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accession-icon GSE106435
Transcriptional profiling of murine CD4+ T cells following treatment with the supercooling compound icilin
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The synthetic supercooling drug, icilin, and its primary receptor target, the cation channel transient receptor potential (TRP) melastatin-8 (TRPM8), have been described as potent negative regulators of inflammation in the colon. The aim of this study was to determine whether the anti-inflammatory action of icilin could potentially be used to treat autoimmune neuroinflammatory disorders, such as multiple sclerosis (MS). During experimental autoimmune encephalomyelitis (EAE)a CD4+ T celldriven murine model of MSwe found that both wild-type (WT) and TRPM8-deficient EAE mice were protected from disease progression during icilin treatment, as evidenced by delays in clinical onset and reductions in neuroinflammation. In vitro, icilin potently inhibited the proliferation of murine and human CD4+ T cells, with the peripheral expansion of autoantigen-restricted T cells similarly diminished by the administration of icilin in mice. Attenuation of both TRPM8-/- and TRP ankyrin-1-/- T cell proliferation by icilin was consistent with the WT phenotype, which suggests a mechanism that is independent of these channels. In addition, icilin treatment altered the expressional profile of activated CD4+ T cells to one that was indicative of restricted effector function and limited neuroinflammatory potential. These findings identify a potent anti-inflammatory role for icilin in lymphocyte-mediated neuroinflammation and highlight clear pleiotropic effects of the compound beyond classic TRP channel activation.

Publication Title

The cooling compound icilin attenuates autoimmune neuroinflammation through modulation of the T-cell response.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE21076
Arabidopsis thaliana/Hyaloperonospora arabidopsidis compatible interaction transcriptome
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We used Arabidopsis full-genome microarrays to characterize plant transcript accumulations at different stages of infection with the biotrophic oomycete downy mildew pathogen, Hyaloperonospora arabidopsidis : initiation (< 1 dpi) and maintenance of infection (> 4 dpi).

Publication Title

An Arabidopsis (malectin-like) leucine-rich repeat receptor-like kinase contributes to downy mildew disease.

Sample Metadata Fields

Specimen part

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accession-icon SRP018692
Avian resistance to Campylobacter jejuni colonization is associated with an intestinal immunogene expression signature identified by mRNA sequencing.
  • organism-icon Gallus gallus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

RNAseq analysis of caecal tissue from 14 C. jejuni-susceptible and 14 C. jejuni-resistant birds from a single population of infected chickens was conducted in order to identify gene expression associated with resistance to colonization. Significantly higher expression of genes involved in the innate immune response, cytokine signaling, B cell and T cell activation and immunoglobulin production, as well as the renin-angiotensin system was observed in resistant birds. Overall design: A population of 255 Barred Rock chickens were orally inoculated with C. jejuni and their caecal colonization levels estimated 48 hours post-inoculation. Caecal samples from 14 birds with no colonization and the 14 birds with the highest colonization were selected for mRNA sequencing.

Publication Title

Genome-wide association analysis of avian resistance to Campylobacter jejuni colonization identifies risk locus spanning the CDH13 gene.

Sample Metadata Fields

Specimen part, Subject

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accession-icon E-MEXP-127
Transcription profiling of adult drosophila renal tubule vs whole fly
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

The experiment was designed to identify genes abundant or enriched in adult Drosophila melanogaster Malpighian (renal) tubule as compared to the whole fly.

Publication Title

Function-informed transcriptome analysis of Drosophila renal tubule.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE1690
Comparison of Drosophila melanogaster Malpighian tubule v whole fly
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

This is an affymetrix array experiment comparing the transcriptome of the Malpighian tubule (or renal tubule) of 7-day adult Oregon R strain Drosophila melanogaster with matched whole fly samples.

