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accession-icon SRP096825
ENPP1 Mutation Causes Recessive Cole Disease by Altering Melanogenesis
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Propose: We used next-generation RNA sequencing (RNA-seq) to characterize the transcriptional changes in primary human melanocytes during recessive Cole disease. Our patient carried missense mutation in the ENPP1 gene (c.358T>C; p.C120R). RNA-seq was performed using mRNA extracted from primary hypo- and hyper-pigmented melanocytes isolated from affected patient and melanocytes from his healthy heterozygous sibling and an aged- and ethnicity-matched control. Results: A pairwise fold-change comparison was performed and genes were computationally filtered using a cutoff of more than 2 fold change and P<0.01. We first compared hyper-pigmented melanocytes to each control individually and then overlapped the results to obtain a list of 1041 up-regulated and 692 down-regulated genes. The same analysis was done for hypo-pigmented melanocytes to found that 535 genes were up-regulated and 520 were down-regulated. Finally, to obtain a profile of the overall differential gene expression, down-regulated genes in hyper and hypo-pigmented cells were overlapped to identify 143 genes that were down-regulated in patient melanocytes compared to controls regardless of pigmentation status. Similar analysis was performed to obtain the list of 172 up-regulated genes. We selected 36 deregulated genes, most of which were associated with melanocyte development and pigmentation signaling pathways, and validated 32 of them by Q-PCR, indicating that our RNA-Seq data was accurate and reliable. Conclusion: Our study represents the first analysis of hypo- and hyper-pigmented primary melanocytes isolated from affected patient versus healthy controls in recessive Cole disese pathology. Overall design: mRNA profiles of hyper- and hypo-pigmented mutant melanocytes, heterozygous and wild type melanocytes were sequenced in triplicate on the Hiseq 2500 High output 100PE

Publication Title

ENPP1 Mutation Causes Recessive Cole Disease by Altering Melanogenesis.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE99777
Expression data of adult quiescent and activated mouse neural stem cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Neural stem cells were sorted according to their activated or quiescent state by flow cytometry using a set of 3 markers (LeX, CD24 and EGFR)

Publication Title

Distinct Molecular Signatures of Quiescent and Activated Adult Neural Stem Cells Reveal Specific Interactions with Their Microenvironment.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE64819
Genome wide nucleosome specifity and function of chromatin remodellers in embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide nucleosome specificity and function of chromatin remodellers in ES cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64785
Genome wide nucleosome specifity and function of chromatin remodellers in embryonic stem cells [Chd9]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

How various ATP-dependent chromatin remodellers bind to nucleosomes to regulate transcription is not well defined in mammalian cells. Here, we present genome-wide remodeller-interacting nucleosome profiles for Chd1, Chd2, Chd4, Chd6, Chd8, Chd9, Brg1 and Ep400 in mouse embryonic stem (ES) cells. These remodellers bind to nucleosomes at specific positions, either at one or both nucleosomes that flank each side of nucleosome-free promoter regions (NFRs), at enhancer elements, or within gene bodies. At promoters, bidirectional transcription commonly initiates on either side of remodeller-bound nucleosomes. Transcriptome analysis upon remodeller depletion reveals reciprocal mechanisms of transcriptional regulation by remodellers. At active genes, certain remodellers are positive regulators of transcription, whereas others act as repressors. At bivalent genes, which are bound by repressive Polycomb complexes, the same remodellers act in the opposite way. Together, these findings reveal how remodellers integrate promoter nucleosomal architecture to regulate ES cell transcription programs.

Publication Title

Genome-wide nucleosome specificity and function of chromatin remodellers in ES cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE64786
Genome wide nucleosome specifity and function of chromatin remodellers in embryonic stem cells [Ep400]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

How various ATP-dependent chromatin remodellers bind to nucleosomes to regulate transcription is not well defined in mammalian cells. Here, we present genome-wide remodeller-interacting nucleosome profiles for Chd1, Chd2, Chd4, Chd6, Chd8, Chd9, Brg1 and Ep400 in mouse embryonic stem (ES) cells. These remodellers bind to nucleosomes at specific positions, either at one or both nucleosomes that flank each side of nucleosome-free promoter regions (NFRs), at enhancer elements, or within gene bodies. At promoters, bidirectional transcription commonly initiates on either side of remodeller-bound nucleosomes. Transcriptome analysis upon remodeller depletion reveals reciprocal mechanisms of transcriptional regulation by remodellers. At active genes, certain remodellers are positive regulators of transcription, whereas others act as repressors. At bivalent genes, which are bound by repressive Polycomb complexes, the same remodellers act in the opposite way. Together, these findings reveal how remodellers integrate promoter nucleosomal architecture to regulate ES cell transcription programs.

