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  1. The multifunctional nature of Gbeta5/RGS9 revealed from its crystal structure PDB

    ID: PDB:2PBI

    Description: Regulator of G-protein signaling 9, Guanine nucleotide-...

  2. RGS9_RAT UniProt:Swiss-Prot

    ID: P49805

    Description: Regulator of G-protein signaling 9 DEP G

  3. RGS9_BOVIN UniProt:Swiss-Prot

    ID: O46469

    Description: Regulator of G-protein signaling 9 DEP G

  4. OF THE HETERODIMERIC COMPLEX OF THE RGS DOMAIN OF RGS9, AND THE GT/I1 CHIMERA ALPHA SUBUNIT [(RGS9)-(GT/I1ALPHA)-(GDP)-(ALF4-)-(MG2+)]... PDB

    ID: PDB:1FQK

    Description: HETERODIMERIC COMPLEX OF THE RGS DOMAIN OF RGS9, AND THE GT/I1 CHIMERA ALPHA SUBUNIT [(RGS9)-(GT/I1ALPHA)-(GDP)-(ALF4-)-(MG2+)]...

  5. F THE HETEROTRIMERIC COMPLEX OF THE RGS DOMAIN OF RGS9, THE GAMMA SUBUNIT OF PHOSPHODIESTERASE AND THE GT/I1 CHIMERA ALPHA SUBUNIT [(RGS9)-(PDEGAMMA)-(GT/I1ALPHA)-(GDP)-(ALF4-)-(MG2... PDB

    ID: PDB:1FQJ

    Description: HETEROTRIMERIC COMPLEX OF THE RGS DOMAIN OF RGS9, THE GAMMA SUBUNIT OF PHOSPHODIESTERASE AND THE GT/I1 CHIMERA ALPHA SUBUNIT [(RGS9)-(PDEGAMMA)-(GT/I1ALPHA)...

  6. 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

  7. RGS9 RGS DOMAIN PDB

    ID: PDB:1FQI

    Description: RGS9

  8. RGS9-2-controlled adaptations in the striatum determine the onset of action and eficacy of antidepressants in neuropathic pain states ArrayExpress

    ID: E-GEOD-71527

    Description: The striatal protein Regulator of G protein signaling-2 (

  9. RGS9-2-controlled adaptations in the striatum determine the onset of action and eficacy of antidepressants in neuropathic pain states OmicsDI

    ID: E-GEOD-71527

    Date Released: 08-29-2015

    Description: The striatal protein Regulator of G protein signaling-2 (

  10. Crystal structure of ComR from S.thermophilus in complex with DNA and its signalling peptide ComS. PDB

    ID: PDB:5JUB

    Description: Transcriptional regulator, ComS/DNA Complex

  11. R9BP_CHICK UniProt:Swiss-Prot

    ID: Q6XK22

    Description: Regulator of G-protein signaling 9-binding

  12. Striatal microRNA controls cocaine intake through CREB signalling ArrayExpress

    ID: E-GEOD-21901

    Description: iption factor CREB (cAMP response element-binding protein) is considered a core regulator of cocaine reward. We show that miR-212 controls responsiveness to cocaine by dramatically amplifying striatal CREB signaling. This action occurs through miR-212-enhanced Raf-1 activity, resulting in adenylyl cyclase sensitization and increased expression of the essential CREB co-activator TORC (Transducer of Regulated CREB; also known as CRTC). Our findings suggest that striatal miR-212 signaling plays a key role in vulnerability to addiction, and that noncoding RNAs such as the miRNAs may serve as novel targets for the development of anti-addiction therapeutics. To identify potential targets for miR-212, we transfected cells with a vector to overexpress miR-212 or an empty vector. We then analyzed profiled gene ex...

  13. Striatal microRNA controls cocaine intake through CREB signalling BioProject

    ID: PRJNA126865

    Keywords: Transcriptome or Gene expression

    Access Type: download

  14. RGS9_TAMST UniProt:Swiss-Prot

    ID: Q80ZD1

    Description: Regulator of G-protein signaling 9 DEP G

  15. R9BP_BOVIN UniProt:Swiss-Prot

    ID: Q8MJG0

    Description: Regulator of G-protein signaling 9-binding

  16. R9BPB_XENLA UniProt:Swiss-Prot

    ID: Q6GLX4

    Description: Regulator of G-protein signaling 9-binding

  17. R9BPC_XENLA UniProt:Swiss-Prot

    ID: Q6GLU0

    Description: Regulator of G-protein signaling 9-binding

  18. R9BP_DANRE UniProt:Swiss-Prot

    ID: Q504F3

    Description: Regulator of G-protein signaling 9-binding

  19. R9BPA_XENLA UniProt:Swiss-Prot

    ID: Q5XHI3

    Description: Regulator of G-protein signaling 9-binding

  20. R9BP_XENTR UniProt:Swiss-Prot

    ID: Q5M8K0

    Description: Regulator of G-protein signaling 9-binding

  21. RGS9_CAEEL UniProt:Swiss-Prot

    ID: Q23376

    Description: Regulator of G-protein signaling rgs-9 RGS

  22. Transcriptomic responses of Anguilla anguilla elvers fed dietary LPS ArrayExpress

    ID: E-GEOD-53346

    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...

  23. 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...
  24. COMPLEX OF ALF4-ACTIVATED GI-ALPHA-1 WITH RGS4 PDB

    ID: PDB:1AGR

    Description: GUANINE NUCLEOTIDE-BINDING PROTEIN G(I), RGS4, GUANOSINE-5'-DIPHOSPHATE, CITRIC ACID

  25. 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...
  26. Identification of Differential Gene Expression During Transition of Bovine Corpus Luteum from Early To Mid–Phase ArrayExpress

    ID: E-GEOD-10662

    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...

  27. 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 ...
  28. 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

  29. Structure of Epac2 in complex with cyclic-AMP and Rap PDB

    ID: PDB:3CF6

    Description: Rap guanine nucleotide exchange factor (GEF) 4, Ras-related protein Rap-1b

  30. 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...
  31. Systems biology of gene expression of bladder papilloma cells modulated by a malignant-derived extracellular matrix ArrayExpress

    ID: E-GEOD-9291

    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...

  32. Global transcriptional response of macrophage-like THP-1 cells ArrayExpress

    ID: E-GEOD-19315

    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...

  33. Gene profiling studies in postnatal Mfrprd6 mutant eyes reveal differential expression of Prss56, a trypsin-like serine protease, and genes involved i... OmicsDI

    ID: E-GEOD-53411

    Date Released: 11-01-2014

    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. 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....

  34. 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...
  35. Identification of Differential Gene Expression During Transition of Bovine Corpus Luteum from Early To Mid–Phase. OmicsDI

    ID: E-GEOD-10662

    Date Released: 05-02-2014

    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...

  36. 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...
  37. Gene profiling studies in postnatal Mfrprd6 mutant eyes reveal differential expression of Prss56, a trypsin-like serine protease, and genes involved i... ArrayExpress

    ID: E-GEOD-53411

    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. 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....

  38. Combined RNA-seq and Polr2a ChIP-seq Identifies Gene Targets for Transcriptional Regulation in Vasopressin-Sensitive Collecting Duct Cells ArrayExpress

    ID: E-GEOD-79573

    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...

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

    ID: E-GEOD-56819

    Description: o-associated kinase (ROCK) and zipper-interacting protein kinase (ZIPK) have been implicated in diverse physiological functions, including smooth muscle contraction, cell proliferatio...

  40. A Phase 2 Study of Tipifarnib in Large Granular Lymphocyte (LGL) Leukemia dbGaP

    ID: phs000594.v1.p1

    Description: LGL leukemia can be divided into three subsets including the following: αβ or γδT-LGL and NK-LGL leukemia. All three subtypes will...

