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accession-icon SRP076716
Three different in vivo models of synovial sarcoma (xenograft: Fuji; PDX: CTG-0331 and CTG-0771) treated with or without the indicated dose of the EZH2 inhibitor, tazemetostat
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The catalytic activities of covalent and ATP-dependent chromatin remodeling are central to regulating the conformational state of chromatin and the resultant transcriptional output. The enzymes that catalyze these activities are often contained within multiprotein complexes in nature. Two such multiprotein complexes, the polycomb repressive complex 2 (PRC2) methyltransferase and the SWItch/Sucrose Non-Fermentable (SWI/SNF) chromatin remodeler have been reported to act in opposition to each other during development and homeostasis. An imbalance in their activities induced by mutations/deletions in complex members (e.g. SMARCB1) has been suggested to be a pathogenic mechanism in certain human cancers. Here we show that preclinical models of synovial sarcoma - a cancer characterized by functional SMARCB1 loss via its displacement from the SWI/SNF complex through the pathognomonic SS18-SSX fusion protein - display sensitivity to pharmacologic inhibition of EZH2, the catalytic subunit of PRC2. Treatment with tazemetostat, a clinical-stage, selective and orally bioavailable small-molecule inhibitor of EZH2 enzymatic activity reverses a subset of synovial sarcoma gene expression and results in concentration-dependent cell growth inhibition and cell death specifically in SS18-SSX fusion-positive cells in vitro. Treatment of mice bearing either a cell line or two patient-derived xenograft models of synovial sarcoma leads to dose-dependent tumor growth inhibition with correlative inhibition of trimethylation levels of the EZH2-specific substrate, lysine 27 on histone H3. These data demonstrate a dependency of SS18-SSX-positive, SMARCB1-deficient synovial sarcomas on EZH2 enzymatic activity and suggests the potential utility of EZH2-targeted drugs in these genetically defined cancers. Overall design: Three different in vivo models of synovial sarcoma (xenograft: Fuji; PDX: CTG-0331 and CTG-0771) treated with or without the indicated dose of the EZH2 inhibitor, tazemetostat

Publication Title

Preclinical Evidence of Anti-Tumor Activity Induced by EZH2 Inhibition in Human Models of Synovial Sarcoma.

Sample Metadata Fields

Subject

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accession-icon GSE49284
Expression data from EZH2 inhibitor treated Non-Hodgkins Lymphoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mutations within the catalytic domain of the histone methyltransferase (HMT) EZH2 have been identified in subsets of Non-Hodgkin Lymphoma (NHL) patients. These genetic alterations are hypothesized to confer an oncogenic dependency on EZH2 enzymatic activity in these cancers. We previously reported the discovery of a potent, selective, S-adenosyl-methionine-competitive and orally bioavailable small molecule inhibitor of EZH2, EPZ-6438. EPZ-6438 selectively inhibits intracellular lysine 27 of histone H3 (H3K27) methylation in a concentration- and time-dependent manner in both EZH2 wild type and mutant lymphoma cells. Inhibition of H3K27 trimethylation (H3K27Me3) led to selective cell killing of human lymphoma cell lines bearing EZH2 catalytic domain point mutations. Treatment of xenograft-bearing mice with EPZ-6438 leads to dose-dependent tumor growth inhibition and eradication of genetically altered NHL with correlative diminution of H3K27Me3 levels in tumors and selected normal tissues. Mice dosed orally with EPZ-6438 for 28 days remained tumor free for up to 63 day after stopping compound treatment in two EZH2 mutant xenograft models. These data confirm the dependency of mutant NHL on EZH2 activity and portend the utility of EZH2-targeted drugs for the treatment of these genetically defined cancers.

Publication Title

Selective inhibition of EZH2 by EPZ-6438 leads to potent antitumor activity in EZH2-mutant non-Hodgkin lymphoma.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE61562
Murine Norovirus Effect on Cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Changes in gene expression on MNV infection of RAW264.7 cells

Publication Title

Murine norovirus replication induces G0/G1 cell cycle arrest in asynchronously growing cells.

