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accession-icon GSE43961
Xist RNA is a potent suppressor of hematologic cancer in mice.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

X-chromosome aneuploidies have long been associated with human cancers, but causality has not been established. In mammals, X-chromosome inactivation (XCI) is triggered by Xist RNA to equalize gene expression between the sexes. Here we delete Xist in the blood compartment of mice and demonstrate that mutant females develop a highly aggressive myeloproliferative neoplasm and myelodysplastic syndrome (mixed MPN/MDS) with 100% penetrance. Significant disease components include primary myelofibrosis, leukemia, histiocytic sarcoma, and vasculitis. Xist-deficient hematopoietic stem cells (HSC) show aberrant maturation and age-dependent loss. Reconstitution experiments indicate that MPN/MDS and myelofibrosis are of hematopoietic rather than stromal origin. We propose that Xist loss results in X-reactivation and consequent genome-wide changes that lead to cancer, thereby causally linking the X-chromosome to cancer in mice. Thus, Xist RNA is not only required to maintain XCI but also suppresses cancer in vivo.

Publication Title

Xist RNA is a potent suppressor of hematologic cancer in mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP017913
Extensive changes in DNA methylation are associated with expression of mutant huntingtin [mRNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The earliest stages of Huntington’s disease are marked by changes in gene expression that are caused in an indirect and poorly understood manner by polyglutamine expansions in the huntingtin protein (HTT). To explore the hypothesis DNA methylation may be altered in cells expressing mutated HTT, we use reduced-representation bisulfite sequencing (RRBS) to map sites of DNA methylation in cells carrying either wild-type or mutant HTT. We find that a large fraction of the genes that change in expression in the presence of mutant huntingtin demonstrate significant changes in DNA methylation. Regions with low CpG content, which have previously been shown to undergo methylation changes in response to neuronal activity, are disproportionately affected. Based on the sequence of regions that change in methylation, we identify AP-1 and SOX2 as transcriptional regulators associated with DNA methylation changes, and we confirm these hypotheses using genome-wide chromatin immunoprecipitation (ChIP-Seq). Our findings suggest new mechanisms for the effects of polyglutamine-expanded HTT. These results also raise important questions about the potential effects of changes in DNA methylation on neurogenesis and at later stages, cognitive decline in Huntington’s patients. Overall design: mRNA-seq in STHdhQ7/Q7 and STHdhQ111/Q111 cells

Publication Title

Extensive changes in DNA methylation are associated with expression of mutant huntingtin.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP033131
Global analyses of the effect of different cellular contexts on microRNA targeting (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA-seqs followed by miRNA transfections (miR-124 and miR-155) into four different cell lines( HeLa, HEK293, Huh7, and IMR90). Overall design: There are two biological replicates of RNA-seqs per each miRNA transfection per each sample and there are corresponding mock transfections.

Publication Title

Global analyses of the effect of different cellular contexts on microRNA targeting.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE148414
Eye-antenna early L3 disc expression profiling in combinations of COX7a-LoF, ATF4-LoF and Notch-GoF
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Gene expression in larval, early third instar eye-antenna discs was assessed to reveal an ATF4 contribution to target gene induction following COX7a knockdown. As hypothesised, these COX7a-RNAi induced target genes require the transcription factor ATF4 for induction, irrespective of concomitant Notch pathway activation through Delta over-expression.

Publication Title

ATF4-Induced Warburg Metabolism Drives Over-Proliferation in Drosophila.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE148407
Eye-antenna early L3 disc expression profiling in COX7a-LoF and Notch-GoF
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Gene expression in larval, early third instar eye-antenna discs was assesed in genotypes with Notch Gain-of-Function (UAS-Delta or UAS-Notch[intra2]) over-expression or mitochondrial COX7a Loss-of-function (UAS-COX7a-RNAi) or a combination of both (UAS-Delta, UAS-COX7a-RNAi). The analysis revealed that, despite a strong genetic interaction between Notch pathway activation and knockdown of COX7a, no transcriptional cooperation or synergy was detectable in early L3 eye-antenna discs. Rather, COX7a knockdown induced a unique transcriptional signature, which further experiments revealed to be mediated by the transcription factor ATF4.

Publication Title

ATF4-Induced Warburg Metabolism Drives Over-Proliferation in Drosophila.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE52940
Expression data from mouse B Cells with mir-155 KO and WT
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to investigate the global changes of gene expression in B cells of mir-155 Knockout mice.

Publication Title

Global analyses of the effect of different cellular contexts on microRNA targeting.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40117
Analyses of transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 543 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For assessing the cancer-causing potential for humans of a chemical compound, the conventional approach is the use of the 2-year rodent carcinogenicity bioassay, thus alternatives such as in vitro toxicogenomics are highly desired. In the present study, the transcriptomics responses following exposure to genotoxic (GTX) and non-genotoxic (NGTX) hepatocarcinogens and non-carcinogens (NC) in five liver-based in vitro models, namely conventional and epigenetically-stabilized cultures of primary rat hepatocytes, the human hepatoma-derived HepaRG and HepG2 cell lines and the human embryonic stem cell-derived hepatocyte-like cells hES-Heps are examined and compared.

Publication Title

Transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon SRP027535
Targeting H3K4 methylation as a therapeutic strategy for Huntington''s disease (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

Transcriptional dysregulation is an early feature of Huntington''s disease (HD). We observed gene-specific changes in H3K4me3 at transcriptionally repressed promoters in R6/2 mouse and human HD brain. Genome-wide analysis showed a novel chromatin signature for this mark. Reducing the levels of the H3K4 demethylase SMCX/Jarid1c in primary neurons reversed down-regulation of key neuronal genes caused by mutant Huntingtin (Htt) expression. Finally, reduction of SMCX/Jarid1c in primary neurons from BACHD mice or the single Jarid1 in a Drosophila HD model was protective. Therefore, targeting this epigenetic signature may be an effective strategy to ameliorate the consequences of HD. Overall design: mRNA-seq in wild type and R6/2 cortex and striatum at 8 and 12 weeks.

Publication Title

Targeting H3K4 trimethylation in Huntington disease.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE70457
Whole-genome profiling of the liver transcriptome in Trpm6 gene deficient mice and control littermates.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To attain deeper insight into metabolic alterations in Trpm6 gene deficient mice we used microarrays for profiling of hepatic transcripts of Trpm6 ko and control mice.

Publication Title

Epithelial magnesium transport by TRPM6 is essential for prenatal development and adult survival.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE46170
Whole Genome Expression Array in Human T-cell Acute Lymphoblastic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Childhood T-ALL samples were compared with thymocyte subsets

Publication Title

Deregulated WNT signaling in childhood T-cell acute lymphoblastic leukemia.

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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