Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms

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Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for Theoretical Biology (ITB) Charité and Humboldt University Berlin

Molecular Chronobiology SCN-neuron nucleus 3rd ventricle positive elements activation clock-genes (e.g. Period2) inhibition negative elements Oscillation optic chiasm Synchronization

Clock genes and feedback loops

The core clock in Drosophila negative and positive feedback loops D. Bell-Pedersen et al. 2005

The core clock in mammals D. Bell-Pedersen et al. 2005

Limits of quantitative models models single cells data advanced models of feedback loops incl. PER/CRY loops and RORE-loops noisy reporter signals of at most 44 days few PRCs (mostly phase resetting) kinetic parameters mostly unknown Relogio et al. PLoS Comp. Biol. 2011 Abraham, Schlichting et al., in revision

Limits of quantitative models models neuronal networksdata network models with heterogeneity, different coupling schemes etc. movies with waves and tides multiple coupling mechanisms debated some PRCs (VIP, AVP, optogenetics ) splitting rare Bernard et al. PLoS Comp. Biol. 2007 Yamaguchi et al., Science 2003

Limits of quantitative models models on organismic level data long actograms many PRCs incl. dead zones entrainment/jetlag protocols saisonal variations Aschoff and Pohl, 1978

Challenge genetic feedback models + coupling network models

Challenge genetic feedback models + coupling network models Example of complexity: single cell oscillator: amplitude, phase, +-4h PRC resonant coupling strong, rigid network oscillator with +-1h PRC regarding cells versus ensembles see also: Rougemont & Naef 2007; vanderleest Meijer 2009; Bordyugov et al. 2011; John,Taylor et al. 2014; Pia Rose 2015

Complex network dynamics in insects as well

From cells to networks to organisms 1. Single cell rhythms: many detailed models but limited single cell data 2. Synchronization: sloppy oscillators useful, coupling phase matters 3. Coupling makes oscillators strong (small PRCs, narrow entrainment range) 4. Strong oscillators have flexible entrainment phases

Some open questions o How is fine-tuning of periods possible despite molecular noise (e.g. transcriptional bursts)? o How long delays (6-12 hours needed) are realized? o What are the most essential switches? o How do transcriptional feedback loops interact with other oscillators (cell cycle, metabolism, peroxiredoxins)? o Where are the feedbacks in the cyanobacterial clock? o How to get robust synchronization and entrainment instead of splitting and chaos?

E-boxes, ROR-elements and D-boxes drive clock genes H Ukai, HR Ueda: Annu Rev Physiol 72: 579-603 (2010)

Science 19, 349-354,

Negative feedbacks as a common design principle D. Bell-Pedersen et al. 2005

Delayed nuclear import in Drosophila P. Meyer, L. Saez, M. W. Young, Science 2006 J.C. Dunlap 2006

FASPS: Per phosphorylation controls delay Measurements mass spec. Entrainment 6 days 35/39 C +CHX PER2 wt FASPS Rel. luminescence live cell imaging Constant 37 C PER2 wt biochemistry 0 0.5 1 h 2 3 4 6 8 cell biology β-actin FASPS 0 1 2 3 β-actin Time (days) Model prediction Test of prediction solvent CKI-7 (50 µm) CKI-7 (200 µm) Rel. luminescence Normalized concentration Mathematical Model wild-type q1 = 0 q12 = 0.75 0 1 2 Time (days) 3 4 1 2 3 4 Time (days) 5 6 Vanselow et al., Genes & Dev, 2006

Huge protein complexes regulate transcription Jin Young Kim et al.

Synergy of negative (orange) and positive (blue) regulations B. Ananthasubramaniam et al. 2014

Take home messages Delayed negative feedback are necessary but not sufficient for self-sustained oscillation Delays are tuned by transcription, translation, complex formation, phosphorylation, nuclear translocation, stability, epigenetics, Nonlinearities (switches) can result from cooperativity, positive feedbacks and sequestration Understanding synchronization and entrainment requires oscillator theory (PRCs, limit cycles, Arnold tongues.)

Negative PER/CRY Loop in Early Models Forger, Peskin PNAS 2003 Leloup, Goldbeter PNAS 2003 Becker-Weimann Biophys. J. 2004

Both loops can generate rhythms Relogio et al. PLoS Comp. Biol. 2011

by courtesy of Marc Lefranc

Construction of a core clock model using representative genes: activators (Bmal1, Dbp)+ early inhibitors (Per2, Rev-Erb)+late inhibitor (Cry1) experimentally verified binding sites known degradation rates reasonable delays fitted transcriptional parameters

Regulatory elements in clock gene promoters

Expression profiles in liver & adrenal gland A. Korencic et al., Scientific Reports 4:5782 (2014)

Core-clock model from expression profiles and promoters Anja Korencic et al., Scientific Reports 2014

Quantitative agreement of experimental data and simulations with DDEs Expression profiles were fitted by sinusoidal functions with harmonics Simulations etc.

Multiple loops can generate sustained rhythms Patrick

What are the most essential regulations? we test ON/OFF configurations of 17 regulations OFF: regulatory term is clamped to its mean out of 131072 configurations 14125 are rhythmic percentage of ON relates to relevance of regulation e.g. cyclic activation of Per2 is ON for only 2.99% but Rev-Erb inhibits Cry1 in 94.26%

Frequencies of Cyclic Regulatory Interactions Patrick Pett et al. 2015

Repressilator genes are essential for clock

Serial repression via Cry1, Rev-Erba, and Per2 confirmed

Lessons from Modeling How to design a minimal core clock model? - Five genes represent most regulations - DDEs require few parameters - Transcriptional regulations remain heuristic - Per/Cry loop, Rev-Erba loop and repressilator possible

Synchronization of sloppy oscillators

Sloppy oscillators synchronize well independent of specific coupling scheme S. Bernard, D. Gonze, B. Cajavec, H. Herzel, and A. Kramer: Synchronization-Induced Rhythmicity of Circadian Oscillators in the Suprachiasmatic Nucleus, PLoS Comp. Biol. (2007) 3:e68.

Damped oscillators synchronize well independent of specific coupling scheme S. Bernard, D. Gonze, B. Cajavec, H. Herzel, and A. Kramer: Synchronization-Induced Rhythmicity of Circadian Oscillators in the Suprachiasmatic Nucleus, PLoS Comp. Biol. (2007) 3:e68.

Coupling phase controls synchronization Implications for dual role of GABA (J. Evans, Neuron 2013) and synchrony of neonatal versus adult SCN slices (Honma, Nature Communications 2013) B. Ananthasubramaniam, E. D. Herzog, H. Herzel. PLoS Comp. Biol. 2014

Coupling can even synchronize Cry-DKO neonatal SCN D. Ono, S. Honma, K. Honma Nature Communications 2013

Synchronization of noisy oscillators (WT and DKO) CV about 1 CV above 1 Better sync for WT Coupling strength enhances sync Coupling phase matters strongly I.T.Tokuda et al. Biophys J.

Zeitgeber Light Temperatur e Food The environmental external oscillator entrains our internal oscillator (the circadian clock)

The organization of the circadian system

Light synchronizes the clock SCN-neuron nucleus The system Positive elements activation Clock genes (e.g. Period2) inhibition Regulation of physiology and behavior Negative elements Synchronization of peripheral clocks

The circadian oscillator Circadian rhythm Oscillations Oster et al., 2002 Reppert and Weaver, 2001 Feedback loops