Literature DB >> 23686434

The role of dimerisation and nuclear transport in the Hes1 gene regulatory network.

Marc Sturrock1, Andreas Hellander, Sahar Aldakheel, Linda Petzold, Mark A J Chaplain.   

Abstract

Hes1 is a member of the family of basic helix-loop-helix transcription factors and the Hes1 gene regulatory network (GRN) may be described as the canonical example of transcriptional control in eukaryotic cells, since it involves only the Hes1 protein and its own mRNA. Recently, the Hes1 protein has been established as an excellent target for an anti-cancer drug treatment, with the design of a small molecule Hes1 dimerisation inhibitor representing a promising if challenging approach to therapy. In this paper, we extend a previous spatial stochastic model of the Hes1 GRN to include nuclear transport and dimerisation of Hes1 monomers. Initially, we assume that dimerisation occurs only in the cytoplasm, with only dimers being imported into the nucleus. Stochastic simulations of this novel model using the URDME software show that oscillatory dynamics in agreement with experimental studies are retained. Furthermore, we find that our model is robust to changes in the nuclear transport and dimerisation parameters. However, since the precise dynamics of the nuclear import of Hes1 and the localisation of the dimerisation reaction are not known, we consider a second modelling scenario in which we allow for both Hes1 monomers and dimers to be imported into the nucleus, and we allow dimerisation of Hes1 to occur everywhere in the cell. Once again, computational solutions of this second model produce oscillatory dynamics in agreement with experimental studies. We also explore sensitivity of the numerical solutions to nuclear transport and dimerisation parameters. Finally, we compare and contrast the two different modelling scenarios using numerical experiments that simulate dimer disruption, and suggest a biological experiment that could distinguish which model more faithfully captures the Hes1 GRN.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23686434      PMCID: PMC3999905          DOI: 10.1007/s11538-013-9842-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  57 in total

1.  Truncated form of importin alpha identified in breast cancer cell inhibits nuclear import of p53.

Authors:  I S Kim; D H Kim; S M Han; M U Chin; H J Nam; H P Cho; S Y Choi; B J Song; E R Kim; Y S Bae; Y H Moon
Journal:  J Biol Chem       Date:  2000-07-28       Impact factor: 5.157

2.  Sustained oscillations and time delays in gene expression of protein Hes1.

Authors:  M H Jensen; K Sneppen; G Tiana
Journal:  FEBS Lett       Date:  2003-04-24       Impact factor: 4.124

3.  Pattern formation inside bacteria: fluctuations due to the low copy number of proteins.

Authors:  Martin Howard; Andrew D Rutenberg
Journal:  Phys Rev Lett       Date:  2003-03-27       Impact factor: 9.161

4.  Oscillatory expression of Hes1, p53, and NF-kappaB driven by transcriptional time delays.

Authors:  Nicholas A M Monk
Journal:  Curr Biol       Date:  2003-08-19       Impact factor: 10.834

5.  Spatio-temporal correlations can drastically change the response of a MAPK pathway.

Authors:  Koichi Takahashi; Sorin Tanase-Nicola; Pieter Rein ten Wolde
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-25       Impact factor: 11.205

6.  Modelling transcriptional feedback loops: the role of Gro/TLE1 in Hes1 oscillations.

Authors:  Samuel Bernard; Branka Cajavec; Laurent Pujo-Menjouet; Michael C Mackey; Hanspeter Herzel
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2006-05-15       Impact factor: 4.226

7.  Depletion of a single nucleoporin, Nup107, induces apoptosis in eukaryotic cells.

Authors:  Hirendra Nath Banerjee; Jaqluene Gibbs; Tiffany Jordan; Millon Blackshear
Journal:  Mol Cell Biochem       Date:  2010-05-20       Impact factor: 3.396

8.  Control of the reversibility of cellular quiescence by the transcriptional repressor HES1.

Authors:  Liyun Sang; Hilary A Coller; James M Roberts
Journal:  Science       Date:  2008-08-22       Impact factor: 47.728

9.  Oscillations and variability in the p53 system.

Authors:  Naama Geva-Zatorsky; Nitzan Rosenfeld; Shalev Itzkovitz; Ron Milo; Alex Sigal; Erez Dekel; Talia Yarnitzky; Yuvalal Liron; Paz Polak; Galit Lahav; Uri Alon
Journal:  Mol Syst Biol       Date:  2006-06-13       Impact factor: 11.429

10.  Stat1 nuclear translocation by nucleolin upon monocyte differentiation.

Authors:  Uwe Jerke; Sergey Tkachuk; Julia Kiyan; Victoria Stepanova; Angelika Kusch; Michael Hinz; Rainer Dietz; Hermann Haller; Bianca Fuhrman; Inna Dumler
Journal:  PLoS One       Date:  2009-12-14       Impact factor: 3.240

View more
  17 in total

1.  Reaction rates for a generalized reaction-diffusion master equation.

Authors:  Stefan Hellander; Linda Petzold
Journal:  Phys Rev E       Date:  2016-01-19       Impact factor: 2.529

2.  MOLNs: A CLOUD PLATFORM FOR INTERACTIVE, REPRODUCIBLE, AND SCALABLE SPATIAL STOCHASTIC COMPUTATIONAL EXPERIMENTS IN SYSTEMS BIOLOGY USING PyURDME.

Authors:  Brian Drawert; Michael Trogdon; Salman Toor; Linda Petzold; Andreas Hellander
Journal:  SIAM J Sci Comput       Date:  2016-06-01       Impact factor: 2.373

3.  Editorial: special issue on stochastic modelling of reaction-diffusion processes in biology.

Authors:  Radek Erban; Hans G Othmer
Journal:  Bull Math Biol       Date:  2014-04       Impact factor: 1.758

4.  Mean field analysis of a spatial stochastic model of a gene regulatory network.

Authors:  M Sturrock; P J Murray; A Matzavinos; M A J Chaplain
Journal:  J Math Biol       Date:  2014-10-17       Impact factor: 2.259

5.  Reaction rates for mesoscopic reaction-diffusion kinetics.

Authors:  Stefan Hellander; Andreas Hellander; Linda Petzold
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-02-23

6.  Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning.

Authors:  Fredrik Wrede; Andreas Hellander
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

7.  Reaction rates for reaction-diffusion kinetics on unstructured meshes.

Authors:  Stefan Hellander; Linda Petzold
Journal:  J Chem Phys       Date:  2017-02-14       Impact factor: 3.488

8.  Mesoscopic-microscopic spatial stochastic simulation with automatic system partitioning.

Authors:  Stefan Hellander; Andreas Hellander; Linda Petzold
Journal:  J Chem Phys       Date:  2017-12-21       Impact factor: 3.488

9.  Revisiting the Reduction of Stochastic Models of Genetic Feedback Loops with Fast Promoter Switching.

Authors:  James Holehouse; Ramon Grima
Journal:  Biophys J       Date:  2019-08-27       Impact factor: 4.033

10.  Local error estimates for adaptive simulation of the Reaction-Diffusion Master Equation via operator splitting.

Authors:  Andreas Hellander; Michael J Lawson; Brian Drawert; Linda Petzold
Journal:  J Comput Phys       Date:  2014-06-01       Impact factor: 3.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.