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accession-icon GSE29485
Expression data from Mouse embryo
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

Mice lacking the function of the PcG protein CBX2 (also known as M33) show defects in gonadal, adrenal, and splenic development. In particular, XY knockout mice develop ovaries but not testes, and the gonads are hypoplastic in both sexes.

Publication Title

Cbx2, a polycomb group gene, is required for Sry gene expression in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE83326
Hepatic gene expression data from cadmium-exposed mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon

Description

Environmental cadmium, with a high average dietary intake, is a severe public health risk. However, the long-term health implications of environmental exposure to cadmium in different life stages remain unclear.

Publication Title

Sex-Dependent Effects of Cadmium Exposure in Early Life on Gut Microbiota and Fat Accumulation in Mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE24705
mRNA expression data from iPSCs, ntESCs and iPSC-nt-ESCs
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon

Description

We generated three kinds of genetically identical mouse reprogrammed cells: induced pluripotent stem cells (iPSCs), nuclear transfer embryonic stem cells (ntESCs) and iPSC-nt-ESCs that are established after successively reprogramming of iPSCs by nuclear transfer (NT). NtESCs show better developmental potential than iPSCs, whereas iPSC-nt-ESCs display worse developmental potential than iPSCs.

Publication Title

Different developmental potential of pluripotent stem cells generated by different reprogramming strategies.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE40661
Gata2 is a master regulator of endometrial function and progesterone signaling
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A Gata2-Dependent Transcription Network Regulates Uterine Progesterone Responsiveness and Endometrial Function.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE57642
Expression data from intestinal epithelial cells (IECs)
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE40660
Gata2 is a master regulator of endometrial function and progesterone signaling [Affymetrix]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon

Description

The role of Gata2 in regulating uterine function including fertility, implantation, decidualization and P4 signaling in the mouse was investigated by the conditional ablation of Gata2 in the uterus using the (PR-cre) mouse and ChIP-seq for in vivo GATA2 binding sites in the murine uterus upon acute P4 administration.

Publication Title

A Gata2-Dependent Transcription Network Regulates Uterine Progesterone Responsiveness and Endometrial Function.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE57641
Expression data from intestinal epithelial cells (IECs) [Mouse430_2 array]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

Polycomb group (PcG) proteins are epigenetic silencers whose dysregulation is frequently linked to cancer via mechanisms that remain unclear. Using conditional knock-out mice in a colitis-associated colorectal cancer (CAC) model, we found that Bmi1 and Mel18 are important initiation and maintenance factors during CAC tumorigenesis. Epithelial depletion of both Bmi1 and Mel18, but not either gene alone, significantly reduces tumor growth and multiplicity.

Publication Title

BMI1 and MEL18 Promote Colitis-Associated Cancer in Mice via REG3B and STAT3.

Sample Metadata Fields

Specimen part

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accession-icon GSE55489
Liver expression data from 31 mouse strains treated with vehicle or isoniazid for 3 days
  • organism-icon Mus musculus
  • sample-icon 215 Downloadable Samples
  • Technology Badge Icon

Description

Isoniazid induced varying degrees of hepatic steatosis in an inbred strain Mouse Diversity Panel (MDP) study. RNA was isolated from all animals for analysis of gene expression changes in the liver. The objective of this study was to identify gene expression changes that drive isoniazid-induced steatosis.

Publication Title

A systems biology approach utilizing a mouse diversity panel identifies genetic differences influencing isoniazid-induced microvesicular steatosis.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE17933
Transcriptional Biomarkers to Predict Female Mouse Lung Tumors in Rodent Cancer Bioassays - A 26 Chemical Set
  • organism-icon Mus musculus
  • sample-icon 190 Downloadable Samples
  • Technology Badge Icon

Description

The process for evaluating chemical safety is inefficient, costly, and animal intensive. There is growing consensus that the current process of safety testing needs to be significantly altered to improve efficiency and reduce the number of untested chemicals. In this study, the use of short-term gene expression profiles was evaluated for predicting the increased incidence of mouse lung tumors. Animals were exposed to a total of 26 diverse chemicals with matched vehicle controls over a period of three years. Upon completion, significant batch-related effects were observed. Adjustment for batch effects significantly improved the ability to predict increased lung tumor incidence. For the best statistical model, the estimated predictive accuracy under honest five-fold cross-validation was 79.3% with a sensitivity and specificity of 71.4 and 86.3%, respectively. A learning curve analysis demonstrated that gains in model performance reached a plateau at 25 chemicals, indicating that the size of the current data set was sufficient to provide a robust classifier. The classification results showed a small subset of chemicals contributed disproportionately to the misclassification rate. For these chemicals, the misclassification was more closely associated with genotoxicity status than efficacy in the original bioassay. Statistical models were also used to predict dose-response increases in tumor incidence for methylene chloride and naphthalene. The average posterior probabilities for the top models matched the results from the bioassay for methylene chloride. For naphthalene, the average posterior probabilities for the top models over-predicted the tumor response, but the variability in predictions were significantly higher. The study provides both a set of gene expression biomarkers for predicting chemically-induced mouse lung tumors as well as a broad assessment of important experimental and analysis criteria for developing microarray-based predictors of safety-related endpoints.

Publication Title

Use of short-term transcriptional profiles to assess the long-term cancer-related safety of environmental and industrial chemicals.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP348903
RNAseq analysis for lung resident cells from protease allergen and FK506 treated mice
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

There is evidence for the beneficial effect of FK506, an effective immunosuppressive agent, for the treatment of asthma however, the mechanisms underlying these effects are unclear. Using a mouse model of airway inflammation induced by Papain, a protease allergen, and RNAseq analysis of lung innate cells, we found that FK506 inhibited the activation of ILC2s, which initiate airway inflammation, as well as the induction of TH2 cells, which cause chronic inflammation. Our findings further support the clinical value of FK506 for the treatment of allergen-induced airway inflammation and clarify its targets and mechanisms of action. Overall design: Lung ILC2 cells, epithlial cells (type 1: AEC1 and type 2: AEC2), and basophils of mice were sorted and analyzed the transcriptome using Illumina HiSeq1500.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part, Genotype, Treatment, Subject

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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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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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