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accession-icon GSE81661
Transcription Factor TLX1 Controls Retinoic Acid Signaling to Ensure Spleen Development
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcription factor TLX1 controls retinoic acid signaling to ensure spleen development.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE68519
Transcription Factor TLX1 Controls Retinoic Acid Signaling to Ensure Spleen Development [Microarray Expression]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The molecular mechanisms underlying asplenia, a condition often associated with overwhelming infections remain largely unknown. During spleen development, the transcription factor TLX1 controls morphogenesis and organ expansion, and loss of it causes spleen agenesis. However, the downstream signaling pathways that are deregulated in the absence of TLX1 are mostly unknown. Herein, we demonstrate that loss of Tlx1 in the splenic mesenchyme causes increased retinoic acid (RA) signaling. Increased RA activity causes premature differentiation of the splenic mesenchyme and reduced vasculogenesis of the splenic anlage. Moreover, excess or deficiency in RA signaling, as observed in Cyp26b1 or Rdh10 mutants respectively, also results in spleen growth arrest. Genome-wide analysis revealed that TLX1 binds RA-associated genes through the AP-1 site and cooperates with the AP-1 family transcription factors to regulate transcription. Pharmacological inhibition of RA signaling partially rescues the spleen defect. These findings establish the critical role of TLX1 in controlling RA metabolism, and provide novel mechanistic insights into the molecular determinants underlying congenital asplenia.

Publication Title

Transcription factor TLX1 controls retinoic acid signaling to ensure spleen development.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE77173
Gene expression profiling of Mec-1 cells upon chronic silencing of HIF-1a
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

This experiment was carried out in the context of a study aimed to identify the function of the transcription facotrs HIF-1a in the pathogenesis of chronic lymphocytic leukemia (CLL).

Publication Title

HIF-1α regulates the interaction of chronic lymphocytic leukemia cells with the tumor microenvironment.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE71370
Profiling of CD14+ monocytes from paired rheumatoid arthritis (RA)-patient peripheral blood and synovial fluid samples
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD14+ monocytes sorted from the synovial fluid or peripheral blood of rheumatoid arthritis patients were analyzed by full transcriptome microarray analysis. Monocytes from healthy control samples (peripheral blood) were also profiled.

Publication Title

MicroRNA-155 contributes to enhanced resistance to apoptosis in monocytes from patients with rheumatoid arthritis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE57658
Activating c-KIT mutations confers oncogenic cooperativity and rescue RUNX1-ETO induced DNA-damage in human cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

REtr causes genomic instability in U937 cells. Activated forms of c-KIT, like c-KIT(N822K), rescues the Retr induced genomic instability by increasing the rate of DNA repair by homologous recombination

Publication Title

Activating c-KIT mutations confer oncogenic cooperativity and rescue RUNX1/ETO-induced DNA damage and apoptosis in human primary CD34+ hematopoietic progenitors.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE63358
Expression data from invariant natural killer T (iNKT) cells in spleen and adipose tissue
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Adipose tissue iNKT cells have different functions than iNKT cells in the blood and other organs.

Publication Title

Regulatory iNKT cells lack expression of the transcription factor PLZF and control the homeostasis of T(reg) cells and macrophages in adipose tissue.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP158633
Single-cell profiling of the myeloid landscape identifies cell subsets with distinct fates during neuroinflammation
  • organism-icon Mus musculus
  • sample-icon 55 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

The innate immune cell compartment is highly diverse in the healthy central nervous system (CNS) including parenchymal and non-parenchymal macrophages. However, this complexity is increased in inflammatory settings by the recruitment of circulating myeloid cells. It is unclear which disease-specific myeloid subsets exist and what their transcriptional profiles and dynamics during CNS pathology are. By combining deep single-cell transcriptome analysis, fate mapping, in vivo imaging, clonal analysis, and transgenic lines, we comprehensively characterized unappreciated myeloid subsets in several CNS compartments during neuroinflammation. During inflammation, CNS macrophage subsets undergo self-renewal, and random proliferation shifted towards clonal expansion. Finally, functional studies demonstrated that endogenous CNS tissue macrophages are redundant for antigen presentation. Our results highlight myeloid cell diversity and provide insights into the brain's innate immune system. Overall design: CD45+ cells isolated from different CNS compartments (including leptomeninges, perivascular space and parenchyma, and choroid plexus) and Ly6Chigh and Ly6Clow monocytes from blood were FACS-sorted in 384-well plates and used for scRNAseq. All myeloid cells were sorted from C57BL/6N mice with 8-10 weeks of age at naive stage or at different stages of Experimental Autoimmune Encephalomyelitis (preclinical, onset and peak of the disease). Data are representative of 16-18 mice from three independent experiments. mCEL-Seq2 protocol was used for single cell sequencing (Hashimshony et al. 2016, Herman et al. 2018).

