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accession-icon GSE109864
Genetic ablation of NFAT5/TonEBP in smooth muscle cells impairs flow- and pressure-induced arterial remodeling in mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To study the impact of the transcription factor NFAT5 on the vascular smooth muscle cell (VSMC) transcriptome, genetic ablation of floxed nfat5 in mouse aortic smooth muscle cells was achieved by transducing them with an adenoviral vector to express Cre-recombinase (Ad-Cre) under control of a CMV promoter.

Publication Title

Genetic ablation of NFAT5/TonEBP in smooth muscle cells impairs flow- and pressure-induced arterial remodeling in mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE10026
High resolution gene expression profiling for simultaneous analysis of RNA synthesis, abundance and decay
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Conserved principles of mammalian transcriptional regulation revealed by RNA half-life.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10011
Expression data from NIH-3T3 cells used for half-life determination
  • organism-icon Mus musculus
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Data from tc-, nt- and p-RNA as well as 1 and 2h of actinomycin-D treatment (5g/ml) of NIH-3T3 cells used to determine half-lives. RNA was labeled for 15, 30 or 60 minutes with 4-thiouridine. After preparation of tc-RNA, thiol-labeled RNA was biotinylated using biot-HPDP and subsequently tc-RNA was separated into nt- and p-RNA using streptavidin coated magnetic beads. All three fractions were used for microarray analysis. For actinomycin-D experiments only tc-RNA was used prepared from cell before and 1 an 2h after addition of act-D.

Publication Title

Conserved principles of mammalian transcriptional regulation revealed by RNA half-life.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP053041
Graded Expression Changes Determine Phenotype Severity In Mouse Models of CRX-Associated Retinopathy
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background: Mutations in the cone-rod-homeobox protein CRX are typically associated with dominant blinding retinopathies with variable age of onset and severity. Five well-characterized mouse models carrying different Crx mutations show a wide range of disease phenotypes. To determine if the phenotype variability correlates with distinct changes in CRX target gene expression, we perform RNA-seq analyses on three of these models and compare the results with published data. Results: Despite dramatic phenotypic differences between the three models tested, graded expression changes in shared sets of genes are detected. Phenotype severity correlates with the down-regulation of genes encoding key rod and cone phototransduction proteins. Interestingly, in increasingly severe mouse models, the transcription of many rod-enriched genes decreases decrementally, whereas that of cone-enriched genes increases incrementally. Unlike down-regulated genes, which show a high degree of CRX binding and dynamic epigenetic profiles in normal retinas, the up-regulated cone-enriched genes do not correlate with direct activity of CRX, but instead likely reflect a change in rod cell-fate integrity. Furthermore, these analyses describe the impact of minor gene expression changes on the phenotype, as two mutants showed marginally distinguishable expression patterns but huge phenotypic differences, including distinct mechanisms of retinal degeneration. Conclusions: Our results implicate a threshold effect of gene expression level on photoreceptor function and survival, highlight the importance of CRX in photoreceptor subtype development and maintenance, and provide a molecular basis for phenotype variability in CRX-associated retinopathies. Overall design: All genotypes were analyzed in triplicate. Heterozygous and homozygous mutants were all sequenced at P10, the control for which is the P10 C57BL6/J data. Heterozygous mutants were also analyzed at P21, the control for which is the P21 C57BL6/J data.

Publication Title

Graded gene expression changes determine phenotype severity in mouse models of CRX-associated retinopathies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9973
Half-life determination for human B-cells (BL41)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

RNA was labeled in BL41 cells by culturing cells for 60 min in media containing 100M 4sU. Tc-RNA was separated into nt- and p-RNA. All three RNA subsets were subjected to microarray analysis. Only probe sets providing present calls in all RNA samples/subsets were included into the analysis

Publication Title

Conserved principles of mammalian transcriptional regulation revealed by RNA half-life.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18560
Deciphering the Wnt-dependent gene signature in colorectal cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray-based gene expression data were generated from RNA from Ls174T colorectal carcinoma cell lines in which Wnt-dependent transcriptional activity can be abrogated by inducible overexpression of a dominant-negative form of Tcf4 or siRNA against -catenin.

Publication Title

Integrated genome-wide analysis of transcription factor occupancy, RNA polymerase II binding and steady-state RNA levels identify differentially regulated functional gene classes.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE3491
Interindividual Variability in LPS Responses
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

We used an unbiased approach to identify differences in gene expression that may account for the high degree of interindividual variability in inflammatory responses to LPS in the normal human population. We measured LPS-induced cytokine production ex vivo in whole blood from 102 healthy human subjects and identified individuals who consistently showed either very high or very low responses to LPS. Comparison of gene expression profiles between the lpshigh and lpslow individuals revealed 80 genes that were differentially expressed in the presence of LPS and 21 genes that were differentially expressed in the absence of LPS (p < 0.005, ANOVA). Expression of a subset of these genes was confirmed using real-time RT-PCR. These data illustrate a novel approach to the identification of factors that determine interindividual variability in innate immune inflammatory responses.

Publication Title

Identification of high and low responders to lipopolysaccharide in normal subjects: an unbiased approach to identify modulators of innate immunity.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE9975
newly transcribed RNA (nt-RNA) for IFN alpha and gamma time course
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression data from NIH-3T3 cells treated with mock, 100 U/ml IFN alpha or 100 U/ml gamma for 1 or 3h on nt-RNA labeled for 30-60 min at different times of interferon treatment

Publication Title

High-resolution gene expression profiling for simultaneous kinetic parameter analysis of RNA synthesis and decay.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9977
Expression data from NIH-3T3 cells treated with mock, 100 U/ml IFN alpha or 100 U/ml gamma for 1or 3h
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Differential gene expression caused by 1h and 3h of IFN alpha or gamma treatment was analyzed in total cellular RNA of NIH-3T3 cells compared to mock

Publication Title

High-resolution gene expression profiling for simultaneous kinetic parameter analysis of RNA synthesis and decay.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE35919
Expression data from NIH-3T3 cells infected with MCMV for 2, 4 or 6h
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Expression data from NIH-3T3 cells left uninfected or infected with MCMV for 2, 4 or 6h on total RNA as well as newly transcribed RNA labeled for 1-2, 3-4, and 5-6hpi. For newly transcribed RNA, the isolated RNA was labeled for 1h and separated from total cellular RNA following Trizol RNA preparation and thiol-specific biotinylation. We used microarrays to analyze the effects of MCMV infection in total and newly transcribed RNA.

Publication Title

Real-time transcriptional profiling of cellular and viral gene expression during lytic cytomegalovirus infection.

Sample Metadata Fields

Disease, Cell line, Time

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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)

fund-icon Fund the CCDL

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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