Advertisement

Redundancy in circadian clocks?

The transcription factor BMAL1 is a core component of the mammalian circadian clock; without it, circadian behaviors are abolished. However, Ray et al. found that in animals lacking BMAL1, peripheral tissues synchronized with a brief pulse of the glucocorticoid hormone dexamethasone appear to retain a 24-hour pacemaker that sustains rhythmic gene expression, protein abundance, and protein phosphorylation in excised liver cells and fibroblasts (see the Perspective by Brown and Sato). These oscillations persisted in the absence of cues from changes in light or temperature. The results raise intriguing questions about the possible nature of the oscillator that maintains the observed rhythms.
Science, this issue p. 800; see also p. 740

Abstract

Circadian (~24 hour) clocks have a fundamental role in regulating daily physiology. The transcription factor BMAL1 is a principal driver of a molecular clock in mammals. Bmal1 deletion abolishes 24-hour activity patterning, one measure of clock output. We determined whether Bmal1 function is necessary for daily molecular oscillations in skin fibroblasts and liver slices. Unexpectedly, in Bmal1 knockout mice, both tissues exhibited 24-hour oscillations of the transcriptome, proteome, and phosphoproteome over 2 to 3 days in the absence of any exogenous drivers such as daily light or temperature cycles. This demonstrates a competent 24-hour molecular pacemaker in Bmal1 knockouts. We suggest that such oscillations might be underpinned by transcriptional regulation by the recruitment of ETS family transcription factors, and nontranscriptionally by co-opting redox oscillations.
Get full access to this article

View all available purchase options and get full access to this article.

Already a Subscriber?

Supplementary Material

Summary

Materials and Methods
Figs. S1 to S13
Tables S1 to S4
References (3657)

Resources

File (aaw7365_ray_sm.pdf)
File (aaw7365_ray_sm_v2.pdf)