Publication Title

Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage, Cell line, Subject

View Samples
accession-icon GSE61804
Role of NFATc1 in patients with FLT3-ITD AML
  • organism-icon Homo sapiens
  • sample-icon 321 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Diagnostic samples of peripheral blood form acute myeloid leukemia were analysed for gene expression differences

Publication Title

NFATc1 as a therapeutic target in FLT3-ITD-positive AML.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE61500
Microarray analysis to evaluate the role of USP18 in primary microglia and the microglia cell line BV-2
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Microglia are tissue macrophages of the central nervous system (CNS) that control tissue homeostasis, and as such they are crucially important for organ integrity. Microglia dysregulation is thought to be causal for a group of neuropsychiatric, neurodegenerative and neuroinflammatory diseases, called microgliopathies. However, how the intracellular stimulation machinery in microglia is controlled is poorly understood. By using expression studies, we identified the ubiquitin-specific protease (Usp) 18 in white matter microglia that essentially contributes to microglial quiescence under homeostatic conditions. We further found that microglial Usp18 negatively regulated the activation of STAT1 and concomitant induction of interferon-induced genes thereby disabling the termination of IFN signalling. Unexpectedly, the Usp18-mediated feedback loop was independent from the catalytic domain of the protease but instead required the interacting region of Ifnar2. Additionally, the absence of Ifnar1 completely rescued microglial activation indicating a tonic IFN signal mediated by receptor interactions under non-diseased conditions. Finally, conditional depletion of Usp18 only in myeloid cells significantly enhanced the disease burden in a mouse model of CNS autoimmunity, increased axonal and myelin damage and determined the spatial distributions of CNS lesions that shared the same STAT1 signature as myeloid cells found in active multiple sclerosis (MS) lesions. These results identify Usp18 as novel negative regulator of microglia activation, demonstrate a protective role of the IFNAR pathway for microglia and establish Usp18 as potential therapeutic target for the treatment of MS.

Publication Title

USP18 lack in microglia causes destructive interferonopathy of the mouse brain.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE61499
Microarray analysis to evaluate the function of USP18 in the mouse CNS
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Microglia are tissue macrophages of the central nervous system (CNS) that control tissue homeostasis, and as such they are crucially important for organ integrity. Microglia dysregulation is thought to be causal for a group of neuropsychiatric, neurodegenerative and neuroinflammatory diseases, called microgliopathies. However, how the intracellular stimulation machinery in microglia is controlled is poorly understood. By using expression studies, we identified the ubiquitin-specific protease (Usp) 18 in white matter microglia that essentially contributes to microglial quiescence under homeostatic conditions. We further found that microglial Usp18 negatively regulated the activation of STAT1 and concomitant induction of interferon-induced genes thereby disabling the termination of IFN signalling. Unexpectedly, the Usp18-mediated feedback loop was independent from the catalytic domain of the protease but instead required the interacting region of Ifnar2. Additionally, the absence of Ifnar1 completely rescued microglial activation indicating a tonic IFN signal mediated by receptor interactions under non-diseased conditions. Finally, conditional depletion of Usp18 only in myeloid cells significantly enhanced the disease burden in a mouse model of CNS autoimmunity, increased axonal and myelin damage and determined the spatial distributions of CNS lesions that shared the same STAT1 signature as myeloid cells found in active multiple sclerosis (MS) lesions. These results identify Usp18 as novel negative regulator of microglia activation, demonstrate a protective role of the IFNAR pathway for microglia and establish Usp18 as potential therapeutic target for the treatment of MS.

Publication Title

USP18 lack in microglia causes destructive interferonopathy of the mouse brain.

Sample Metadata Fields

Specimen part

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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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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