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GSE45229
Mus musculus
20 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Quetiapine is an atypical neuroleptic with a pharmacological profile distinct from classic neuroleptics. It is currently approved for treating patients with schizophrenia, major depression and bipolar I disorder. However, its cellular effects remain elusive.
Publication Title
Unique pharmacological actions of atypical neuroleptic quetiapine: possible role in cell cycle/fate control.
Sample Metadata Fields
Sex, Treatment
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
This study compared the gene expression change of glioblastoma stem-like cells before and after retinoic acid treatment
Publication Title
Regulation of glioblastoma stem cells by retinoic acid: role for Notch pathway inhibition.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The long non-coding RNA Paupar regulates the expression of both local and distal genes.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Although some long noncoding RNAs (lncRNAs) have been shown to regulate gene expression in cis, it remains unclear whether lncRNAs can directly regulate transcription in trans by interacting with chromatin genome-wide independently of their sites of synthesis. Here, we describe the genomically local and more distal functions of Paupar, a vertebrate-conserved and central nervous system-expressed lncRNA transcribed from a locus upstream of the gene encoding the Pax6 transcription factor. Knockdown of Paupar disrupts the normal cell cycle profile of neuroblastoma cells and induces neuronal differentiation. Paupar acts in a transcript-dependent manner both locally, to regulate Pax6, as well as distally by binding and regulating genes on multiple chromosomes, in part through physical association with Pax6 protein. Paupar binding sites are enriched near promoters and can function as transcriptional regulatory elements whose activity is modulated by Paupar transcript levels. Our findings demonstrate that a lncRNA can function in trans at transcriptional regulatory elements distinct from its site of synthesis to control large-scale transcriptional programmes.
Publication Title
The long non-coding RNA Paupar regulates the expression of both local and distal genes.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Although some long noncoding RNAs (lncRNAs) have been shown to regulate gene expression in cis, it remains unclear whether lncRNAs can directly regulate transcription in trans by interacting with chromatin genome-wide independently of their sites of synthesis. Here, we describe the genomically local and more distal functions of Paupar, a vertebrate-conserved and central nervous system-expressed lncRNA transcribed from a locus upstream of the gene encoding the Pax6 transcription factor. Knockdown of Paupar disrupts the normal cell cycle profile of neuroblastoma cells and induces neuronal differentiation. Paupar acts in a transcript-dependent manner both locally, to regulate Pax6, as well as distally by binding and regulating genes on multiple chromosomes, in part through physical association with Pax6 protein. Paupar binding sites are enriched near promoters and can function as transcriptional regulatory elements whose activity is modulated by Paupar transcript levels. Our findings demonstrate that a lncRNA can function in trans at transcriptional regulatory elements distinct from its site of synthesis to control large-scale transcriptional programmes.
Publication Title
The long non-coding RNA Paupar regulates the expression of both local and distal genes.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 228 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Common genetic variants modulate pathogen-sensing responses in human dendritic cells.
Sample Metadata Fields
Sex, Age, Race, Subject
View Samples- Homo sapiens
- 882 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 882 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The Cancer Cell Line Encyclopedia (CCLE) project is a collaboration between the Broad Institute, the Novartis Institutes for Biomedical Research and the Genomics Novartis Foundation to conduct a detailed genetic and pharmacologic characterization of a large panel of human cancer models
Publication Title
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.
Publication Title
The NIH Roadmap Epigenomics Mapping Consortium.
Sample Metadata Fields
Sex, Specimen part, Disease, Subject
View Samples- Homo sapiens
- 346 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
A reference collection of genome-wide transcriptional expression data for bioactive small molecules.
Publication Title
The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.
Sample Metadata Fields
No sample metadata fields
View Samples