References and Notes

1
J. C. Dunlap, Molecular bases for circadian clocks. Cell 96, 271–290 (1999).
2
N. Koike, S.-H. Yoo, H.-C. Huang, V. Kumar, C. Lee, T.-K. Kim, J. S. Takahashi, Transcriptional architecture and chromatin landscape of the core circadian clock in mammals. Science 338, 349–354 (2012).
3
M. K. Bunger, L. D. Wilsbacher, S. M. Moran, C. Clendenin, L. A. Radcliffe, J. B. Hogenesch, M. C. Simon, J. S. Takahashi, C. A. Bradfield, Mop3 is an essential component of the master circadian pacemaker in mammals. Cell 103, 1009–1017 (2000).
4
J. B. Hogenesch, Y. Z. Gu, S. Jain, C. A. Bradfield, The basic-helix-loop-helix-PAS orphan MOP3 forms transcriptionally active complexes with circadian and hypoxia factors. Proc. Natl. Acad. Sci. U.S.A. 95, 5474–5479 (1998).
5
M. K. Bunger, J. A. Walisser, R. Sullivan, P. A. Manley, S. M. Moran, V. L. Kalscheur, R. J. Colman, C. A. Bradfield, Progressive arthropathy in mice with a targeted disruption of the Mop3/Bmal-1 locus. Genesis 41, 122–132 (2005).
6
J. C. Ehlen, A. J. Brager, J. Baggs, L. Pinckney, C. L. Gray, J. P. DeBruyne, K. A. Esser, J. S. Takahashi, K. N. Paul, Bmal1 function in skeletal muscle regulates sleep. eLife 6, e26557 (2017).
7
A. Laposky, A. Easton, C. Dugovic, J. Walisser, C. Bradfield, F. Turek, Deletion of the mammalian circadian clock gene BMAL1/Mop3 alters baseline sleep architecture and the response to sleep deprivation. Sleep 28, 395–410 (2005).
8
K.-F. Storch, C. Paz, J. Signorovitch, E. Raviola, B. Pawlyk, T. Li, C. J. Weitz, Intrinsic circadian clock of the mammalian retina: Importance for retinal processing of visual information. Cell 130, 730–741 (2007).
9
E. S. Musiek, M. M. Lim, G. Yang, A. Q. Bauer, L. Qi, Y. Lee, J. H. Roh, X. Ortiz-Gonzalez, J. T. Dearborn, J. P. Culver, E. D. Herzog, J. B. Hogenesch, D. F. Wozniak, K. Dikranian, B. I. Giasson, D. R. Weaver, D. M. Holtzman, G. A. Fitzgerald, Circadian clock proteins regulate neuronal redox homeostasis and neurodegeneration. J. Clin. Invest. 123, 5389–5400 (2013).
10
R. V. Kondratov, A. A. Kondratova, V. Y. Gorbacheva, O. V. Vykhovanets, M. P. Antoch, Early aging and age-related pathologies in mice deficient in BMAL1, the core component of the circadian clock. Genes Dev. 20, 1868–1873 (2006).
11
J. E. Baggs, T. S. Price, L. DiTacchio, S. Panda, G. A. Fitzgerald, J. B. Hogenesch, Network features of the mammalian circadian clock. PLOS Biol. 7, e1000052 (2009).
12
J. S. O’Neill, A. B. Reddy, Circadian clocks in human red blood cells. Nature 469, 498–503 (2011).
13
J. S. O’Neill, G. van Ooijen, L. E. Dixon, C. Troein, F. Corellou, F.-Y. Bouget, A. B. Reddy, A. J. Millar, Circadian rhythms persist without transcription in a eukaryote. Nature 469, 554–558 (2011).
14
P. L. Lakin-Thomas, Transcriptional feedback oscillators: Maybe, maybe not.... J. Biol. Rhythms 21, 83–92 (2006).
15
P. Lakin-Thomas, Circadian rhythms, metabolic oscillators, and the target of rapamycin (TOR) pathway: The Neurospora connection. Curr. Genet. 65, 339–349 (2019).
16
G. Rey, N. B. Milev, U. K. Valekunja, R. Ch, S. Ray, M. Silva Dos Santos, A. D. Nagy, R. Antrobus, J. I. MacRae, A. B. Reddy, Metabolic oscillations on the circadian time scale in Drosophila cells lacking clock genes. Mol. Syst. Biol. 14, e8376 (2018).
17
G. Yang, L. Chen, G. R. Grant, G. Paschos, W.-L. Song, E. S. Musiek, V. Lee, S. C. McLoughlin, T. Grosser, G. Cotsarelis, G. A. FitzGerald, Timing of expression of the core clock gene Bmal1 influences its effects on aging and survival. Sci. Transl. Med. 8, 324ra16 (2016).
18
S. Shi, A. Hida, O. P. McGuinness, D. H. Wasserman, S. Yamazaki, C. H. Johnson, Circadian clock gene Bmal1 is not essential; functional replacement with its paralog, Bmal2. Curr. Biol. 20, 316–321 (2010).
19
P. F. Thaben, P. O. Westermark, Detecting rhythms in time series with RAIN. J. Biol. Rhythms 29, 391–400 (2014).
20
S. M. Reppert, D. R. Weaver, Coordination of circadian timing in mammals. Nature 418, 935–941 (2002).
21
