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accession-icon GSE15808
Global changes in processing of 3'-UTR characterize clinically distinct tumor types
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon

Description

We used a novel probe-level microarray analysis, revealing connections between mRNA processing and lymphoid neoplasia, in a mouse leukemia model. Characteristic differences in mRNA processing, primarily in the 3-untranslated region, distinguished histologically similar tumor subtypes with different survival characteristics. Gene sets with specific processing in each tumor subtype defined signatures useful for tumor subclassification, as demonstrated by internal cross-validation with up to 80% discrimination accuracy. A combination of mRNA expression and sequence analysis suggested that differences in isoform abundance likely arose from both alternative polyadenylation and differential degradation.

Publication Title

Global changes in processing of mRNA 3' untranslated regions characterize clinically distinct cancer subtypes.

Sample Metadata Fields

Specimen part

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accession-icon GSE10162
Transcriptional Adaptation to Clcn5 Knockout in Proximal Tubules of the Mouse Kidney
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
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Description

Dent disease has multiple defects attributed to proximal tubule malfunction including low molecular weight proteinuria, aminoaciduria, phosphaturia and glycosuria. In order to understand the changes in kidney function of the Clc5 transporter gene knockout mouse model of Dent disease, we examined gene expression profiles from proximal tubules of mouse kidneys.

Publication Title

Transcriptional adaptation to Clcn5 knockout in proximal tubules of mouse kidney.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28598
Protection from obesity and diabetes by blockade of TGF-beta/Smad3 signaling
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
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Description

Imbalances in glucose and energy homeostasis are at the core of the worldwide epidemic of obesity and diabetes. Here, we illustrate an important role of the TGF-beta/Smad3 signaling pathway in regulating glucose and energy homeostasis. Smad3 deficient mice are protected from diet-induced obesity and diabetes. Interestingly, the metabolic protection is accompanied by Smad3-/- white adipose tissue acquiring the bioenergetic and gene expression profile of brown fat/skeletal muscle. Smad3-/- adipocytes demonstrate a marked increase in mitochondrial biogenesis, with a corresponding increase in basal respiration, and Smad3 acts as a repressor of PGC-alpha1 expression. We observe significant correlation between TGF-beta1 levels and adiposity in rodents and humans. Further, systemic blockade of TGF-beta1 signaling protects mice from obesity, diabetes and hepatic steatosis. Together, these results demonstrate that TGF-beta signaling regulates glucose tolerance and energy homeostasis and suggest that modulation of TGF-beta1 activity might be an effective treatment strategy for obesity and diabetes.

Publication Title

Protection from obesity and diabetes by blockade of TGF-β/Smad3 signaling.

Sample Metadata Fields

Treatment

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accession-icon GSE13121
SIRT1 redistribution on chromatin promotes genome stability but alters gene expression during aging
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
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Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

SIRT1 redistribution on chromatin promotes genomic stability but alters gene expression during aging.

Sample Metadata Fields

Sex, Age

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accession-icon GSE13120
Age-related gene expression changes in mouse neocortex
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
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Description

Aging is associated with major nuclear changes affecting genomic integrity and gene expression. Here we compare the gene expression profiles in the neocortex of young (5 months old) and old (30 months old) B6xC3 F1 mice.

Publication Title

SIRT1 redistribution on chromatin promotes genomic stability but alters gene expression during aging.

Sample Metadata Fields

Sex, Age

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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.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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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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