Sample Metadata Fields

Cell line

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accession-icon GSE25306
Gene expression profiling of skeletal muscles treated with a soluble activin type IIB receptor
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Inhibition of the myostatin signaling pathway is emerging as a promising therapeutic means to treat muscle wasting disorders. Activin type IIB receptor is the putative myostatin receptor, and a soluble activin receptor (ActRIIB-Fc) has been demonstrated to potently inhibit a subset of TGF- family members including myostatin. In order to determine reliable and valid biomarkers for myostatin pathway inhibition, we assessed gene expression profiles for quadriceps muscles from mice treated with ActRIIB-Fc compared to mice genetically lacking myostatin and control mice.

Publication Title

Gene expression profiling of skeletal muscles treated with a soluble activin type IIB receptor.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE102259
Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE102256
Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies directSREBP target genes [MG_U74Av2]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The synthesis of fatty acids and cholesterol is regulated by three membrane-bound transcription factors: sterol regulatory element-binding proteins (SREBP)-1a, -1c, and -2. Their function in liver has been characterized in transgenic mice that overexpress each SREBP isoform and in mice that lack all three nuclear SREBPs because of gene knockout of SREBP cleavage-activating protein (SCAP) required for nuclear localization of SREBPs. Here, we use oligonucleotide arrays hybridized with RNA from livers of three lines of mice (transgenic for SREBP-1a, transgenic for SREBP-2, and knockout for SCAP) to identify genes that are likely to be direct targets of SREBPs in liver. Application of stringent combinatorial criteria to the transgenic/knockout approach allows identification of genes whose activities are likely controlled directly by the SREBPs.

Publication Title

Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE102257
Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies directSREBPtarget genes [MG_U74Bv2]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The synthesis of fatty acids and cholesterol is regulated by three membrane-bound transcription factors: sterol regulatory element-binding proteins (SREBP)-1a, -1c, and -2. Their function in liver has been characterized in transgenic mice that overexpress each SREBP isoform and in mice that lack all three nuclear SREBPs because of gene knockout of SREBP cleavage-activating protein (SCAP) required for nuclear localization of SREBPs. Here, we use oligonucleotide arrays hybridized with RNA from livers of three lines of mice (transgenic for SREBP-1a, transgenic for SREBP-2, and knockout for SCAP) to identify genes that are likely to be direct targets of SREBPs in liver. Application of stringent combinatorial criteria to the transgenic/knockout approach allows identification of genes whose activities are likely controlled directly by the SREBPs.

Publication Title

Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE102258
Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies directSREBPtarget genes [MG_U74Cv2]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The synthesis of fatty acids and cholesterol is regulated by three membrane-bound transcription factors: sterol regulatory element-binding proteins (SREBP)-1a, -1c, and -2. Their function in liver has been characterized in transgenic mice that overexpress each SREBP isoform and in mice that lack all three nuclear SREBPs because of gene knockout of SREBP cleavage-activating protein (SCAP) required for nuclear localization of SREBPs. Here, we use oligonucleotide arrays hybridized with RNA from livers of three lines of mice (transgenic for SREBP-1a, transgenic for SREBP-2, and knockout for SCAP) to identify genes that are likely to be direct targets of SREBPs in liver. Application of stringent combinatorial criteria to the transgenic/knockout approach allows identification of genes whose activities are likely controlled directly by the SREBPs.

Publication Title

Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE51581
Gene expression profile of E. coli MG1655 cells grown at different growth rates in mixed substrates culture
  • organism-icon Escherichia coli
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

E. coli MG155 cells were grown at different grwoth rates in mixed substrate culture. To facilitate different metaoblic status, cells adjust substrate consumption behavior which must be reflected in the gene expression profiles of metablism network. The metabolism network including the substrate transporter systems is our study focus.

Publication Title

Carbon catabolite repression correlates with the maintenance of near invariant molecular crowding in proliferating E. coli cells.

Sample Metadata Fields

Treatment

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accession-icon GSE99340
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
  • organism-icon Homo sapiens
  • sample-icon 402 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.

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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