A. Balsalobre, S. A. Brown, L. Marcacci, F. Tronche, C. Kellendonk, H. M. Reichardt, G. Schütz, U. Schibler, Resetting of circadian time in peripheral tissues by glucocorticoid signaling. Science 289, 2344–2347 (2000).
22
B. Fang, L. J. Everett, J. Jager, E. Briggs, S. M. Armour, D. Feng, A. Roy, Z. Gerhart-Hines, Z. Sun, M. A. Lazar, Circadian enhancers coordinate multiple phases of rhythmic gene transcription in vivo. Cell 159, 1140–1152 (2014).
23
R. V. Kondratov, R. K. Shamanna, A. A. Kondratova, V. Y. Gorbacheva, M. P. Antoch, Dual role of the CLOCK/BMAL1 circadian complex in transcriptional regulation. FASEB J. 20, 530–532 (2006).
24
E. E. Zhang, A. C. Liu, T. Hirota, L. J. Miraglia, G. Welch, P. Y. Pongsawakul, X. Liu, A. Atwood, J. W. Huss 3rd, J. Janes, A. I. Su, J. B. Hogenesch, S. A. Kay, A genome-wide RNAi screen for modifiers of the circadian clock in human cells. Cell 139, 199–210 (2009).
25
A. B. Reddy, G. Rey, Metabolic and nontranscriptional circadian clocks: Eukaryotes. Annu. Rev. Biochem. 83, 165–189 (2014).
26
C.-S. Cho, H. J. Yoon, J. Y. Kim, H. A. Woo, S. G. Rhee, Circadian rhythm of hyperoxidized peroxiredoxin II is determined by hemoglobin autoxidation and the 20S proteasome in red blood cells. Proc. Natl. Acad. Sci. U.S.A. 111, 12043–12048 (2014).
27
T. Miki, T. Matsumoto, Z. Zhao, C. C. Lee, p53 regulates Period2 expression and the circadian clock. Nat. Commun. 4, 2444 (2013).
28
Y. Nakahata, M. Kaluzova, B. Grimaldi, S. Sahar, J. Hirayama, D. Chen, L. P. Guarente, P. Sassone-Corsi, The NAD+-dependent deacetylase SIRT1 modulates CLOCK-mediated chromatin remodeling and circadian control. Cell 134, 329–340 (2008).
29
G. Asher, D. Gatfield, M. Stratmann, H. Reinke, C. Dibner, F. Kreppel, R. Mostoslavsky, F. W. Alt, U. Schibler, SIRT1 regulates circadian clock gene expression through PER2 deacetylation. Cell 134, 317–328 (2008).
30
D. Mauvoisin, J. Wang, C. Jouffe, E. Martin, F. Atger, P. Waridel, M. Quadroni, F. Gachon, F. Naef, Circadian clock-dependent and -independent rhythmic proteomes implement distinct diurnal functions in mouse liver. Proc. Natl. Acad. Sci. U.S.A. 111, 167–172 (2014).
31
M. S. Robles, J. Cox, M. Mann, In-vivo quantitative proteomics reveals a key contribution of post-transcriptional mechanisms to the circadian regulation of liver metabolism. PLOS Genet. 10, e1004047 (2014).
32
M. S. Robles, S. J. Humphrey, M. Mann, Phosphorylation Is a Central Mechanism for Circadian Control of Metabolism and Physiology. Cell Metab. 25, 118–127 (2017).
33
D. Jacobi, S. Liu, K. Burkewitz, N. Kory, N. H. Knudsen, R. K. Alexander, U. Unluturk, X. Li, X. Kong, A. L. Hyde, M. R. Gangl, W. B. Mair, C.-H. Lee, Hepatic Bmal1 Regulates Rhythmic Mitochondrial Dynamics and Promotes Metabolic Fitness. Cell Metab. 22, 709–720 (2015).
34
C. B. Peek, A. H. Affinati, K. M. Ramsey, H.-Y. Kuo, W. Yu, L. A. Sena, O. Ilkayeva, B. Marcheva, Y. Kobayashi, C. Omura, D. C. Levine, D. J. Bacsik, D. Gius, C. B. Newgard, E. Goetzman, N. S. Chandel, J. M. Denu, M. Mrksich, J. Bass, Circadian clock NAD+ cycle drives mitochondrial oxidative metabolism in mice. Science 342, 1243417 (2013).
35
J. A. Vizcaíno, A. Csordas, N. del-Toro, J. A. Dianes, J. Griss, I. Lavidas, G. Mayer, Y. Perez-Riverol, F. Reisinger, T. Ternent, Q.-W. Xu, R. Wang, H. Hermjakob, 2016 update of the PRIDE database and its related tools. Nucleic Acids Res. 44 (D1), D447–D456 (2016).
36
R. S. Edgar, A. Stangherlin, A. D. Nagy, M. P. Nicoll, S. Efstathiou, J. S. O’Neill, A. B. Reddy, Cell autonomous regulation of herpes and influenza virus infection by the circadian clock. Proc. Natl. Acad. Sci. U.S.A. 113, 10085–10090 (2016).
37
C. Trapnell, D. G. Hendrickson, M. Sauvageau, L. Goff, J. L. Rinn, L. Pachter, Differential analysis of gene regulation at transcript resolution with RNA-seq. Nat. Biotechnol. 31, 46–53 (2013).
38
D. Kim, G. Pertea, C. Trapnell, H. Pimentel, R. Kelley, S. L. Salzberg, TopHat2: Accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 14, R36 (2013).
