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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

Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

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Page 1: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

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

Hanspeter HerzelInstitute for Theoretical Biology (ITB)

Charité and Humboldt University Berlin

Page 2: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

3rd ventricle

optic chiasm

Synchronization

clock-genes(e.g. Period2)

positiveelements

activation

nucleus

SCN-neuron

negativeelements

inhibition

Oscillation

Molecular Chronobiology

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Clock genes and feedback loops

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The core clock in Drosophila – negative and positive feedback

loops

D. Bell-Pedersen et al. 2005

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The core clock in mammals

D. Bell-Pedersen et al. 2005

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Limits of quantitative models

single cellsadvanced 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

models data

Relogio et al. PLoS Comp. Biol. 2011 Abraham, Schlichting et al., in revision

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Limits of quantitative models

neuronal networksnetwork models with heterogeneity ,different coupling schemes etc.

• movies with waves and tides

• multiple coupling mechanisms debated

• some PRCs (VIP, AVP, optogenetics…)

• splitting rare

models data

Bernard et al. PLoS Comp. Biol. 2007 Yamaguchi et al., Science 2003

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Limits of quantitative models

on organismic level• long actograms• many PRCs incl. dead zones• entrainment/jetlag protocols• saisonal variations

models data

Aschoff and Pohl, 1978

Page 9: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

Challengegenetic feedback + coupling network modelsmodels

Page 10: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

Challengegenetic feedback + coupling network modelsmodels 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

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Complex network dynamicsin insects as well

Page 12: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

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

Page 13: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

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?

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E-boxes, ROR-elements and D-boxes drive clock genes

H Ukai, HR Ueda: Annu Rev Physiol 72: 579-603 (2010)

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Science 19, 349-354, 2012

Page 17: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

D. Bell-Pedersen et al. 2005

Negative feedbacks as a common design principle

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Delayed nuclear import in DrosophilaP. Meyer, L. Saez, M. W. Young, Science 2006

J.C. Dunlap 2006

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FASPS: Per phosphorylation controls delay

Vanselow et al., Genes & Dev, 2006

mass spec.

Entrainment6 days 35/39° C

Constant37° C

0 1 2 3

Rel

. lum

ines

cenc

e PER2 wtFASPS

Time (days)

live cellimaging

+CHX

PER2 wt

β-Actin

FASPS

β-Actin

0 0.5 1 2 3 4 6 8 h

bio-chemistry

Measurements

cellbiology

wild-typeq1 = 0q12 = 0.75

Time (days)0 1 2 3 4 N

orm

aliz

ed c

once

ntra

tion

Model prediction Test of predictionMathematical Model

Time (days)1 2 3 4 5 6

Rel

. lum

ines

cenc

e

solventCKI-7 (50 µM)CKI-7 (200 µM)

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Jin Young Kim et al. 2014

Huge protein complexes regulate transcription

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B. Ananthasubramaniam et al. 2014

Synergy of negative (orange) and positive (blue) regulations

Page 22: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

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….)

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Negative PER/CRY Loop in Early Models

Forger, Peskin PNAS 2003

Leloup, Goldbeter PNAS 2003

Becker-Weimann Biophys. J. 2004

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Both loops can generate rhythms

Relogio et al. PLoS Comp. Biol. 2011

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by courtesy of Marc Lefranc

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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

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Regulatory elements in clock gene promoters

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A. Korencic et al., Scientific Reports 4:5782 (2014)

Expression profiles in liver & adrenal gland

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Anja Korencic et al., Scientific Reports 2014

Core-clock model from expression profiles and promoters

Page 31: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

Quantitative agreement of experimental data and simulations with DDEs

Expression profiles were fitted by sinusoidal functions with harmonics

Simulations

etc.

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Multiple loops can generate sustained rhythms

Patrick Pett

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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%

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Frequencies of Cyclic Regulatory Interactions

Patrick Pett et al. 2015

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„Repressilator genes“ are essential for clock

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

Page 37: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

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

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Synchronization of sloppy oscillators

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Sloppy oscillators synchronize wellindependent 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.

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Damped oscillators synchronize wellindependent 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.

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B. Ananthasubramaniam, E. D. Herzog, H. Herzel. PLoS Comp. Biol. 2014

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)

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Coupling can even synchronize Cry-DKO neonatal SCN

D. Ono, S. Honma, K. HonmaNature Communications 2013

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I.T.Tokuda et al. Biophys J. 2015

Synchronization of noisy oscillators (WT and DKO)

CV about 1

CV above 1

Better sync for WT

Coupling strengthenhances sync

Coupling phasematters strongly

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The environmental external oscillator entrains our internal oscillator

(the circadian clock)

Zeitgeber

LightTemperatur

eFood

Page 45: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

The organization of the circadian system

Page 46: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

Light synchronizesthe clock

Regulation ofphysiology and behavior

Clock genes(e.g. Period2)

Positiveelements

activation

nucleus

SCN-neuron

Negativeelements

inhibition

Synchronization ofperipheral clocks

The system

Page 47: Modeling Rhythms on Differents Levels: Cells, Tissues, and … · 2017-01-26 · Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for

The circadian oscillator

Circadian rhythm

Oster et al., 2002

Feedback loopsOscillations

Reppert and Weaver, 2001