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accession-icon GSE55594
Gene expression profiling of breast fibroadenomas
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Fibroadenomas are the most common benign breast tumors in women under 30. Unlike their malignant counterparts, relatively molecular profiling has been done on fibroadenomas. Here we performed gene expression profiling on ten fibroadenomas in order to better characterize these tumors. Through targeted amplicon sequencing, we have found that six of these tumors have MED12 mutations. We show that the MED12 mutations, among others, are associated with activated estrogen signaling, as well as increased invasiveness through upregulation of ECM remodelling genes.

Publication Title

Exome sequencing identifies highly recurrent MED12 somatic mutations in breast fibroadenoma.

Sample Metadata Fields

Age

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accession-icon GSE81986
An FFPE-based prognostic signature to predict metastasis in stage I/II microsatellite stable colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 294 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

A formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Sample Metadata Fields

Sex, Age

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accession-icon GSE81980
Expression data from early stage CRC patients' tumors [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Publication Title

A formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Sample Metadata Fields

Sex, Age

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accession-icon SRP070703
Pervasive TTP binding but selective target mRNA destabilization in the macrophage transcriptome [RNA-Seq_2]
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Precise control of mRNA decay is fundamental for robust yet not exaggerated inflammatory responses to pathogens. Parameters determining the specificity and extent of mRNA degradation within the entire inflammation-associated transcriptome remain incompletely understood. Using transcriptome-wide high resolution occupancy assessment of the mRNA-destabilizing protein TTP, a major inflammation-limiting factor, we qualitatively and quantitatively characterize TTP binding positions and functionally relate them to TTP-dependent mRNA decay in immunostimulated macrophages. We identify pervasive TTP binding with incompletely penetrant linkage to mRNA destabilization. A necessary but not sufficient feature of TTP-mediated mRNA destabilization is binding to 3’ untranslated regions (UTRs). Mapping of binding positions of the mRNA-stabilizing protein HuR in activated macrophages revealed that TTP and HuR binding sites in 3’ UTRs occur mostly in different transcripts implicating only a limited co-regulation of inflammatory mRNAs by these proteins. Remarkably, we identify robust and widespread TTP binding to introns of stable transcripts. Nuclear TTP is associated with spliced-out introns and maintained in the nucleus throughout the inflammatory response. Our study establishes a functional annotation of binding positions dictating TTP-dependent mRNA decay in immunostimulated macrophages. The findings allow navigating the transcriptome-wide landscape of RNA elements controlling inflammation. Overall design: Experiment comparing RNA decay rates in WT and TTP-/- macrophages at LPS 3 h and 6 h. Transcription was blocked with actinomycin D for 0, 45 or 90 min. Decay rates was calculated using linear model.

Publication Title

Tristetraprolin binding site atlas in the macrophage transcriptome reveals a switch for inflammation resolution.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon SRP050048
Pervasive TTP binding but selective target mRNA destabilization in the macrophage transcriptome [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Precise control of mRNA decay is fundamental for robust yet not exaggerated inflammatory responses to pathogens. Parameters determining the specificity and extent of mRNA degradation within the entire inflammation-associated transcriptome remain incompletely understood. Using transcriptome-wide high resolution occupancy assessment of the mRNA-destabilizing protein TTP, a major inflammation-limiting factor, we qualitatively and quantitatively characterize TTP binding positions and functionally relate them to TTP-dependent mRNA decay in immunostimulated macrophages. We identify pervasive TTP binding with incompletely penetrant linkage to mRNA destabilization. A necessary but not sufficient feature of TTP-mediated mRNA destabilization is binding to 3’ untranslated regions (UTRs). Mapping of binding positions of the mRNA-stabilizing protein HuR in activated macrophages revealed that TTP and HuR binding sites in 3’ UTRs occur mostly in different transcripts implicating only a limited co-regulation of inflammatory mRNAs by these proteins. Remarkably, we identify robust and widespread TTP binding to introns of stable transcripts. Nuclear TTP is associated with spliced-out introns and maintained in the nucleus throughout the inflammatory response. Our study establishes a functional annotation of binding positions dictating TTP-dependent mRNA decay in immunostimulated macrophages. The findings allow navigating the transcriptome-wide landscape of RNA elements controlling inflammation. Overall design: RNA-Seq of RNA isolated from murine bone marrow derived macrophages (WT or TTP-deficient) stimulated for 6 h with LPS

Publication Title

Tristetraprolin binding site atlas in the macrophage transcriptome reveals a switch for inflammation resolution.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP041829
Association of genes regulated by Ezh2 and trimethylation of histone 3 lysine 27
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon

