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accession-icon GSE51997
T helper lymphocyte- and monocyte-specific type I interferon (IFN) signatures in autoimmunity and viral infection.
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study demonstrates quantitative and qualitative differences between type I IFN signatures in autoimmunity and viral infection using purified CD4pos T cells and CD16pos- and CD16neg-monocyte subsets. We were able to discriminate between cell-specific viral response signatures and the pathogenically amplified IFN signatures observed in autoimmunity. The differences were of both a qualitative and quantitative nature, as the signatures in the patients with SLE were characterized by much more complexly compiled gene patterns with increased absolute gene expression levels.

Publication Title

Cell-specific type I IFN signatures in autoimmunity and viral infection: what makes the difference?

Sample Metadata Fields

Specimen part

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accession-icon GSE38351
The multifaceted balance of TNF-a and type I / II interferon responses in SLE and RA: how monocytes manage the impact of cytokines
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Many cytokines are involved in the pathogenesis of autoimmune diseases and are recognized as relevant therapeutic targets to attenuate inflammation, such as TNF in RA and IFN/ in SLE. To relate the transcriptional imprinting of cytokines in a cell type-specific and disease-specific manner, we generated gene-expression profiles from peripheral monocytes of SLE and RA patients and compared them to in vitro-generated signatures induced by TNF, IFN2a and IFN. Monocytes from SLE and RA patients revealed disease-specific gene-expression profiles. In vitro-generated signatures induced by IFN2a and IFN showed similar profiles that only partially overlapped with those induced by TNF. Comparisons between disease-specific and in vitro-generated signatures identified cytokine-regulated genes in SLE and RA with qualitative and quantitative differences. The IFN-responses in SLE and RA were found to be regulated in a STAT1-dependent and STAT1-independent manner, respectively. Similarly, genes recognized as TNF-regulated were clearly distinguishable between RA and SLE patients. While the activity of SLE monocytes was mainly driven by IFN, the activity from RA monocytes showed a dominance of TNF that was characterized by STAT1 down-regulation. The responses to specific cytokines were revealed to be disease-dependent and reflected the interplay of cytokines within various inflammatory milieus. This study has demonstrated that monocytes from RA and SLE patients exhibit disease-specific gene-expression profiles, which can be molecularly dissected when compared to in vitro-generated cytokine signatures. The results suggest that an assessment of cytokine-response status in monocytes may be helpful for improvement of diagnosis and selection of the best cytokine target for therapeutic intervention.

Publication Title

The multifaceted balance of TNF-α and type I/II interferon responses in SLE and RA: how monocytes manage the impact of cytokines.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

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accession-icon GSE27159
Expression profiling of the murine neural crest precursor cell line, JoMa1
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

JoMa1 cells are pluripotent precursor cells, derived from the neural crest of mice transgenic for tamoxifen-inducible c-Myc. Following transfection with a cDNA encoding for MYCN, cells become immortlized even in the absence of tamoxifen.

Publication Title

MYCN and ALKF1174L are sufficient to drive neuroblastoma development from neural crest progenitor cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE24758
Cryopreservation effects on peripheral blood
  • organism-icon Homo sapiens
  • sample-icon 101 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.

Sample Metadata Fields

Sex, Age, Specimen part, Time

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accession-icon GSE24755
Genome-wide analysis of the effect of long-term cryopreservation on peripheral blood mononuclear cells
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Analysis of effect of long-term cryopreservation on peripheral blood mononuclear cells at gene expression level. The hypothesis tested in the present study was that long-term cryopreservation has an influence on the transcriptome profile of peripheral blood mononuclear cells. Results indicated remarkable changes in expression patterns upon cryopreservation of PBMCs, with decreasing signal intensities over time.

Publication Title

RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.

Sample Metadata Fields

Sex, Age, Specimen part, Time

View Samples
accession-icon GSE24753
Genome-wide analysis of the effect of cryopreservation on peripheral blood mononuclear cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Analysis of cryopreservation effects on peripheral blood mononuclear cells at gene expression level. The hypothesis tested in the present study was that cryopreservation has an influence on the transcriptome profile of peripheral blood mononuclear cells. Results indicated remarkable changes in expression patterns upon cryopreservation of PBMCs, with a strong loss of signal intensities to background levels for several transcripts.

Publication Title

RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE24757
Genome-wide analysis of the effect of long-term freezing of PAXgene Blood RNA tubes
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Analysis of long-term freezing on the stability of transcriptome profiles in PAXgene stabilized whole blood samples. In the present study it was tested if long-term freezing of PAXgene RNA tubes (up to one year) has an influence on the transcriptome profile of peripheral whole blood samples. Results indicated that gene expression profiles of whole blood samples stabilized with PAXgene RNA tubes remain stable for at least 1 year.

Publication Title

RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.

Sample Metadata Fields

Sex, Age, Specimen part, Time

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accession-icon GSE21713
mRNA expression data from primary untreated neuroblastoma tumour samples
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The miR-17-92 microRNA cluster is often activated in cancer cells, but the identity of its targets remains largely elusive. Here we examined the effects of activation of the entire miR-17-92 cluster on global protein expression in neuroblastoma cells.

Publication Title

The miR-17-92 microRNA cluster regulates multiple components of the TGF-β pathway in neuroblastoma.

Sample Metadata Fields

Specimen part

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accession-icon SRP055890
Epigenomic landscapes of human inflammation associated macrophages [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiScanSQ

Description

We previously demonstrated by genomic and bioinformatical approaches that human macrophage (MF) activation is best described by a spectrum model (Xue et al, Immunity, 2014). MF integrate exogenous input signals on transcriptional level in a unique fashion to generate specific functional programs, enabling the plasticity in disease-related pathophysiologies. Such versatile responsiveness requires fast changes of transcription mediated by transcriptional regulators (TRs) or epigenomic changes. To better understand the principles of this regulation during human MF activation, we assessed histone modifications including H3K4me1, H3K4me3, H3K27me3, and H3K27Ac by ChIP-sequencing allowing us to characterize the functional state of promoters (active, poised, repressed) and enhancers (active, inactive, intermediate). Using transcriptome data from our MF spectrum model, we generated a co-regulation network of all TRs. Next, we overlaid epigenomic information and transcriptional changes of major TRs over time onto the TR network. We observed that input signals like IFN? or TNFa induce a specific network of TRs that are transcriptionally regulated themselves, the combination of regulated TRs changes over time with a boost of transcriptional regulation of dozens of TRs 4 to 12 hrs post input signal exposure, almost all TRs within the network show active promoters, even if the TR itself is not expressed, and similar results are obtained for enhancers with open or at least intermediated states. These findings strongly suggest that in MF, the TR-defined cellular ‘switch panel’ is always accessible thereby allowing MF to quickly respond to the diverse input signal repertoire from the environment. Overall design: Epigenetic analysis of promoter and enhancer sites in primary human macrophage subtypes and correlation to RNA-seq expression data

Publication Title

The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32386
Expression profiling of murine neuroblastoma in transgenic mice
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Neuroblastoma is an embryonal tumor arising from the neural crest. It can be mimicked in mice by neural crest-specific overepxression of oncogenes such as MYCN or mutated ALK.

Publication Title

Targeted expression of mutated ALK induces neuroblastoma in transgenic mice.

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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