Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Flattened circadian glucocorticoid oscillations cause obesity due to increased lipid turnover and lipid uptake

ABSTRACT: Chronic stressors flatten circadian glucocorticoid (GC) oscillations, which has been correlated with negative health outcomes including obesity. How such flattened circadian GC oscillations affect metabolism and fat storage remains unknown. Here we investigated the consequences in mice and found that flattening of GC oscillations results not only in body weight gain, mainly due to increases in white fat depot mass, but also leads to hyperinsulinemia and fat accumulation in brown adipose tissue. Global analysis of the transcriptome of WAT and BAT revealed alterations in gene expression dependent on flattened GC oscillations and point to increased lipid turnover and lipid uptake in both fat depots.

ORGANISM(S): Mus musculus

PROVIDER: GSE202800 | GEO | 2022/05/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Flattened circadian glucocorticoid oscillations cause obesity due to increased lipid turnover and lipid uptake

Project description:Flattened circadian glucocorticoid oscillations cause obesity due to increased lipid turnover and lipid uptake

| PRJNA837272 | ENA

Non-canonical circadian oscillations in Drosophila S2 cells

Project description:Circadian rhythms are cell-autonomous biological oscillations with a period of about 24 hours. Current models propose that transcriptional feedback loops are the principal mechanism for the generation of circadian oscillations. In these models, Drosophila S2 cells are generally regarded as ‘non-rhythmic’ cells, as they do not express several canonical circadian components. Using an unbiased multi-omics approach, we made the surprising discovery that Drosophila S2 cells do in fact display widespread daily rhythms. Transcriptomics and proteomics analyses revealed that hundreds of genes and their products are rhythmically expressed in a 24-hour cycle. Metabolomics analyses extended these findings and illustrated that central carbon metabolism and amino acid metabolism are the main pathways regulated in a rhythmic fashion. We thus demonstrate that daily genome-wide oscillations, coupled to metabolic cycles, take place in eukaryotic cells without the contribution of known circadian regulators.

2018-07-31 | PXD007669 | Pride

Oscillations in supercoiling drive circadian gene expression in cyanobacteria

2009-11-30 | GSE18902 | GEO

Oscillations in supercoiling drive circadian gene expression in cyanobacteria

Project description:The cyanobacterium Synechococcus elongatus PCC 7942 exhibits oscillations in mRNA transcript abundance with 24-hour periodicity under continuous light conditions. The mechanism underlying these oscillations remains elusive â?? neither cis nor trans-factors controlling circadian gene expression phase have been identified. Here we show that the topological status of the chromosome is highly correlated with circadian gene expression state. We also demonstrate that DNA sequence characteristics of genes that appear monotonically activated and monotonically repressed by chromosomal relaxation during the circadian cycle are similar to those of supercoiling responsive genes in E. coli. Furthermore, perturbation of superhelical status within the physiological range elicits global changes in gene expression similar to those that occur during the normal circadian cycle. Synechococcus elongatus PCC 7942 was subjected to two consecutive light/dark cycles and released into continuous light (T = 0). Cells were sampled every 4 hours from T = 24 to T = 84 hours for microarray analysis to characterize circadian gene expression. In a separate experiment, to characterize the response of S. elongatus to immediate chromosome relaxation, cells were sampled at T = 56 and T = 64 hours, immediately followed by novobiocin treatment (0.1 ug/ml), and the resulting response was measured by microarray after 5, 10, 30, 90, and 150 minutes. This experiment was designed to test whether chromosomal relaxation is sufficient to induce gene expression changes similar to those observed during the circadian cycle.

2010-05-19 | E-GEOD-18902 | biostudies-arrayexpress

Circadian Clock Regulation of Hepatic Lipid Metabolism by Modulation of m6A mRNA Methylation [siMettl3]

Project description:Circadian transcriptional rhythms are necessary for lipid metabolic homeostasis. Disruptions can lead to metabolic diseases. Whether epigenetic N6-methyladenosine (m6A) mRNA methylation impacts circadian regulation of lipid metabolism is unclear. Here, we show m6A mRNA methylation oscillations in murine liver depend upon a functional circadian clock. Hepatic deletion of Bmal1 increased m6A mRNA methylation, particularly of PPaRα. Inhibition of m6A methylation via knockdown of m6A methyltransferase METTL3 decreased PPaRα m6A abundance and increased PPaRα mRNA lifetime and expression, reducing lipid accumulation in cells in vitro. Our data suggest YTH domain family 2 (YTHDF2, a m6A binding protein) binds to PPaRα, prolonging its lifetime and mRNA expression. Reactive oxygen species accumulation increased PPaRα transcript m6A levels, revealing a possible mechanism for circadian clock disruption on m6A mRNA methylation. These data suggest m6A RNA methylation is important for circadian clock regulation of downstream genes and lipid metabolism that impacts metabolic outcome.

