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accession-icon SRP043678
Long-term survival of influenza virus infected club cells drives immunopathology
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of mRNA expression of influenza infected and uninfected pulmonary epithelial cells in vivo Overall design: Analysis of mRNA expression of influenza infected and uninfected pulmonary epithelial cells in vivo

Publication Title

Long-term survival of influenza virus infected club cells drives immunopathology.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP137804
Influenza virus replication intensity and round of infection dictates the cellular response in vivo
  • organism-icon Mus musculus
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Influenza A virus has a broad cellular tropism in the respiratory tract. Infected epithelial cells sense the infection and initiate an antiviral response. To define the antiviral response at the earliest stages of infection we used two different single cycle replication reporter viruses. These tools demonstrated heterogeneity in virus replication levels in vivo. Transcriptional profiling demonstrated tiers of interferon stimulated gene responses that were dependent on the magnitude of virus replication. Uninfected cells and cells with blunted replication expressed a distinct and potentially protective ISG signature. Finally, we used these single cycle reporter viruses to determine the antiviral landscape during virus spread, which unveiled disparate protection mediated by IFN. Together these results highlight the complexity of virus-host interactions within the infected lung and suggest that magnitude and round of replication tune the antiviral response. Overall design: Mice were infected with 10^5 pfu of the indicated virus. Lungs from infefected C57BL/6 were taken at 24 hours post infection. Single cell suspensions were sorted for live CD45-CD31- and the indicated virus-driven fluorophore. Cells were FACS sorted directly into cell lysis buffer for RNA extraction. cDNA libraries were prepared using the SMARTer Universal Low Input RNA Kit (Takara Bio). SAmples were then profiled by illumina sequencing

Publication Title

Distinct antiviral signatures revealed by the magnitude and round of influenza virus replication in vivo.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE23040
Loss of Hepatocyte-Nuclear-Factor-1 Impacts on Adult Mouse Intestinal Epithelial Cell Growth and Cell Lineages Differentiation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Although hepatocyte-nuclear-factor-1 (Hnf1) is crucial for pancreas and liver functions, it is believed to play a limited functional role for intestinal epithelial functions. The aim of this study was to assess the consequences of abrogating Hnf1 on the maintenance of adult small intestinal epithelial functions.

Publication Title

Loss of hepatocyte-nuclear-factor-1alpha impacts on adult mouse intestinal epithelial cell growth and cell lineages differentiation.

Sample Metadata Fields

Age, Specimen part, Disease

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accession-icon GSE39686
FMR1 targets distinct mRNA sequence elements to regulate protein expression
  • organism-icon Homo sapiens
  • sample-icon 4 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

FMRP targets distinct mRNA sequence elements to regulate protein expression.

Sample Metadata Fields

Cell line

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accession-icon GSE39504
FMR1 targets distinct mRNA sequence elements to regulate protein expression [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Fragile-X Syndrome (FXS) is a multi-organ disease leading to mental retardation, macro-orchidism in males, and premature ovarian insufficiency in female carriers. FXS is also a prominent monogenic disease associated with autism spectrum disorders (ASD). FXS is typically caused by the loss of FRAGILE X-MENTAL RETARDATION 1 (FMR1) expression, which encodes for the RNA-binding protein (RBP), FMR1 (or FMRP). We report the discovery of the RNA recognition elements (RREs), binding sites, and mRNA targets for wild-type and I304N mutant FMRP isoforms as well as its paralogs, FXR1 and FXR2. RRE frequency, ratio, and distribution determine target mRNA association with FMRP. Among highly-enriched targets, we identified many genes involved in ASD and demonstrate that FMRP can affect their protein levels in cell culture, mice, and human brain. Unexpectedly, we discovered that these targets are also dysregulated in Fmr1-/- mouse ovaries, showing signs of premature follicular overdevelopment. These results indicate that FMRP targets shared signaling pathways across different cellular contexts. As it is become increasingly appreciated that signaling pathways are important to FXS and ASD, our results here provide an invaluable molecular guide towards the pursuit of novel therapeutic targets for these devastating neurological disorders.

Publication Title

FMRP targets distinct mRNA sequence elements to regulate protein expression.

Sample Metadata Fields

Cell line

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accession-icon GSE7253
Puberty and Diabetes in the Kidney
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Puberty unmasks or accelerates nephropathies, including the nephropathy of diabetes mellitus (DM). A number of cellular systems implicated in the kidney disease of DM interweave, forming an interdependent functional web. We performed focused microarray analysis to test the hypothesis that one or more genes in the transforming growth factor beta (TGF-) signaling system would be differentially regulated in male rats depending on the age of onset of DM.

Publication Title

Prepubertal onset of diabetes prevents expression of renal cortical connective tissue growth factor.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61670
Modulation of the cancer cell transcriptome by culture media formulations and cell density
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We investigated how varying the composition of cell culture formulations and growing cancer cells at different densities might affect tumor cells genotype. Specifically, we compared gene expression profiles generated by human MDA-MB-231 human breast cancer cells cultured in different media (MEM, DMEM, or RPMI 1640) containing different concentrations of fetal bovine serum (FBS) or different sera (equine or bovine) that were grown at different cell densities.

