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accession-icon SRP073621
The role of miR-17-92 in the miRegulatory landscape of Ewing Sarcoma (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

MicroRNAs serve to fine-tune gene expression and play an important regulatory role in tissue specific gene networks. The identification and validation of miRNA target genes in a tissue still poses a significant problem since the presence of a seed sequence in the 3´UTR of an mRNA and its expression modulation upon ectopic expression of the miRNA do not reliably predict regulation under physiological conditions. The chimeric oncoprotein EWS-FLI1 is the driving pathogenic force in Ewing Sarcoma. miR-17-92, one of the most potent oncogenic miRNAs, was recently reported to be the top EWS-FLI1 activated miRNA. Using a combination of AGO2 pull-down experiments by PAR-CLIP (Photoactivatable-Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation) and of RNAseq upon miRNA depletion by ectopic sponge expression, we aimed to identify the targetome of miR-17-92 in Ewing sarcoma. Intersecting both datasets we found an enrichment of PAR-CLIP hits for members of the miR-17-92 cluster in the 3´UTRs of genes up-regulated in response to mir-17-92 specific sponge expression. Strikingly, approximately a quarter of these genes annotate to the TGFB/BMP pathway, the majority mapping downstream of SMAD signalling. Taken together, our findings shed light on the complex miRegulatory landscape of Ewing Sarcoma pointing miR-17-92 as a key node connected to TGFB/BMP pathway Overall design: mRNA profiles of a Ewings Sarcoma cellline (clone of A673 with inducible sh EWS-FLI1 knockdown) treated with microRNA sponges and controls

Publication Title

The role of miR-17-92 in the miRegulatory landscape of Ewing sarcoma.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP075467
Characterisation of EZH2-deficient human embryonic stem cells [single cell RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 221 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Here we analyse single cell transcriptome profiles of EZH2-deficient human embroynic stem cells Overall design: Single cell transcriptome (mRNA-Seq) from Ezh2-/- (Null) and EZH2+/+ (WT) human ESC

Publication Title

Deletion of the Polycomb-Group Protein EZH2 Leads to Compromised Self-Renewal and Differentiation Defects in Human Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE2406
WTv.AOXantisense
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Leaf transcriptome comparison of untransformed Col-0 Arabidopsis plants with plants transformed to be anti-sense for AtAOX1a (alternative oxidase). Two bio-replicates were sampled, for a total of four microarray chipsCol-0 and anti-sense leaf tissue from a first planting (samples GSM45208 and GSM45231, respectively), and from a second planting made one week later (samples GSM45209 and GSM45278, respectively). See sample descriptions for growth conditions and microarray procedure.

Publication Title

Characterization of transformed Arabidopsis with altered alternative oxidase levels and analysis of effects on reactive oxygen species in tissue.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21444
Expression profiling of murine DCIS and invasive ductal breast carcinoma
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Murine healthy tissue samples, DCIS and invasive mammary tumors were analyzed in order to identify marker genes which show enhanced expresssion in DCIS and invasive ductal carcinomas.

Publication Title

Identification of early molecular markers for breast cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE21422
Expression profiling of human DCIS and invasive ductal breast carcinoma
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human healthy tissue samples, DCIS and invasive mammary tumors were analyzed in order to identify marker genes which show enhanced expresssion in DCIS and invasive ductal carcinomas.

Publication Title

Identification of early molecular markers for breast cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE77839
Transcriptome analysis of a FACS-sorted human intersitial cells of Cajal (ICC) [array]
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Interstitial cells of Cajal (ICC) are electrical pacemakers and mediators of neuromuscular neurotransmission in the gastrointestinal tract. Gastrointestinal stromal tumors (GIST) arise within the ICC lineage due to activating KIT/PDGFRA mutations. In this study we developed a method for isolation of human ICC by immunolabeling and fluorescence-activated cell sorting (FACS). Briefly, human gastric musculature was dissociated and incubated with antibodies against CD45, FCER1A, CD11B, KIT, and CD34. ICC (defined as HP-KIT+CD34- cells), NOT ICC (defined as HP-KIT-CD34- cells), and hematopoietic (HP) cells (defined as HP+ cells) were isolated using FACS. Microarray was performed on ICC, NOT ICC, HP+ cells, and unfractionated gastric tunica muscularis. This study utilized micorarray for the phenotypic characterization of FACS-sorted human ICC, allowing comparison of ICC to other cells of the gastric musculature, including GIST.

Publication Title

Hedgehog pathway dysregulation contributes to the pathogenesis of human gastrointestinal stromal tumors via GLI-mediated activation of KIT expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE69421
Genetic background of immune complications
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Differencies between groups between pre and post haematopoietic stem cell transplantation children

Publication Title

Genetic Background of Immune Complications after Allogeneic Hematopoietic Stem Cell Transplantation in Children.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE87493
Gene expression in blood of obese pediatric patients
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Differences between groups of children with obesity and healthy controls.

Publication Title

Looking for new diagnostic tools and biomarkers of hypertension in obese pediatric patients.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE81740
Regulation of NRF2 signaling by O-GlcNAcylation of KEAP1
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

O-GlcNAcylation is an essential, nutrient-sensitive post-translational modification, but its biochemical and phenotypic effects remain incompletely understood. To address this knowledge gap, we investigated the global transcriptional response to perturbations in O-GlcNAcylation. Unexpectedly, many transcriptional effects of O-GlcNAc transferase (OGT) inhibition were due to the activation of NRF2, the master regulator of redox stress tolerance. Moreover, we found that a signature of low OGT activity strongly correlates with NRF2 activation in multiple tumor expression datasets. Guided by this information, we identified KEAP1 (also known as KLHL19), the primary negative regulator of NRF2, as a direct substrate of OGT. We show that O-GlcNAcylation of KEAP1 at serine 104 is required for the efficient ubiquitination and degradation of NRF2. Interestingly, O-GlcNAc levels and NRF2 activation co-vary in response to glucose fluctuations, indicating that KEAP1 O-GlcNAcylation links nutrient sensing to downstream stress resistance. Our results reveal a novel regulatory connection between nutrient-sensitive glycosylation and NRF2 signaling, and provide a blueprint for future approaches to discover functionally important O-GlcNAcylation events on other KLHL family proteins in various experimental and disease contexts.

Publication Title

Glycosylation of KEAP1 links nutrient sensing to redox stress signaling.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP149974
RNAseq data of brain cortex from mice at d10 post-microglia depletion and non-depleted controls
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Previous studies have reported that microglia depletion leads to impairment of synapse formation and these cells rapidly repopulate from CNS progenitors. However, the impact of microglia depletion and repopulation on the long-term state of the CNS environment has not been characterized. Here, we found by RNA-seq analysis that acute and synchronous microglia depletion results in a type 1-interferon inflammatory signature in degenerating somatosensory cortex in microglia-depleted mice. Transcriptomic and mass cytometry analysis of repopulated microglia demonstrates an interferon regulatory factor 7-driven activation state. Minocycline and anti-IFNAR1 antibody treatment attenuate the CNS type-1 interferon-driven inflammation and restore microglia homeostasis. Together, we found that acute microglia ablation induces a type-1 interferon activation state of grey matter microglia associated with acute neurodegeneration. Overall design: RNAseq analysis of brain cortical tissue from control and microglia-depleted mice.

Publication Title

Acute microglia ablation induces neurodegeneration in the somatosensory system.

Sample Metadata Fields

Specimen part, Subject

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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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