Modeling the interactions of sense and antisense Period transcripts in the mammalian circadian clock network

In recent years, it has become increasingly apparent that antisense transcription plays an important role in the regulation of gene expression. The circadian clock is no exception: an antisense transcript of the mammalian core-clock gene PERIOD2 (PER2), which we shall refer to as Per2AS RNA, oscilla...

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Veröffentlicht in:PLoS computational biology 2018-02, Vol.14 (2), p.e1005957-e1005957
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description In recent years, it has become increasingly apparent that antisense transcription plays an important role in the regulation of gene expression. The circadian clock is no exception: an antisense transcript of the mammalian core-clock gene PERIOD2 (PER2), which we shall refer to as Per2AS RNA, oscillates with a circadian period and a nearly 12 h phase shift from the peak expression of Per2 mRNA. In this paper, we ask whether Per2AS plays a regulatory role in the mammalian circadian clock by studying in silico the potential effects of interactions between Per2 and Per2AS RNAs on circadian rhythms. Based on the antiphasic expression pattern, we consider two hypotheses about how Per2 and Per2AS mutually interfere with each other's expression. In our pre-transcriptional model, the transcription of Per2AS RNA from the non-coding strand represses the transcription of Per2 mRNA from the coding strand and vice versa. In our post-transcriptional model, Per2 and Per2AS transcripts form a double-stranded RNA duplex, which is rapidly degraded. To study these two possible mechanisms, we have added terms describing our alternative hypotheses to a published mathematical model of the molecular regulatory network of the mammalian circadian clock. Our pre-transcriptional model predicts that transcriptional interference between Per2 and Per2AS can generate alternative modes of circadian oscillations, which we characterize in terms of the amplitude and phase of oscillation of core clock genes. In our post-transcriptional model, Per2/Per2AS duplex formation dampens the circadian rhythm. In a model that combines pre- and post-transcriptional controls, the period, amplitude and phase of circadian proteins exhibit non-monotonic dependencies on the rate of expression of Per2AS. All three models provide potential explanations of the observed antiphasic, circadian oscillations of Per2 and Per2AS RNAs. They make discordant predictions that can be tested experimentally in order to distinguish among these alternative hypotheses.
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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: transcripts in the mammalian circadian clock network. PLoS Comput Biol 14(2): e1005957. https://doi.org/10.1371/journal.pcbi.1005957</rights><rights>2018 Battogtokh et al 2018 Battogtokh et al</rights><rights>2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: transcripts in the mammalian circadian clock network. 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subjects Animals
Antisense RNA
Biological clocks
Biology
Biology and Life Sciences
Cell Cycle
Circadian Clocks - genetics
Circadian Clocks - physiology
Circadian rhythm
Circadian Rhythm - genetics
Circadian Rhythm - physiology
Circadian rhythms
Clock gene
Cytoplasm - metabolism
Double-stranded RNA
Funding
Gene Expression
Gene Expression Regulation
Genetic aspects
Hypotheses
Liver - metabolism
Mammals
Mathematical models
Metabolism
Mice
Models, Theoretical
Non-coding RNA
Oligonucleotides, Antisense - genetics
Oscillations
Oscillometry
Period 2 protein
Period Circadian Proteins - physiology
Phosphorylation
Post-transcription
Proteins
Research and Analysis Methods
Ribonucleic acid
RNA
RNA, Messenger - genetics
Transcription (Genetics)
Transcription Factors - metabolism
title Modeling the interactions of sense and antisense Period transcripts in the mammalian circadian clock network
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