We examined the transcriptional function of cyclin D1 in mouse development using two approaches. First, we queried association of cyclin D1 with the genome of E14.5 mouse embryos using ChIP-on-chip approach. We observed binding of cyclin D1 to several promoter regions. Second, we compared gene expression profiles between wild-type and cyclin D1-null retinas. We observed several transcripts with altered levels in cyclin D1-null organs.
Transcriptional role of cyclin D1 in development revealed by a genetic-proteomic screen.
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View SamplesThis SuperSeries is composed of the SubSeries listed below.
Nos3-/- iPSCs model concordant signatures of in utero cardiac pathogenesis.
Specimen part, Time
View SamplesThrough genome-wide transcriptional comparisons, this study interrogates the capacity of iPSCs to accurately model pathogenic signatures of structural cardiac defects. Herein, we studied the molecular etiology of structural cardiac defects in Nos3-/- mice via transcriptional analysis of stage-matched embryonic and iPSC-derived tissues. In vitro comparisons of differentiated embryoid bodies were calibrated to in utero benchmarks of health and disease. Integrated systems biology analysis of WT and Nos3-/- transcriptional profiles revealed 50% concordant expression patterns between in utero embryonic and ex vivo iPSC-derived tissue. In particular, up-regulation of glucose metabolism (p-value = 3.95x10-12) and down-regulation of fatty acid metabolism (p-value = 6.71x10-12) highlight a bioenergetic signature of early Nos3 deficiency during cardiogenesis that can be recapitulated in iPSC-derived tissues. The in vitro concordance of early Nos3-/- disease signatures supports the utility of iPSCs as a cell-autonomous model of structural heart defects. Moreover, this study supports the use of iPSCs as a platform to pinpoint initial stages of cardiac pathogenesis.
Nos3-/- iPSCs model concordant signatures of in utero cardiac pathogenesis.
Specimen part, Time
View SamplesThrough genome-wide transcriptional comparisons, this study interrogates the capacity of iPSCs to accurately model pathogenic signatures of structural cardiac defects. Herein, we studied the molecular etiology of structural cardiac defects in Nos3-/- mice via transcriptional analysis of stage-matched embryonic and iPSC-derived tissues. In vitro comparisons of differentiated embryoid bodies were calibrated to in utero benchmarks of health and disease. Integrated systems biology analysis of WT and Nos3-/- transcriptional profiles revealed 50% concordant expression patterns between in utero embryonic and ex vivo iPSC-derived tissue. In particular, up-regulation of glucose metabolism (p-value = 3.95x10-12) and down-regulation of fatty acid metabolism (p-value = 6.71x10-12) highlight a bioenergetic signature of early Nos3 deficiency during cardiogenesis that can be recapitulated in iPSC-derived tissues. The in vitro concordance of early Nos3-/- disease signatures supports the utility of iPSCs as a cell-autonomous model of structural heart defects. Moreover, this study supports the use of iPSCs as a platform to pinpoint initial stages of cardiac pathogenesis.
Nos3-/- iPSCs model concordant signatures of in utero cardiac pathogenesis.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Genome-wide localization of SREBP-2 in hepatic chromatin predicts a role in autophagy.
Sex, Specimen part
View SamplesWe are using genome-wide ChIP-seq with isoform-specific antibodies and chromatin from select tissues of mice challenged with different dietary conditions that enrich for specific SREBPs.
Genome-wide localization of SREBP-2 in hepatic chromatin predicts a role in autophagy.
Sex, Specimen part
View SamplesArabidopsis plants growing under diurnal conditions were transferred to cold of approximately one day duration, starting at different times of the day. All comparisons are of unreplicated pairs and are thus not designed to identify cold-responsive gens in isolation but are rather to supplement existing publicly available data. The overall aim was to use a diverse set of experiments to see which factors have the greatest influence on the identity of cold-responsive genes.
Disruption of the Arabidopsis circadian clock is responsible for extensive variation in the cold-responsive transcriptome.
Age, Specimen part, Time
View SamplesTo address the neglected possibility for global mRNA changes in microarray experiments we developed a simple method to generate external controls for Affymetrix microarrays to allow these platforms to measure absolute mRNA expression at the global level. We used publicly available data to select probesets that never detect endogenous transcripts, and used PCR and IVT to generate synthetic mRNAs corresponding to them. After quality control and testing, these control transcripts were spiked into total RNA samples from plants before and after 24 h of cold treatment. Due to changes in the proportion of mRNA, these data reveal intensity-dependent bias in expression estimates based on standard all-gene normalizations. When not accounted for, this leads to false classification of the differential expression for thousands of genes.
Disruption of the Arabidopsis circadian clock is responsible for extensive variation in the cold-responsive transcriptome.
Age, Specimen part
View SamplesThe whole blood was collected pre-treatment from rheumatoid arthritis patients starting the anti_TNF therapy. All patients were nave to anti_TNFs. The disease activity was measured using the DAS28 score at the pre-treatment visit1 (DAS28_v1) and 14 weeks after treatment visit3 (DAS28_v3). The response to the therapy was evaluated using the EULAR [European League Against Rheumatism] definition of the response. The objective of the data analysis was to identify gene expression coorelating with response as well as to identify genes that differentiate responders versus non-responders pre-treatment. The results of this investigation identified 8 trainscripts that predict responders vs. non-responders with 89% accuracy.
Convergent Random Forest predictor: methodology for predicting drug response from genome-scale data applied to anti-TNF response.
Specimen part, Disease, Disease stage
View SamplesWe assessed the usability of microarrays, which base on formalin-fixed paraffin-embedded (FFPE) tissue.
Systematic evaluation of RNA quality, microarray data reliability and pathway analysis in fresh, fresh frozen and formalin-fixed paraffin-embedded tissue samples.
Specimen part, Treatment
View Samples