Abstract
Circadian rhythms are constituted by a complex dynamical system with intertwined feedback loops, molecular switches, and self-sustained oscillations. Mathematical modeling supports understanding available heterogeneous kinetic data, highlights basic mechanisms, and can guide experimental research. Here, we introduce the basic steps from a biological question to simple models providing insight into gene-regulatory mechanisms. We illustrate the general approach by three examples: modeling decay processes, clock-controlled genes, and self-sustained oscillations.
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References
Wever R (1965) A mathematical model for circadian rhythms. Circadian Clocks 47: 47–63
Winfree AT (1970) Integrated view of resetting a circadian clock. J Theor Biol 28 (3): 327–374
Kronauer RE, Czeisler CA, Pilato SF, Moore-Ede MC, Weitzman ED (1982) Mathematical model of the human circadian system with two interacting oscillators. Am J Physiol Regul Integr Comp Physiol 242 (1): R3–R17
Kaplan D, Glass L (2012) Understanding nonlinear dynamics. Springer Science & Business Media, New York
Segel LA (1984) Modeling dynamic phenomena in molecular and cellular biology. Cambridge University Press, Cambridge
Murray JD (2002) Mathematical biology I: an introduction. Interdisciplinary applied mathematics, vol 17. Springer, New York
Goldbeter A (1997) Biochemical oscillations and cellular rhythms. Cambridge University Press, Cambridge
Cornish-Bowden A, Cárdenas ML (2013) Control of metabolic processes, vol 190. Springer Science & Business Media, New York
Heinrich R, Schuster S (2012) The regulation of cellular systems. Springer Science & Business Media, New York
Ingalls BP (2013) Mathematical modeling in systems biology: an introduction. MIT Press, Cambridge
Bintu L, Buchler NE, Garcia HG, Gerland U, Hwa T, Kondev J, Phillips R (2005) Transcriptional regulation by the numbers: models. Curr Opin Genet Dev 15 (2): 116–124
Chen WW, Niepel M, Sorger PK (2010) Classic and contemporary approaches to modeling biochemical reactions. Genes Dev 24 (17): 1861–1875
Westermark PO, Kotaleski JH, Björklund A, Grill V, Lansner A (2007) A mathematical model of the mitochondrial NADH shuttles and anaplerosis in the pancreatic β-cell. Am J Physiol Endocrinol Metab 292 (2): E373–E393
Westermark PO, Herzel H (2013) Mechanism for 12 hr rhythm generation by the circadian clock. Cell Rep 3 (4): 1228–1238
Ermentrout B (2002) Simulating, analyzing, and animating dynamical systems: a guide to XPPAUT for researchers and students, vol 14. SIAM, Philadelphia
Hucka M, Finney ABBJ, Bornstein BJ, Keating SM, Shapiro BE, Matthews J, Kovitz BL, Schilstra MJ, Funahashi A, Doyle JC, Kitano H (2004) Evolving a lingua franca and associated software infrastructure for computational systems biology: the systems biology markup language (SBML) project. Syst Biol 1 (1): 41–53
Buckingham E (1914) On physically similar systems; illustrations of the use of dimensional equations. Phys Rev 4 (4): 345
Vanselow K, Vanselow JT, Westermark PO, Reischl S, Maier B, Korte T, Herrmann A, Herzel H, Schlosser A, Kramer A (2006) Differential effects of PER2 phosphorylation: molecular basis for the human familial advanced sleep phase syndrome (FASPS). Genes Dev 20 (19): 2660–2672
Maiwald T, Timmer J (2008) Dynamical modeling and multi-experiment fitting with PottersWheel. Bioinformatics 24 (18): 2037–2043
Friedel CC, Dölken L, Ruzsics Z, Koszinowski UH, Zimmer R (2009) Conserved principles of mammalian transcriptional regulation revealed by RNA half-life. Nucleic Acids Res 37 (17): e115
Schwanhäusser B, Busse D, Li N, Dittmar G, Schuchhardt J, Wolf J, Chen W, Selbach M (2011) Global quantification of mammalian gene expression control. Nature 473 (7347): 337–342
