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accession-icon GSE46994
The orphan nuclear receptor NR4A1 (Nur77, TR3) regulates oxidative and endoplasmic reticulum stress in pancreatic cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

NR4A1 (Nur77, TR3) is an orphan nuclear receptor that is overexpressed in pancreatic cancer cells and tumors and exhibits pro-oncogenic activity. Knockdown of NR4A1 by RNA interference (siNR4A1) in Panc1 cells and analysis of the proteome resulted in induction of several markers of endoplasmic reticulum (ER) stress including glucose-related protein 78 (GRP78), CCAAT/enhancer-binding protein-homologous protein (CHOP), activating transcription factor-3 (ATF-3) and AFT-6. These effects were accompanied by induction of apoptosis and similar results were observed after treatment of pancreatic cancer cells with the known inactivator of NR4A1, 1,1-bis(3-indolyl)-1-(p-hydroxyphenyl)methane (DIM-C-pPhOH). Both siNR4A1 (transfected) and DIM-C-pPhOH also induced reactive oxygen species (ROS) and induction of ROS and ER stress by these agents was attenuated after cotreatment with antioxidants. Transfection of Panc1 cells with siNR4A1 follow by analysis of gene expression by arrays identified ROS metabolism genes regulated by NR4A1. Knockdown of one of these genes, thioredoxin domain containing 5 (TXNDC5) also resulted in induction of ROS and ER stress demonstrating that NR4A1 regulates levels of ER stress and ROS in pancreatic cancer cells to facilitate cell proliferation and survival. Inactivation of this receptor by siNR4A1 or DIM-C-pPhOH decreases TXNDC5 resulting in activation of ROS/ER stress and pro-apoptotic pathways and represents a novel pathway for inducing cell death in pancreatic cancer cells.

Publication Title

The orphan nuclear receptor NR4A1 (Nur77) regulates oxidative and endoplasmic reticulum stress in pancreatic cancer cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE17100
Gene expression associated with lentiviral expression of PRAME in normal hematopoietic progenitors.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To identify gene expression that distinguishes hematopoietic cells that express PRAME from those that do not, normal CD34+ cells with forced PRAME expression were compared to cells without PRAME expression in culture over time (days 4, 7, 14) using Affymetrix HU-133A microarrays

Publication Title

The preferentially expressed antigen in melanoma (PRAME) inhibits myeloid differentiation in normal hematopoietic and leukemic progenitor cells.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE40295
Genetic and bioinformatics approaches to decipher LGL's function as a tumor suppressor
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

<i>miR-9a</i> mediates the role of Lethal giant larvae as an epithelial growth inhibitor in <i>Drosophila</i>.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE40294
mRNA microarray of Drosophila melanogaster extratced from cephalic complexes of lgl27S3/lglE2S31 (lgl-null) and FRT82B (wild-type) 3rd instar larvae
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Affymetrix microarray to detect changes in gene expression between lgl27S3/lglE2S31 and FRT82B larvae

Publication Title

<i>miR-9a</i> mediates the role of Lethal giant larvae as an epithelial growth inhibitor in <i>Drosophila</i>.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP045772
14-3-3? controls adipocyte progenitor cell cycle and differentiation via Gli3-dependent p27Kip expression
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

14-3-3 proteins facilitate cytoplasmic-nuclear shuttling of transcription factors.Adipocyte differentiation requires the function of critical transcription factors to drive the development of a mature adipocyte. The aim of the study was to investigate if 14-3-3? is required for the adipogenic transcriptional program. Overall design: Examination of the transcriptome in siCon- and si14-3-3?-transfected 3T3-L1 cells undergoing differentiation at t=0, 24, and 48 hours.

