We identified Ncoa3 as a regulator of neuronal morphology and microRNA activity. In order to uncover target genes of this transcriptional coactivator we performed this microarray analysis.
A large-scale functional screen identifies Nova1 and Ncoa3 as regulators of neuronal miRNA function.
Specimen part, Treatment
View SamplesPhysiologically, Notch signal transduction plays a pivotal role in differentiation; pathologically, Notch signaling contributes to the development of cancer. Transcriptional activation of Notch target genes involves cleavage of the Notch receptor in response to ligand binding, production of the Notch intracellular domain (NICD), and NICD migration into the nucleus and assembly of a coactivator complex. Posttranslational modifications of the NICD are important for its transcriptional activity and protein turnover. Deregulation of Notch signaling and stabilizing mutations of Notch1 have been linked to leukemia development. We found that the methyltransferase CARM1 (coactivator-associated arginine methyltransferase 1; also known as PRMT4) methylated NICD at five conserved arginine residues within the C-terminal transactivation domain. CARM1 physically and functionally interacted with the NICD-coactivator complex and was found at gene enhancers in a Notch-dependent manner. Although a methylation-defective NICD mutant was biochemically more stable, this mutant was biologically less active as measured with Notch assays in embryos of Xenopus laevis and Danio rerio. Mathematical modeling indicated that full but short and transient Notch signaling required methylation of NICD.
Site-specific methylation of Notch1 controls the amplitude and duration of the Notch1 response.
Cell line
View SamplesWe analyzed and classified Whi3-regulated and ploidy-regulated genes in haploid and diploid strains of the Sigma1278b genetic background under vegetative growth conditions.<br></br><br></br>For this purpose, we measured transcriptional profiles of two different haploid MATa and one diploid MATa/a yeast strains of the following genotypes: WHI3 strain (SS_YHUM468=YHUM0468), whi3 strain (SS_ySS137=YHUM1920) and whi3-delta/whi3-delta strain (SS_ySS137dipl=YHUM2152). All three strains were grown in duplicate in YNB medium supplemented with tryptophan and uracil at 30 degrees C to an optical density of 1.0 before extraction of total RNA and transcriptional profiling<br></br><br></br>
No associated publication
Sex, Subject
View SamplesWe determined and classified Yak1-regulated genes in haploid strains of the Sigma1278b genetic background under vegetative growth conditions. For this purpose, we measured transcriptional profiles of different haploid MATa yeast strains of the following genotypes:YAK1 (468=YHUM0468), yak1 (1313=YHUM1313), strain YHUM1313 (yak1) carrying a high copy plasmid with YAK1 (1313Yhc) and strain YHUM1313 (yak1) carrying a high copy plasmid with YAK1 K398R (1313KDhc). All strains were grown in duplicate in YNB medium supplemented with tryptophan at 30 degrees Celsius to an optical density of 1.0 before extraction of total RNA and transcriptional profiling.
No associated publication
Sex
View SamplesWe determined and classified Whi3-regulated genes in haploid strains of the Sigma1278b genetic background under vegetative growth conditions. For this purpose, we measured transcriptional profiles of two different haploid MATa yeast strains of the following genotypes: WHI3 strain (468=YHUM0468) and whi3 strain (1105=YHUM1105).Both starins were grown in duplicate in YNB medium with tryptophan at 30°C to an optical density of 1.0 before extraction of total RNA and transcriptional profiling
No associated publication
Sex
View SamplesDiagnostic samples of peripheral blood form acute myeloid leukemia were analysed for gene expression differences
NFATc1 as a therapeutic target in FLT3-ITD-positive AML.
Sex, Specimen part
View SamplesConsider the problem of designing a panel of complex biomarkers to predict a patient's health or disease state when one can pair his or her current test sample, called a target sample, with the patient's previously acquired healthy sample, called a reference sample. As contrasted to a population averaged reference, this reference sample is individualized. Automated predictor algorithms that compare and contrast the paired samples to each other could result in a new generation of test panels that compare to a person's healthy reference to enhance predictive accuracy. This study develops such an individualized predictor and illustrates the added value of including the healthy reference for design of predictive gene expression panels. The objective is to predict each subject's state of infection, e.g., neither exposed nor infected, exposed but not infected, pre-acute phase of infection, acute phase of infection, post-acute phase of infection. Using gene microarray data collected in a large-scale serially sampled respiratory virus challenge study, we quantify the diagnostic advantage of pairing a person's baseline reference with his or her target sample.
An individualized predictor of health and disease using paired reference and target samples.
Specimen part, Subject, Time
View SamplesAfrican-American individuals of the GENOA cohort
Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA.
Sex, Age, Specimen part
View SamplesThe NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.
The NIH Roadmap Epigenomics Mapping Consortium.
Sex, Specimen part, Disease, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.
Sex, Specimen part
View Samples