Literature DB >> 27444022

Protein sequestration versus Hill-type repression in circadian clock models.

Jae Kyoung Kim1.   

Abstract

Circadian (∼24 h) clocks are self-sustained endogenous oscillators with which organisms keep track of daily and seasonal time. Circadian clocks frequently rely on interlocked transcriptional-translational feedback loops to generate rhythms that are robust against intrinsic and extrinsic perturbations. To investigate the dynamics and mechanisms of the intracellular feedback loops in circadian clocks, a number of mathematical models have been developed. The majority of the models use Hill functions to describe transcriptional repression in a way that is similar to the Goodwin model. Recently, a new class of models with protein sequestration-based repression has been introduced. Here, the author discusses how this new class of models differs dramatically from those based on Hill-type repression in several fundamental aspects: conditions for rhythm generation, robust network designs and the periods of coupled oscillators. Consistently, these fundamental properties of circadian clocks also differ among Neurospora, Drosophila, and mammals depending on their key transcriptional repression mechanisms (Hill-type repression or protein sequestration). Based on both theoretical and experimental studies, this review highlights the importance of careful modelling of transcriptional repression mechanisms in molecular circadian clocks.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27444022      PMCID: PMC8687308          DOI: 10.1049/iet-syb.2015.0090

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  183 in total

1.  Transcriptional feedback of Neurospora circadian clock gene by phosphorylation-dependent inactivation of its transcription factor.

Authors:  Tobias Schafmeier; Andrea Haase; Krisztina Káldi; Johanna Scholz; Marc Fuchs; Michael Brunner
Journal:  Cell       Date:  2005-07-29       Impact factor: 41.582

2.  Amplitude of circadian oscillations entrained by 24-h light-dark cycles.

Authors:  Gen Kurosawa; Albert Goldbeter
Journal:  J Theor Biol       Date:  2006-03-28       Impact factor: 2.691

3.  Avian hairy gene expression identifies a molecular clock linked to vertebrate segmentation and somitogenesis.

Authors:  I Palmeirim; D Henrique; D Ish-Horowicz; O Pourquié
Journal:  Cell       Date:  1997-11-28       Impact factor: 41.582

4.  Distinct roles for GABA across multiple timescales in mammalian circadian timekeeping.

Authors:  Daniel DeWoskin; Jihwan Myung; Mino D C Belle; Hugh D Piggins; Toru Takumi; Daniel B Forger
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-30       Impact factor: 11.205

5.  Mathematical modeling and validation of glucose compensation of the neurospora circadian clock.

Authors:  Andrey A Dovzhenok; Mokryun Baek; Sookkyung Lim; Christian I Hong
Journal:  Biophys J       Date:  2015-04-07       Impact factor: 4.033

Review 6.  Multiscale complexity in the mammalian circadian clock.

Authors:  Yr Yamada; Db Forger
Journal:  Curr Opin Genet Dev       Date:  2010-12       Impact factor: 5.578

7.  Temperature compensation and temperature sensation in the circadian clock.

Authors:  Philip B Kidd; Michael W Young; Eric D Siggia
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

8.  GABA networks destabilize genetic oscillations in the circadian pacemaker.

Authors:  G Mark Freeman; Rebecca M Krock; Sara J Aton; Paul Thaben; Erik D Herzog
Journal:  Neuron       Date:  2013-06-05       Impact factor: 17.173

9.  Synthetic in vitro transcriptional oscillators.

Authors:  Jongmin Kim; Erik Winfree
Journal:  Mol Syst Biol       Date:  2011-02-01       Impact factor: 11.429

10.  Manipulating circadian clock neuron firing rate resets molecular circadian rhythms and behavior.

Authors:  Jeff R Jones; Michael C Tackenberg; Douglas G McMahon
Journal:  Nat Neurosci       Date:  2015-02-02       Impact factor: 28.771

View more
  27 in total

1.  Computational and experimental insights into the circadian effects of SIRT1.

Authors:  Panagiota T Foteinou; Anand Venkataraman; Lauren J Francey; Ron C Anafi; John B Hogenesch; Francis J Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-22       Impact factor: 11.205

2.  Revisiting a synthetic intracellular regulatory network that exhibits oscillations.

Authors:  Jonathan Tyler; Anne Shiu; Jay Walton
Journal:  J Math Biol       Date:  2019-03-30       Impact factor: 2.259

3.  Model-driven experimental approach reveals the complex regulatory distribution of p53 by the circadian factor Period 2.

Authors:  Tetsuya Gotoh; Jae Kyoung Kim; Jingjing Liu; Marian Vila-Caballer; Philip E Stauffer; John J Tyson; Carla V Finkielstein
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-09       Impact factor: 11.205

4.  Mathematical Modeling in Circadian Rhythmicity.

Authors:  Marta Del Olmo; Saskia Grabe; Hanspeter Herzel
Journal:  Methods Mol Biol       Date:  2022

5.  Stability of Wake-Sleep Cycles Requires Robust Degradation of the PERIOD Protein.

Authors:  Matthew D'Alessandro; Stephen Beesley; Jae Kyoung Kim; Zachary Jones; Rongmin Chen; Julie Wi; Kathleen Kyle; Daniel Vera; Michele Pagano; Richard Nowakowski; Choogon Lee
Journal:  Curr Biol       Date:  2017-11-02       Impact factor: 10.834

6.  Synchronizing stochastic circadian oscillators in single cells of Neurospora crassa.

Authors:  Zhaojie Deng; Sam Arsenault; Cristian Caranica; James Griffith; Taotao Zhu; Ahmad Al-Omari; Heinz-Bernd Schüttler; Jonathan Arnold; Leidong Mao
Journal:  Sci Rep       Date:  2016-10-27       Impact factor: 4.379

Review 7.  Systems Biology-Derived Discoveries of Intrinsic Clocks.

Authors:  Arthur Millius; Hiroki R Ueda
Journal:  Front Neurol       Date:  2017-02-06       Impact factor: 4.003

8.  Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters.

Authors:  Boseung Choi; Grzegorz A Rempala; Jae Kyoung Kim
Journal:  Sci Rep       Date:  2017-12-05       Impact factor: 4.379

9.  Reduction of multiscale stochastic biochemical reaction networks using exact moment derivation.

Authors:  Jae Kyoung Kim; Eduardo D Sontag
Journal:  PLoS Comput Biol       Date:  2017-06-05       Impact factor: 4.475

10.  Understanding non-linear effects from Hill-type dynamics with application to decoding of p53 signaling.

Authors:  Xiaomin Shi; Jeffrey R Reimers
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.