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accession-icon GSE17638
The Ess1 prolyl isomerase is required for the transcription termination of small non-coding RNAs via Nrd1 pathway
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Genome-wide studies have identified abundant small, non-coding RNAs including snRNAs, snoRNAs, cryptic unstable transcripts (CUTs), and upstream regulatory RNAs (uRNAs) that are transcribed by RNA polymerase II (pol II) and terminated by a Nrd1-dependent pathway. Here, we show that the prolyl isomerase, Ess1, is required for Nrd1-dependent termination of ncRNAs. Ess1 binds the carboxy terminal domain (CTD) of pol II and is thought to regulate transcription by conformational isomerization of Ser-Pro bonds within the CTD. In ess1 mutants, expression of ~10% of the genome was altered, due primarily to defects in termination of snoRNAs, CUTs, SUTs and uRNAs. Ess1 promoted dephosphorylation of Ser5 (but not Ser2) within the CTD, most likely by the Ssu72 phosphatase, and we provide evidence for a competition between Nrd1 and Pcf11 for CTD-binding that is regulated by Ess1-dependent isomerization. This is the first example of a prolyl isomerase required for interpreting the CTD code.

Publication Title

The Ess1 prolyl isomerase is required for transcription termination of small noncoding RNAs via the Nrd1 pathway.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE31747
ZEBOV-induced changes in macrophage gene expression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Zaire ebolavirus (ZEBOV) infections are associated with high lethality in primates. ZEBOV primarily targets mononuclear phagocytes, which are activated upon infection and secrete mediators believed to trigger initial stages of pathogenesis. The characterization of the responses of target cells to ZEBOV infection may therefore not only further understanding of pathogenesis but also suggest possible points of therapeutic intervention. Gene expression profiles of primary human macrophages exposed to ZEBOV were determined using DNA microarrays and quantitative PCR to gain insight into the cellular response immediately after cell entry. Significant changes in mRNA concentrations encoding for 88 cellular proteins were observed. Most of these proteins have not yet been implicated in ZEBOV infection. Some, however, are inflammatory mediators known to be elevated during the acute phase of disease in the blood of ZEBOV-infected humans. Interestingly, the cellular response occurred within the first hour of Ebola virion exposure, i.e. prior to virus gene expression. This observation supports the hypothesis that virion binding or entry mediated by the spike glycoprotein (GP1,2) is the primary stimulus for an initial response. Indeed, ZEBOV virions, LPS, and virus-like particles consisting of only the ZEBOV matrix protein VP40 and GP1,2 (VLPVP40-GP) triggered comparable responses in macrophages, including pro-inflammatory and pro-apoptotic signals. In contrast, VLPVP40 (particles lacking GP1,2) caused an aberrant response. Notably, some cellular interferon-inducible genes were upregulated six hours after exposure to virions and LPS, but not after exposure to VLPVP40-GP. This suggests that GP1,2 binding to macrophages plays an important role in the immediate cellular response.

Publication Title

Ebola virion attachment and entry into human macrophages profoundly effects early cellular gene expression.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE38506
Expression data from primary human mammary fibroblasts purified from disease-free women of low and high mammographic density
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although high mammographic density (MD) is considered one of the strongest risk factors for invasive breast cancer, the genes involved in modulating this clinical feature are unknown.

Publication Title

CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues.

Sample Metadata Fields

Specimen part

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accession-icon SRP137884
PAK4 suppresses RELB to prevent senescence-like growth arrest in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Overcoming cellular growth restriction, including the evasion of cellular senescence, is a hallmark of cancer. We report that PAK4 is overexpressed in all human breast cancer subtypes and associated with poor patient outcome. In mice, MMTV-PAK4 overexpression promotes spontaneous mammary cancer, while PAK4 gene depletion delays MMTV-PyMT driven tumors. Importantly, PAK4 prevents senescence-like growth arrest in breast cancer cells in vitro, in vivo and ex vivo, but is not needed in non-immortalized cells, while PAK4 overexpression in untransformed human mammary epithelial cells abrogates H-Ras-V12-induced senescence. Mechanistically, a PAK4 – RELB - C/EBPa axis controls the senescence-like growth arrest and a PAK4 phosphorylation residue (RELB-Se151) is critical for RELB-DNA interaction, transcriptional activity and expression of the senescence regulator C/EBPa. These findings establish PAK4 as a promoter of breast cancer that can overcome oncogene-induced senescence and reveal a selective vulnerability of cancer to PAK4 inhibition. Overall design: We quantify transcription via high-throughput RNA sequencing in two human breast cancer cell lines (BT-549 and Hs578T) 72hrs after transient transfection with control (siControl) or PAK4-targetting siRNA.