Description

Differentiation of naïve CD4+ T cells into effector (Th1, Th2 and Th17) and induced regulatory (iTreg) T cells requires lineage-specifying transcription factors and epigenetic modifications that allow appropriate repression or activation of gene transcription. The epigenetic silencing of cytokine genes is associated with the repressive H3K27 trimethylation mark, mediated by Ezh2 or Ezh1 methyltransferase components of the polycomb repressive complex 2 (PRC2). EZH2 over-expression and activating mutations are implicated in tumorigenesis and correlate with poor prognosis in several tumor types 35. This spurred the development of EZH2 inhibitors which, by inducing tumor cell growth arrest and cell death, show therapeutic promise in cancer. A role for Ezh2 in suppressing Th1 and Th2 cytokine production and survival has recently been reported. It is not entirely clear whether Ezh2-PRC2 plays a role in H3K27me3 in cytokine loci in naïve CD4+ T cells and whether H3K27me3 has a non-redundant role in T helper cell lineage differentiation and survival. Here, we investigate the effects of T cell-specific Ezh2 deletion to determine the role that Ezh2-PRC2 plays in regulating the fate of differentiating naïve CD4+ T cells. Loss of Ezh2 altered the expression of 1328 genes in Th0 and 1979 genes in iTreg cells. Gene expression changes were positively correlated in both cell types, indicating that Ezh2 targets similar genes in these cells. As expected, Ifng was one of the genes most increased in expression by following loss of Ezh2. In addition, expression of Tbx21 homolog Eomes, a transcription factor that regulates IFNG production, was also significantly increased. We then performed H3K27me3 ChIP-seq on Ezh2fl/fl and Ezh2fl/fl.CD4Cre Th0 cells. Consistent with cellular phenotype and RNA-seq data, we observed a loss of the H3K27me3 at Eomes, Il4 and Il10 loci . Very low levels of H3K27me3 marks were present at Ifng and Tbx21 loci in differentiated Ezh2fl/fl Th0 cells, suggesting that upon differentiation, upregulation or activation of transcription factors accounts for IFNG overproduction. A significant loss of H3K27me3 was observed >2kb upstream of Gata3 locus , however this did not result in increased transcription . Of the 22381 genes tested for changes in H3K27me3, 1360 showed a statistically significant decrease in Ezh2fl/fl.CD4Cre Th0 cells, compared to wildtype. Furthermore, 404 of these genes also showed a concomitant gain in expression in Ezh2fl/fl.CD4Cre Th0 cells, suggesting that these loci are likely direct Ezh2-PRC2 targets. Overall design: There are 3 biological replicates each of Ezh2fl/fl.CD4Cre and Ezh2fl/fl in both Th0 and iTreg cells for the RNA-seq experiment. There are 2 biological replicates each of Ezh2fl/fl.CD4Cre and Ezh2fl/fl in Th0 cells for the ChIP-seq experiment.

Publication Title

The polycomb repressive complex 2 governs life and death of peripheral T cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP063469
Effect of Asr1 RING mutation on the transcriptome of S. cerevisisae.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This analysis identified 27 genes that are induced, and 29 that are repressed, by a factor of two or more in Asr1RING mutant cells. Genes in each category did not cluster according to gene ontology or chromosome, but we did notice that 33% of genes in the induced set lie within 50 kb of a telomere. In contrast, for repressed genes, only 7% were similarly telomere-proximal. The induction of subtelomeric gene expression in Asr1RING mutant cells suggests that the Ub-ligase activity of Asr1 may be required for authentic patterns of subtelomeric gene silencing. Overall design: Transcriptome of WT and Asr1 RING mutant cells grown at log phase in enriched media.

Publication Title

Antagonistic roles for the ubiquitin ligase Asr1 and the ubiquitin-specific protease Ubp3 in subtelomeric gene silencing.

Sample Metadata Fields

Subject

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accession-icon GSE100935
Gene expression data of human gastric tumors
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tumors of advanced gastric cancer patients were biopsied and subjected to gene expression profiling using the Affymetrix Human Genome U133 Plus 2.0 Arrays. Patients were then segregated into G1, G2 or G3 groups based on their tumor genomic profiles. Patients in the G1 and G3 cohorts were assigned SOX (oxaliplatin plus S-1) chemotherapy whereas those in the G2 cohort were given SP (cisplatin plus S-1) regimen.

Publication Title

Real-Time Tumor Gene Expression Profiling to Direct Gastric Cancer Chemotherapy: Proof-of-Concept "3G" Trial.

Sample Metadata Fields

Specimen part

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accession-icon GSE51413
ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis
  • organism-icon Homo sapiens
  • sample-icon 20 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

ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis.

Sample Metadata Fields

Disease stage

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accession-icon GSE51395
ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cell surface sialylation confers many roles in cancer biology including cell proliferation, invasiveness, metastasis and angiogenesis. We show here that ST3Gal1 sialyltransferase marks a self-renewing cellular fraction. Depletion of ST3GAL1 abrogates glioma cell growth and tumorigenicity. In contrast, TGFb induces ST3GAL1 expression and correlates with the pattern of ST3Gal1 activation in patient tumors of the mesenchymal molecular subtype. To delineate the downstream events of ST3Gal1 signaling, we utilized a bioinformatical approach that leveraged on the greater statistical power of large patient databases, and subsequently verified our predictions in patient-derived glioma cells. We identify FoxM1, a major stem cell regulatory gene, as a downstream effector, and show that ST3Gal1 mediates the glioma phenotype through control of FoxM1 protein degradation

Publication Title

ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis.

Sample Metadata Fields

Disease stage

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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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