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      Cell Type-Specific Functions of Period Genes Revealed by Novel Adipocyte and Hepatocyte Circadian Clock Models

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          Abstract

          In animals, circadian rhythms in physiology and behavior result from coherent rhythmic interactions between clocks in the brain and those throughout the body. Despite the many tissue specific clocks, most understanding of the molecular core clock mechanism comes from studies of the suprachiasmatic nuclei (SCN) of the hypothalamus and a few other cell types. Here we report establishment and genetic characterization of three cell-autonomous mouse clock models: 3T3 fibroblasts, 3T3-L1 adipocytes, and MMH-D3 hepatocytes. Each model is genetically tractable and has an integrated luciferase reporter that allows for longitudinal luminescence recording of rhythmic clock gene expression using an inexpensive off-the-shelf microplate reader. To test these cellular models, we generated a library of short hairpin RNAs (shRNAs) against a panel of known clock genes and evaluated their impact on circadian rhythms. Knockdown of Bmal1, Clock, Cry1, and Cry2 each resulted in similar phenotypes in all three models, consistent with previous studies. However, we observed cell type-specific knockdown phenotypes for the Period and Rev-Erb families of clock genes. In particular, Per1 and Per2, which have strong behavioral effects in knockout mice, appear to play different roles in regulating period length and amplitude in these peripheral systems. Per3, which has relatively modest behavioral effects in knockout mice, substantially affects period length in the three cellular models and in dissociated SCN neurons. In summary, this study establishes new cell-autonomous clock models that are of particular relevance to metabolism and suitable for screening for clock modifiers, and reveals previously under-appreciated cell type-specific functions of clock genes.

          Author Summary

          Various aspects of our daily rhythms in physiology and behavior such as the sleep-wake cycle are regulated by endogenous circadian clocks that are present in nearly every cell. It is generally accepted that these oscillators share a similar biochemical negative feedback mechanism, consisting of transcriptional activators and repressors. In this study, we developed cell-autonomous, metabolically relevant clock models in mouse hepatocytes and adipocytes. Each clock model has an integrated luciferase reporter that allows for kinetic luminescence recording with an inexpensive microplate reader and thus is feasible for most laboratories. These models are amenable to high throughput screening of small molecules or genomic entities for impacts on cell-autonomous clocks relevant to metabolism. We validated these new models by RNA interference via lentivirus-mediated knockdown of known clock genes. As expected, we found that many core clock components have similar functions across cell types. To our surprise, however, we also uncovered previously under-appreciated cell type-specific functions of core clock genes, particularly Per1, Per2, and Per3. Because the circadian system is integrated with, and influenced by, the local physiology that is under its control, our studies provide important implications for future studies into cell type-specific mechanisms of various circadian systems.

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          Most cited references59

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          Coordinated transcription of key pathways in the mouse by the circadian clock.

          In mammals, circadian control of physiology and behavior is driven by a master pacemaker located in the suprachiasmatic nuclei (SCN) of the hypothalamus. We have used gene expression profiling to identify cycling transcripts in the SCN and in the liver. Our analysis revealed approximately 650 cycling transcripts and showed that the majority of these were specific to either the SCN or the liver. Genetic and genomic analysis suggests that a relatively small number of output genes are directly regulated by core oscillator components. Major processes regulated by the SCN and liver were found to be under circadian regulation. Importantly, rate-limiting steps in these various pathways were key sites of circadian control, highlighting the fundamental role that circadian clocks play in cellular and organismal physiology.
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            The orphan nuclear receptor REV-ERBalpha controls circadian transcription within the positive limb of the mammalian circadian oscillator.

            Mammalian circadian rhythms are generated by a feedback loop in which BMAL1 and CLOCK, players of the positive limb, activate transcription of the cryptochrome and period genes, components of the negative limb. Bmal1 and Per transcription cycles display nearly opposite phases and are thus governed by different mechanisms. Here, we identify the orphan nuclear receptor REV-ERBalpha as the major regulator of cyclic Bmal1 transcription. Circadian Rev-erbalpha expression is controlled by components of the general feedback loop. Thus, REV-ERBalpha constitutes a molecular link through which components of the negative limb drive antiphasic expression of components of the positive limb. While REV-ERBalpha influences the period length and affects the phase-shifting properties of the clock, it is not required for circadian rhythm generation.
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              Transcriptional architecture and chromatin landscape of the core circadian clock in mammals.

              The mammalian circadian clock involves a transcriptional feed back loop in which CLOCK and BMAL1 activate the Period and Cryptochrome genes, which then feedback and repress their own transcription. We have interrogated the transcriptional architecture of the circadian transcriptional regulatory loop on a genome scale in mouse liver and find a stereotyped, time-dependent pattern of transcription factor binding, RNA polymerase II (RNAPII) recruitment, RNA expression, and chromatin states. We find that the circadian transcriptional cycle of the clock consists of three distinct phases: a poised state, a coordinated de novo transcriptional activation state, and a repressed state. Only 22% of messenger RNA (mRNA) cycling genes are driven by de novo transcription, suggesting that both transcriptional and posttranscriptional mechanisms underlie the mammalian circadian clock. We also find that circadian modulation of RNAPII recruitment and chromatin remodeling occurs on a genome-wide scale far greater than that seen previously by gene expression profiling.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                April 2014
                3 April 2014
                : 10
                : 4
                : e1004244
                Affiliations
                [1 ]Department of Biological Sciences, University of Memphis, Memphis, Tennessee, United States of America
                [2 ]Department of Psychiatry, University of California, San Diego, La Jolla, California, United States of America
                [3 ]Center for Chronobiology, University of California, San Diego, La Jolla, California, United States of America
                [4 ]Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America
                [5 ]Department of Pharmacology and Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
                [6 ]Feinstone Genome Research Center, University of Memphis, Memphis, Tennessee, United States of America
                RIKEN, Japan
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CR DKW JBH ACL. Performed the experiments: CR HX SKK YS PJG DKW ACL. Analyzed the data: CR PJG DKW. Wrote the paper: CR DKW JBH ACL.

                Article
                PGENETICS-D-13-01681
                10.1371/journal.pgen.1004244
                3974647
                24699442
                95b8221b-f65a-4532-8548-5bdec19b7f11
                Copyright @ 2014

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 25 June 2013
                : 2 February 2014
                Page count
                Pages: 13
                Funding
                This work was supported in part by the National Science Foundation (IOS-0920417 to ACL), FedEx Institute of Technology (to ACL), and the National Institutes of Health (NINDS R01NS054794 to JBH and ACL; NIMH R01MH082945 to DKW; and R01MH051573 and R01GM074868 to Steve A. Kay). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Molecular Cell Biology
                Computational Biology
                Gene Regulatory Networks
                Genetics
                Gene Function
                Molecular Genetics

                Genetics
                Genetics

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