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accession-icon E-MEXP-557
Transcription profiling of Arabidopsis wild type, cop1-4, hy5-1 mutant seedlings exposed to polychromatic radiation
  • organism-icon Arabidopsis thaliana
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Seven-day-old white-light-grown wild-type, cop1-4 or hy5-1 mutant Arabidopsis seedlings were exposed for fifteen minutes to polychromatic radiation with decreasing short-wave cut-off in the UV range (WG305 = +UV-B, WG327 = -UV-B) and samples were taken 1 h after the onset of irradiation.

Publication Title

CONSTITUTIVELY PHOTOMORPHOGENIC1 is required for the UV-B response in Arabidopsis.

Sample Metadata Fields

Age, Time

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accession-icon E-MEXP-550
Transcription profiling of Arabidopsis response to UV-B
  • organism-icon Arabidopsis thaliana
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Seven-day-old white-light-grown Arabidopsis seedlings were exposed for 15 minutes to polychromatic radiation with decreasing short-wave cut-off in the UV range, transferred back to the standard growth chamber and samples were taken 1 and 6 hours after the start of irradiation.

Publication Title

Genome-wide analysis of gene expression reveals function of the bZIP transcription factor HY5 in the UV-B response of Arabidopsis.

Sample Metadata Fields

Age, Time

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accession-icon E-MEXP-2126
Transcription profiling of Drosophila wild type and Ada2b knock out pupa
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

The study of the role of Drosophila Ada2b SAGA histone acetyltransferase component at early pupal stage (P4)

Publication Title

Genes of the ecdysone biosynthesis pathway are regulated by the dATAC histone acetyltransferase complex in Drosophila.

Sample Metadata Fields

Sex, Age, Time

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accession-icon GSE81309
U937 treated with decitabine, panobinostat and valproic acid
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE81307
U937 treated with decitabine, panobinostat and valproic acid [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

We employed the AML cell line model U937 to determine the effects of single and dual treatment with the HMA decitabine and the HDACi Pano or VPA on gene expression and DNA methylation. We noted global alterations of gene expression and a massive effect on the methylome.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE92878
mRNA expression data from in vitro modelling of erythroid differentiation in a leukemia cell line model
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

One major mode of action of DNA hypomethylating agents such as decitabine (DAC) is reactivation of gene expression and induction of differentiation. Prompted by observations of differentiation induction in leukemic myeloid cells and upregulation of fetal hemoglobin (HbF) in adult patients suffering from hemoglobinopathies, we aimed at systematically investigating the potential and significance of DAC for in vitro and in vivo induction of erythroid differentiation and HbF expression. In K562 (bcr-abl positive) and HEL (bcr-abl negative) myeloid leukemia cell line models, both with bilineage differentiation potential, erythroid differentiation and hemoglobin synthesis but not megakaryocytic differentiation could be induced by DAC treatment. The induction of erythroid differentiation was accompanied by a specific transcriptome signature that shared common patterns and groups of genes with the changes observed in K562 cells treated with the hemin, a known inducer of erythropoesis. Top regulated groups of transcripts in DAC treated cells were related to erythropoesis and iron metabolism. DAC treatment led to reactivation and upregulation of alpha globin and genes of the beta globin locus including the gamma globins resulting in HbF tetramer protein synthesis in K562 cells. This DAC-induced erythroid differentiation and HbF induction was accompanied by 2-3 fold upregulation of the key erythroid transcription factor GATA1. In contrast, PMA, an inducer of megakaryocytic differentiation, conversely led to a loss of GATA1 expression in K562 cells. Serial HbF measurements in DAC treated AML (n=25) and high-risk MDS (n=15) patients revealed that induction of HbF or persistent elevated HbF levels during treatment can also be detected in a significant proportion of patients in vivo (61,5%, p=0.033). Here, early HbF induction (after 2 courses) was significantly associated with platelet increment (rs=0.534, p=0.027) and strongly predicted neutrophil recovery (rs=0.554, p=0.021). The presence of elevated HbF levels in patients achieving CR upon DAC and exhibiting complete (cytogenetic) clearance of the malignant clone suggests that HbF induction does not occur in cells of the malignant clone but rather in non-malignant, polyclonal erythroid precursor cells. One major mode of action of DNA hypomethylating agents such as decitabine (DAC) is reactivation of gene expression and induction of differentiation. Prompted by observations of differentiation induction in leukemic myeloid cells and upregulation of fetal hemoglobin (HbF) in adult patients suffering from hemoglobinopathies, we aimed at systematically investigating the potential and significance of DAC for in vitro and in vivo induction of erythroid differentiation and HbF expression.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE63295
Gene expression comparision in the developing striatum between transgenic rats expressing full-length human mutant huntingtin and time-matching controls
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

The mechanisms involved in the pathogenesis of HD that result in late, and fatal, neurodegeneration are still not fully understood. The monogenic nature of HD is in contradiction with the complexity of the cellular alterations found in patients with HD. Huntingtin interacts with a broad range of proteins within the cell, and it is altered by the expanded polyglutamine tract. Transcriptional dysregulation is a common finding in genetic models and in human HD patients, and it is thought to play an important role in the disease. Although the onset of the disease is late in life, growing lines of evidence suggest that mHtt causes alterations in development. In this microarray study, the effects of mHtt on the transcriptome were investigated with a full-length human huntingtin (96 CAG repeats) expressing transgenic rat model of HD at an early stage of development (E14).

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE98823
Knockout of HDAC1 and HDAC2 in Microglia
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Histone Deacetylases 1 and 2 Regulate Microglia Function during Development, Homeostasis, and Neurodegeneration in a Context-Dependent Manner.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE73125
Transcriptome-based profiling reveals a macrophage pedigree and identifies Irf8 as pivotal for macrophage homeostasis and function
  • organism-icon Mus musculus
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Recent studies have shown that tissue macrophages (MF) arise from embryonic progenitors of the yolk sac (YS) and fetal liver and colonize the tissues before birth. Further studies have proposed that developmentally distinct tissue MF can be identified based on the differential expression of F4/80 and CD11b, but whether a characteristic transcriptional profile exists is largely unknown. Here, we established an inducible fate mapping system that facilitated the identification of A2 progenitors of the YS as source of F4/80hi but not CD11bhi MF. Large-scale transcriptional profiling of MF precursors from the YS until adulthood allowed the description of a complex MF pedigree. We further identified a distinct molecular signature of F4/80hi and CD11bhi MF and found that Irf8 was vital for MF maturation and the innate immune response. Our data provide new cellular and molecular insights into the origin and developmental pathways of tissue MF.

Publication Title

Transcriptome-based profiling of yolk sac-derived macrophages reveals a role for Irf8 in macrophage maturation.

Sample Metadata Fields

Specimen part

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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

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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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