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      Preservation of ∼12-h ultradian rhythms of gene expression of mRNA and protein metabolism in the absence of canonical circadian clock

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          Abstract

          Introduction: Besides the ∼24-h circadian rhythms, ∼12-h ultradian rhythms of gene expression, metabolism and behaviors exist in animals ranging from crustaceans to mammals. Three major hypotheses were proposed on the origin and mechanisms of regulation of ∼12-h rhythms, namely, that they are not cell-autonomous and controlled by a combination of the circadian clock and environmental cues, that they are regulated by two anti-phase circadian transcription factors in a cell autonomous manner, or that they are established by a cell-autonomous ∼12-h oscillator.

          Methods: To distinguish among these possibilities, we performed a post hoc analysis of two high temporal resolution transcriptome dataset in animals and cells lacking the canonical circadian clock.

          Results: In both the liver of BMAL1 knockout mice and Drosophila S2 cells, we observed robust and prevalent ∼12-h rhythms of gene expression enriched in fundamental processes of mRNA and protein metabolism that show large convergence with those identified in wild-type mice liver. Bioinformatics analysis further predicted ELF1 and ATF6B as putative transcription factors regulating the ∼12-h rhythms of gene expression independently of the circadian clock in both fly and mice.

          Discussion: These findings provide additional evidence to support the existence of an evolutionarily conserved 12-h oscillator that controls ∼12-h rhythms of gene expression of protein and mRNA metabolism in multiple species.

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          Most cited references56

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          Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

          DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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            Transcriptional architecture of the mammalian circadian clock

            Next-generation sequencing approaches have yielded new insights into circadian function. Here, Takahashi reviews genome-wide analyses of the clock transcriptional feedback loop in mammals, which reveal a global circadian regulation of transcription factor occupancy, RNA polymerase II recruitment and initiation, nascent transcription and chromatin remodelling.
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              Circadian rhythms from flies to human.

              In this era of jet travel, our body 'remembers' the previous time zone, such that when we travel, our sleep wake pattern, mental alertness, eating habits and many other physiological processes temporarily suffer the consequences of time displacement until we adjust to the new time zone. Although the existence of a circadian clock in humans had been postulated for decades, an understanding of the molecular mechanisms has required the full complement of research tools. To gain the initial insights into circadian mechanisms, researchers turned to genetically tractable model organisms such as Drosophila.
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                Author and article information

                Contributors
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                30 May 2023
                2023
                : 14
                : 1195001
                Affiliations
                [1] 1 Aging Institute of UPMC , University of Pittsburgh School of Medicine , Pittsburgh, PA, United States
                [2] 2 Pittsburgh Liver Research Center , University of Pittsburgh , Pittsburgh, PA, United States
                [3] 3 Division of Endocrinology and Metabolism , Department of Medicine , University of Pittsburgh School of Medicine , Pittsburgh, PA, United States
                [4] 4 Department of Pathology , University of Pittsburgh School of Medicine , Pittsburgh, PA, United States
                Author notes

                Edited by: Daan R. van der Veen, University of Surrey, United Kingdom

                Reviewed by: Kenneth Dyar, Helmholtz Association of German Research Centres (HZ), Germany

                Mirko Pegoraro, Liverpool John Moores University, United Kingdom

                Vincent Van Der Vinne, Williams College, United States

                *Correspondence: Bokai Zhu, bzhu@ 123456pitt.edu
                Article
                1195001
                10.3389/fphys.2023.1195001
                10267751
                37324401
                e10d379d-1808-49af-872e-3fce830b41b2
                Copyright © 2023 Zhu and Liu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 March 2023
                : 19 May 2023
                Funding
                BZ was supported by grants 1DP2GM140924 and 1R21AG071893 through the NIH. This research was supported in part by the University of Pittsburgh Center for Research Computing through the resources provided. Specifically, this work used the HTC cluster, which is supported by NIH award number S10OD028483. This research project was supported in part by the Pittsburgh Liver Research Centre supported by NIH/NIDDK Digestive Disease Research Core Center grant P30DK120531. An early version of manuscript has been available on bioRxiv ( Zhu and Liu, 2023).
                Categories
                Physiology
                Original Research
                Custom metadata
                Chronobiology

                Anatomy & Physiology
                ultradian and circadian rhythms,proteostasis,mrna metabolism,x-box binding protein 1 (xbp1), drosophila s2 cell

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