Publication Title

PAK4 suppresses RELB to prevent senescence-like growth arrest in breast cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE17189
Molecular Classification of AIDS-Related Lymphomas
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling (GEP) of ARL patient samples was done to determine whether gene expression signatures derived from HIV- lymphomas retained their ability to molecularly classify HIV+ lymphomas. The GEP-based predictors robustly classified ARL tumors, distinguishing molecular Burkitt lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL), as well as activated B-cell-like (ABC) and germinal center B-cell-like (GCB) molecular subtypes of DLBCL.

Publication Title

Recurrent chromosomal alterations in molecularly classified AIDS-related lymphomas: an integrated analysis of DNA copy number and gene expression.

Sample Metadata Fields

Sex, Age

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accession-icon GSE17372
Molecular Classification of AIDS-Related Lymphomas [including third-party data]
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling (GEP) of ARL patient samples was done to determine whether gene expression signatures derived from HIV- lymphomas retained their ability to molecularly classify HIV+ lymphomas. The GEP-based predictors robustly classified ARL tumors, distinguishing molecular Burkitt lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL), as well as activated B-cell-like (ABC) and germinal center B-cell-like (GCB) molecular subtypes of DLBCL.

Publication Title

Recurrent chromosomal alterations in molecularly classified AIDS-related lymphomas: an integrated analysis of DNA copy number and gene expression.

Sample Metadata Fields

Sex, Age

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accession-icon SRP151817
Genome-wide identification of putative translation regulator cis-Natural Antisense Transcripts in Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 69 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The development of high-throughput genomic technologies has revealed that a large fraction of the genomes of eukaryotes is associated with the expression of noncoding RNAs. One class of noncoding RNA, the cis-natural antisense transcripts (cis-NATs), are particularly interesting as they are at least partially complementary to the protein-coding mRNAs. Although most studies described cis-NATs involved in the regulation of transcription, a few reports have shown recently that cis-NATs can also regulate translation of the cognate sense coding genes in plants and mammals. In order to identify novel examples of translation regulator cis-NATs in Arabidopsis thaliana, we designed a high-throughput experiment based on polysome profiling and RNA-sequencing. Expression of cis-NATs and translation efficiency of the cognate coding mRNAs were measured in roots and shoots in response to various conditions, including phosphate deficiency and treatment with phytohormones. We identified several promising candidates, and validated a few of them experimentally, in Arabidopsis thaliana transgenic lines over-expressing in trans the translation regulator candidate cis-NATs. Overall design: total RNA and polysomal RNA was sequenced from Arabidopsis thaliana whole seedlings grown in high or low pohsphate content, or from roots or shoots from seedlings treated or not with different phytohormones (Ctrl, IAA, ABA,MeJA and ACC). 3 biological replicates were analyzed for each of the 12 experimental conditions.

Publication Title

Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE10580
Genes regulated by PRDM5 in U2OS cells.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PRDM5 is a recently identified member of the PRDM family of proteins, which functions as a transcriptional repressor by recruiting histone methyltransferase G9A to DNA, and behaves as a putative tumor suppressor in different types of cancer.

Publication Title

The tumor suppressor PRDM5 regulates Wnt signaling at early stages of zebrafish development.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39291
Expression Profiles of HepG2 cells treated with following oxidants: 100M menadione, 200M TBH or 50M H2O2
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

The transcriptomic changes induced in the human liver cell line HepG2 by 100M menadione, 200M TBH or 50M H2O2 after treatment for 0.5, 1, 2, 4, 6, 8 and 24h.

Publication Title

Time series analysis of oxidative stress response patterns in HepG2: a toxicogenomics approach.

Sample Metadata Fields

Cell line

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accession-icon SRP035209
Chromatin occupancy and target genes of TCF7L2 in hepatocytes
  • organism-icon Rattus norvegicus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon

Description

TCF7L2 regulates multiple metabolic pathways in hepatocytes through a transcriptional network involving HNF4a Overall design: For the identification of Tcf7l2 target genes using a RNA-seq timecourse, and for identifying the binding sites of Tcf7l2 and Hnf4a, Tcf7l2 was silenced in rat H4IIE hepatocytes using siRNA for Tcf7l2 with a scrambled siRNA as control. Treatment times for RNA-seq samples were 3, 6, 9, 12, 15, 18, 48, and 96 hours, and for ChIP-seq samples 15 h. RNA-seq timecourse was performed in duplicate or triplicate, and the ChIP-seq in duplicate for Tcf7l2 and in singlicate for Hnf4a. The H4IIE-specific transcriptome was defined from an independent set of pooled 24 h siRNA treated samples (N=3 for siRNA for Tcf7l2 and N=3 for scrambled siRNA).

Publication Title

The mechanisms of genome-wide target gene regulation by TCF7L2 in liver cells.

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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