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accession-icon SRP164953
Selective Disruption of Core Regulatory Transcription [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Activation of identity determining transcription factors (TFs), or core regulatory TFs, is governed by cell-type specific enhancers, an important subset of these being super enhancers (SEs). This mechanism is distinct from constitutive expression of housekeeping genes. The characterization of drug-like small molecules to selectively inhibit core regulatory circuitry is of high interest for treatment of cancers, which are addicted to core regulatory TF function at SEs. Surprisingly, we find histone deacetylases (HDAC) to be an indispensable component of SE-driven transcription. While histone acetylation is a marker for active genes, over accumulation of acetylation selectively halts core regulatory transcription. We show this conundrum may in part be explained by a SE-specific need for resetting histones to maintain SE boundaries, to facilitate enhancer-promoter looping and high levels of transcription. Overall design: RNA-seq data for FP-RMS cells treated with various concentrations of various small molecules modulators of epigenetic processes.

Publication Title

Chemical genomics reveals histone deacetylases are required for core regulatory transcription.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP075406
Epigenetic siRNA and chemical screens identify SETD8 inhibition as a new therapeutic strategy of p53 reactivation in high-risk Neuroblastoma.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The intergration of genetic and chemical screens identified SETD8 as a new druggable target in neuroblastoma tumor. The goal of this study is to evaluate the transcriptome profiling (RNA-seq) of Neuroblastoma cell lines after genetic and pharmacological inhibition of SETD8. Methods: mRNA profiles of NB cells after genetic and pharmacological inhibition of SETD8 were generated by deep sequencing in duplicate with Ilumina HiSeq2500 using Illumina TruSeq V4. The sequence reads were analyzed with software Trimmomatic, STAR and edgeR to determine the differetially expressed genes. qRT–PCR validation was performed using SYBR Green assays. Results: About 60 million sequence reads per sample were mapped to the human genome (hg19). Approximately 10% of the transcripts showed differential expression between the control and the treated samples, with a fold change =1.5 and p value <0.05. Altered expression of 12 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to SETD8 function. Conclusions: Our study identifies SETD8 as a new therapeutic target in Neuroblastoma tumor. RNA-seq transcriptome analyses and functional studies revealed that SETD8 ablation rescued the proapoptotic and cell-cycle arrest functions of p53 through reactivation of the p53 canonical pathway by decreasing p53k382me1. Overall design: mRNA profiles of Neuroblastoma cells after genetic and pharmacological inhibition of SETD8 were generated by deep sequencing in duplicate with Ilumina HiSeq2500 using Illumina TruSeq V4.

Publication Title

Epigenetic siRNA and Chemical Screens Identify SETD8 Inhibition as a Therapeutic Strategy for p53 Activation in High-Risk Neuroblastoma.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE85171
Epigenetic Reprogramming of mutant RAS-driven Rhabdomyosarcoma via MEK Inhibition
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MEK inhibition induces MYOG and remodels super-enhancers in RAS-driven rhabdomyosarcoma.

Sample Metadata Fields

Treatment, Time

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accession-icon GSE85168
Oncogenic RAS blocks myogenic differentiation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

C2C12 mouse myoblasts expressing RAS mutants identified in human tumors fail to differentiate in low serum media.

Publication Title

MEK inhibition induces MYOG and remodels super-enhancers in RAS-driven rhabdomyosarcoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21550
Effect of Protease-resistant PML-RAR on the leukemogenic potential in a mouse model of Acute Promyelocytic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Previous studies in our laboratory demonstrated that the azurophil granule protease neutrophil elastase (NE) cleaves PML-RARA (PR), the fusion protein that initiates acute promyelocytic leukemia (APL). Further, NE deficiency reduces the penetrance of APL in a murine model of this disease. We therefore predicted that NE-mediated PR cleavage might be important for its ability to initiate APL. To test this hypothesis, we generated a mouse expressing NE-resistant PR. These mice developed APL indistinguishable from wild type PR, but with significantly reduced latency (median leukemia-free survival of 274 days versus 473 days for wild type PR, p<0.001). Resistance to proteolysis may increase the abundance of full length PR protein in early myeloid cells, and our previous data suggested that non-cleaved PR may be less toxic to early myeloid cells. Together, these effects appear to increase the leukemogenicity of NE-resistant PR, contrary to our previous prediction. We conclude that NE deficiency may reduce APL penetrance via indirect mechanisms that are still NE dependent.

