refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 25 results
Sort by

Filters

Technology

Platform

accession-icon GSE14366
Analysis of the retinal gene expression after hypoxic preconditioning identifies candidate genes for neuroprotection
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon

Description

Neuroprotective therapies for retinal degeneration may be used to rescue retinal cells and preserve vision. Hypoxic preconditioning stabilizes the transcription factor HIF-1 in the retina and strongly protects photoreceptors in an animal model of light-induced retinal degeneration.

Publication Title

Analysis of the retinal gene expression profile after hypoxic preconditioning identifies candidate genes for neuroprotection.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6934
Transcriptional comparison between whole kidneys from E14.5 Wnt4 mutants and wildtype mice (Mouse430_2 platform). (GUDMAP Series ID: 13)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

Our laboratory's interest is in understanding the molecular principles that underlie the regional organization of the mammalian metanephric kidney. Our goal is to generate a detailed spatial map of the cellular expression of selected regulatory genes during mammalian kidney development. The goal of this study is to identify a population of genes that are enriched in the renal vesicle (RV) and its derivatives using Wnt4 mutants.

Publication Title

Analysis of early nephron patterning reveals a role for distal RV proliferation in fusion to the ureteric tip via a cap mesenchyme-derived connecting segment.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE17553
Estradiol or Testosterone treated efferent duct and caput epididymis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon

Description

The role of estrogen and testosterone in the regulation of gene expression in the proximal reproductive tract is not completely understood. To address this question, mice were treated with testosterone or estradiol and RNA from the efferent ducts and caput epididymis was processed and hybridized to Affymetrix MOE 430 2.0 microarrays. Analysis of array output identified probe sets in each tissue with altered levels in hormone treated versus control animals. Hormone treatment efficacy was confirmed by determination of serum hormone levels pre- and post-treatment and observed changes in transcript levels of previously reported hormone-responsive genes. Tissue-specific hormone sensitivity was observed with 2867 and 3197 probe sets changing significantly in the efferent ducts after estrogen and testosterone treatment, respectively. In the caput epididymis, 117 and 268 probe sets changed after estrogen and testosterone treatment, respectively, demonstrating a greater response to hormone in the efferent ducts than the caput epididymis. Transcripts sharing similar profiles in the intact and hormone-treated animals compared with castrated controls were also identified. Ontological analysis of probe sets revealed a significant number of hormone-regulated transcripts encode proteins associated with lipid metabolism, transcription and steroid metabolism in both tissues. Real-time RT-PCR was employed to confirm array data and investigate other potential hormone-responsive regulators of proximal reproductive tract function. The results of this work reveal previously unknown responses to estrogen in the caput epididymis and to testosterone in the efferent ducts as well as tissue specific hormone sensitivity in the proximal reproductive tract.

Publication Title

Regulation of gene expression by estrogen and testosterone in the proximal mouse reproductive tract.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE18430
Identification of angiotensin II-responsive genes in the kidney
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

In order to characterize gene expression networks linked to AT1 angiotensin receptors in the kidney, we carried out genome-wide transcriptional analysis of RNA from kidneys of wild-type (WT) and AT1A receptor-deficient mice (KOs) at baseline and after 2 days of angiotensin II infusion (1 ug/kg/min), using Affymetrix GeneChip Mouse Genome 430 2.0 Arrays. At baseline, 405 genes were differentially expressed (>1.5X) between WT and KO kidneys. Of these, more than 80% were up-regulated in the KO group including genes involved in inflammation, oxidative stress, and cell proliferation. After 2 days of angiotensin II infusion in WT mice, expression of ~805 genes was altered (18% up-regulated, 82% repressed). Genes in metabolism and ion transport pathways were up-regulated while there was attenuated expression of protective genes against oxidative stress including glutathione synthetase and mitochondrial SOD2. Angiotensin II infusion has little effect on blood pressure in KOs. Nonetheless, expression of more than 250 genes was altered in kidneys from KO mice during angiotensin II infusion; 14% were up-regulated, while 86% were repressed including genes involved in immune responses, angiogenesis, and glutathione metabolism. Between WT and KO kidneys during angiotensin II infusion, 728 genes were differentially expressed; 10% were increased and 90% were decreased in the WT group. Differentially regulated pathways included those involved in ion transport, immune responses, metabolism, apoptosis, cell proliferation, and oxidative stress. This genome-wide assessment should facilitate identification of critical distal pathways linked to blood pressure regulation.

Publication Title

Gene expression profiles linked to AT1 angiotensin receptors in the kidney.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE6916
Embryonic Testis/Ovary Developmental Time Courses
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Profiling gene expression during the differentiation and development of the murine embryonic gonad.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE27302
Expression data from mouse colon tissue response to T cell transfer at week 0, 2, 4 and 6
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon

Description

Temporal geneome profiling of T cell transfer colitis model

Publication Title

Temporal genome expression profile analysis during t-cell-mediated colitis: identification of novel targets and pathways.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE6882
Embryonic Ovary Developmental Time Course
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon

Description

Time course of gene expression in the murine embryonic ovary from the time of the indifferent gonad (11.5dpc) to birth (18.5dpc)

Publication Title

Profiling gene expression during the differentiation and development of the murine embryonic gonad.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6881
Embryonic Testis Developmental Time Course
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon

Description

Time course of gene expression in the murine embryonic testis from the time of the indifferent gonad (11.5dpc) to birth (18.5dpc)

Publication Title

Profiling gene expression during the differentiation and development of the murine embryonic gonad.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42607
Gene-expression profiles of primary cultures of cortical neurons and astrocytes.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

We used microarrays to compare the global programme of gene expression in primary cultures of neurons and astrocytes. These data sets were compared to the expression profiles of other tissues, including pancreatic islets, in order to identify a specific neuroendocrine program in pancreatic islets.

Publication Title

Glucose regulation of a cell cycle gene module is selectively lost in mouse pancreatic islets during ageing.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18281
Spatial mapping of thymic stromal microenvironments reveals unique features influencing T lymphoid differentiation
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon

Description

Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them.

Publication Title

Spatial mapping of thymic stromal microenvironments reveals unique features influencing T lymphoid differentiation.

Sample Metadata Fields

Specimen part

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact