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accession-icon GSE99841
Inhibitors of the histone methyltransferases EZH2/1 induce a potent antiviral state and suppress infection by diverse viral pathogens
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inhibitors of the Histone Methyltransferases EZH2/1 Induce a Potent Antiviral State and Suppress Infection by Diverse Viral Pathogens.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

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accession-icon SRP082139
Time course analysis of gene expression during hypoxia in S. cerevisiae using RNA-Seq
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used RNA-seq to monitor mRNA levels of all genes in response to hypoxia of wild-type yeast, S. cerevisiae (strain yMH914 with wildtype HAP1). To gain insights into how gene expression changes over time, cells were subjected to 100% nitrogen gas and collected after 0,5,10,30,60,120,180, and 240 minutes. Total RNA was extracted and mRNAs were enriched by polyA selection. The cDNA was prepared into a sequencing library, multiplexed and single-end sequenced by an Illumina HiSeq 2500 sequencer. After mapping with Tophat2, the number of reads per feature was calculated using HTSeq. Overall design: RNA-seq analysis of eight time points of a yeast strain grown in hypoxia. There are three biological replicates of the time course.

Publication Title

Time-Course Analysis of Gene Expression During the Saccharomyces cerevisiae Hypoxic Response.

Sample Metadata Fields

Subject

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accession-icon GSE99840
Inhibitors of the histone methyltransferases EZH2/1 induce a potent antiviral state and suppress infection by diverse viral pathogens [array]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Epigenetic regulation is based upon a network of complexes that modulate the chromatin character and structure of the genome to impact gene expression, cell fate, and development. Thus, epigenetic modulators represent novel therapeutic targets to treat a range of diseases including malignancies. Infectious pathogens such as herpesviruses are also regulated by cellular epigenetic machinery, and epigenetic therapeutics represent a novel approach to control infection, persistence, and the resulting recurrent disease. The histone methyltransferases EZH2 and EZH1 (EZH2/1) are epigenetic repressors that suppress gene transcription via propagation of repressive H3K27me3 enriched chromatin domains. However, while EZH2/1 are implicated in repression of herpesviral gene expression, inhibitors of these enzymes suppressed HSV primary infection in vitro and in vivo. Furthermore, these compounds blocked lytic viral replication following induction of HSV reactivation in latently infected sensory ganglia. Suppression correlated with the induction of multiple inflammatory, stress, and anti-pathogen pathways as well as enhanced recruitment of immune cells to in vivo infection sites. Importantly, EZH2/1 inhibitors induced a cellular antiviral state that also suppressed infection with DNA (hCMV, Adenovirus) and RNA (Zika virus) viruses. Thus, EZH2/1 inhibitors have considerable potential as general antivirals through activation of cellular antiviral and immune responses.

Publication Title

Inhibitors of the Histone Methyltransferases EZH2/1 Induce a Potent Antiviral State and Suppress Infection by Diverse Viral Pathogens.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon SRP201011
TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

CD33-/- and/or TREM2-/- mice were crossed with the 5xFAD mouse model of Alzheimer's disease to generate single and double CD33/TREM2 knock-out mice on 5xFAD background. Transcriptome and gene expression analyses were performed to analyze the impact of CD33 and/or TREM2 knock-out on the transcriptome of microglia in the context of amyloid pathology. The results revealed that CD33 and/or TREM2 knock-out reprogrammed microglial gene expression signatures in 5xFAD mice in an age-dependent manner. Differential gene expression in 5xFAD;CD33-/- microglia depended on the presence of TREM2. These data suggest that TREM2 acts downstream of CD33. Overall design: Microglia were isolated from brains of WT, 5xFAD, 5xFAD;CD33-/-, 5xFAD;TREM2-/-, and 5xFAD;CD33-/-;TREM2-/- mice at 4 and 8 months of age, using FACS sorting for CD11b and CD45. RNA was extracted using the RNeasy Plus Micro Kit (Qiagen). Libraries were prepared using the TruSeq Stranded mRNA LT Prep Kit (Illumina) and sequenced on an Illumina HiSeq 2500 sequencer using single-end 50. Reads were aligned to mouse genome mm10 using the STAR aligner. Read counts for individual genes were obtained using HTSeq.

Publication Title

TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease.

Sample Metadata Fields

Age, Cell line, Subject

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accession-icon GSE19436
Transcriptional alterations in cycling neural stem cells underlying alcohol use disorders
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ethanol inhibits the proliferation of neural stem cells in the fetal, adolescent, and adult brain. The consequences are cognitive deficits associated with fetal alcohol spectrum disorder and alcohol use disorder. We tested the hypothesis that ethanol affects progression through cell cycle checkpoints by differentially modifying transcriptional processes. Monolayer cultures of NS-5 neural stem cells were treated for 48 hr with the mitogenic agent FGF2 or the anti-mitogenic TGF1 in the absence or presence of ethanol. Cell cycle elongation was induced by a global down-regulation of genes involved in cell cycle progression, including the cyclin E system. Checkpoint regulation occurred downstream of p21 and Jun-oncogene signaling cascades. Thus, ethanol can affect cell cycle progression by altering transcript expression of strategic genes downstream of the G1/S checkpoint.

Publication Title

Ethanol-induced methylation of cell cycle genes in neural stem cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP080852
T cell oxygen-sensing proteins establish an immunologically tolerant metastatic niche
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

Cancer cells must evade immune responses at distant sites to establish metastases. The lung is a frequent site for metastasis. We hypothesized that lung-specific immunoregulatory mechanisms create an immunologically permissive environment for tumor colonization. We found that T cell-intrinsic expression of the oxygen-sensing prolyl-hydroxylase (PHD) proteins is required to maintain local tolerance against innocuous antigens in the lung, but powerfully licenses colonization by circulating tumor cells. PHD proteins limit pulmonary type helper (Th)-1 responses, promote CD4+-regulatory T (Treg) cell induction, and restrain CD8+ T cell effector function. Tumor colonization is accompanied by PHD protein-dependent induction of pulmonary Treg cells and suppression of IFN-g-dependent tumor clearance. T cell-intrinsic deletion or pharmacological inhibition of PHD proteins limits tumor colonization of the lung and improves the efficacy of adoptive cell transfer immunotherapy. Collectively, PHD proteins function in T cells to coordinate distinct immunoregulatory programs within the lung that are permissive to cancer metastasis. Overall design: RNA expression was measured by RNA-Seq at day 4 following stimulation of naïve FACS-sorted CD4+ T cells with anti-CD3 and anti-CD28 antibodies in the presence of indicated doses of TGF-b. Gene expression was analysed separately in control Cd4Cre (WT) and Egln1fl/fl Egln2fl/fl Egln3fl/fl Cd4Cre (tKO) cells, or in cells treated with the pharmacological PHD inhibitor dimethyloxaloylglycine (DMOG) and control vehicle-treated cells.

Publication Title

Oxygen Sensing by T Cells Establishes an Immunologically Tolerant Metastatic Niche.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE13787
Frequent PTEN genomic alterations and activated PI3K pathway in basal-like breast cancer
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction

Publication Title

Frequent PTEN genomic alterations and activated phosphatidylinositol 3-kinase pathway in basal-like breast cancer cells.

Sample Metadata Fields

Sex, Disease stage

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accession-icon GSE139870
Comparison of MPA regulated gene expression profiles to those regulated by PROG, DHT, DEX
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Medroxyprogesterone acetate (MPA) is a progestin that can bind to and activate progesterone, androgen and glucocorticoid receptors. However, it is not known which receptor mediates MPA action in a cellular context where all three of these receptors are co-expressed and functional.

Publication Title

Anti-proliferative transcriptional effects of medroxyprogesterone acetate in estrogen receptor positive breast cancer cells are predominantly mediated by the progesterone receptor.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE36141
Gene expression data at 24hrs post-siRNA transfection for HCT116 cultures transfected with either DDX5si2008, DDX5si2053, or EBNA1si1666 siRNA's or mock transfected.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

HCT116 cells were transfected with two different siRNA's targeting either DDX5, an siRNA targeting EBNA1, or no siRNA (mock). The siRNA targeting EBNA1 is used as a negative control since HCT116 cells do not have the EBNA1 gene. RNA was obtained from cultures at 24hrs post-siRNA transfection using the Qiagen RNeasy Minikit (cat. # 74104) with on-column DNase digestion performed as per the manufacturer's protocol. The RNA samples were isolated at 24hrs post-siRNA transfection since this timepoint precedes an impaired G1-to-S phase cell cycle progression phenotype that is evident at 48hrs post-siRNA transfection and so may reveal gene expression changes occuring before this effect on cell cycle. RNA samples were submitted to the Cold Spring Harbor Laboratory Microarray Faciity where cDNA was prepared, labeled, and hybridized to Affymetrix GeneChip Human Gene 1.0 ST microarrays. Data from the arrays were processed using the RMA method with an up-to-data probe set definition (Biostatistics 4:249-264 and Nucleic Acids Research 33(20):e175. Gene set analysis was performed using generally applicable gene set enrichment (BMC Bioinformatics 10:161). The most differentially regulated gene ontology groups were selected with FDR q-value < 0.1.

Publication Title

DDX5 regulates DNA replication and is required for cell proliferation in a subset of breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE58911
Gene expression in normal and tumor samples from patients with HNSCC
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Tissue samples were collected from patients diagnosed with HNSCC (oropharynx, hypopharynx, larynx). Samples were taken from the tumor site (tumor samples) and from a site distant to the tumor (normal samples) prior to therapy.

Publication Title

Prognostic biomarkers for HNSCC using quantitative real-time PCR and microarray analysis: β-tubulin isotypes and the p53 interactome.

Sample Metadata Fields

Age, Specimen part, Subject

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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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