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accession-icon GSE88812
Gene expression data of trial drug Dehydroabietylamine derivative-2 (DAAD-2) for Sensitive (HEP3B) and resistant (SNU449) hepatocellular carcinoma (HCC) cell lines with controls
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatocellular carcinoma (HCC) is a highly prevalent and deadly disease world-wide. The survival of HCC patients is usually very poor due to the lack of efficient anti-cancer drugs

Publication Title

Synthesis and bio-molecular study of (+)-N-Acetyl-α-amino acid dehydroabietylamine derivative for the selective therapy of hepatocellular carcinoma.

Sample Metadata Fields

Cell line, Treatment

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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

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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

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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

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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

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accession-icon GSE17548
Expression data from cirrhosis and HCC tissue samples
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatocellular carcinoma (HCC) is the fifth most-common cancer worldwide causing nearly 600,000 deaths esch year. Approximately 80% of HCC develops on the background of cirrhosis.It is necessary to identify novel genes involved in HCC to implement new diagnostic and treatment options. However, the molecular pathogenesis of HCC largely remains unsolved. Only a few genetic alterations, namely those affecting p53, -catenin and p16INK4a have been implicated at moderate frequencies of these cancers. Early detection of HCC with appropriate treatment can decrease tumor-related deaths

Publication Title

Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE17546
Expression data from immortal and senescence-programmed Huh7 clones
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cellular senescence is a tumor suppressor mechanism, and immortalization facilitates neoplastic transformation. Both mechanisms may be highly relevant to hepatocellular carcinoma (HCC) development and its molecular heterogeneity. Cellular senescence appears to play a major role in liver diseases. Chronic liver diseases are associated with progressive telomere shortening leading senescence that is observed highly in cirrhosis, but also in some HCC. We previously described the generation of immortal and senescence-programmed clones from HCC-derived Huh7 cell line.

Publication Title

Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.

Sample Metadata Fields

Sex, 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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