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accession-icon GSE141512
Expression data for patients with myocardial infarction (MI) vs healthy patients
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.

Publication Title

Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature.

Sample Metadata Fields

Sex, Specimen part, Disease stage

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accession-icon GSE58411
Blood Transcriptional Signature of hyperinflammation in HIV-associated Tuberculosis
  • organism-icon Homo sapiens
  • sample-icon 107 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Patients with HIV-associated TB are known to experience systemic hyperinflammation, clinically known as immune reconstitution inflammatory syndrome (IRIS), following the commencement of antiretroviral therapy (ART). No prognostic markers or biomarkers have been identified to date and little is known about the mechanism mediating the hyperinflammation. We recruited a prospective cohort of 63 patients with HIV-associated TB, 33 of whom developed TB-IRIS. Of which transcriptomic profiling was performed using longitudinal whole blood RNA samples from 15 non-IRIS and 17 TB-IRIS patients. Transcriptomic signatures that distinguish patients who would eventually develop IRIS were identified as early as week 0.5 (2-5 days post-ART) and predicted a downstream activation of proinflammatory cytokines. At the peak of IRIS (week 2), transcriptomic signatures were overrepresented by innate receptor signaling pathways including toll-like receptor, IL-1 receptor and TREM-1.

Publication Title

HIV-tuberculosis-associated immune reconstitution inflammatory syndrome is characterized by Toll-like receptor and inflammasome signalling.

Sample Metadata Fields

Specimen part

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accession-icon GSE47965
Environmental factors transmitted by aryl hydrocarbon receptor influence severity of psoriatic skin inflammation
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 12 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

Activation of the aryl hydrocarbon receptor dampens the severity of inflammatory skin conditions.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Subject

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accession-icon E-TABM-991
Transcription profiling by array of mouse CD8+ naive T cells from mice expressing normal IL-7R or conditional IL-7R alpha switched on or off for different amounts of time
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The transcriptional profile of CD8+ naive T cells was compared from F5 transgenic mice expressing normal IL-7R or a conditional IL-7R alpha that was either switched on, or switched off for different amounts of time.

Publication Title

IL-7 determines T cell fitness by distinct mechanisms at different signal strengths

Sample Metadata Fields

Specimen part

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accession-icon GSE47607
Environmental factors transmitted by aryl hydrocarbon receptor influence severity of psoriatic skin inflammation [Affymetrix]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Environmental stimuli are known to contribute to psoriasis pathogenesis and that of other autoimmune diseases, but the mechanism is unknown. Here we show that the aryl hydrocarbon receptor (AhR), a transcription factor that senses environmental stimuli, modulates pathology in psoriasis. AhR-activating ligands reduced inflammation in the lesional skin of psoriasis patients, whereas AhR antagonists upregulated inflammation. Similarly, AhR signaling via the endogenous FICZ ligand reduced the inflammatory response in the imiquimod-induced model of psoriasis and AhR deficient mice exhibited a substantial exacerbation of the disease, compared to AhR sufficient controls. Non-haematopoietic cells, in particular keratinocytes, were responsible for this hyper-inflammatory response, which involved increased reactivity to IL-1beta and upregulation of AP-1 family members of transcription factors. Thus, our data suggest a critical role for AhR in the regulation of inflammatory responses and open the possibility for novel therapeutic strategies in chronic inflammatory disorders.

Publication Title

Activation of the aryl hydrocarbon receptor dampens the severity of inflammatory skin conditions.

Sample Metadata Fields

Specimen part

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accession-icon GSE32955
Gene expression profiles of T cell fraction enriched for donor antigen-reactive T cells in skin allografted recipient mice
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE11677
Gene expression profiles of age-associated clonal expansions of CD8 memory T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Many aged individuals develop monoclonal expansions of CD8 T cells. These expansions are derived from a CD8 memory T cell that outcompetes neighboring CD8 T cells. The molecular alterations within clonal expansions that confer this competitive advantage relative to other CD8 T cells remains unknown. These microarray experiments were designed to identify genes differentially expressed in age-associated expansions of CD8 memory T cells relative to polyclonal CD8 memory T cells found in the same aged mice.

Publication Title

Identification of two major types of age-associated CD8 clonal expansions with highly divergent properties.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32952
Gene expression profiles of T cell fraction enriched for donor antigen-reactive T cells in skin allografted recipient mice (I)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Measurement of specific gene expression in clinical samples is a promising approach for monitoring the recipient immune status to the graft in organ transplantation. Identification of biomarker genes closely associated with tolerance or rejection is critical for this monitoring protocol. Unlike previous studies, our microarray analysis focused on donor antigen-reactive T cells, which were prepared by collecting CD69+ T cells from cocultures of recipient peripheral T cells and donor antigen-presenting cells. A comparison of different recipient groups enabled us to identify several tolerance- and rejection-correlated biomarker genes, including previously unknown genes. By measuring biomarker gene expression in the CD69+ T cell fraction using quantitative reverse-transcription polymerase chain reaction, we were able to precisely detect the immune status of recipients relative to their graft.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE32953
Gene expression profiles of T cell fraction enriched for donor antigen-reactive T cells in skin allografted recipient mice (II)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Measurement of specific gene expression in clinical samples is a promising approach for monitoring the recipient immune status to the graft in organ transplantation. Identification of biomarker genes closely associated with tolerance or rejection is critical for this monitoring protocol. Unlike previous studies, our microarray analysis focused on donor antigen-reactive T cells, which were prepared by collecting CD69+ T cells from cocultures of recipient peripheral T cells and donor antigen-presenting cells. A comparison of different recipient groups enabled us to identify several tolerance- and rejection-correlated biomarker genes, including previously unknown genes. By measuring biomarker gene expression in the CD69+ T cell fraction using quantitative reverse-transcription polymerase chain reaction, we were able to precisely detect the immune status of recipients relative to their graft.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP059989
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

By means of 3' end sequencing we provide a genome-wide, high-resolution polyadenylation map of the human heart. By sequencing 5 control en 5 dilated cardiomyopathy (DCM) myocardial specimens we investigate the difference in alternative polyadenylation (APA) in healthy and diseased hearts.

Publication Title

Genome-Wide Polyadenylation Maps Reveal Dynamic mRNA 3'-End Formation in the Failing Human Heart.

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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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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