Eden E, Geva-Zatorsky N, Issaeva I, Cohen A, Dekel E, Danon T, Cohen L, Mayo A, Alon U (2011) Proteome half-life dynamics in living human cells. Science 331 (6018): 764–768
Zhang R, Lahens NF, Ballance HI, Hughes ME, Hogenesch JB (2014) A circadian gene expression atlas in mammals: implications for biology and medicine. Proc Natl Acad Sci 111 (45): 16219–16224
Korenčič A, Bordyugov G, Rozman D, Goličnik M, Herzel H et al (2012) The interplay of cis-regulatory elements rules circadian rhythms in mouse liver. PLoS One 7 (11): e46835
Lück S, Thurley K, Thaben PF, Westermark PO (2014) Rhythmic degradation explains and unifies circadian transcriptome and proteome data. Cell Rep 9 (2): 741–751
Le Martelot G, Canella D, Symul L, Migliavacca E, Gilardi F, Liechti R, Martin O, Harshman K, Delorenzi M, Desvergne B, Herr W, Deplancke B, Schibler U, Rougemont J, Guex N, Hernandez N, Naef F, the CycliX consortium (2012) Genome-wide RNA polymerase ii profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles. PLoS Biol 10 (11): e1001442
Ukai-Tadenuma M, Yamada RG, Xu H, Ripperger JA, Liu AC, Ueda HR (2011) Delay in feedback repression by Cryptochrome 1 is required for circadian clock function. Cell 144 (2): 268–281
Lamia KA, Storch K-F, Weitz CJ (2008) Physiological significance of a peripheral tissue circadian clock. Proc Natl Acad Sci 105 (39): 15172–15177
Eser P, Demel C, Maier KC, Schwalb B, Pirkl N, Martin DE, Cramer P, Tresch A (2014) Periodic mRNA synthesis and degradation co-operate during cell cycle gene expression. Mol Syst Biol 10 (1): 717
Thurley K, Herbst C, Wesener F, Koller B, Wallach T, Maier B, Kramer A, Westermark PO (2017) Principles for circadian orchestration of metabolic pathways. Proc Natl Acad Sci USA 114(7):1572–1577. https://doi.org/10.1073/pnas.1613103114
Hughes ME, DiTacchio L, Hayes KR, Vollmers C, Pulivarthy S, Baggs JE, Panda S, Hogenesch JB (2009) Harmonics of circadian gene transcription in mammals. PLoS Genet 5 (4): e1000442
Locke JCW, Kozma-Bognár L, Gould PD, Fehér B, Kevei E, Nagy F, Turner MS, Hall A, Millar AJ (2006) Experimental validation of a predicted feedback loop in the multi-oscillator clock of Arabidopsis thaliana. Mol Syst Biol 2 (1): 59
Blum ID, Zhu L, Moquin L, Kokoeva MV, Gratton A, Giros B, Storch K-F (2014) A highly tunable dopaminergic oscillator generates ultradian rhythms of behavioral arousal. eLife 3: e05105
Hardin PE, Hall JC, Rosbash M (1990) Feedback of the Drosophila Period gene product on circadian cycling of its messenger RNA levels. Nature 343 (6258): 536–540
Goodwin BC (1965) Oscillatory behavior in enzymatic control processes. Adv Enzyme Regul 3: 425–437
Pett JP, Korenčič A, Wesener F, Kramer A, Herzel H (2016) Feedback loops of the mammalian circadian clock constitute repressilator. PLoS Comput Biol 12 (12): 1–15
Zeng H, Qian Z, Myers MP, Rosbash M (1996) A light-entrainment mechanism for the Drosophila circadian clock. Nature 380 (6570): 129–135
Myers MP, Wager-Smith K, Rothenfluh-Hilfiker A, Young MW (1996) Light-induced degradation of TIMELESS and entrainment of the Drosophila circadian clock. Science 271 (5256): 1736
Gallego M, Virshup DM (2007) Post-translational modifications regulate the ticking of the circadian clock. Nat Rev Mol Cell Biol 8 (2): 139–148
Meinhardt H (1982) Models of biological pattern formation. Academic, London
Tsai TY-C, Choi YS, Ma W, Pomerening JR, Tang C, Ferrell JE Jr (2008) Robust, tunable biological oscillations from interlinked positive and negative feedback loops. Science 321: 126–129
Stricker J, Cookson S, Bennett MR, Mather WH, Tsimring LS, Hasty J (2008) A fast, robust and tunable synthetic gene oscillator. Nature 456: 516–519
Ananthasubramaniam B, Herzel H (2014) Positive feedback promotes oscillations in negative feedback loops. PLoS One 9: e104761
Clodong S, Dühring U, Kronk L, Wilde A, Axmann I, Herzel H, Kollmann M (2007) Functioning and robustness of a bacterial circadian clock. Mol Syst Biol 3 (1): 90
