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accession-icon GSE56345
Therapeutic potential of spleen tyrosine kinase inhibition for treatment of high-risk precursor B-cell acute lymphoblastic leukemia
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

This study revealed pathogenic role of pre-BCR-independent SYK activation in high-risk B-ALL.

Publication Title

Therapeutic potential of spleen tyrosine kinase inhibition for treating high-risk precursor B cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE112449
Microarray analysis comparing gene expression of callus tissue extracted from either Cyp24a1-null mice or their control heterozygous littermates
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

The 24R,25-dihydroxyvitamin D metabolite (24R,25D) has long been suspected of participating to bone fracture repair. We used Cyp24a1-deficient mice, unable to produce 24R25D, to observe gene expression in callus tissue compared to that of control littermates.

Publication Title

Optimal bone fracture repair requires 24R,25-dihydroxyvitamin D3 and its effector molecule FAM57B2.

Sample Metadata Fields

Age, Specimen part, Treatment, Time

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accession-icon GSE11261
Study of activity-regulated genes in mouse primary cultured neurons
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
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Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Activity-dependent regulation of inhibitory synapse development by Npas4.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11258
Npas4-regulated genes in mouse hippocampal neurons
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
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Description

we performed a DNA microarray experiment to identify activity-regulated genes that are misregulated in the absence of Npas4.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73484
Expression data of LPS-induced genes in bone marrow derived macrophages
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

TLR ligands consistently induce expression of two Hes family members Hes1 and Hey1 in macrophages.To evaluate the effects of these two factors on inflammatory responses, we generated mice lacking both Hes1 and Hey1 (DKO). WT and DKO BMDMs were then untreated or exposed to LPS for 3 hours, and microarray was performed to examine global gene expression profiles to identify Hes1 and Hey1-regulated inflammatory genes

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE29975
Expression data from FOG1+/- (or FOG1+/+) and FOG1 ki/ki mouse megakaryocyte (Meg)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

The transcription co-factor FOG1 interacts with the chromatin remodeling complex NuRD to mediate gene activation and gene repression during hematopoiesis. We have generated mice with a targeted mutation in the endogenous Fog1 locus that results in an N-ternimal mutation in FOG1 that disrupts the interaction with NuRD.

Publication Title

Pleiotropic platelet defects in mice with disrupted FOG1-NuRD interaction.

Sample Metadata Fields

Specimen part

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accession-icon GSE21041
Transcriptome analysis of miR-144/451-null bone marrow erythroid cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

microRNA miR-144/451 is highly expressed during erythropoiesis. We deleted the miR-144/451 gene locus in mice and compared the transcriptomes of miR-144/451-null bone marrow erythroid precursors to stage-matched wild-type control cells.

Publication Title

miR-451 protects against erythroid oxidant stress by repressing 14-3-3zeta.

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 GSE13093
Feeding schedule and the circadian clock shape rhythms in hepatic gene expression
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
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Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.

Sample Metadata Fields

No sample metadata fields

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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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