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accession-icon SRP063469
Effect of Asr1 RING mutation on the transcriptome of S. cerevisisae.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This analysis identified 27 genes that are induced, and 29 that are repressed, by a factor of two or more in Asr1RING mutant cells. Genes in each category did not cluster according to gene ontology or chromosome, but we did notice that 33% of genes in the induced set lie within 50 kb of a telomere. In contrast, for repressed genes, only 7% were similarly telomere-proximal. The induction of subtelomeric gene expression in Asr1RING mutant cells suggests that the Ub-ligase activity of Asr1 may be required for authentic patterns of subtelomeric gene silencing. Overall design: Transcriptome of WT and Asr1 RING mutant cells grown at log phase in enriched media.

Publication Title

Antagonistic roles for the ubiquitin ligase Asr1 and the ubiquitin-specific protease Ubp3 in subtelomeric gene silencing.

Sample Metadata Fields

Subject

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accession-icon GSE4133
The Genome Wide Distribution of Acetylated Histone H4 Remodelled through Human Primary Myoblast Differentiation
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U133B Array (hgu133b)

Description

The simultaneous genotyping of tens of thousands of SNP using SNP microarrays is a very important tool that is revolutionizing genetics and molecular biology. In this work, we present a new application of this technique by using it to assess chromatin immunoprecipitation (CHIP) as a means to assess the multiple genomic locations bound by a protein complex recognized by an antibody. We illustrate the use of this technique with an analysis of the change in histone H4 acetylation, a marker of open chromatin and transcriptionally active genomic regions, which occur during the differentiation of human myoblasts into myotubes. Our results are validated by the observation of a significant correlation between the histone modifications detected and the expression of the nearby genes, as measured by DNA microarrays.

Publication Title

ChIP on SNP-chip for genome-wide analysis of human histone H4 hyperacetylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4131
Determination of myotube and myoblast expression levels
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression was determined for both myotubes and myoblasts using Affymetrix HG-U133 A/B arrays.

Publication Title

ChIP on SNP-chip for genome-wide analysis of human histone H4 hyperacetylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP113512
Rlim-independent XCI in female embryonic stem cells in vitro
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The transcriptomes of differentiated and undifferentiated E14 (male), Pgk12.1 (female; WT) and Pgk12.1 with a KO of Rlim (RlimKO) were elucidated and examined for differences in X chromosome inactivation. No significant differences between wt and RlimKO with respect to Xist expression and global X-silencing was detected. Results confirm that Rlim is not required for XCI in female ESCs. Overall design: Transciptomes of female WT (Pgk12.1) and female RlimKO ESCs were compared to those of male ESCs (E14). State of XCI in undifferentiated and differentiated ESCs was determined by comparing expression of Xist and expression of X-linked genes female versus male.

Publication Title

Rlim-Dependent and -Independent Pathways for X Chromosome Inactivation in Female ESCs.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP126648
Single-cell RNA-seq of mouse dopaminergic neurons informs candidate gene selection for sporadic Parkinson''s disease
  • organism-icon Mus musculus
  • sample-icon 758 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Genetic variation modulating risk of sporadic Parkinson's disease (PD) has been primarily explored through genome wide association studies (GWAS). However, like many other common genetic diseases, the impacted genes remain largely unknown. Here, we used single-cell RNA-seq to characterize dopaminergic (DA) neuron populations in the mouse brain at embryonic and early postnatal timepoints. These data facilitated unbiased identification of DA neuron subpopulations through their unique transcriptional profiles, including a novel postnatal neuroblast population and substantia nigra (SN) DA neurons. We use these population-specific data to develop a scoring system to prioritize candidate genes in all 49 GWAS intervals implicated in PD risk, including known PD genes and many with extensive supporting literature. As proof of principle, we confirm that the nigrostriatal pathway is compromised in Cplx1 null mice. Ultimately, this systematic approach establishes biologically pertinent candidates and testable hypotheses for sporadic PD, informing a new era of PD genetic research. Overall design: 473 single cell RNA-Seq samples from sorted mouse Th-eGFP+ dopaminergic neurons collected at two timepoints from three distinct brain regions.

Publication Title

Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE15415
Candidate genes for alcohol preference in alcohol-preferring and non-preferring reciprocal congenic rats
  • organism-icon Rattus norvegicus
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-nave iP and P.NP rats.

Publication Title

Candidate genes for alcohol preference identified by expression profiling in alcohol-preferring and -nonpreferring reciprocal congenic rats.

Sample Metadata Fields

Specimen part

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accession-icon GSE5849
Identification of Candidate Genes for Alcohol Preference by Expression Profiling of Congenic Strains
  • organism-icon Rattus norvegicus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

A highly significant quantitative trait locus (QTL) that influenced alcohol preference was identified in the iP/iNP rats on chromosome 4.

Publication Title

Identification of candidate genes for alcohol preference by expression profiling of congenic rat strains.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE107015
Gene expression data from whole blood of a Phase II randomized clinical trial of the treatment of methamphetamine dependence with topiramate
  • organism-icon Homo sapiens
  • sample-icon 209 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A genome-wide RNA expression study based on a Phase II randomized placebo-controlled clinical trial of topiramate (TPM) treatment of methamphetamine (METH) dependence.

Publication Title

Transcriptome profiling and pathway analysis of genes expressed differentially in participants with or without a positive response to topiramate treatment for methamphetamine addiction.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Race, Subject, Time

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accession-icon GSE56640
Genome wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II, Affymetrix Human Exon 1.0 ST Array [AltAnalyze 2.0.6 beta probeset-to-Ensembl mapping (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress.

Sample Metadata Fields

Treatment

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accession-icon GSE57187
Genome wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [AltAnalyze 2.0.6 beta probeset-to-Ensembl mapping (huex10st)

Description

In response to genotoxic stress the TP53 tumour suppressor activates target gene expression to induce cell cycle arrest or apoptosis depending on the extent of DNA damage. These canonical activities can be repressed by TP63 in normal stratifying epithelia to maintain proliferative capacity or drive proliferation of squamous cell carcinomas, where TP63 is frequently overexpressed/amplified. Here we use ChIP-sequencing, integrated with microarray analysis, to define the genome wide interplay between TP53 and TP63 in response to genotoxic stress in normal cells. We reveal that TP53 and TP63 bind to overlapping, but distinct cistromes of sites through utilization of distinctive consensus motifs and that TP53 is constitutively bound to a number of sites. We demonstrate that cisplatin and adriamycin elicit distinct effects on TP53 and TP63 binding events, through which TP53 can induce or repress transcription of an extensive network of genes by direct binding and/or modulation of TP63 activity. Collectively, this results in a global TP53 dependent repression of cell cycle progression, mitosis and DNA damage repair concomitant with activation of anti-proliferative and pro-apoptotic canonical target genes. Further analyses reveals that in the absence of genotoxic stress TP63 plays an important role in maintaining expression of DNA repair genes, loss of which results in defective repair

Publication Title

Genome-wide characterization reveals complex interplay between TP53 and TP63 in response to genotoxic stress.

Sample Metadata Fields

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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