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Circadian oscillations of protein-coding and regulatory RNAs in a highly dynamic mammalian liver epigenome.

ABSTRACT: In the mouse liver, circadian transcriptional rhythms are necessary for metabolic homeostasis. Whether dynamic epigenomic modifications are associated with transcript oscillations has not been systematically investigated. We found that several antisense RNA, lincRNA, and microRNA transcripts also showed circadian oscillations in adult mouse livers. Robust transcript oscillations often correlated with rhythmic histone modifications in promoters, gene bodies, or enhancers, although promoter DNA methylation levels were relatively stable. Such integrative analyses identified oscillating expression of an antisense transcript (asPer2) to the gene encoding the circadian oscillator component Per2. Robust transcript oscillations often accompanied rhythms in multiple histone modifications and recruitment of multiple chromatin-associated clock components. Coupling of cycling histone modifications with nearby oscillating transcripts thus established a temporal relationship between enhancers, genes, and transcripts on a genome-wide scale in a mammalian liver. The results offer a framework for understanding the dynamics of metabolism, circadian clock, and chromatin modifications involved in metabolic homeostasis.

SUBMITTER: Vollmers C

PROVIDER: S-EPMC3541940 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature

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Circadian oscillations of protein-coding and regulatory RNAs in a highly dynamic mammalian liver epigenome.

Vollmers Christopher C Schmitz Robert J RJ Nathanson Jason J Yeo Gene G Ecker Joseph R JR Panda Satchidananda S

Cell metabolism 20121201 6

In the mouse liver, circadian transcriptional rhythms are necessary for metabolic homeostasis. Whether dynamic epigenomic modifications are associated with transcript oscillations has not been systematically investigated. We found that several antisense RNA, lincRNA, and microRNA transcripts also showed circadian oscillations in adult mouse livers. Robust transcript oscillations often correlated with rhythmic histone modifications in promoters, gene bodies, or enhancers, although promoter DNA me ...[more]

PMID: 23217262

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Project description:BackgroundThe role of long non-coding RNAs (lncRNAs) in controlling gene expression has garnered increased interest in recent years. Sequencing projects, such as Fantom3 for mouse and H-InvDB for human, have generated abundant data on transcribed components of mammalian cells, the majority of which appear not to be protein-coding. However, much of the non-protein-coding transcriptome could merely be a consequence of 'transcription noise'. It is therefore essential to use bioinformatic approaches to identify the likely functional candidates in a high throughput manner.Principal findingsWe derived a scheme for classifying and annotating likely functional lncRNAs in mammals. Using the available experimental full-length cDNA data sets for human and mouse, we identified 78 lncRNAs that are either syntenically conserved between human and mouse, or that originate from the same protein-coding genes. Of these, 11 have significant sequence homology. We found that these lncRNAs exhibit: (i) patterns of codon substitution typical of non-coding transcripts; (ii) preservation of sequences in distant mammals such as dog and cow, (iii) significant sequence conservation relative to their corresponding flanking regions (in 50% cases, flanking regions do not have homology at all; and in the remaining, the degree of conservation is significantly less); (iv) existence mostly as single-exon forms (8/11); and, (v) presence of conserved and stable secondary structure motifs within them. We further identified orthologous protein-coding genes that are contributing to the pool of lncRNAs; of which, genes implicated in carcinogenesis are significantly over-represented.ConclusionOur comparative mammalian genomics approach coupled with evolutionary analysis identified a small population of conserved long non-protein-coding RNAs (lncRNAs) that are potentially functional across Mammalia. Additionally, our analysis indicates that amongst the orthologous protein-coding genes that produce lncRNAs, those implicated in cancer pathogenesis are significantly over-represented, suggesting that these lncRNAs could play an important role in cancer pathomechanisms.

Project description:The mammalian circadian system controls various physiology processes and behavior responses by regulating thousands of circadian genes with rhythmic expressions. In this study, we redefined circadian-regulated genes based on published results in the mouse liver and compared them with other gene groups defined relative to circadian regulations, especially the non-circadian-regulated genes expressed in liver at multiple molecular levels from gene position to protein expression based on integrative analyses of different datasets from the literature. Based on the intra-tissue analysis, the liver circadian genes or LCGs show unique features when compared to other gene groups. First, LCGs in general have less neighboring genes and larger in both genomic and 3'-UTR lengths but shorter in CDS (coding sequence) lengths. Second, LCGs have higher mRNA and protein abundance, higher temporal expression variations, and shorter mRNA half-life. Third, more than 60% of LCGs form major co-expression clusters centered in four temporal windows: dawn, day, dusk, and night. In addition, larger and smaller LCGs are found mainly expressed in the day and night temporal windows, respectively, and we believe that LCGs are well-partitioned into the gene expression regulatory network that takes advantage of gene size, expression constraint, and chromosomal architecture. Based on inter-tissue analysis, more than half of LCGs are ubiquitously expressed in multiple tissues but only show rhythmical expression in one or limited number of tissues. LCGs show at least three-fold lower expression variations across the temporal windows than those among different tissues, and this observation suggests that temporal expression variations regulated by the circadian system is relatively subtle as compared with the tissue expression variations formed during development. Taken together, we suggest that the circadian system selects gene parameters in a cost effective way to improve tissue-specific functions by adapting temporal variations from the environment over evolutionary time scales.

Dataset Information

Circadian oscillations of protein-coding and regulatory RNAs in a highly dynamic mammalian liver epigenome.

Publications

Circadian oscillations of protein-coding and regulatory RNAs in a highly dynamic mammalian liver epigenome.

Similar Datasets

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