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accession-icon GSE41141
Transcriptome analysis of liver samples from PPARa KO and control mice injected with HDAd-TFEB
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE41140
Transcriptome analysis of the injected Ppara-KO mice overexpressing TFEB specifically in liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Expression data from Ppara (peroxisome proliferator activated receptor alpha) KO mice injected with TFEB specifically in liver. In order to identify the effects of TFEB overexpression together with Ppara absence on the liver transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the injected mice

Publication Title

TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE41139
Transcriptome analysis of the injected mice overexpressing TFEB specifically in liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In order to identify the effects of TFEB overexpression on the liver transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the injected mice

Publication Title

TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE36510
Expression data from wild-type mice starved as compared to wild-type control mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In order to identify the effects of starvation on the liver transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the starved mice

Publication Title

TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE35015
Expression data from injected mice overexpressing TFEB specifically in liver
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In order to identify the effects of transcription factor EB (TFEB) overexpression on the liver transcriptome, we performed Affymetrix GeneChip hybridization experiments on injected mice overexpressing TFEB specifically in the liver.

Publication Title

TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop.

Sample Metadata Fields

Age, Specimen part, Treatment

View Samples
accession-icon GSE72780
Intestinal epithelial cells from Crohn's Disease patients
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inflammatory Bowel Diseases are associated with marked alterations of IECs with a subsequent loss of barrier function.

Publication Title

Rho-A prenylation and signaling link epithelial homeostasis to intestinal inflammation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE72781
GGTase-I deletion in Intestinal Epithelial Cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Prenylation is a post-translational modification of proteins consisting on the attachment of a lipid residue (isoprenoid). GGTase-I is one of the prenyltransferases catalyzing prenylation.

Publication Title

Rho-A prenylation and signaling link epithelial homeostasis to intestinal inflammation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18567
Temporal profiling of gene expression in cochleae of wild type and alpha9 null mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Efferent inhibition of cochlear outer hair cells is mediated by nicotinic cholinergic receptors containing alpha9 (a9) and alpha10 subunits. Mice lacking a9 nicotinic subunits fail to exhibit classic olivocochlear responses and are characterized by abnormal synaptic morphology at the base of outer hair cells. To detail molecular changes induced upon the loss of a9 subunit, we sampled cochlear RNA from wild type and a9 null mice at postnatal (P) days spanning periods of synapse formation and maturation (P3, P7, P13 and P60). Our findings point to a delay in cochlear maturation starting at the onset of hearing (P13), as well as an up-regulation of various GABA receptor subunits in adult mice lacking the a9 nicotinic subunit.

Publication Title

Lack of nAChR activity depresses cochlear maturation and up-regulates GABA system components: temporal profiling of gene expression in alpha9 null mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE31102
Expression data from GW8510 treatment of pancreatic cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Expression of insulin in terminally differentiated non-beta pancreatic cell types could be important for treating type-1 diabetes. We observed that the kinase inhibitor GW8510 up-regulated insulin expression in mouse pancreatic alpha cells.

Publication Title

GW8510 increases insulin expression in pancreatic alpha cells through activation of p53 transcriptional activity.

Sample Metadata Fields

Cell line, Compound

View Samples
accession-icon GSE3554
Microarray Analysis of Retinal Gene Expression in the DBA/2J Model of Glaucoma
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Purpose: The DBA/2J mouse is a model for secondary angle-closure glaucoma due to iris atrophy and pigment dispersion, which ultimately leads to increased intraocular pressure (IOP). We sought to correlate changes in retinal gene expression with glaucoma-like pathology by performing microarray analysis of retinal RNA from DBA/2J mice at 3 months before disease onset, and at 8 months, after IOP elevation. Methods: IOP was monitored monthly in DBA/2J animals by Tono-Pen and animals with normal (3 months) or elevated IOP (8 months) were identified. RNA was prepared from 3 individual retinas at each age, and the RNA was amplified and used to generate biotin-labeled probe for high density mouse Affymetrix arrays (U430.2). A subset of genes was selected for confirmation by quantitative RT-PCR using independent retina samples from DBA/2J animals at 3, 5 and 8 months of age, and compared to retinas from C57BL/6J control animals at 3 and 8 months. Results: There were changes in expression of 68 genes, with 32 genes increasing and 36 genes decreasing at 8 months versus 3 months. Upregulated genes were associated with immune response, glial activation, signaling and gene expression, while down-regulated genes included multiple crystallin genes. Significant changes in 9 upregulated genes and 2 downregulated genes were confirmed by quantitative RT-PCR, with some showing changes in expression by 5 months. Conclusions: DBA/2J retina shows evidence for glial activation and an immune-related response following IOP elevation, similar to what has been reported following acute elevation of IOP in other models.

Publication Title

Microarray analysis of retinal gene expression in the DBA/2J model of glaucoma.

Sample Metadata Fields

Age

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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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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