Publication Title

Modulation of the cancer cell transcriptome by culture media formulations and cell density.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP091764
Modeling signaling-dependent pluripotent cell states with boolean logic can predict cell fate transitions [II]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Pluripotent stem cells (PSCs) exist in multiple stable states, each with specific cellular properties and molecular signatures. The process by which pluripotency is either maintained or destabilized to initiate specific developmental programs is poorly understood. We have developed a model to predict stabilized PSC gene regulatory network (GRN) states in response to combinations of input signals. While previous attempts to model PSC fate have been limited to static cell compositions, our approach enables simulations of dynamic heterogeneity by combining an Asynchronous Boolean Simulation (ABS) strategy with simulated single cell fate transitions using a Strongly Connected Components (SCCs). This computational framework was applied to a reverse-engineered and curated core GRN for mouse embryonic stem cells (mESCs) to simulate responses to LIF, Wnt/ß-catenin, FGF/ERK, BMP4, and Activin A/Nodal pathway activation. For these input signals, our simulations exhibit strong predictive power for gene expression patterns, cell population composition, and nodes controlling cell fate transitions. The model predictions extend into early PSC differentiation, demonstrating, for example, that a Cdx2-high/Oct4-low state can be efficiently generated from mESCs residing in a naïve and signal-receptive state sustained by combinations of signaling activators and inhibitors. Overall design: Examination of perturbed PSCs versus control PSCs and mesoderm progenitors Mouse pluripotent stem cells were grown on tissue culture plates for two days in serum-containing, feeder free medium supplemented with the following cytokines/small molecules: 2i = CHIR99021 (Reagents Direct 27-H76 – 3µM) & PD0325901 (Reagents Direct 39-C68 – 1µM) Jaki = JAK inhibitor (EMD Millipore 420097 – 2.0µM) BMP = BMP4 (R&D Systems 314-BP-010 – 10ng/ml) Alk5i = ALK5 inhibitor II (Cedarlane ALX-270-445 - 10µM)

Publication Title

Modeling signaling-dependent pluripotency with Boolean logic to predict cell fate transitions.

Sample Metadata Fields

Cell line, Treatment, Subject, Time

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accession-icon GSE29110
Fibrogenic and redox-related but not proinflammatory genes are upregulated in lewis rat model of chronic silicosis
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Silicosis, a fibrotic granulomatous lung disease, may occur through accidental high-dose or occupational inhalation of silica, leading to acute/accelerated and chronic silicosis, respectively. While chronic silicosis has a long asymptomatic latency, lung inflammation and apoptosis are hallmarks of acute silicosis. In animal models, histiocytic granulomas develop within days after high-dose intratracheal silica instillation. However, following chronic inhalation of occupationally relevant doses of silica, discrete granulomas resembling human silicosis arise months after the final exposure without significant lung inflammation/apoptosis. To identify molecular events associated with chronic silicosis, lung RNAs from controls or chronically silica-exposed rats were analyzed by Affymetrix at 28 wk after silica exposures. Results suggested a significant upregulation of 144 genes and downregulation of seven genes. The upregulated genes included complement cascade, chemokines/chemokine receptors, G-protein signaling components, metalloproteases, and genes associated with oxidative stress. To examine the kinetics of gene expression relevant to silicosis, qPCR, ELISA, Luminex-bead assays, Western blotting, and/or zymography were performed on lung tissues from 4 d, 28 wk, and intermediate times after chronic silica exposure and compared with 14 d acute silicosis samples. Results indicated that genes regulating fibrosis (secreted phosphoprotein-1, CCL2, and CCL7), redox enzymes (superoxide dismutase-2 and arginase-1), and the enzymatic activities of matrix metalloproteinases 2 and 9 were upregulated in acute and chronic silicosis; however, proinflammatory cytokines were strongly upregulated only in acute silicosis. Thus, inflammatory cytokines are associated with acute but not chronic silicosis; however, genes regulating fibrosis, oxidative stress, and metalloproteases may contribute to both acute and chronic silicosis.

Publication Title

Fibrogenic and redox-related but not proinflammatory genes are upregulated in Lewis rat model of chronic silicosis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE69296
Active FOXO1 is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Progesterone promotes differentiation coupled to proliferation and pro-survival in the breast, but inhibits estrogen-driven growth in the reproductive tract and ovaries. Herein, it is demonstrated, using progesterone receptor (PR) isoform-specific ovarian cancer model systems, that PR-A and PR-B promote distinct gene expression profiles that differ from PR-driven genes in breast cancer cells. In ovarian cancer models, PR-A primarily regulates genes independently of progestin, while PR-B is the dominant ligand-dependent isoform. Notably, FOXO1 and the PR/FOXO1 target-gene p21 (CDKN1A) are repressed by PR-A, but induced by PR-B. In the presence of progestin, PR-B, but not PR-A, robustly induced cellular senescence via FOXO1-dependent induction of p21 and p15 (CDKN2B). Chromatin immunoprecipitation (ChIP) assays performed on PR-isoform specific cells demonstrated that while each isoform is recruited to the same PRE-containing region of the p21 promoter in response to progestin, only PR-B elicits active chromatin marks. Overexpression of constitutively active FOXO1 in PR-A-expressing cells conferred robust ligand-dependent upregulation of the PR-B target genes GZMA, IGFBP1, and p21, and induced cellular senescence. In the presence of endogenous active FOXO1, PR-A was phosphorylated on Ser294 and transactivated PR-B at PR-B target genes; these events were blocked by the FOXO1 inhibitor (AS1842856). PR isoform-specific regulation of the FOXO1/p21 axis recapitulated in human primary ovarian tumor explants treated with progestin; loss of progestin sensitivity correlated with high AKT activity.

Publication Title

Active FOXO1 Is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming.

Sample Metadata Fields

Treatment, Time

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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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