Publication Title

A protease-resistant PML-RAR{alpha} has increased leukemogenic potential in a murine model of acute promyelocytic leukemia.

Sample Metadata Fields

Cell line

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accession-icon SRP167106
Dynamic transcriptome profiles within spermatogonial and spermatocyte populations during postnatal testis maturation revealed by single-cell sequencing
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This analysis represents the first comprehensive sampling of germ cells in the developing testis over time, at high-resolution, single-cell depth. From these analyses, we have not only revealed novel genetic regulatory signatures of murine germ cells over time, but have also demonstrated that cell types positive for a single marker gene have the capacity to change dramatically during testis maturation, and therefore cells of a particular “identity” may differ significantly from postnatal to adult life. Overall design: Single-cell suspensions of mammalian testes ranging from PND6 to adult were processed for single-cell RNAseq (10x Genomics Chromium) and libraries were sequenced on a NextSeq500 (Illumina).

Publication Title

Dynamic transcriptome profiles within spermatogonial and spermatocyte populations during postnatal testis maturation revealed by single-cell sequencing.

Sample Metadata Fields

Age, Disease, Cell line, Subject

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accession-icon GSE50161
Expression data from human brain tumors and human normal brain
  • organism-icon Homo sapiens
  • sample-icon 127 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The characteristics of immune cells infiltrating pediatric brain tumors is largely unexplored. A better understanding of these characteristics will provide a foundation for development of immunotherapy for pediatric brain tumors.

Publication Title

Characterization of distinct immunophenotypes across pediatric brain tumor types.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE12662
Normal human bone marrow CD34+ cells, promyelocytes, and neutrophils and PR9 cell line PML-RARA induction time course
  • organism-icon Homo sapiens
  • sample-icon 104 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To better understand the pathogenesis of acute promyelocytic leukemia (APL, FAB M3 AML), we identified genes that are expressed differently in APL cells compared to other acute myeloid leukemia subtypes, and to normal promyelocytes. Comparative gene expression analysis of 14 M3, 62 other AML (M0, M1, M2 and M4) and 5 enriched normal promyelocyte samples revealed a signature of 1,121 genes that are specifically dysregulated in M3 samples relative to other AML, and that do not simply represent normal promyelocyte expression (M3-specific signature). We used a novel, high throughput digital platform (Nanostring's nCounter system) to evaluate a subset of the most significantly dysregulated genes in 30 AML samples; 33 of 37 evaluable gene expression patterns were validated. In an additional analysis, we selected only genes that are dysregulated in M3 both compared to other AML subtypes, and to purified normal CD34+ cells, promyelocytes, and/or neutrophils, thereby isolating a 478 gene "composite M3 dysregulome". Surprisingly, the expression of only a few of these genes was significantly altered in PR-9 cells after PML-RARA induction, suggesting that most of these genes are not direct targets of PML-RARA. Comparison of the M3-specific signature to our previously described murine APL dysregulome revealed 33 commonly dysregulated genes, including JUN, EGR1, and TNF. Collectively, these results suggest that PML-RARA initiates a transcriptional cascade which generates a unique downstream expression signature in both primary human and mouse APL cells.

Publication Title

High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples.

Sample Metadata Fields

Sex, Race

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accession-icon GSE24560
Comparative Expression Profiling of E. coli and S. aureus inoculated primary Mammary Gland Cells sampled from Cows with different genetic Predisposition for Somatic Cell Score
  • organism-icon Bos taurus
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Establishment of an in vitro system to explore molecular mechanisms of mastitis susceptibility in cattle by comparative expression profiling of Escherichia coli and Staphylococcus aureus inoculated primary cells sampled from cows with different genetic predisposition for somatic cell score

Publication Title

Comparative expression profiling of E. coli and S. aureus inoculated primary mammary gland cells sampled from cows with different genetic predispositions for somatic cell score.

Sample Metadata Fields

Disease, Treatment, Time

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accession-icon GSE7201
p73 inhibits malignant transformation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

sh RNA of p73 in Fibroblasts compared to non-silencing control

Publication Title

p73 poses a barrier to malignant transformation by limiting anchorage-independent growth.

Sample Metadata Fields

No sample metadata fields

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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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