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accession-icon GSE21140
Genomics of medulloblastoma identifies four distinct molecular variants
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Recent genomic approaches have suggested the existence of multiple distinct subtypes of medulloblastoma. We studied a large cohort of medulloblastomas to determine how many subgroups of the disease exist, how they differ, and the extent of overlap between subgroups. We determined gene expression profiles and DNA copy number aberrations for 103 primary medulloblastomas. Bioinformatic tools were used for class discovery of medulloblastoma subgroups based on the most informative genes in the dataset. Immunohistochemistry for subgroup-specific signature genes was used to determine subgroup affiliation for 294 non-overlapping medulloblastomas on two independent tissue microarrays (TMAs). Multiple unsupervised analyses of transcriptional profiles identified four distinct, non-overlapping molecular variants: WNT, SHH, Group C, and Group D. Supervised analysis of these four subgroups revealed significant subgroup-specific demographics, histology, metastatic status, and DNA copy number aberrations. Immunohistochemistry for DKK1 (WNT), SFRP1 (SHH), NPR3 (Group C), and KCNA1 (Group D) could reliably and uniquely classify formalin fixed medulloblastomas in ~98% of cases. Group C patients (NPR3 +ve tumors) exhibited a significantly diminished progression free and overall survival irrespective of their metastatic status. Our integrative genomics approach to a large cohort of medulloblastomas has identified four disparate subgroups with distinct demographics, clinical presentation, transcriptional profiles, genetic abnormalities, and clinical outcome. Medulloblastomas can be reliably assigned to subgroups through immunohistochemistry, thereby making medulloblastoma sub-classification widely available. Future research on medulloblastoma and the development of clinical trials should take into consideration these four distinct types of medulloblastoma.

Publication Title

Medulloblastoma comprises four distinct molecular variants.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE16988
Expression profile of cell lines overexpressing miR-520g
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. We recently highlighted the importance of a microRNA cluster housing miR-520g. We utilized the Illumina HumanWG-6 v3 R2 and HumanHT-12 v3 R2 Expression BeadChip platforms to profile the effects of miR-520g on gene expression.

Publication Title

Frequent amplification of a chr19q13.41 microRNA polycistron in aggressive primitive neuroectodermal brain tumors.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE55386
IL-5-mediated gene expression in LDBM cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptome analysis of LDBM cells stimulated with IL-5

Publication Title

IL-5 triggers a cooperative cytokine network that promotes eosinophil precursor maturation.

Sample Metadata Fields

Specimen part

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accession-icon SRP059296
Gene expression analyses and distribution of H3K4me3 modification during eosinophil development (GMP to EoP to Eosinophil)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

To identify regulators of homeostatic eosinophilopoiesis in mice, we took a global approach to identify genome-wide transcriptome and epigenome changes that occur during homeostasis at critical developmental stages, including eosinophil-lineage commitment (eosinophil progenitor [EoP] compared to granulocyte-monocyte progenitor [GMP]) and lineage maturation (eosinophil compared to EoP). Our analyses revealed markedly greater transcriptome alterations associated with eosinophil maturation (1199 genes) compared to eosinophil-lineage commitment (490 genes), highlighting the greater transcriptional investment necessary for differentiation. Our analyses also delineated a 976 gene eosinophil-lineage transcriptome that included a repertoire of 56 transcription factors, many of which have never previously been associated with eosinophils. Epigenomic studies revealed that genes that were specifically induced with eosinophil-lineage commitment in EoPs were “poised” with active chromatin marks in GMPs, despite not being expressed in GMPs. In contrast, a majority of the genes that were highly and specifically induced with maturation in eosinophils was not associated with poised chromatin, suggesting distinct epigenetic regulation between genes induced with lineage commitment compared to genes induced with cell maturation during eosinophil development. Overall design: RNA Seq and H3K4me3 distribution of GMPs, EoPs and eosinophils sorted from Balb/c bone marrow. RNA Seq libraries were prepared from 2 independent sorts of each cell type (GMP, EoPs, Eosinophils [Eos]). ChIP Seq was performed with chromatin from one sort of each cell type.

Publication Title

Transcription Factor Repertoire of Homeostatic Eosinophilopoiesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP018093
IL-33 markedly induces murine eosinophil gene transcription via autocrine IL-4-dependent and -independent mechanisms
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Eosinophils are major effector cells in type 2 inflammatory responses and become activated in response to IL-4 and IL-33, yet the molecular mechanism remains unclear. We examined the direct effect of these cytokines on eosinophils and demonstrated that murine eosinophils respond to IL-4 and IL-33 by phosphorylation of STAT-6 and NFkB, respectively. RNA sequencing analysis of murine eosinophils indicated that IL-33 regulates 519 genes, whereas IL-4 regulates only 28 genes, including 19 IL-33-regulated genes. Interestingly, IL-33 induced eosinophil activation via two distinct mechanisms, IL-4 independent and IL-4 secretion/auto-stimulation dependent. Anti-IL-4 or anti-IL-4Ra antibody-treated eosinophils, as well as Il4- or Stat6-deficient eosinophils, had attenuated protein secretion of a subset of IL-33-induced genes, including Retnla and Ccl17. However, the induction of most IL-33-regulated transcripts (e.g. Il6 and Il13) was IL-4 independent and blocked by NFkB inhibition. Indeed, IL-33 induced the rapid release of pre-formed IL-4 protein from eosinophils by an NFkB-dependent mechanism. Thus, we have identified a novel activation pathway in murine eosinophils that is induced by IL-33 and differentially dependent upon IL-4. These data suggest that IL-4 plays a critical role in auto-amplification of IL-33-induced eosinophil activation and could be a potential target for therapeutic approaches in IL-33-related eosinophil-associated diseases. Overall design: Low density bone marrow derived murine eosinophils were generated in culture over the period of 14 days. Eosinophils were activated by either IL-33 or IL-4 at 10 ng/ml for 1hr and 4hr. RNA was collected and subjected to next generation sequencing.

Publication Title

IL-33 markedly activates murine eosinophils by an NF-κB-dependent mechanism differentially dependent upon an IL-4-driven autoinflammatory loop.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE60886
Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups.

Sample Metadata Fields

Specimen part

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accession-icon GSE60892
Gene expression analysis of choroid plexus tumors
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Gene expression was assessed in a cohort of 40 choroid plexus tumors isolated from fresh-frozen tissue. We investigated unique expression patterns among tumor subgroups and refined the classification of choroid plexus tumors according to gene expression intensities.

Publication Title

Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups.

Sample Metadata Fields

Specimen part

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accession-icon GSE63670
Whole genome expression and DNA methylation analysis of matched primary-metastases medulloblastomas
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Medulloblastoma subgroups remain stable across primary and metastatic compartments.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE63668
Whole genome expression of matched primary-metastases medulloblastomas
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Affymetrix Human Gene 2.0 ST Array profiling of 9 pairs of matched primary-metastases medulloblastoma samples.

Publication Title

Medulloblastoma subgroups remain stable across primary and metastatic compartments.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE51076
SigX ECF sigma factor deletion mutant expression profile in Pseudomonas aeruginosa in M9 minimal medium (M9G)
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Analysis of a SigX knockout mutant of Pseudomonas aeruginosa H103 strain in minimal medium with glucose as carbon source (M9G).

Publication Title

The extra-cytoplasmic function sigma factor sigX modulates biofilm and virulence-related properties in Pseudomonas aeruginosa.

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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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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