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accession-icon GSE22538
Differential expression for rice-gall midge interaction
  • organism-icon Oryza sativa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

We exposed Kavya rice seedlings to different gall midge biotypes, GMB1 and GMB4M, which exhibit incompatible and compatible interactions, respectively.

Publication Title

A novel mechanism of gall midge resistance in the rice variety Kavya revealed by microarray analysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE26990
Analysis of Promoter Methylation in Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Promoter methylation was assayed in a number of breast cancer and control normal samples along with the effects of 5'-aza-2'-deoxycytidine on breast cancer cell line transcriptomes.

Publication Title

Transcriptionally repressed genes become aberrantly methylated and distinguish tumors of different lineages in breast cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE44278
Redistribution of H3K27me3 upon DNA hypomethylation results in de-repression of polycomb-target genes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Redistribution of H3K27me3 upon DNA hypomethylation results in de-repression of Polycomb target genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE44277
Comparison of gene expression in Dnmt1+/+ and Dnmt1-/- MEFs
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

DNA methylation and the Polycomb Repression System are epigenetic mechanisms that play important roles in maintaining transcriptional repression. Recent evidence suggests that DNA methylation can attenuate the binding of Polycomb protein components to chromatin and thus plays a role in determining their genomic targeting. However, whether this role of DNA methylation is important in the context of transcriptional regulation is unclear. By genome-wide mapping of the Polycomb Repressive Complex 2 (PRC2)-signature histone mark, H3K27me3, in severely DNA hypomethylated mouse somatic cells, we show that hypomethylation leads to widespread H3K27me3 redistribution, in a manner that reflects the local DNA methylation status in wild-type cells. Unexpectedly, we observe striking loss of H3K27me3 and PRC2 from Polycomb-target gene promoters in DNA hypomethylated cells, including Hox gene clusters. Importantly, we show that many of these genes become ectopically expressed in DNA hypomethylated cells, consistent with loss of Polycomb-mediated repression. An intact DNA methylome is required for appropriate Polycomb-mediated gene repression by constraining PRC2 targeting. These observations identify a previously unappreciated role for DNA methylation in gene regulation and therefore influence our understanding of how this epigenetic mechanism contributes to normal development and disease.

Publication Title

Redistribution of H3K27me3 upon DNA hypomethylation results in de-repression of Polycomb target genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE23492
Expression data from articular and growth plate cartilage
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The aim of the current study was to identify molecular markers for articular cartilage that can be used for the quality control of tissue engineered cartilage. Therefore a genom-wide expression analysis was performed using RNA isolated from articular and growth plate cartilage, both extracted from the knee joints of minipigs.

Publication Title

Identification of molecular markers for articular cartilage.

Sample Metadata Fields

Specimen part

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accession-icon SRP022043
A blood based 12-miRNA signature of Alzheimer patients
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We applied Next-Generation Sequencing (NGS) to miRNAs from blood samples of 48 AD (Alzheimer''s Disease) patients and 22 unaffected controls, yielding a total of 140 unique mature miRNAs with significantly changed expression level. Of these, 82 were higher and 58 lower abundant in samples from AD patients. We selected a panel of 12 miRNAs for a qRT-PCR analysis on a larger cohort of 202 samples including not only AD patients and healthy controls but also patients with other CNS illnesses: Multiple Sclerosis, Parkinson''s Disease, Major Depression, Bipolar Disorder, Schizophrenia, and Mild Cognitive Impairment, which is assumed to represent a transitional period before the development of AD. MiRNA target enrichment analysis of the selected 12 miRNAs indicated an involvement of miRNAs in nervous system development, neuron projection, neuron projection development, and neuron projection morphogenesis, respectively. Using this 12-miRNA signature we were able to differentiate between AD and controls with an accuracy of 93.3%, a specificity of 95.1%, and a sensitivity of 91.5%. The differentiation of AD from other neurological diseases was possible with accuracies between 73.8% and 77.8%. The differentiation of the other CNS disorders from controls yielded even higher accuracies. Overall design: Examination of the miRNA profile in blood samples of 48 AD patients and 22 controls

Publication Title

A blood based 12-miRNA signature of Alzheimer disease patients.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE37006
Dietary heme mediated PPAR activation does not affect the heme-induced epithelial hyperproliferation and hyperplasia in mouse colon
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Red meat consumption is associated with an increased colon cancer risk. Heme, present in red meat, injures the colon surface epithelium by luminal cytotoxicity and reactive oxygen species. This surface injury is overcompensated by hyperproliferation and hyperplasia of crypt cells. Transcriptome analysis of mucosa of heme-fed mice showed, besides stress- and proliferation-related genes, many upregulated lipid metabolism-related PPAR target genes. The aim of this study was to investigate the role of PPAR in heme-induced hyperproliferation and hyperplasia. Male PPAR KO and WT mice received a purified diet with or without heme. As PPAR is proposed to protect against oxidative stress and lipid peroxidation, we hypothesized that the absence of PPAR leads to more surface injury and crypt hyperproliferation in the colon upon heme-feeding. Heme induced luminal cytotoxicity and lipid peroxidation and colonic hyperproliferation and hyperplasia to the same extent in WT and KO mice. Transcriptome analysis of colonic mucosa confirmed similar heme-induced hyperproliferation in WT and KO mice. Stainings for alkaline phosphatase activity and expression levels of Vanin-1 and Nrf2-targets indicated a compromised antioxidant defense in heme-fed KO mice. Our results suggest that the protective role of PPAR in antioxidant defense involves the Nrf2-inhibitor Fosl1, which is upregulated by heme in PPAR KO mice. We conclude that PPAR plays a protective role in colon against oxidative stress, but PPAR does not mediate heme-induced hyperproliferation. This implies that oxidative stress of surface cells is not the main determinant of heme-induced hyperproliferation and hyperplasia.

Publication Title

Dietary heme-mediated PPARα activation does not affect the heme-induced epithelial hyperproliferation and hyperplasia in mouse colon.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP118618
Defining transcription factor networks that govers SCC growth [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Differential gene expression analysis were performed between Pitx1 silenced SCC cells and controls in two independent SCC lines Overall design: Compared control and Pitx1 deficient cells to define gene sets control by Pitx1 in SCCs.

Publication Title

De Novo PITX1 Expression Controls Bi-Stable Transcriptional Circuits to Govern Self-Renewal and Differentiation in Squamous Cell Carcinoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE40540
IP of 5-hydroxymethylcytosine (5-hmC) and 5-methylcytosine (5-mC) enriched DNA fragments from control and PB treated mouse livers
  • organism-icon Mus musculus
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dynamic changes in 5-hydroxymethylation signatures underpin early and late events in drug exposed liver.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon GSE45465
Dynamic changes in liver 5-hydroxymethylcytosine profiles upon non-genotoxic carcinogen exposure [Replicated control vs. pb treated study]
  • organism-icon Mus musculus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Dynamic changes in the mouse liver DNA methylome associated with short (1 day) and prolonged (7, 28 and 91 days) exposure to the rodent liver non-genotoxic carcinogen (NGC), phenobarbital (PB).

Publication Title

Dynamic changes in 5-hydroxymethylation signatures underpin early and late events in drug exposed liver.

Sample Metadata Fields

Specimen part, Treatment

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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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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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