    study.selectionCriteria: arnib previously or with other inhibitors of MAPK signaling intermediates
  41. History of allergic reactions attributed to compounds of similar chemical or biologic composition to tipifarnib. Tipifarnib is contraindicated in individuals with allergies to imidazoles such as clotrimazole, ketoconazole, miconazole, econazaole, fenticonazole, isoconazole, sulconazole, tioconazole, or terconazole. Information regarding possible drug allergies should be obtained from both patient questionnaires and past-medical records
  42. Uncontrolled concurrent illness including, but not limited to, ongoing or active infection, symptomatic congestive heart failure, unstable angina pectoris, cardiac arrhythmia, or psychiatric illness/social situations that would limit compliance with study requirements
  43. Women who are pregnant
  44. Women who are breastfeeding
  45. Women of childbearing potential who will not agree to use adequate contraception (hormonal or barrier method of birth control; abstinence) prior to study entry and for the duration of study participation.
  46. Men who will not agree to use adequate contraception (hormonal or barrier method of birth control; abstinence) prior to study entry and for the duration of study participation.
  47. Patients with immune deficiency are at increased risk of lethal infections when treated with marrow-suppressive therapy. HIV-positive patients receiving anti-retroviral therapy are excluded from the study because of possible pharmacokinetic interactions with tipifarnib, but HIV-positive patients receiving no retroviral therapy may be included in the study
  48. Patients with psychiatric illness/social situations that would limit compliance with study requirements and that would prevent informed decisions regarding entry into the study are excluded from study participation
  49. Patients with γδ T LGL that are positive for iso-chromosome 7, as determined by FISH analysis
  50. ...
  51. 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...
  52. 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...
  53. Effects of knockdown of ROCK1 and ZIPK on gene expression in cultured human vascular smooth muscle cells OmicsDI

    ID: E-GEOD-56819

    Date Released: 05-25-2015

    Description: o-associated kinase (ROCK) and zipper-interacting protein kinase (ZIPK) have been implicated in diverse physiological functions, including smooth muscle contraction, cell proliferatio...

  54. Runx2 Transcriptome of Prostate Cancer Cells: Insights into Invasiveness and Bone Metastasis ArrayExpress

    ID: E-GEOD-24261

    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. 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 quadruplicates (a total of 16...

  55. 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....
  56. 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...
  57. 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...
  58. 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...
  59. 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...
  60. 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...
  61. 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...
  62. 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...
  63. 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...
  64. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [092315data] BioProject

    ID: PRJNA340424

    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...
  65. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [111615data] BioProject

    ID: PRJNA340417

    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...
  66. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [081115data] BioProject

    ID: PRJNA340398

    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...
  67. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [2hFreq_LISAdata] BioProject

    ID: PRJNA340405

    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...
  68. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [061015data] BioProject

    ID: PRJNA340436

    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 wa...
  69. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [020116data] BioProject

    ID: PRJNA340434

    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...
  70. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [050415data] BioProject

    ID: PRJNA340428

    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...
  71. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [100815data] BioProject

    ID: PRJNA340422

    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 wa...
  72. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [112015data] BioProject

    ID: PRJNA340416

    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...
  73. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [042215data] BioProject

    ID: PRJNA340429

    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...
  74. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [093015data] BioProject

    ID: PRJNA340423

    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...
  75. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [060116data] BioProject

    ID: PRJNA340437

    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...
  76. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [041515data] BioProject

    ID: PRJNA340430

    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...
  77. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [011416_2data] BioProject

    ID: PRJNA340435

    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...
  78. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [082615data] BioProject

    ID: PRJNA340397

    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...
  79. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [2hFreq_ReanalysisLISAdata] BioProject

    ID: PRJNA340404

    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...
  80. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [072815data] BioProject

    ID: PRJNA340399

    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...
  81. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [061615data] BioProject

    ID: PRJNA340406

    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...
  82. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [030315data] BioProject

    ID: PRJNA340433

    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...
  83. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [100915data] BioProject

    ID: PRJNA340421

    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...
  84. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [072015data] BioProject

    ID: PRJNA340400

    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...
  85. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [071015data] BioProject

    ID: PRJNA340407

    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...
  86. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [010516data] BioProject

    ID: PRJNA340402

    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...
  87. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [RE_110915data] BioProject

    ID: PRJNA340414

    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...
  88. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [030316data] BioProject

    ID: PRJNA340432

    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...
  89. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [101915data] BioProject

    ID: PRJNA340420

    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...
  90. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [091815data] BioProject

    ID: PRJNA340425

    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...
  91. Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [111015data] BioProject

    ID: PRJNA340418

    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...
  92. Core pathway mutations induce de-differentiation of murine astrocytes into glioblastoma stem cells that are sensitive to radiation but resistant to te... BioProject

    ID: PRJNA254456

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: S: To model genetic alterations in human GBM core signaling pathways, we induced Rb knockout, Kras activation, and Pten deletion mutations in cortical murine astrocytes. Neurosphere culture, differentiation, and orthotopic transplantation assays were used to assess whether these mutations induced de-differentiation into GSCs. Genome-wide chromatin landscape alterations and expression profiles were examined by formaldehyde-assisted isolation of regulatory elements (FAI...

Displaying 82 of 82 results for "RGS9"