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accession-icon GSE24843
Tet1 and hydroxymethylcytosine in transcription and DNA methylation fidelity
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer, Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TET1 and hydroxymethylcytosine in transcription and DNA methylation fidelity.

Alternate Accession IDs

E-GEOD-24843

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE24842
Tet1 and hydroxymethylcytosine in transcription and DNA methylation fidelity (Affymetrix gene expression data)
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer, Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Enzymes catalyzing the methylation of the 5-position of cytosine (mC) have essential roles in regulating gene expression, genome stability, and maintaining cellular identity. Recently Tet1, which is highly expressed in embryonic stem (ES) cells, was found to oxidize the methyl group of mC converting it to 5-hydroxymethyl cytosine (hmC)3. Here, we present the genome-wide mapping of Tet1 and hmC in mouse ES cells. We show that Tet1 binds throughout the genome with the majority of binding sites located at transcription start sites (TSSs) and within genes. Similar to Tet1 and mC, also hmC is found throughout the genome and in particular in gene bodies. However, in contrast to mC, hmC is enriched at TSSs. Tet1 and hmC are associated with genes critical for the control of development and differentiation, which become methylated during differentiation. Surprisingly our results also suggest that Tet1 has a role in transcriptional repression. We show that Tet1 binds to a significant proportion of target genes that are positive for the Polycomb repressive histone mark H3K27me3, and that downregulation of Tet1 also leads to increased expression of a group of Tet1 target genes. In agreement with a potential repressive function, we show that Tet1 associates with the Sin3A co-repressor complex, which also co-localises with Tet1 throughout the genome. We propose that Tet1 fulfils dual functions in transcriptional regulation, where it fine-tunes DNA methylation and associates with the Sin3A co-repressor complex to prevent transcriptional activation.

Publication Title

TET1 and hydroxymethylcytosine in transcription and DNA methylation fidelity.

Alternate Accession IDs

E-GEOD-24842

Sample Metadata Fields

Specimen part

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accession-icon GSE31352
Transcriptomic analysis of CT16 (PAGE5) function in A2058 and WM-266-4 melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina human-6 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Melanoma-associated cancer-testis antigen 16 (CT16) regulates the expression of apoptotic and antiapoptotic genes and promotes cell survival.

Alternate Accession IDs

E-GEOD-31352

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE31350
Transcriptomic analysis of the effect of CT16 (PAGE5) expression in WM-266-4 melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina human-6 v1.0 expression beadchip

Description

The cellular gene expression profiles were investigated in CT16 (PAGE5) negative WM-266-4 melanoma cells as well as in the WM-266-4 cells expressing transfected CT16 cDNA.

Publication Title

Melanoma-associated cancer-testis antigen 16 (CT16) regulates the expression of apoptotic and antiapoptotic genes and promotes cell survival.

Alternate Accession IDs

E-GEOD-31350

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE18677
Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Microarray expression profiling has become a valuable tool in the evaluation of the genetic consequences of metabolic disease. Although 3-biased gene expression microarray platforms were the first generation to have widespread availability, newer platforms are gradually emerging that have more up-to-date content and/or higher cost efficiency. Deciphering the relative strengths and weaknesses of these various platforms for metabolic pathway level analyses can be daunting. We sought to determine the practical strengths and weaknesses of four leading commercially-available expression array platforms relative to biologic investigations, as well as assess the feasibility of cross-platform data integration for purposes of biochemical pathway analyses. METHODS: Liver RNA from B6.Alb/cre,Pdss2loxP/loxP mice having primary Coenzyme Q deficiency was extracted either at baseline or following treatment with an antioxidant/antihyperlipidemic agent, probucol. Target RNA samples were prepared and hybridized to Affymetrix 430 2.0, Affymetrix Gene 1.0 ST, Affymetrix Exon 1.0 ST, and Illumina Mouse WG-6 expression arrays. Probes on all platforms were re-mapped to coding sequences in the current version of the mouse genome. Data processing and statistical analysis were performed by R/Bioconductor functions, and pathway analyses were carried out by KEGG Atlas and GSEA. RESULTS: Expression measurements were generally consistent across platforms. However, intensive probe-level comparison suggested that differences in probe locations were a major source of inter-platform variance. In addition, genes expressed at low or intermediate levels had lower inter-platform reproducibility than highly expressed genes. All platforms showed similar patterns of differential expression between sample groups, with steroid biosynthesis consistently identified as the most down-regulated metabolic pathway by probucol treatment. CONCLUSIONS: This work offers a timely guide for metabolic disease investigators to enable informed end-user decisions regarding choice of expression microarray platform best-suited to specific research project goals. Successful cross-platform integration of biochemical pathway expression data is also demonstrated, especially for well-annotated and highly-expressed genes. However, integration of gene-level expression data is limited by individual platform probe design and the expression level of target genes. Cross-platform analyses of biochemical pathway data will require additional data processing and novel computational bioinformatics tools to address unique statistical challenges.