39
S. Anders, W. Huber, Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010).
40
K. J. Livak, T. D. Schmittgen, Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25, 402–408 (2001).
41
S. Ray, R. Lach, K. J. Heesom, U. K. Valekunja, V. Encheva, A. P. Snijders, A. B. Reddy, Phenotypic proteomic profiling identifies a landscape of targets for circadian clock-modulating compounds. Life Sci. Alliance 2, e201900603 (2019).
42
J. Cox, M. Mann, MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 26, 1367–1372 (2008).
43
S. Tyanova, T. Temu, P. Sinitcyn, A. Carlson, M. Y. Hein, T. Geiger, M. Mann, J. Cox, The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 13, 731–740 (2016).
44
A. L. Hutchison, M. Maienschein-Cline, A. H. Chiang, S. M. A. Tabei, H. Gudjonson, N. Bahroos, R. Allada, A. R. Dinner, Improved statistical methods enable greater sensitivity in rhythm detection for genome-wide data. PLOS Comput. Biol. 11, e1004094 (2015).
45
M. E. Hughes, J. B. Hogenesch, K. Kornacker, JTK_CYCLE: An efficient nonparametric algorithm for detecting rhythmic components in genome-scale data sets. J. Biol. Rhythms 25, 372–380 (2010).
46
R. Yang, Z. Su, Analyzing circadian expression data by harmonic regression based on autoregressive spectral estimation. Bioinformatics 26, i168–i174 (2010).
47
M. Sorek, O. Levy, The effect of temperature compensation on the circadian rhythmicity of photosynthesis in Symbiodinium, coral-symbiotic alga. Sci. Rep. 2, 536 (2012).
48
R. Bacher, N. Leng, L.-F. Chu, Z. Ni, J. A. Thomson, C. Kendziorski, R. Stewart, Trendy: Segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments. BMC Bioinformatics 19, 380 (2018).
49
S. Heinz, C. Benner, N. Spann, E. Bertolino, Y. C. Lin, P. Laslo, J. X. Cheng, C. Murre, H. Singh, C. K. Glass, Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol. Cell 38, 576–589 (2010).
50
H. Mi, A. Muruganujan, J. T. Casagrande, P. D. Thomas, Large-scale gene function analysis with the PANTHER classification system. Nat. Protoc. 8, 1551–1566 (2013).
51
A. Fabregat, K. Sidiropoulos, P. Garapati, M. Gillespie, K. Hausmann, R. Haw, B. Jassal, S. Jupe, F. Korninger, S. McKay, L. Matthews, B. May, M. Milacic, K. Rothfels, V. Shamovsky, M. Webber, J. Weiser, M. Williams, G. Wu, L. Stein, H. Hermjakob, P. D’Eustachio, The Reactome pathway Knowledgebase. Nucleic Acids Res. 44, D481–D487 (2016).
52
D. Szklarczyk, A. L. Gable, D. Lyon, A. Junge, S. Wyder, J. Huerta-Cepas, M. Simonovic, N. T. Doncheva, J. H. Morris, P. Bork, L. J. Jensen, C. von Mering, STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 47, D607–D613 (2019).
53
A. B. Reddy, E. S. Maywood, N. A. Karp, V. M. King, Y. Inoue, F. J. Gonzalez, K. S. Lilley, C. P. Kyriacou, M. H. Hastings, Glucocorticoid signaling synchronizes the liver circadian transcriptome. Hepatology 45, 1478–1488 (2007).
54
G. Caratti, M. Iqbal, L. Hunter, D. Kim, P. Wang, R. M. Vonslow, N. Begley, A. J. Tetley, J. L. Woodburn, M. Pariollaud, R. Maidstone, I. J. Donaldson, Z. Zhang, L. M. Ince, G. Kitchen, M. Baxter, T. M. Poolman, D. A. Daniels, D. R. Stirling, C. Brocker, F. Gonzalez, A. S. Loudon, D. A. Bechtold, M. Rattray, L. C. Matthews, D. W. Ray, REVERBa couples the circadian clock to hepatic glucocorticoid action. J. Clin. Invest. 128, 4454–4471 (2018).
55
K. A. Lamia, S. J. Papp, R. T. Yu, G. D. Barish, N. H. Uhlenhaut, J. W. Jonker, M. Downes, R. M. Evans, Cryptochromes mediate rhythmic repression of the glucocorticoid receptor. Nature 480, 552–556 (2011).
56
M. E. Hughes, L. DiTacchio, K. R. Hayes, C. Vollmers, S. Pulivarthy, J. E. Baggs, S. Panda, J. B. Hogenesch, Harmonics of circadian gene transcription in mammals. PLOS Genet. 5, e1000442 (2009).
57
A. B. Reddy, N. A. Karp, E. S. Maywood, E. A. Sage, M. Deery, J. S. O’Neill, G. K. Y. Wong, J. Chesham, M. Odell, K. S. Lilley, C. P. Kyriacou, M. H. Hastings, Circadian orchestration of the hepatic proteome. Curr. Biol. 16, 1107–1115 (2006).

