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accession-icon GSE52064
DRM complex mutant lin-54 vs. H3K36 methyltransferase mutant mes-4 vs. lin-54; mes-4 double mutant vs. wild type C.elegans germline
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Here we uncover antagonistic regulation of transcript levels in the germline of Caenorhabditis elegans hermaphrodites. The histone methyltransferase MES-4 marks genes expressed in the germline with methylated Lys36 on histone H3 (H3K36me) and promotes their transcription; MES-4 also represses genes normally expressed in somatic cells and genes on the X chromosomes. The DRM complex, which includes E2F/DP and Retinoblastoma homologs, affects germline gene expression and prevents excessive repression of X-chromosome genes. Using genome-scale analyses of germline tissue, we show that common germline-expressed genes are activated by MES-4 and repressed by DRM, and that MES-4 and DRM co-bind many germline-expressed genes. Reciprocally, MES-4 represses and DRM activates a set of autosomal soma-expressed genes and overall X-chromosome gene expression. Mutations in mes-4 or the DRM subunit lin-54 oppositely skew target transcript levels and cause sterility; a double mutant restores near wild-type transcript levels and germ cell development. Together, yin-yang regulation by MES-4 and DRM ensures transcript levels appropriate for germ cell function, elicits robust but not excessive dampening of X-chromosome-wide transcription, and may poise genes for future expression changes. Our study reveals that conserved transcriptional regulators implicated in development and cancer counteract each other to fine-tune transcript dosage.

Publication Title

Opposing activities of DRM and MES-4 tune gene expression and X-chromosome repression in Caenorhabditis elegans germ cells.

Sample Metadata Fields

Sex

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accession-icon GSE48350
Alzheimer's Disease Dataset
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This dataset contains microarray data from normal controls (aged 20-99 yrs) and Alzheimer's disease cases, from 4 brain regions: hippocampus, entorhinal cortex, superior frontal cortex, post-central gyrus. Changes in expression of synaptic and immune related genes were analyzed, investigating age-related changes and AD-related changes, and region-specific patterns of change.

Publication Title

Gene expression changes in the course of normal brain aging are sexually dimorphic.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE11882
Gene expression changes in the course of normal brain aging are sexually dimorphic
  • organism-icon Homo sapiens
  • sample-icon 168 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This dataset of cognitively normal controls is a subset of the GSE48350 dataset, which additionally contains microarray data from AD brains.

Publication Title

Gene expression changes in the course of normal brain aging are sexually dimorphic.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE94349
Molecular analyses reveal an inflammatory response in the solid component and cystic fluid of human adamantinomatous craniopharyngioma
  • organism-icon Homo sapiens
  • sample-icon 152 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pediatric adamantinomatous craniopharyngioma (ACP) cyst may be associated with injury to critical neurological structures, such as the hypothalamus, resulting in poor quality of life and shorter lifespan. This work presents evidence that immune actors, both pro-inflammatory and immunomodulatory, and their receptors, are present at unique levels in ACP cyst fluid and tumor tissue, potentially indicating a mechanism underlying cyst growth and tumor invasion of the hypothalamus.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE66354
Investigation of the mechansim underlying the inflammatory phenotype in Group A ependymoma
  • organism-icon Homo sapiens
  • sample-icon 146 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inflammatory response has been identified as a molecular signature of high-risk Group A ependymoma (EPN). To better understand the biology of this phenotype and aid therapeutic development, transcriptomic data from Group A and B EPN patient tumor samples, and additional malignant and normal brain data, were analyzed to identify the mechanism underlying EPN group A inflammation.

Publication Title

Interleukin-6/STAT3 Pathway Signaling Drives an Inflammatory Phenotype in Group A Ependymoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE21862
Gene expression on 144 arrays representing 125 workers exposed to a range of benzene exposures
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

Human toxicogenomic studies to date have been of limited size, have mainly addressed exposures at the upper end of typical ranges of human exposure, and have often lacked precise, individual estimates of exposure. Previously, we identified genes associated with exposure to high (>10 ppm) levels of the leukemogen, benzene, through transcriptomic analyses of blood cells from small numbers of occupationally exposed workers. Here, we have expanded the study to 125 workers exposed to a wide range of benzene levels, including <1 ppm. Study design, and analysis with a mixed effects model, removed sources of biological and experimental variability and revealed highly significant widespread perturbation of gene expression at all exposure levels. Benzene is an established cause of acute myeloid leukemia (AML), and may cause one or more lymphoid malignancies in humans. Interestingly, acute myeloid leukemia was among the most significant pathways impacted by benzene exposure in the present study. Further, at most exposure levels, immune response pathways including T cell receptor signaling, B cell receptor signaling, and Toll like receptor signaling were impacted, providing support for the biological plausibility of an association between lymphoma and benzene exposure. We also identified a 16-gene expression signature modified by all levels of benzene exposure, comprising genes with roles in immune response, inflammatory response, cell adhesion, cell-matrix adhesion, and blood coagulation. Overall, these findings support, and expand upon, our current understanding of the mechanisms by which benzene may induce hematotoxicity, leukemia and lymphoma. Furthermore, this study shows that with good study design and analysis, transcriptome profiling of the blood of chemically-exposed humans can identify relevant biomarkers across a range of exposures and inform about potential associations with disease risks.

Publication Title

Global gene expression profiling of a population exposed to a range of benzene levels.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE50161
Expression data from human brain tumors and human normal brain
  • organism-icon Homo sapiens
  • sample-icon 127 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The characteristics of immune cells infiltrating pediatric brain tumors is largely unexplored. A better understanding of these characteristics will provide a foundation for development of immunotherapy for pediatric brain tumors.

Publication Title

Characterization of distinct immunophenotypes across pediatric brain tumor types.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE43970
Reconstruction of the dynamic regulatory network that controls Th17 cell differentiation by systematic perturbation in primary cells
  • organism-icon Mus musculus
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dynamic regulatory network controlling TH17 cell differentiation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE68015
Identification of targets for rational pharmacological therapy in childhood craniopharyngioma
  • organism-icon Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: Pediatric adamantinomatous craniopharyngioma (ACP) is a histologically benign but clinically aggressive brain tumor that arises from the sellar/suprasellar region. Despite a high survival rate with current surgical and radiation therapy (75-95% at 10 years), ACP is associated with debilitating visual, endocrine, neurocognitive and psychological morbidity, resulting in exceptionally poor quality of life for survivors. Identification of an effective pharmacological therapy would drastically decrease morbidity and improve long term outcomes for children with ACP.

Publication Title

Identification of targets for rational pharmacological therapy in childhood craniopharyngioma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE86574
Characterization of Two Novel Ependymoma Cell Lines with Chromosome 1q gain derived from Posterior Fossa Tumors of Childhood
  • organism-icon Homo sapiens
  • sample-icon 110 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: Ependymoma (EPN) studies have revealed certain genetic markers, such as gain of chromosome 1q (1q+), as indicators of poor survival and high rate of recurrence. Development of novel therapeutics for EPN has been hampered by a lack of in vivo and in vivo models. We describe two unique 1q+ cell lines (811 and 928) derived from two children with metastatic, recurrent EPN. Both cell lines were characterized using histological, karyotypic and transcriptomic methods

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
...

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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