refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 454 results
Sort by

Filters

Technology

Platform

accession-icon GSE4034
Rapid selection response for contextual fear conditioning in a cross between C57BL/6J and A/J (palme-affy-mouse-198967)
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These data are from the brains (amygdala and hippocampus) of mice originally derived from a cross between C57BL/6J and A/J inbred strains. We used short-term selection to produce outbred mouse lines with differences in contextual fear conditioning, which is a measure of fear learning. We selected for a total of 4 generations. Fear learning differed in the selected lines and this difference was stronger with each successive generation of selection. We identified several QTLs for the selection response, including a highly significant QTL at the tyr locus (p < 9.6(-10)). We used Affymetrix microarrays to identify many differentially expressed genes in the amygdala and hippocampus of mice from the final generation of selection. Amygdala and hippocampus samples were rapidly dissected out of experimentally nave mice from each selected line. Three samples were pooled and hybridized to each array. Experimentally nave mice were used because the behavior of the mice can be reliably a nticipated due to their lineage. Thus these gene expression differences are not due to the response to human handling, foot shock or fear-inducing conditioned stimuli. We have a second similar study that focuses on a different selected population that was based on C57BL/6J and DBA/2J mice (see GES4035).

Publication Title

Rapid selection response for contextual fear conditioning in a cross between C57BL/6J and A/J: behavioral, QTL and gene expression analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5078
Hippocampal transcript profile in young and middle-aged mice
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We carried out a global survey of age-related changes in mRNA levels in the C57BL/6NIA mouse hippocampus and found a difference in the hippocampal gene expression profile between 2-month-old young mice and 15-month-old middle-aged mice correlated with an age-related cognitive deficit in hippocampal-based explicit memory formation. Middle-aged mice displayed a mild but specific deficit in spatial memory in the Morris water maze.

Publication Title

Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE109170
Chemokine expression in the early response to injury in human airway epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Basal airway epithelial cells (AEC) constitute stem/progenitor cells within the central airways and respond to mucosal injury in an ordered sequence of spreading, migration, proliferation, and dif-ferentiation to needed cell types. However, dynamic gene transcription in the early events after mucosal injury has not been studied in AEC. We examined gene expression using microarrays following mechanical injury (MI) in primary human AEC grown in submersion culture to generate basal cells and in the air-liquid interface to generate differentiated AEC (dAEC) that include goblet and ciliated cells. A select group of ~150 genes was in differential expression (DE) within 2 - 24 hr after MI, and enrichment analysis of these genes showed over-representation of functional categories related to inflammatory cytokines and chemokines. Network-based gene prioritization and network reconstruction using the PINTA heat kernel diffusion algorithm demonstrated highly connected networks that were richer in differentiated AEC compared to basal cells. Similar ex-periments done in basal AEC collected from asthmatic donor lungs demonstrated substantial changes in DE genes and functional categories related to inflammation compared to basal AEC from normal donors. In dAEC, similar but more modest differences were observed. We demon-strate that the AEC transcription signature after MI identifies genes and pathways that are im-portant to the initiation and perpetuation of airway mucosal inflammation. Gene expression oc-curs quickly after injury and is more profound in differentiated AEC, and is altered in AEC from asthmatic airways. Our data suggest that the early response to injury is substantially different in asthmatic airways, particularly in basal airway epithelial cells.

Publication Title

Chemokine expression in the early response to injury in human airway epithelial cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE4035
Selection for contextual fear conditioning affects anxiety-like behaviors and gene expression (palme-affy-mouse-84746)
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These data are from the brains (amygdala and hippocampus) of mice originally derived from a cross between C57BL/6J and DBA/2J inbred strains. We used short-term selection to produce outbred mouse lines with differences in contextual fear conditioning, which is a measure of fear learning. We selected for a total of 4 generations. Fear learning differed in the selected lines and this difference was stronger with each successive generation of selection. These mice also showed differences for measures of anxiety-like behavior, but were not different for tests of non-fear motivated learning, suggesting that selection altered alleles that are specifically involved in emotional behaviors. We identified several QTLs for the selection response. We used Affymetrix microarrays to identify differentially expressed genes in the amygdala and hippocampus of mice from the final generation of selection. Amygdala and hippocampus samples were rapidly dissected out of experimentally nave mice f rom each selected line. Three samples were pooled and hybridized to each array. Experimentally nave mice were used because the behavior of the mice can be reliably anticipated due to their lineage. Thus, these gene expression differences are not due to the response to human handling, foot shock or fear-inducing conditioned stimuli. We have a second similar study that focuses on a different selected population that was based on C57BL/6J and A/J mice (see GES4034).