Publication Title

Function-informed transcriptome analysis of Drosophila renal tubule.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8650
Blood Leukocyte Microarrays to Diagnose Systemic Onset Juvenile Idiopathic Arthritis and Follow IL-1 blocade
  • organism-icon Homo sapiens
  • sample-icon 232 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Systemic onset Juvenile Idiopathic Arthritis (SoJIA) represents up to 20% of Juvenile Idiopathic Arthritis (JIA). We have previously reported that this disease is Interleukin 1 (IL1)-mediated, and that IL-1 blockade results in clinical remission in the majority of patients. The diagnosis of SoJIA, however, still relies on clinical findings as no specific diagnostic tests are available, which leads to delays in the initiation of specific therapy. To identify specific diagnostic markers, we analyzed gene expression profiles in 19 pediatric patients with SoJIA during the systemic phase of the disease (fever and/or arthritis), 25 SoJIA patients with no systemic symptoms (arthritis only or no symptoms), 39 healthy controls, 94 pediatric patients with acute viral and bacterial infections (available under GSE6269), 38 pediatric patients with Systemic Lupus Erythematosus (SLE), and 6 patients with a second IL-1 mediated disease known as PAPA syndrome. Statistical group comparison and class prediction identified genes differentially expressed in SoJIA patients compared to healthy children. These genes, however, were also changed in patients with acute infections and SLE. By performing an analysis of significance across all diagnostic groups, we generated a list of 88 SoJIA-specific genes (p<0.01 in SoJIA and >0.5 in all other groups). A subset of 12/88 genes permitted us to accurately classify an independent test set of SoJIA patients with systemic disease. We were also able to identify a group of transcripts that changed significantly in patients undergoing IL-1 blockade. Thus, analysis of transcriptional signatures from SoJIA blood leukocytes can help distinguishing this disease from other febrile illnesses and assessing response to therapy. Availability of accurate diagnostic markers for SoJIA patients may allow prompt initiation of effective therapy and prevention of long-term disabilities.

Publication Title

Blood leukocyte microarrays to diagnose systemic onset juvenile idiopathic arthritis and follow the response to IL-1 blockade.

Sample Metadata Fields

Sex, Age, Treatment, Race

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accession-icon GSE55014
Identification of candidate genes regulated by E4bp4 in murine bone marrow
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

E4bp4 is essential for the development of natural killer (NK) cells. We sought to identify downstream targets of E4bp4 by comparing mRNA expression in wild type vs. E4bp4 knockout

Publication Title

The transcription factor E4bp4/Nfil3 controls commitment to the NK lineage and directly regulates Eomes and Id2 expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE16129
Enhanced Monocyte Response & Decreased Central Memory T Cells in Children with Invasive Staphylococcus aureus Infections
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Staphylococcus aureus has emerged as a significant pathogen causing severe, invasive disease in otherwise healthy people. Despite considerable advances in understanding the epidemiology, resistance mechanisms, and virulence factors produced by the bacteria, there is limited knowledge of the in vivo host immune response to acute, invasive S. aureus infections. Herein, we report that peripheral blood mononuclear cells from patients with severe S. aureus infections demonstrate a distinctive and robust gene expression profile which is validated in a distinct group of patients and on a different microarray platform. Application of a systems-wide modular analysis framework reveals significant over-expression of innate immunity genes and under-expression of genes related to adaptive immunity. Simultaneous flow cytometry analyses demonstrated marked alterations in immune cell numbers, with decreased central memory CD4 and CD8 T cells and increased number of monocytes. CD14+ monocyte numbers significantly correlated with the gene expression levels of genes related to the innate immune response. These results demonstrate the value of applying a systems biology approach that reveals the significant alterations in the components of circulating blood lymphocytes and monocytes in invasive S. aureus infections.

Publication Title

Enhanced monocyte response and decreased central memory T cells in children with invasive Staphylococcus aureus infections.

Sample Metadata Fields

Sex, Treatment, Race

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accession-icon GSE73351
The Arabidopsis thaliana map65-3 and ugt76b1 mutant transcriptomes upon the compatible interaction with Hyaloperonospora arabidopsidis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We used Arabidopsis full-genome microarrays to characterize plant transcript accumulations in map65-3 and ugt76b1 mutants, 3 days after water treatment and inoculation with the biotrophic oomycete downy mildew pathogen, Hyaloperonospora arabidopsidis (Hpa)

Publication Title

The Arabidopsis microtubule-associated protein MAP65-3 supports infection by filamentous biotrophic pathogens by down-regulating salicylic acid-dependent defenses.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE38909
Transcriptional profiling analysis of pre-selected DP thymocytes in response to positive and negative selection signals
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Sustained Ca2+ entry into CD4+CD8+ double-positive thymocytes is required for positive selection. We identified a voltage-gated Na+ channel (VGSC), essential for positive selection of CD4+ T cells. Pharmacological inhibition of VGSC activity inhibited sustained Ca2+ influx induced by positive-selecting ligands and in vitro positive selection of CD4+ but not CD8+ T cells. In vivo shRNA knockdown of Scn5a specifically inhibited positive selection of CD4+ T cells. Ectopic expression of VGSC in peripheral AND CD4+ T cells bestowed the ability to respond to a positively selecting ligand, directly demonstrating VGSC expression was responsible for increased sensitivity. Thus active VGSCs in thymocytes provides a mechanism by which a weak positive selecting signal can induce sustained Ca2+ signals required for CD4+ T cell development.

Publication Title

A voltage-gated sodium channel is essential for the positive selection of CD4(+) T cells.

Sample Metadata Fields

Specimen part

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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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