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accession-icon GSE136146
Expression data from "sensitized" mice exposed via respiratory tract to chemical (methylene diphenyldiisocyanate)-glutathione conjugates +/- chloride channel inhibitor (crofelemer)
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

Methylene diphenyl diisocyanate is a chemical known to cause asthma. The present study uses mice to investigate exposure-induced changes in lung gene expression and effects of a chloride channel inhibitor

Publication Title

Analysis of Lung Gene Expression Reveals a Role for Cl<sup>-</sup> Channels in Diisocyanate-induced Airway Eosinophilia in a Mouse Model of Asthma Pathology.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE7509
Gene expression changes in anti-FcgRIIb treated DCs and monocytes
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1).

Publication Title

Selective blockade of the inhibitory Fcgamma receptor (FcgammaRIIB) in human dendritic cells and monocytes induces a type I interferon response program.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE49535
Effect of H19 Knockdown by siRNA on gene expression in C2C12 cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to characterize the global changes in gene expression in C2C12 cells due to siRNA knockdown of long non-coding RNA H19

Publication Title

The imprinted H19 lncRNA antagonizes let-7 microRNAs.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42569
Gene expression analysis of human CD4+ T cells differentiated into Th17 cells in the presence of high-salt
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Th17 cells are believed to be a critical cell population for driving autoimmune diseases. However, environmental factors that are directly related to the development of Th17 cells are largely unknown.

Publication Title

Sodium chloride drives autoimmune disease by the induction of pathogenic TH17 cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE46390
Expression data from peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Colony Stimulating Factor 1(CSF1) is known to promote osteoclast progenitor survival but its role in regulating osteoclast differentiation and mature osteoclast function are less well understood.

Publication Title

The transcription factor T-box 3 regulates colony-stimulating factor 1-dependent Jun dimerization protein 2 expression and plays an important role in osteoclastogenesis.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE25219
Spatio-temporal transcriptome of the human brain
  • organism-icon Homo sapiens
  • sample-icon 2667 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The development of the human brain is a complex and precisely regulated process that unfolds over a protracted period of time. Human-specific features of this process, especially the ways in which highly complex neural circuits of the cerebral cortex form, are likely to be important factors in the evolution of human specializations. However, in addition to giving us remarkable cognitive and motor abilities, the formation of intricate neural circuits may have also increased our susceptibility to psychiatric and neurodegenerative disorders. Furthermore, substantial evidence suggests that the symptoms and progression of many brain disorders are dramatically influenced by genetic and developmental processes that define regional cell phenotypes and connectivity. Sex differences also play an important role in brain development and function and are a risk factor for several brain disorders, such as autism spectrum disorders (ASD) and depression. Thus understanding the spatiotemporal dynamics and functional organization of the brain transcriptome is essential to teasing out the keys to human neurodevelopment, sexual dimorphism, and evolution as well as our increased susceptibility to certain brain disorders. Most transcriptome studies of the developing brain have been restricted to rodents, and those performed in humans and nonhuman primates have included relatively small sample sizes and predominantly focused on few regions or developmental time points. Because many prominent features of human brain development significantly diverge from those of well-characterized model organisms, the translation of knowledge across species is difficult, and it is likely that many underlying genetic processes have gone undetected. In this study, we have taken a genome-wide approach to analyze the human transcriptome at single-exon resolution with ~1.4 million exon-level probe sets in 16 brain regions from donors representing both sexes and multiple ethnicities, across pre and postnatal development, including adolescence, and adulthood. We also generated genome-wide genotype data for 2.5 million single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) for each specimen. Our analyses of the data revealed several features of the human brain transcriptome: spatiotemporal expression dynamics of individual and functionally related groups of genes, differential exon usage, sex-specific expression patterns and exon usage, and organization of the transcriptome into functional modules. We also profiled developmental trajectories of genes important for neurobiological themes and genes associated with ASD and schizophrenia. Finally, we present associations between specific SNPs and gene expression levels in different brain regions across development. The dataset presented here provides research opportunities and a wealth of information not previously available to the scientific community.

Publication Title

Spatio-temporal transcriptome of the human brain.

Sample Metadata Fields

Sex, Age

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accession-icon GSE55278
Temporal Response to seasonal and pandemic H1N1 infection in human DCs
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE59714
Gene expression analysis of Influenza vaccine response in Young and Old
  • organism-icon Homo sapiens
  • sample-icon 156 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE59206
Peripheral blood gene-expression in heavy vs. moderate drinkers exposed to three types of personalized imagery
  • organism-icon Homo sapiens
  • sample-icon 198 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Alterations in stress-related gene-expression may play a role in stress-related drinking and the risk for alcohol dependence. Microarrays were used to measure changes in gene-expression in peripheral blood in non-smoking, social drinking subjects exposed to three types of personalized imagery: neutral, stressful (but not alcohol- related), and alcohol-related cues. Gene-expression was measured at baseline, immediately after, and 1 hour after stimulus presentation. Subjects were allowed to drink up to 750cc of beer in a taste-test following stimulus presentation in each imagery condition, and the amount of beer consumed was recorded. Gene-expression levels were compared in 2 groups of non-smoking subjects (n=11/group): heavy drinkers (HD, defined as regular alcohol use over the past year of at least 8 standard drinks/week for women and at least 15 standard drinks/week for men), and moderate drinkers (MD, defined as up to 7 standard drinks/week for women and 14 standard drinks/week for men).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE59654
Gene expression analysis of Influenza vaccine response in Young and Old - Year 2 - PBMC
  • organism-icon Homo sapiens
  • sample-icon 156 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We profiled gene expression from a stratified cohort of subjects to define influenza vaccine response in Young and Old

Publication Title

Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination.

Sample Metadata Fields

No sample metadata fields

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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