2018-06-21 | GSE102620 | GEO

Circadian Clock Regulation of Hepatic Lipid Metabolism by Modulation of m6A mRNA Methylation [Bmal1 KO]

2018-10-25 | GSE102619 | GEO

Circadian-clock independent ultradian rhythms in lipid metabolism in Drosophila fat body

Project description:The role of circadian clocks in regulating metabolic processes has been studied extensively. Yet, the physiological impacts of the circadian system on metabolic states across species and life stages remain to be explored. This study investigates the relationship between circadian rhythms and metabolic regulation in the fat body of Drosophila larva, an organ crucial for maintaining metabolic homeostasis, growth and developmental timing. Larval fat body is analogous to the mammalian liver and adipose tissue but lacks a canonical circadian clock. Around-the-clock RNA-sequencing analysis on the fat bodies of wild-type and period clock gene null mutant larvae revealed circadian rhythms in the transcriptome of wild-type larvae. Surprisingly, period mutant exhibited 12-h rhythms in the expression of numerous genes, particularly those involved in peroxisome function, lipid metabolism, and oxidative stress response. Consistent with these transcriptomic data, peroxisome biogenesis and activity demonstrated 12-h rhythms in period mutant fat bodies. Furthermore, levels of reactive oxygen species displayed inverse-phased rhythms to that of lipid peroxidation, with 24-h rhythms in wild-type and 12-h rhythms in period mutant fat bodies. Moreover, while daily fat storage levels in wild-type larvae remained constant, period mutants exhibited fluctuations with a 12-h period and a net reduction in body fat storage. Collectively, our results identified a clock-independent ultradian rhythms in lipid metabolism, which may contribute to maintaining the metabolic, energetic, and redox homeostasis essential for larval survival and development.

2024-12-19 | GSE282559 | GEO

Metabolic oscillations on the circadian time scale in Drosophila cells lacking clock genes

Project description:Circadian rhythms are cell-autonomous biological oscillations with a period of about 24 hours. Current models propose that transcriptional feedback loops are the primary mechanism for the generation of circadian oscillations1. In these models, Drosophila S2 cells are generally regarded as ‘non-rhythmic’ cells, as they do not express several canonical circadian components2,3. Using an unbiased multi-omics approach, we made the surprising discovery that Drosophila S2 cells do in fact display widespread daily rhythms. Transcriptomics and proteomics analyses revealed that hundreds of genes and their products, and in particular metabolic enzymes, are rhythmically expressed in a 24-hour cycle. Metabolomics analyses extended these findings and demonstrated that central carbon metabolism and amino acid metabolism are the principal pathways regulated in a rhythmic fashion. We thus demonstrate that 24-hour metabolic oscillations, coupled to gene expression cycles, take place in eukaryotic cells without the contribution of any known circadian regulators.

2018-07-31 | GSE102495 | GEO

Cytosine modifications exhibit circadian oscillations that are involved in epigenetic diversity and aging [Bisulfite-Seq]

Project description:Circadian rhythmicity governs a remarkable array of fundamental biological functions and is mediated by cyclical transcriptomic and proteomic activities. Epigenetic factors are also involved in this circadian machinery; however, despite extensive efforts, detection and characterization of circadian cytosine modifications at the nucleotide level have remained elusive. In this study, we report that a large proportion of epigenetically variable cytosines show a circadian pattern in their modification status in mice. Importantly, the cytosines with circadian epigenetic oscillations significantly overlapped with the cytosines exhibiting age-related changes in their modification status. Our findings suggest that evolutionary advantageous processes like circadian rhythmicity can also contribute to an organism’s deterioration.

2017-12-12 | GSE83947 | GEO

Diurnal oscillations in human salivary microRNA and microbial transcription

Project description:We investigated daily oscillations in salivary miRNA and microbial RNA to explore relationships between these components of the gut-brain-axis and their implications in human health. Nine subjects provided 120 saliva samples at designated times, on repeated days. Samples were divided into three sets for exploration and cross-validation. Identification and quantification of host miRNA and microbial RNA was performed using next generation sequencing. Eleven miRNAs and 11 microbial RNAs demonstrated consistent diurnal oscillation across the first 2 sample sets and accurately predicted collection time in the hold-out set based on multivariate logistic regression modeling. Associations among five circadian miRNAs and four circadian microbial RNAs were observed.

2018-07-06 | GSE116686 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data