Publication Title

Genome-wide nucleosome specificity and function of chromatin remodellers in ES cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6632
Hepatocellular carcinoma follows loss of liver-gender specificity in mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We are investigating hepatic transcriptional responses associated with castration and tumorigenic hepatitis induced by Helicobacter hepaticus infection in mature male A/JCr mice

Publication Title

Hepatocellular carcinoma associated with liver-gender disruption in male mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE51105
A signature predicting poor prognosis in gastric and ovarian cancer represents a coordinated macrophage and stromal-response.
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome wide mRNA expression profiling of 94 gastric tumours derived from Australian based cohort was performed. . From this data we identified a cluster of co-expressed genes termed the stromal response cluster which almost perfectly differentiates tumor from its non-malignant gastric tissue and hence can be regarded as a highly tumor-specific gene expression signature. We show that these genes are consistently co-expressed across a range of independent gastric datasets as well as other cancer types suggesting a conserved functional role in cancer.

Publication Title

A signature predicting poor prognosis in gastric and ovarian cancer represents a coordinated macrophage and stromal response.

Sample Metadata Fields

Specimen part

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accession-icon SRP119838
AhR activity directs BRAF inhibitors resistance in metastastic melanoma
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

BRAF oncogene is mutated in ~50% of human cutaneous melanomas. The BRAF V600E mutation leads to constitutive activation of the mitogen-activated protein kinase (MAPK) pathway fuelling cancer growth. The inhibitors of BRAF V600E (BRAFi), lead to massive and high response rate. However, BRAFi-resistant cells that operate as a cellular reservoir for relapses severely limits the duration of the clinical response. The recent depiction of these resistant cells did not identify druggable targets to ensure long-term survival under BRAFi. Here, we identify the aryl hydrocarbon receptor (AhR) as a target to eradicate resistant cells. We show that BRAFi bind to AhR on a new site, named beta-pocket, and reprogram gene expression independently of its partner ARNT. beta-pocket activation induces a pigmentation signature, which is associated to BRAFi-induced cell death of sensitive BRAF V600E melanoma cells and tumour shrinkage. Intriguingly, in resistant cells, BRAFi does not induced a pigmentation signature since these cells display another AhR program; AhR-ARNT dependant. By this way, AhR directs several key BRAFi-resistant genes. At single cell level, this constitutive activation of AhR-ARNT is identified in rare cells before BRAFi-treatment of melanoma tumours and an enrichment of these alpha-cells is observed under BRAFi. Our data strongly suggest that an endogenous AhR ligand activates AhR-ARNT via the canonical AhR pocket (alpha-pocket), thus favouring BRAFi-resistant gene expression. Importantly, we identify the clinically compatible AhR antagonist, the resveratrol (RSV), able to abrogate the deleterious constitutive activation of AhR and to reduce the cellular reservoir for the relapse. Taken together, this work reveals that constitutive AhR signalling drives BRAFi resistance and constitutes a therapeutic target to achieve long-term patient survival under BRAFi. More broadly, the constitutive activation of AhR by endogenous ligands is in line with the ability of UV radiations to generate potent AhR ligands and to favour melanoma onset. Overall design: Total RNA isolated from 12 human melanoma cell lines (501Mel) after different treatments was subjected to multiplexed RNA-sequencing using Illumina NextSeq500 sequencing tehnology.

Publication Title

Sustained activation of the Aryl hydrocarbon Receptor transcription factor promotes resistance to BRAF-inhibitors in melanoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE70421
SMARCB1-deficient rhaboid tumors of the kidney and renal medullary carcinomas.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to compared gene expression profilings in various tumors of the kidney.

Publication Title

Balanced Translocations Disrupting SMARCB1 Are Hallmark Recurrent Genetic Alterations in Renal Medullary Carcinomas.

Sample Metadata Fields

Specimen part

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accession-icon GSE39910
Bromodomain-dependent stage-specific male genome programming by Brdt
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Bromodomain-dependent stage-specific male genome programming by Brdt.

Sample Metadata Fields

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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Developed by the Childhood Cancer Data Lab

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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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