Zimmerman WF, Pittendrigh CS, Pavlidis T (1968) Temperature compensation of the circadian oscillation in Drosophila pseudoobscura and its entrainment by temperature cycles. J Insect Physiol 14 (5): 669–684
Rensing L, Ruoff P (2002) Temperature effect on entrainment, phase shifting, and amplitude of circadian clocks and its molecular bases. Chronobiol Int 19 (5): 807–864
Abraham U, Granada AE, Westermark PO, Heine M, Kramer A, Herzel H (2010) Coupling governs entrainment range of circadian clocks. Mol Syst Biol 6 (1): 438
Buhr ED, Yoo S-H, Takahashi JS (2010) Temperature as a universal resetting cue for mammalian circadian oscillators. Science 330 (6002): 379–385
Ruoff P, Rensing L (1996) The temperature-compensated Goodwin model simulates many circadian clock properties. J Theor Biol 179 (4): 275–285
Hatakeyama TS, Kaneko K (2012) Generic temperature compensation of biological clocks by autonomous regulation of catalyst concentration. Proc Natl Acad Sci 109 (21): 8109–8114
Goldbeter A (1995) A model for circadian oscillations in the Drosophila PERIOD protein (PER). Proc R Soc Lond B Biol Sci 261 (1362): 319–324
Tyson JJ, Hong CI, Thron CD , Novak B (1999) A simple model of circadian rhythms based on dimerization and proteolysis of PER and TIM. Biophys J 77 (5): 2411–2417
Toh KL, Jones CR, He Y, Eide EJ, Hinz WA, Virshup DM, Ptáček LJ, Fu Y-H (2001) An hPer2 phosphorylation site mutation in familial advanced sleep phase syndrome. Science 291 (5506): 1040–1043
Lowrey PL, Shimomura K, Antoch MP, Yamazaki S, Zemenides PD, Ralph MR, Menaker M, Takahashi JS (2000) Positional syntenic cloning and functional characterization of the mammalian circadian mutation tau. Science 288 (5465): 483–491
Gallego M, Eide EJ, Woolf MF, Virshup DM, Forger DB (2006) An opposite role for tau in circadian rhythms revealed by mathematical modeling. Proc Natl Acad Sci 103 (28): 10618–10623
Zhou M, Kim JK, Eng GWL, Forger DB, Virshup DM (2015) A Period2 phosphoswitch regulates and temperature compensates circadian period. Mol Cell 60 (1): 77–88
Ferrell JE (1996) Tripping the switch fantastic: how a protein kinase cascade can convert graded inputs into switch-like outputs. Trends Biochem Sci 21 (12): 460–466
Legewie S, Blüthgen N, Herzel H (2006) Mathematical modeling identifies inhibitors of apoptosis as mediators of positive feedback and bistability. PLoS Comput Biol 2 (9): e120
Legewie S, Schoeberl B, Blüthgen N, Herzel H (2007) Competing docking interactions can bring about bistability in the MAPK cascade. Biophys J 93 (7): 2279–2288
Jolley CC, Ode KL, Ueda HR (2012) A design principle for a posttranslational biochemical oscillator. Cell Rep 2 (4): 938–950
Nakajima M, Imai K, Ito H, Nishiwaki T, Murayama Y, Iwasaki H, Oyama T, Kondo T (2005) Reconstitution of circadian oscillation of cyanobacterial KaiC phosphorylation in vitro. Science 308 (5720): 414–415
Qin X, Byrne M, Xu Y, Mori T, Johnson CH (2010) Coupling of a core post-translational pacemaker to a slave transcription/translation feedback loop in a circadian system. PLoS Biol 8 (6): e1000394
Brettschneider C, Rose RJ, Hertel S, Axmann IM, Heck AJR, Kollmann M (2010) A sequestration feedback determines dynamics and temperature entrainment of the KaiABC circadian clock. Mol Syst Biol 6 (1): 389
Axmann IM, Legewie S, Herzel H (2007) A minimal circadian clock model. Genome Inform 18: 54–64
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Pett, J.P., Westermark, P.O., Herzel, H. (2021). Simple Kinetic Models in Molecular Chronobiology. In: Brown, S.A. (eds) Circadian Clocks. Methods in Molecular Biology, vol 2130. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0381-9_7
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DOI: https://doi.org/10.1007/978-1-0716-0381-9_7
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