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accession-icon GSE54584
Altered Gene Expression Profile in Ovarian Follicle in Rats Treated with Indomethacin and RU486
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

It is well-known that indomethacin (the cyclooxygenase 1 & 2 inhibitor) and RU486 (or mifepristone, the progesterone receptor antagonist) block follicular rupture in rats. To characterize genetic alterations in unruptured follicles, gene expression profiles in ovarian follicle were analyzed in indomethacin- and RU486-treated female Sprague-Dawley rats. Ovaries are collected at 22:00 on the proestrus day and 10:00 on the following estrus day after a single dose of indomethacin and RU486. Histopathologically, changes depicting responses to LH surge were observed in ovaries, uteri and vagina. Total RNA was extracted from pre-ovulatory follicles or unruptured follicles collected by laser microdissection and analyzed by GeneChip. Among genes showing statistically significant changes compared to control groups, following changes were considered relevant to induction of unruptured follicles. In indomethacin-treated rats, Wnt4 was down-regulated, suggesting effect on tissue integrity and steroid genesis. In RU486-treated rats, Adamts1, Adamts9, Edn2, Ednra, Lyve1, Plat, and Pparg were down-regulated. These changes suggest effects on proteolysis for extracellular matrix or surrounding tissue (Adamts1 & 9, and Plat), constriction of smooth muscle surrounding follicles (Edn2, Ednra, and Pparg), follicular fluid (Lyve1), and angiogenesis (Pparg). Down-regulation of angiogenesis related genes (Angpt2, Hmox1, and Vegfa) was observed in both treatment groups. Here, we clarify genetic alterations induced by the inhibition of cyclooxygenase or progesterone receptor.

Publication Title

Altered gene expression profile in ovarian follicle in rats treated with indomethacin and RU486.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE10804
Human Cavernosal Endothelial Cell Phenotype
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Purpose: To identify the molecular phenotype of endothelial cells (EC) isolated from the unique vasculature of the corpus cavernosum.

Publication Title

Transcriptional profiling of human cavernosal endothelial cells reveals distinctive cell adhesion phenotype and role for claudin 11 in vascular barrier function.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE42697
Intrahepatic miRNA/mRNA expression in non-responders to pegylated interferon plus ribavirin combination therapy for chronic hepatitis C
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite advance in interferon-based treatment for chronic hepatitis C, difficult-to-treat patients remain in existence yet. To identify key genes involved in difficult-to-treat characteristics, gene expression patterns of miRNA and RNA were analyzed by profiling pretreatment liver tissues from five sustained virological responders (SVR), three relapsers (R) and four non-responders (NR). Expression levels of miRNA and mRNA were compared between SVR/R and NR groups by using microarray, respectively. Quantitative real-time reverse-transcriptase polymerase chain reaction and statistical analyses validated genes with significantly differential expression levels in 50 liver tissues: proliferation-, inflammation- and anti-apoptosis-related mRNA expression levels increased significantly in NR, compared to SVR/R. Of miRNA with significantly differential expression levels on microarray, several miRNA were correlated inversely with those significant mRNA. In vitro studies by using miRNA inhibitors and mimics verified the inverse correlation between the miRNA and mRNA. These findings enhance our understanding of the difficult-to-treat molecular mechanism and identification of target molecules for novel treatments.

Publication Title

Involvement of MAP3K8 and miR-17-5p in poor virologic response to interferon-based combination therapy for chronic hepatitis C.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE17384
Gene expression data from the LEC rat model with naturally occuring and oxidative stress induced liver tumorigenesis
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

To elucidate the fundamental molecular mechanisms responsible for multistep hepatotumorigenesis, this study investigated genes that were upregulated in a stepwise manner from the nave liver condition through to chronic oxidative stress-induced hepatitis and liver tumor by time-series microarray analysis. The time-dependent gene expression profile should reflect the multistep process of hepatotumorigenesis, and might identify genes that function specifically in hepatotumorigenesis.

Publication Title

IQGAP1 and vimentin are key regulator genes in naturally occurring hepatotumorigenesis induced by oxidative stress.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE57429
Expression data from FIT-039 or Flavopiridol compound treated HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

FIT-039 is a novel antiviral compound. Antiviral mechanism of FIT-039 is the inhibition of the viral transcription through suppression of the CTD phosphorylation of RNA polymerase II.

Publication Title

CDK9 inhibitor FIT-039 prevents replication of multiple DNA viruses.

Sample Metadata Fields

Cell line

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accession-icon GSE43762
Expression profiling of glioma initiating cells (GICs) in the sphere and differentiation conditions
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glioma initiating cells (GICs) are considered responsible for the therapeutic resistance and recurrence of malignant glioma. To clarify the molecular mechanism of GIC maintenance/differentiation, we established GIC clones from GBM patient tumors having the potential to differentiate into malignant gliomas in mouse intracranial xenograft, and established an in vitro glioma induction system by using serum stimulation.

Publication Title

Glioma initiating cells form a differentiation niche via the induction of extracellular matrices and integrin αV.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE97969
Identification of mRNAs modulated by the HOXB7-MEK signaling cascade
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Transcripts upregulated or downregulated by HOXB7-MEK signaling were identified for use on the microarray using the Affymetrix GeneChip WT PLUS Reagent Kit in comparison with HOXB7-knockdown S2-013 cells that were transfected with rescue-HOXB7 plasmid and treated with MEK inhibitor, and HOXB7-knockdown S2-013 cells that were transfected with rescue-HOXB7 plasmid but not treated with MEK inhibitor.

Publication Title

The transcription factor HOXB7 regulates ERK kinase activity and thereby stimulates the motility and invasiveness of pancreatic cancer cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE6788
Expression data of an albino mutant DS 13-2198-1
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The effect Ds insertion mutation in Ds13-2198-1 line on the gene expression profiles was investigated. The genes for photosynthesis and some transcriptional factors were upregulated while genes for metabolism were downregulated.

Publication Title

Top-down phenomics of Arabidopsis thaliana: metabolic profiling by one- and two-dimensional nuclear magnetic resonance spectroscopy and transcriptome analysis of albino mutants.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40568
DNA microarray analysis of labial salivary glands in IgG4-related disease comparison with Sjgrens syndrome
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

<Objective> To compare gene expression in labial salivary glands (LSG) of IgG4-related disease (IgG4-RD) with Sjgrens syndrome (SS).

Publication Title

DNA microarray analysis of labial salivary glands in IgG4-related disease: comparison with Sjögren's syndrome.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE12170
Global Analysis of the Meiotic Crossover Landscape
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Using microarrays to genotype the parental origin of progeny resulting from a cross between S96 and YJM789 yeast strains, we mapped the distribution of crossovers that occurred during meiosis. Knowledge of the crossover distribution allowed us to assess changes in crossover control in wild type and mutant strains.

Publication Title

Global analysis of the meiotic crossover landscape.

Sample Metadata Fields

No sample metadata fields

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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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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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