Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Circadian Enhancers Coordinate Multiple Phases of Rhythmic Gene Transcription In Vivo

ABSTRACT: Mammalian transcriptomes display complex circadian rhythms with multiple phases of gene expression that cannot be accounted for by current models of the molecular clock.M-BM- We have determined the underlyingM-BM- mechanisms by measuring nascent RNA transcription around the clock in mouse liver. Unbiased examination of eRNAs that cluster in specific circadian phasesM-BM- identified functional enhancers driven by distinct transcription factors (TFs). We further identify on a global scale the components of the TF cistromes that function to orchestrate circadian gene expression. Integrated genomicM-BM- analysesM-BM- also revealed novel mechanisms by which a single circadian factor controls opposing transcriptional phases. These findings shed new light on the diversity and specificity of TF function in the generation of multiple phases of circadian gene transcription in a mammalian organ. Nascent RNA transcripts in mouse liver were profiled at 8 time points of the 24 hour light-dark cycle. Static state mRNAs in WT and Rev-erbA -/- mice were profiled using microarray (GSE59460).

ORGANISM(S): Mus musculus

SUBMITTER: Bin Fang

PROVIDER: E-GEOD-59486 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Diurnal temperature cycling is an intrinsic characteristic of many exposed microbial ecosystems. However, its influence on yeast physiology and transcriptome has not been studied in detail. In this study, 24-h sinoidal temperature cycles, oscillating between 12 and 30M-BM-0C, were imposed on anaerobic, glucose-limited chemostat cultures of Saccharomyces cerevisiae. After three diurnal temperature cycles (DTC), concentrations of glucose, and extracellular metabolites, as well as CO2-production rates showed regular, reproducible circadian rhytms. DTC also led to waves of transcriptional activation and repression, which involved one sixth of the yeast genome. A substantial fraction of these DTC-responsive genes appeared to primarily respond to changes in glucose concentration. Elimination of known glucose-responsive genes revealed overrepresentation of previously identified temperature-responsive genes as well as genes involved in cell cycle and de novo purine biosynthesis. Analyses of budding index and flow cytomery demonstrated that DTC led to a partial synchronization of the cell cycle of the yeast populations in the chemostat cultures, which was lost upon release from DTC. Comparison of DTC results with data from steady-state cultures showed that DTC was sufficiently slow to allow S. cerevisiae chemostat cultures to almost completely acclimatize their transcriptome and physiology at the DTC temperature maximum, and to approach acclimation at the DTC temperature minimum. The aim of this study was to investigate the impact of diurnal temperature cycles on the physiology and transcriptome of S. cerevisiae and to assess the extent to which these responses can be predicted from steady-state analyses. To this end, we used a continuous cultivation set-up, in which the yeast was grown under controlled conditions and subjected to 24-h sinoidal temperature cycles. Since the sampling volume was kept within 5% of the reactor volume during 24 h, sampling from two independent duplicate cultures for microarray analysis was spread over the fifth and sixth temperature cycle. Sample points from the fifth and sixth temperature cycle were combined, resulting in six sample points covering one temperature cycle (at temperatures of 30; 21; 14.6; 12; 21 and 27.4M-BM-0C). For the last time point, one additional analytical duplicate sample was taken. Furthermore, steady-state chemostat cultures at constant temperatures of 12M-BM-0C and 30M-BM-0C (independent duplicate cultures at both temperatures) were sampled for microarray analysis. All this resulted in a total array set of 17 arrays.

Dataset Information

Circadian Enhancers Coordinate Multiple Phases of Rhythmic Gene Transcription In Vivo

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets