RPM) from untreated or day 1.5 MCMV-infected mice together with re-analysis of previously published data in order to examine the similarities in the pDC gene expression profiles across datasets.

Publication Title

Molecular dissection of plasmacytoid dendritic cell activation <i>in vivo</i> during a viral infection.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE115194
Gene expression in Dmxl2 knockout and wild type gonads at birth in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Testicular and ovarian gene expression changes with loss of DMXL2

Publication Title

Dual role of DMXL2 in olfactory information transmission and the first wave of spermatogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE150664
Dissecting the molecular programs governing interferon production by plasmacytoid dendritic cells during a viral infection in vivo
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Plasmacytoid dendritic cells (pDC) are the major source of type I and type III interferons (IFN-I/III) during viral infections, in response to triggering of endosomal Toll Like Receptors (TLRs) 7 or 9 by viral single-stranded RNA or unmethylated CpG DNA, respectively. Interestingly, this function is restricted to a minor fraction of pDC (Zucchini et al. Int. Immunol. 2008). In this project, we aimed at identifying the molecular pathways involved in inducing IFN-I/III production in this minor faction of pDC during in vivo infection by the mouse cytomegalovirus (MCMV). To achive this goal, we infected with MCMV Ifnb1Eyfp mice, in which IFN-producing pDC can be detected by YFP expression (Scheu et al. PNAS 2008). Thanks to this model, we were able to sort three distinct subsets of pDC: CD86-YFP- (not activated, non IFN-producing), CD86+YFP- (activated, non IFN-producing) and CD86+YFP+ (activated, IFN-producing) and to perform microarray analysis. This allowed us to select genes differentially expressed among these three subsets and to mine these data in order to identify the related signaling pathways.

Publication Title

The activation trajectory of plasmacytoid dendritic cells in vivo during a viral infection.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE71717
Expression data from Human Ishikawa cells treated with Genistein
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study provides a comprehensive evaluation of changes in gene expression during treatment with Genistein in vitro.

Publication Title

Dose- and Time-Dependent Transcriptional Response of Ishikawa Cells Exposed to Genistein.

Sample Metadata Fields

Treatment

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accession-icon GSE11869
The genomic response of a human uterine endometrial adenocarcinoma cell line to 17alpha-ethynyl estradiol.
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have determined the gene expression profile induced by 17 alpha-ethynyl estradiol (EE) in Ishikawa cells, a human uterine-derived estrogen-sensitive cell line, at various doses (1 pM, 100 pM, 10 nM, and 1 microM) and time points (8, 24, and 48 h). The transcript profiles were compared between treatment groups and controls (vehicle-treated) using high-density oligonucleotide arrays to determine the expression level of approximately 38,500 human genes. By trend analysis, we determined that the expression of 2560 genes was modified by exposure to EE in a dose- and time-dependent manner (p </= 0.0001). The annotation available for the genes affected indicates that EE exposure results in changes in multiple molecular pathways affecting various biological processes, particularly associated with development, morphogenesis, organogenesis, cell proliferation, cell organization, and biogenesis. All of these processes are also affected by estrogen exposure in the uterus of the rat. Comparison of the response to EE in both the rat uterus and the Ishikawa cells showed that 71 genes are regulated in a similar manner in vivo as well as in vitro. Further, some of the genes that show a robust response to estrogen exposure in Ishikawa cells are well known to be estrogen responsive, in various in vivo studies, such as PGR, MMP7, IGFBP3, IGFBP5, SOX4, MYC, EGR1, FOS, CKB, and CCND2, among others. These results indicate that transcript profiling can serve as a viable tool to select reliable in vitro systems to evaluate potential estrogenic activities of target chemicals and to identify genes that are relevant for the estrogen response.

Publication Title

The genomic response of a human uterine endometrial adenocarcinoma cell line to 17alpha-ethynyl estradiol.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-999
Transcription profiling by array of rat uterus after treatment with 17 alpha-ethynyl estradiol
  • organism-icon Rattus norvegicus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

The rat uterus responds to acute estrogen treatment with a series of well characterized physiological responses; however, the gene expression changes required to elicit these responses have not been fully characterized. In order to understand early events induced by estrogen exposure in vivo, we evaluated the temporal gene expression in the uterus of the immature rat after a single dose of 17 Alpha-ethynyl estradiol (EE) by microarray analysis, evaluating the expression of 15,923 genes. Immature 20 day old rats were exposed to a single dose of EE (10 ug/kg) and the effect on uterine histology, weight and gene expression were determined after 1, 2, 8, 24, 48, 72 and 96 h. EE induced changes in the expression of 3,867 genes, at least at one time point (p¡Ü0.0001), and at least 1.5 fold (up- or down-regulated). Specifically, the expression of 8, 116, 3030, 2076, 381, 445, and 125 genes was modified at 1, 2, 8, 24, 48, 72 or 96 hours after exposure to EE respectively (p¡Ü0.0001, t Test). At the tissue and organ level, a clear uterotrophic response was elicited by EE after only 8 h, reaching a maximum after 24 h and remaining detectable even after 96 h of exposure. The uterine phenotypic changes were induced by sequential changes in the transcriptional status of a large number of genes, in a program that involves multiple molecular pathways. Using the gene ontology to better understand the temporal response to estrogen exposure, we determined that the earliest changes were in the expression of genes whose products are involved in transcriptional regulation and signal transduction, followed by genes implicated in protein synthesis, energy utilization, solute transport, cell proliferation and differentiation, tissue remodeling and immunological responses among other pathways. The compendium of genes here presented represents a comprehensive compilation of estrogen-responsive genes involved in the uterotrophic response.

Publication Title

Uterine temporal response to acute exposure to 17alpha-ethinyl estradiol in the immature rat.

Sample Metadata Fields

Sex, Age, Specimen part, Compound, Time

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accession-icon GSE17624
Expression data from human Ishikawa cells treated with Bisphenol A
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study provides a comprehensive evaluation of changes in gene expression during treatment with Bisphenol A in vitro.

Publication Title

The genomic response of Ishikawa cells to bisphenol A exposure is dose- and time-dependent.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE40348
Hepatotoxicity
  • organism-icon Rattus norvegicus
  • sample-icon 300 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A novel transcriptomics based in vitro method to compare and predict hepatotoxicity based on mode of action.

Sample Metadata Fields

Sex, Time

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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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