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accession-icon GSE33201
A mouse model of the most aggressive subgroup of human medulloblastoma
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A mouse model of the most aggressive subgroup of human medulloblastoma.

Alternate Accession IDs

E-GEOD-33201

Sample Metadata Fields

Specimen part

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accession-icon GSE33199
A mouse model of the most aggressive subgroup of human medulloblastoma [Mouse430_2]
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon

Description

Mouse models of medulloblastoma are compared to human subgroups through microarray expression and other measures

Publication Title

A mouse model of the most aggressive subgroup of human medulloblastoma.

Alternate Accession IDs

E-GEOD-33199

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21687
Comparative genomics matches mutations and cells to generate faithful ependymoma models
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon

Description

Genomic technologies have unmasked molecularly distinct subgroups among tumors of the same histological type; but understanding the biologic basis of these subgroups has proved difficult since their defining alterations are often numerous, and the cellular origins of most cancers remain unknown. We sought to decipher complex genomic data sets by matching the genetic alterations contained within these, with candidate cells of origin, to generate accurate disease models. Using an integrated genomic analysis we first identified subgroups of human ependymoma: a form of neural tumor that arises throughout the central nervous system (CNS). Validated alterations included amplifications and homozygous deletions of genes not yet implicated in ependymoma. Matching the transcriptomes of human ependymoma subgroups to those of distinct types of mouse radial glia (RG)neural stem cells (NSCs) that we identified previously to be a candidate cell of origin of ependymoma - allowed us to select RG types most likely to represent cells of origin of disease subgroups. The transcriptome of human cerebral ependymomas that amplify EPHB2 and delete INK4A/ARF matched most closely that of embryonic cerebral Ink4a/Arf-/- RG: remarkably, activation of EphB2 signaling in this RG type, but not others, generated highly penetrant ependymomas that modeled accurately the histology and transcriptome of one human cerebral tumor subgroup (subgroup D). Further comparative genomic analysis revealed selective alterations in the copy number and expression of genes that regulate neural differentiation, particularly synaptogenesis, in both mouse and human subgroup D ependymomas; pinpointing this pathway as a previously unknown target of ependymoma tumorigenesis. Our data demonstrate the power of comparative genomics to sift complex genetic data sets to identify key molecular alterations in cancer subgroups.

Publication Title

Cross-species genomics matches driver mutations and cell compartments to model ependymoma.

Alternate Accession IDs

E-GEOD-21687

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE26069
Inducible Astrocytomas in Genetically Engineered Mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Evolutionary etiology of high-grade astrocytomas.

Alternate Accession IDs

E-GEOD-26069

Sample Metadata Fields

Sex, Time

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accession-icon GSE26002
Inducible Astrocytomas in Genetically Engineered Mice: Affymetrix
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

To determine the regulatory pathways necessary for astrocytoma formation within complex adult brain microenvironments, we engineered mice for adult astrocyte-specific disruption of key regulators (pRb, Kras and Pten). Drivers of all astrocytoma grades were identified using CreERTM-inducible alleles. Inactivation of pRb was necessary to initiate grade II disease, and was the only lesion to do so. Additional activation of Kras progressed disease to grade III, while further Pten inactivation facilitated grade IV (glioblastoma) progression. These outcomes were elicited whether somatic events were induced broadly or focally. In vivo inactivation of pRb, which induced astrocyte proliferation and apoptosis, activated the MAPK pathway, while Kras activation and Pten loss triggered PI3K pathways.

Publication Title

Evolutionary etiology of high-grade astrocytomas.

Alternate Accession IDs

E-GEOD-26002

Sample Metadata Fields

Sex, Time

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accession-icon GSE53590
Dietary fat disturbance of of gut microbial diurnal patterns uncouples host metabolic networks.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

Diet-induced obesity (DIO) is rapidly becoming a global health problem, particularly as Westernization of emerging nations continues. Currently, one third of adult Americans are considered obese and, if current trends continue, >90% of US citizens are predicted to be affected by 2050. However, efforts to fight this epidemic have not yet produced sound solutions for prevention or treatment. Our studies reveal a balanced and chronobiological relationship between food consumption, daily variation in gut microbial evenness and function, basomedial hypothalamic circadian clock (CC) gene expression, and key hepatic metabolic regulatory networks , including CC and nuclear receptors (NR), that is are essential for metabolic homeostasis. Western diets high in saturated fats dramatically alter diurnal variation in microbial composition and function, which in turn lead to uncoupling of the hepatic CC and NR networks from central CC control in ways that offset the timing and types of regulatory factors directing metabolic function. These signals include microbial metabolites such as short chain fatty acids (SCFAs) and hydrogen sulfide (H2S) that can directly regulate or disrupt metabolic networks of the hepatocyte. Our study therefore provides insights into the complex and dynamic relationships between diet, gut microbes, and the host that are critical for maintenance of health. Perturbations of this constellation of processes, in this case by diet-induced dysbiosis and its metabolomic signaling, can potentially promote metabolic imbalances and disease. This knowledge opens up many possibilities for novel therapeutic and interventional strategies to treat and prevent DIO, ranging from the manipulation of gut microbial function to pharmacological targeting of host pathways to restore metabolic balance.

Publication Title

Effects of diurnal variation of gut microbes and high-fat feeding on host circadian clock function and metabolism.

Alternate Accession IDs

E-GEOD-53590

Sample Metadata Fields

Specimen part

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accession-icon GSE18004
Differential gene expression in stellate sympathetic ganglia after cardiac pressure overload
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

Transcriptom analysis of stellate sympathetic ganglia after 8 weeks of cardiac pressure overload caused by transverse aortic constriction.

Publication Title

Sympathetic alpha(2)-adrenoceptors prevent cardiac hypertrophy and fibrosis in mice at baseline but not after chronic pressure overload.

Alternate Accession IDs

E-GEOD-18004

Sample Metadata Fields

Sex

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accession-icon GSE28783
Effect of anti-miR-33 treatment on gene expression in mouse macrophages from atherosclerotic plaques.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

Inhibition of miR-33 results in increased cholesterol efflux and HDL-cholesterol levels in mice. In this study we examined the effect of miR-33 inhibition in a mouse model of atherosclerosis and observed significant reduction in atherosclerotic plaque size. At the end of the study, gene expression in macrophages from the atherosclerotic plaques was assessed.

Publication Title

Antagonism of miR-33 in mice promotes reverse cholesterol transport and regression of atherosclerosis.

Alternate Accession IDs

E-GEOD-28783

Sample Metadata Fields

Sex, Specimen part

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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
  • Technology Badge Icon

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.

Alternate Accession IDs

E-GEOD-13093

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13062
The effects of temporally restricted feeding on hepatic gene expression of Cry1, Cry2 double KO mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon

Description

Restricted feeding impacts the hepatic circadian clock of WT mice. Cry1, Cry2 double KO mice lack a circadian clock and are thus expected to show rhythmical gene expression in the liver. Imposing a temporally restricted feeding schedule on these mice shows how the hepatic circadian clock and rhythmic food intake regulate rhythmic transcription in parallel

Publication Title

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

Alternate Accession IDs

E-GEOD-13062

Sample Metadata Fields

No sample metadata fields

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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