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Displaying 20 of 49 results for "RGS9"
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  1. RGS9-2-controlled adaptations in the striatum determine the onset of action and eficacy of antidepressants in neuropathic pain states BioProject

    ID: PRJNA291438

    Keywords: Transcriptome or Gene expression

    Access Type: download

  2. Striatal microRNA controls cocaine intake through CREB signalling BioProject

    ID: PRJNA126865

    Keywords: Transcriptome or Gene expression

    Access Type: download

  3. Transcriptomic responses of Anguilla anguilla elvers fed dietary LPS BioProject

    ID: PRJNA231769

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: immune status of the animals. Elvers (1.7 ± 0.2 g) obtained from local fishermen (Delta del Ebro, Spain) were fed at different doses of c (0, 20 and 40 μg LPSp kg BW-1 day-1) for a period of 70 days (4 replicates per dietary group). LPSp was added to the diet (52% protein, 24% fat, 9% ash) by top coating the pellets with the lyophilized powder of LPSp dissolved in 2% fish oil (diets manufactured by ALLERQUA, Denmark). The trial was conducted in 100 L tanks (40 L functional volume) connected to a recirculation unit (IRTAmar®) and water quality was as follows: temperature, 21 ± 0.5 ºC; pH, 7.5 ± 0.1; photoperiod, 12 L:12 D and oxygen at saturation levels. At the end of the trial, fish were measured for growth (BW), size dispersion, histological organization of the intestinal mucosa and the transcriptomic responses of the spleen were evaluated by means of a 60K (15000 gene signatures) custom oligonucleotide microarray (Agilent Technologies Inc.). No significant differ...
  4. Identification of Differential Gene Expression During Transition of Bovine Corpus Luteum from Early To Mid–Phase. BioProject

    ID: PRJNA107629

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: of PGF2alpha receptors; therefore differences in signaling events might be responsible for LS. Hence differential gene expression at two developmental stages, days 4 (D-4) and 10 (D-10) post estrus, might account for differences in signal transduction pathways associated with LS. This possibility was examined in these studies. Microarray analysis (n=3 per stage) identified 167 genes that were differentially expressed (p<0.05). These were categorized into genes involved in cell signaling, steroidogenesis and metabolism, protein degrad...
  5. Differentiation of Mesenchymal Glioblastoma Multiform by Bexarotene BioProject

    ID: PRJNA260057

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: he gene expression levels of Krüppel-like factor 9 (KLF9), regulator of G-protein signaling 4 (RGS4), growth differentiation factor 15 (GDF15), angiopoietin-like protein 4 (ANGPTL4), and lowered the level of chemokine receptor type 4 (CXCR4). Both drugs also induced a potential oncogene, transglutaminase 2 (TG2), but the fold-change induced by bexarotene was considerably lesser than that by ATRA. Consistently, the TG2 activity in GBM was elevated several folds by ATRA. Because TG2 upregulation is correlated with tumor transformation and resistance, it is important to control its overexpression. Bexarotene does not upregulate TG2 as much as ATRA, and bexarotene showed in vivo tumoricidal effects in a GBM xenograft mouse model. Thus, these findings strongly suggest that bexarotene is more beneficial than ATRA and should be considered as a differentiation therapeutic agent ...
  6. A G Protein-Coupled Receptor with a Lipid Kinase Domain Is Involved in Cell-Density Sensing. BioProject

    ID: PRJNA100019

    Keywords: Transcriptome or Gene expression

    Access Type: download

  7. Effects of knockdown of ROCK1 and ZIPK on gene expression in cultured human vascular smooth muscle cells BioProject

    ID: PRJNA244678

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: o-associated kinase (ROCK) and zipper-interacting protein kinase (ZIPK) have been implicated in diverse physiological functions, including smooth muscle contraction, cell proliferatio...
  8. Global transcriptional response of macrophage-like THP-1 cells BioProject

    ID: PRJNA120913

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: dual genes. However, it is known that many of the signaling pathways activated by Stxs regulate the expression of multiple genes in mammalian cells. To expand the scope of analysis of gene expression and to better understand the underlying mechanisms for the various effects of Stxs on cell functions, we carried out comparative microarray analyses to characterize the global transcriptional response of human macrophage-like THP-1 cells to Shiga toxin type 1 (Stx1) and LPS. Data were analyzed using a rigorous combinatorial a...
  9. Systems biology of gene expression of bladder papilloma cells modulated by a malignant-derived extracellular matrix BioProject

    ID: PRJNA102931

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: iles of RT4 cells grown on Matriges over 12 hours-9 days timecourse. Total 5881 hypervariable (HV) genes were found to vary significantly over the time points, indicating a response to matrix change. Correlational clustering showed these HV genes fell into distinct families, predominantly genes which became highly expressed on ECM. Another cluster show genes expressed at 12 hours after grown on Matrigel and...
  10. Runx2 Transcriptome of Prostate Cancer Cells: Insights into Invasiveness and Bone Metastasis BioProject