Information & Authors

Information

Published In

Science
Volume 367 | Issue 6479
14 February 2020

Submission history

Received: 20 January 2019
Accepted: 14 January 2020
Published in print: 14 February 2020

Permissions

Request permissions for this article.

Acknowledgments

We thank the Advanced Sequencing and Bioinformatics scientific technology platforms at the Francis Crick Institute for their support with next-generation sequencing. Funding: A.B.R. acknowledges funding from the Perelman School of Medicine, University of Pennsylvania, and the Institute for Translational Medicine and Therapeutics (ITMAT), Perelman School of Medicine, University of Pennsylvania. A.B.R. also acknowledges funding from the European Research Council (ERC Starting Grant no. 281348, MetaCLOCK), the EMBO Young Investigators Programme, and the Lister Institute of Preventive Medicine. A.B.R. was supported in part by a Wellcome Trust Senior Fellowship in Clinical Science (100333/Z/12/Z) at the University of Cambridge, and also in part by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001534), the UK Medical Research Council (FC001534), and the Wellcome Trust (FC001534). Author contributions: S.R., U.K.V., and A.B.R. conceived and designed the experiments. S.R., U.K.V., A.S., and G.D. performed the MSFs and liver tissue time-course experiments. U.K.V. performed the RNA-Seq and quantitative real-time reverse-transcriptase polymerase chain reaction experiments and analyzed the data. S.R. performed the quantitative proteomics and phosphoproteomics and analyzed the data with support from A.P.S. and S.A.H. A.B.R. supervised the whole study. The manuscript was written by S.R., U.K.V., and A.B.R. All authors agreed on the interpretation of data and approved the final version of the manuscript. Competing interests: The authors declare no competing interests. Data and materials availability: The RNA-seq data have been deposited in the Gene Expression Omnibus (accession nos. GSE111696 and GSE134333). The mass spectrometry proteomics and phosphoproteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (35) partner repository with the dataset identifier PXD009243.

Authors

Affiliations

Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK.
Present address: MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK.
Steven A. Howell
The Francis Crick Institute, London NW1 1AT, UK.
The Francis Crick Institute, London NW1 1AT, UK.
The Francis Crick Institute, London NW1 1AT, UK.
Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Chronobiology and Sleep institute (CSI), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding Information

Wellcome Trust: 100333/Z/12/Z
Wellcome Trust: FC001534

Notes

*
These authors contributed equally to this work.
‡Corresponding author. Email: [email protected]

Metrics & Citations

Metrics

Article Usage
Altmetrics

Citations

Export citation

Select the format you want to export the citation of this publication.

Cited by
  1. Communicating clocks shape circadian homeostasis, Science, 371, 6530, (2021)./doi/10.1126/science.abd0951
    Abstract
  2. Clocks, Viruses, and Immunity: Lessons for the COVID-19 Pandemic, Journal of Biological Rhythms, 36, 1, (23-34), (2021).https://doi.org/10.1177/0748730420987669
    Crossref
  3. Molecular Evolution of clock Genes in Vertebrates, Journal of Molecular Evolution, 89, 7, (494-512), (2021).https://doi.org/10.1007/s00239-021-10020-6
    Crossref
  4. Combined statistical modeling enables accurate mining of circadian transcription, NAR Genomics and Bioinformatics, 3, 2, (2021).https://doi.org/10.1093/nargab/lqab031
    Crossref
  5. CRYPTOCHROMES confer robustness, not rhythmicity, to circadian timekeeping, The EMBO Journal, 40, 7, (2021).https://doi.org/10.15252/embj.2020106745
    Crossref
  6. Bmal1 Regulates the Redox Rhythm of HSPB1, and Homooxidized HSPB1 Attenuates the Oxidative Stress Injury of Cardiomyocytes, Oxidative Medicine and Cellular Longevity, 2021, (1-16), (2021).https://doi.org/10.1155/2021/5542815
    Crossref
  7. Molecular link between circadian clocks and cardiac function: a network of core clock, slave clock, and effectors, Current Opinion in Pharmacology, 57, (28-40), (2021).https://doi.org/10.1016/j.coph.2020.10.006
    Crossref
  8. The circadian clock and metabolic homeostasis: entangled networks, Cellular and Molecular Life Sciences, 78, 10, (4563-4587), (2021).https://doi.org/10.1007/s00018-021-03800-2
    Crossref
  9. Circadian rhythms in the tissue-specificity from metabolism to immunity: insights from omics studies, Molecular Aspects of Medicine, (100984), (2021).https://doi.org/10.1016/j.mam.2021.100984
    Crossref
  10. Rhythmic glucose metabolism regulates the redox circadian clockwork in human red blood cells, Nature Communications, 12, 1, (2021).https://doi.org/10.1038/s41467-020-20479-4
    Crossref
  11. See more
Loading...

View Options

Get Access

Log in to view the full text

AAAS ID LOGIN

AAAS login provides access to Science for AAAS Members, and access to other journals in the Science family to users who have purchased individual subscriptions.

Log in via OpenAthens.
Log in via Shibboleth.
More options

Register for free to read this article

As a service to the community, this article is available for free. Login or register for free to read this article.

Purchase this issue in print

Buy a single issue of Science for just $15 USD.

View options

PDF format

Download this article as a PDF file

Download PDF

Media

Figures

Multimedia

Tables

Share

Share

Share article link

Share on social media