Publication Title

14-3-3ζ coordinates adipogenesis of visceral fat.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056013
Analysis of differences in the transcriptome of WAT from Wildtype and 14-3-3zeta knockout mice
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Due to inherent differences in adipcoyte size between wildtype and knockout animals, we sought to examine if the decrease in adipocyte size was due to differences in the transcriptome and more specifcially, adipogenic genes. Overall design: Examination of the transcriptome in wildtype (WT) and knockout (KO) gonadal white adipose tissue from adult mice

Publication Title

14-3-3ζ coordinates adipogenesis of visceral fat.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP092906
Comparison of gene expression patterns of two SCLC genetically-engineered mouse models; Rb1 floxed, Trp53 floxed, LSL-Myc T58A-IRES-Luc vs. Rb1 floxed, Trp53 floxed, Rbl2 (p130) floxed
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Myc expression cooperates with Rb1 and Trp53 loss in mouse lungs to generate rapid, aggressive, highly metastatic and neuroendocrine-low tumors that are similar to human variant subset of SCLC with high NEUROD1 expression. Targeted drug screening reveals that mouse and human MYC-driven SCLC are vulnerable to Aurora kinase inhibition in combination with chemotherapy in vivo. Overall design: Tumor formation is induced by infecting the conditional Rb1 fl/fl; Trp53 fl/fl, LSL-Myc (T58A) and Rb1 fl/fl; Trp53 fl/fl, p130 fl/fl GEMMs with adenoviruses with Cgrp promoter driving Cre recombinase. The tumors were macro-dissected from lungs. RNA was extracted from fresh or flash frozen tumors and subjected to single end RNA sequencing.

Publication Title

MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE115690
Expression analysis of T-ALL cell lines TALL-1, RPMI-8402, SUPT11 and P12-ICHIKAWA after treatment with NVS-ZP7-3
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of a NVS-ZP7-3 response signature in T-ALL cell lines to understand the transcriptional response in both Notch pathway active cell lines and Notch pathway inactive lines.

Publication Title

Discovery of a ZIP7 inhibitor from a Notch pathway screen.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE79287
Correlative Controls of Seeds over Maternal Growth and Senescence in Arabidopsis (expression)
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Correlative controls (influences of one organ over another organ) of seeds over maternal growth are one of the most obvious phenotypic expressions of the trade-off between growth and reproduction. However, the underlying molecular mechanisms are largely unknown. Here, we characterize the physiological and molecular effects of correlative inhibition by seeds on Arabidopsis thaliana inflorescences, i.e. global proliferative arrest (GPA) during which all maternal growth ceases upon the production of a given number of seeds. We use laser-assisted microdissection and RNA-seq or Affymetrix GeneChip hybridizations to compare sterile growing, fertile growing and fertile arrested meristems or whole inflorescences. In shoot tissues, we detected the induction of stress- and senescence-related gene expression upon fruit production and GPA, and a drop in chlorophyll levels - suggestive of altered source-sink relationships between vegetative shoot and reproductive tissues. Levels of shoot reactive oxygen species, however, strongly decreased upon GPA - a phenomenon that is associated with bud dormancy in some perennials. Indeed, gene expression changes in arrested apical inflorescences after fruit removal resembled changes observed in axillary buds following release from apical dominance. This suggests that GPA represents a form of bud dormancy, and that dominance is gradually transferred from growing inflorescences to maturing seeds - allowing offspring control over maternal resources, simultaneously restricting offspring number.

Publication Title

Seed Production Affects Maternal Growth and Senescence in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65088
Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcription intensities using stably expressed reference genes, we filtered the gene set for biomarkers of bacterial or fungal blood infections. This selection is based on differential expression and an additional gene relevance measure. In this way, we identified 38 biomarker genes, including IL6, SOCS3, and IRG1 which were already associated to sepsis by other studies. Using these genes, we trained the classifier and assessed its performance. It yielded a 96% accuracy (sensitivities >93%, specificities >97%) for a 10-fold stratified cross-validation and a 92% accuracy (sensitivities and specificities >83%) for an additional dataset comprising Cryptococcus neoformans infections. Furthermore, the noise-robustness of the classifier suggests high rates of correct class predictions on datasets of new species. In conclusion, this genome-wide approach demonstrates an effective feature selection process in combination with the construction of a well-performing classification model. Further analyses of genes with pathogen-dependent expression patterns can provide insights into the systemic host responses, which may lead to new anti-microbial therapeutic advances.

Publication Title

Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
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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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