    ID: PRJNA132987

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: lators (SDC2, Twinfilin, SH3PXD2A), intracellular signaling molecules (DUSP1, SPHK1, RASD1) and transcription factors (Sox9, SNAI2, SMAD3) functioning in epithelium to mesenchyme transition (EMT), tissue invasion, as well as homing and attachment to bone. Consistent with the gene expression data, induction of Runx2 in C4-2B cells enhanced their invasiveness. It also promoted cellular quiescence by blocking the G1/S phase transition during cell cycle progression. Furthermore, the cell cycle block was reversed as Runx2 levels declined after Dox withdrawal. Conclusions: The effects of Runx2 in C4-2B/Rx2dox cells, as well as similar observations made by employing LNCaP, 22RV1 and PC3 cells, highlight multiple mechanisms by which Runx2 promotes the metastatic phenotype of PCa cells, including tissue invasion, homing to bone and induction of high bone turnover. Runx2 is therefore an attractive target for the development of novel diagnostic, prognostic and therapeutic approaches to PCa management. Targeting Runx2 may prove more effective than focusing on its individual downstream genes and pathways. Overall design: C4-2B/Rx2dox cells were subjected to microarray gene expression analysis after one and two days of treatment with either Dox or vehicle in biological quadruplicate...
  11. Combined RNA-seq and Polr2a ChIP-seq Identifies Gene Targets for Transcriptional Regulation in Vasopressin-Sensitive Collecting Duct Cells BioProject

    ID: PRJNA316301

    Keywords: Epigenomics

    Access Type: download

    dataset.description: duced changes in the abundance of the aquaporin-2 protein. Defects in the long-term regulation have been implicated in multiple water balance disorders. With the objetive to identify genes that are transcriptionally regulated in response to vasopressin in cultured mouse collecting duct cells (mpkCCD), we carried out both RNA-seq to measure all transcripts (n=9) and ChIP-seq for RNA polymerase II (Polr2a) binding along the genome (n=3). Observations were made both after 24-hr treatment wit...
  12. Gene profiling studies in postnatal Mfrprd6 mutant eyes reveal differential expression of Prss56, a trypsin-like serine protease, and genes involved i... BioProject

    ID: PRJNA231936

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: he expression of RPE-specific visual transduction protein, RPE65, was significantly decreased in Mfrprd6 mutants. As an indirect consequence of the primary RPE cell defect due to the Mfrprd6 mutation, retinal specific transcripts Rgr, Pde6a, GuCa1b, and Rgs9 were also significantly decreased. We also confirmed the significantly elevated levels of Prss56, a gene previously associated with myopia and open angle glaucoma. In the Mfrprd6 mutant, a progressive increase in Prss56 mRNA levels from 14- to 70-fold was observed from P7 to P21, respectively. In situ hybridization and glutamine synthetase staining of mutant eyes indirectly identified Müller glia in the inner nuclear layer of retina as the cell type expressing the Prss56 transcript. Overall design: This experiment had one model term, a combination of strain and time, which consisted of four levels (B6_P0, B6_P14, Rd6_P0 and Rd6_P14). Three biological replicates were used per term level. A total of 12 Affymetrix Mouse 430v2 Arrays were used in gene expression analysis....
  13. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [011416_1data] BioProject

    ID: PRJNA340401

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  14. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [091015data] BioProject

    ID: PRJNA340396

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  15. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [071615data] BioProject

    ID: PRJNA340408

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  16. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [010416_1data] BioProject

    ID: PRJNA340403

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  17. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [113015data] BioProject

    ID: PRJNA340415

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  18. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [051215data] BioProject

    ID: PRJNA340438

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  19. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [031615data] BioProject

    ID: PRJNA340431

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...
  20. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [102215data] BioProject

    ID: PRJNA340419

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: actors (e.g. inhibin α, VGF), 2) activation of a signaling component with a refractory period (e.g. G protein), and 3) inactivation of a factor needed for Fshb induction (e.g. GDF9). Simulations with all three models recapitulated the Fshb expression levels obtained in standard perifusion experiments at different GnRH pulse frequencies. Notably, simulations altering average concentration, pulse duration and frequency showed that the apparent frequency-dependent pattern of Fshb expression obtained with model 1 actually resulted from variations in average GnRH concentration. In contrast, models 2 and 3 showed “true” frequency sensing. To resolve which components of this GnRH signal induce Fshb, a massively parallel experimental system was developed. Analysis of over 4000 samples in ~40 experiments in...

Displaying 20 of 49 results for "RGS9"