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accession-icon GSE52797
Expression data of Myh6-MeCP2 transgenic mice
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Hearts of Myh6-MeCP2 transgenic mice and wildtype littermates were rapidly dissected and flash frozen.

Publication Title

Adrenergic Repression of the Epigenetic Reader MeCP2 Facilitates Cardiac Adaptation in Chronic Heart Failure.

Sample Metadata Fields

Specimen part

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accession-icon GSE3188
Hypoxic regulation of gene expression is dominated by the HIF system and can be mimicked by DMOG
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The response of cells to hypoxia is characterised by co-ordinated regulation of many genes. Studies of the regulation of the expression of many of these genes by oxygen has implicated a role for the heterodimeric transcription factor hypoxia inducible factor (HIF). The mechanism of oxygen sensing which controls this heterodimeric factor is via oxygen dependent prolyl and asparaginyl hydroxylation by specific 2-oxoglutarate dependent dioxygenases (PHD1, PHD2, PHD3 and FIH-1). Whilst HIF appears to have a major role in hypoxic regulation of gene expression, it is unclear to what extent other transcriptional mechanisms are also involved in the response to hypoxia. The extent to which 2-oxoglutarate dependent dioxygenases are responsible for the oxygen sensing mechanism in HIF-independent hypoxic gene regulation is also unclear. Both the prolyl and asparaginyl hydroxylases can be inhibited by dimethyloxalylglycine (DMOG). Such inhibition can produce activation of the HIF system with enhanced transcription of target genes and might have a role in the therapy of ischaemic disease. We have examined the extent to which the HIF system contributes to the regulation of gene expression by hypoxia, to what extent 2-oxoglutarate dependent dioxygenase inhibitor can mimic the hypoxic response and the nature of the global transcriptional response to hypoxia. We have utilised microarray assays of mRNA abundance to examine the gene expression changes in response to hypoxia and to DMOG. We demonstrate a large number of hypoxically regulated genes, both known and novel, and find a surprisingly high level of mimicry of the hypoxic response by use of the 2-oxoglutarate dependent dioxygenase inhibitor, dimethyloxalylglycine. We have also used microarray analysis of cells treated with small interfering RNA (siRNA) targeting HIF-1alpha and HIF-2alpha to demonstrate the differing contributions of each transcription factor to the transcriptional response to hypoxia. Candidate transcripts were confirmed using an independent microarray platform and real-time PCR. The results emphasise the critical role of the HIF system in the hypoxic response, whilst indicating the dominance of HIF-1alpha and defining genes that only respond to HIF-2alpha.

Publication Title

Concordant regulation of gene expression by hypoxia and 2-oxoglutarate-dependent dioxygenase inhibition: the role of HIF-1alpha, HIF-2alpha, and other pathways.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56402
A recessive point mutation is responsible for pleiotropic effects in a scube3 mutant mouse
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

We established and characterized a new recessive mutant mouse line kta41 with a point mutation in Scube3 at position 882. The mutant line was detected by screening for morphological abnormalities in the Munich ENU-mutagenesis program. The mutation was mapped by microsatellite markers to mouse chromosome 17, between markers D17MIT29 and D17MIT101. Candidate gene approaches failed due to the low recombination frequency and the high number of genes within the mapped interval. Whole genome sequencing approaches revealed a C to A transversion on position 882 in Scube3 that leads to a missense mutation in the protein (Asn294Lys). We did a broad phenotypic analysis of the mutant mouse line in the German Mouse Clinic (GMC), and followed up the found alterations by detailed phenotypic characterization. Scube3-kta41-/- mice show a series of phenotypic alterations, mainly in the skeleton, behavior and neurological abnormalities as well as changes in physiology, metabolism and immune status.

Publication Title

The First Scube3 Mutant Mouse Line with Pleiotropic Phenotypic Alterations.

Sample Metadata Fields

Sex, Age

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accession-icon SRP103188
Somatic to Naive direct reprogramming
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon

Description

Here we propose the direct conversion of human somatic cells into naive induced pluripotent cells (niPSC). Dataset: 7 expanded niPSC lines (4 from BJ cells, 1 from HFF-1, 1 from WI38, 1from IMR90), 1 freshly-isolated primary colonies of niPSC from BJ, 1 established naive embryonic line H9, 1 primed induced pluripotent cell line (from BJ), 1 sample of BJ fibroblasts, 1 sample of WI38 fibroblasts, 1 sample IMR90 fibroblasts.

Publication Title

Direct generation of human naive induced pluripotent stem cells from somatic cells in microfluidics.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7833
Regulation of mRNA transcript expression by hypoxia in human peripheral blood lymphocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

The aim of the study is to evaluate oxygen regulated gene expression in human peripheral blood lymphocytes using microarray analysis.

Publication Title

Variations within oxygen-regulated gene expression in humans.

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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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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