Publication Title

Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy.

Alternate Accession IDs

E-GEOD-18677

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE135463
Transcriptomic changes induced by Gsk-3-deletion in cerebellar progenitors
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Cerebellar development requires regulated proliferation of cerebellar granule neuron progenitors (CGNPs). Inadequate CGNP proliferation causes cerebellar hypoplasia while excessive CGNP proliferation can cause medulloblastoma, the most common malignant pediatric brain tumor. Although Sonic Hedgehog (SHH) signaling is known to activate CGNP proliferation, the mechanisms down-regulating proliferation are less defined. We investigated CGNP regulation by GSK-3, which down-regulates proliferation in the forebrain, gut and breast by suppressing mitogenic WNT signaling. In striking contrast, we found that co-deleting Gsk-3α and Gsk-3β blocked CGNP proliferation, causing severe cerebellar hypoplasia. Transcriptomic analysis showed activated WNT signaling and up-regulated Cdkn1a in Gsk-3-deleted CGNPs. These data show that a GSK-3/WNT axis modulates the developmental proliferation of CGNPs and the pathologic growth of SHH-driven medulloblastoma. The requirement for GSK-3 in SHH-driven proliferation suggests that GSK-3 may be targeted for SHH-driven medulloblastoma therapy.

Publication Title

GSK-3 modulates SHH-driven proliferation in postnatal cerebellar neurogenesis and medulloblastoma.

Alternate Accession IDs

E-GEOD-135463

Sample Metadata Fields

Specimen part

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accession-icon GSE68627
Snf5F/Fp53L/LGFAP-Cre tumors and human AT/RT show similar gene expression signatures
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Human medulloblastoma (MB) can be segregated into four major categories based on gene expression patterns: Hedgehog (HH) subtype, Wnt subtype, Group 3, and Group 4. However, they all exhibit strikingly different gene expression profiles from Atypical Teratoid/Rhabdoid Tumor (AT/RT). We re-analyzed published gene expression microarray dataset of pediatric brain tumors to identify a gene expression profile that clearly distinguished human AT/RT from human MB. We used this profile, choosing only genes that have clear murine orthologs, to compare tumors from Snf5F/Fp53L/LGFAP-Cre mice (in C57Bl/6 strain background) with MB from Ptc1+/- mice (in mixed C57Bl/6 and 129Sv strain background). Snf5F/Fp53L/LGFAP-Cre tumors are clearly very different from mouse MB and the markers that distinguish human AT/RT from human MB also distinguish the mouse tumors.

Publication Title

Generation of a mouse model of atypical teratoid/rhabdoid tumor of the central nervous system through combined deletion of Snf5 and p53.

Alternate Accession IDs

E-GEOD-68627

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51523
Expression profiles of E11.5 wildtype and Shox2 knockout embryonic forelimbs
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The development of vertebrate extremities is a complex process which requires a highly coordinated network of different transcriptional activities. The homeodomain transcription factor Shox2 is a key player in limb formation controlling neural, muscular and skeletal development.

Publication Title

Tbx4 interacts with the short stature homeobox gene Shox2 in limb development.

Alternate Accession IDs

E-GEOD-51523

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41945
Expression profiles of wildtype and Shox2 knockout embryonic limbs
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The development of vertebrate extremities is a complex process which requires a highly coordinated network of different transcriptional activities. The homeodomain transcription factor Shox2 is a key player in limb formation controlling neural, muscular and skeletal development. Here, we compared gene expression profiles of wildtype and Shox2 knockout limbs using microarray experiments to identify Shox2 target genes.

Publication Title

Tbx4 interacts with the short stature homeobox gene Shox2 in limb development.

Alternate Accession IDs

E-GEOD-41945

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE15178
Presomitic mesoderm and somite-level tissue of 9.5 dpc Dll3 mutants
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cyclical expression of the Notch/Wnt regulator Nrarp requires modulation by Dll3 in somitogenesis.

Alternate Accession IDs

E-GEOD-15178

Sample Metadata Fields

Age, Specimen part

View Samples
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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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