Publication Title

Selection for contextual fear conditioning affects anxiety-like behaviors and gene expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP066860
3´-end sequencing of poly(A)+ RNA in wild-type Saccharomyces cerevisiae and nuclear exosome mutant strains
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The nuclear exosome performs critical functions in non-coding RNA processing, and in diverse surveillance functions including the quality control of mRNP formation, and in the removal of pervasive transcripts. Most non-coding RNAs and pervasive nascent transcripts are targeted by the Nrd1p-Nab3p-Sen1p (NNS) complex to terminate Pol II transcription coupled to nuclear exosome degradation or 3´-end trimming. Prior to nuclear exosome activity, the Trf4p-Air2p-Mtr4p polyadenylation complex adds an oligo-A tail to exosome substrates. Inactivating exosome activity stabilizes and lengthens these A-tails. We utilized high-throughput 3´-end poly(A)+ sequencing to identify at nucleotide resolution the 3´ ends targeted by the nuclear exosome, and determine the sites of NNS-dependent termination genome-wide. Overall design: 3´-end mapping of wild-type and various nuclear exosome mutant strains, either using gene knockouts or the anchor away system to conditionally deplete FRB-tagged proteins from the nucleus

Publication Title

Common genomic elements promote transcriptional and DNA replication roadblocks.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE9652
GATA4 is a direct activator of Cyclin D2 and is required for proliferation in 2nd heart field-derived myocardium
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The second heart field (SHF) comprises a population of mesodermal progenitor cells that are added to the nascent linear heart to give rise to the majority of the right ventricle, interventricular septum, and outflow tract of mammals and birds. The zinc finger transcription factor GATA4 functions as an integral member of the cardiac transcription factor network in the SHF and its derivatives. In addition to its role in cardiac differentiation, GATA4 is also required for cardiomyocyte replication, although the transcriptional targets of GATA4 required for proliferation have not been previously identified. In the present study, we disrupted Gata4 function exclusively in the SHF and its derivatives. Gata4 SHF knockout mice die by embryonic day 13.5 and exhibit hypoplasia of the right ventricular myocardium and interventricular septum and display profound ventricular septal defects. Loss of Gata4 function in the SHF results in decreased myocyte proliferation in the right ventricle, and we identify numerous cell cycle genes that are dependent on Gata4 by microarray analysis. We show that Gata4 is required for Cyclin D2 expression in the right ventricle and that the Cyclin D2 promoter is bound and activated by GATA4 via three consensus GATA binding sites. These findings establish Cyclin D2 as a direct transcriptional target of GATA4 and support a model in which GATA4 controls cardiomyocyte proliferation by coordinately regulating numerous cell cycle genes.

Publication Title

GATA4 is a direct transcriptional activator of cyclin D2 and Cdk4 and is required for cardiomyocyte proliferation in anterior heart field-derived myocardium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE76598
Profiling of nave and memory Tregs
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays.

Publication Title

A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.

Sample Metadata Fields

Treatment, Subject

View Samples
accession-icon GSE7664
Analysis of human cells response to benzene metabolites
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

analyzed changes in cytokine/chemokine production and gene expression levels in, human peripheral blood mononuclear cells upon teratment with 15M,2,4-benzenetriol

Publication Title

Identification of human cell responses to benzene and benzene metabolites.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP052706
Rapamycin induces chromosome reorganization and increases cytokine production in normal human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We report the effects of Rapamycin treatment on the transcriptome of normal human dermal fibroblasts isolated from foreskin (designated 2DD). We sequenced mRNA from 2 replicates of proliferative (PRO) quiescent (QUI, serum starved) or treated with 500nM Rapamycin for 5 days (RAP). Comparative analyses with PRO transcripts a baseline indicate that genes that changed expression from Rapamycin treated fibroblasts are significantly different from those of quiescence cells. Rapamycin treated cells showed a significant enrichment for cytokines from the Il-6 cascade. Overall design: Examination of mRNAs from proliferative, quiescent (serum starvation) and Rapamycin (5oonM, 5days) treated 2DD normal human dermal/foreskin fibroblasts.

Publication Title

Concordance between RNA-sequencing data and DNA microarray data in transcriptome analysis of proliferative and quiescent fibroblasts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP187300
Disruption of the exocyst induces podocyte loss and dysfunction
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this study we plan to compare the profiles of control sample (cultured podocytes) with the Exoc5 knock down in cutured podocytes to examine the differentially expressed genes. Overall design: We hope to identify the genes that are downregulated on knocking down Exoc5 in cultured human podocytes cells

Publication Title

Disruption of the exocyst induces podocyte loss and dysfunction.

Sample Metadata Fields

Subject

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