Literature DB >> 18793122

Modelling reaction kinetics inside cells.

Ramon Grima1, Santiago Schnell.   

Abstract

In the past decade, advances in molecular biology such as the development of non-invasive single molecule imaging techniques have given us a window into the intricate biochemical activities that occur inside cells. In this chapter we review four distinct theoretical and simulation frameworks: (i) non-spatial and deterministic, (ii) spatial and deterministic, (iii) non-spatial and stochastic and (iv) spatial and stochastic. Each framework can be suited to modelling and interpreting intracellular reaction kinetics. By estimating the fundamental length scales, one can roughly determine which models are best suited for the particular reaction pathway under study. We discuss differences in prediction between the four modelling methodologies. In particular we show that taking into account noise and space does not simply add quantitative predictive accuracy but may also lead to qualitatively different physiological predictions, unaccounted for by classical deterministic models.

Mesh:

Year:  2008        PMID: 18793122      PMCID: PMC2737326          DOI: 10.1042/BSE0450041

Source DB:  PubMed          Journal:  Essays Biochem        ISSN: 0071-1365            Impact factor:   8.000


  51 in total

1.  Anomalous diffusion of fluorescent probes inside living cell nuclei investigated by spatially-resolved fluorescence correlation spectroscopy.

Authors:  M Wachsmuth; W Waldeck; J Langowski
Journal:  J Mol Biol       Date:  2000-05-12       Impact factor: 5.469

2.  Molecular discreteness in reaction-diffusion systems yields steady states not seen in the continuum limit.

Authors:  Yuichi Togashi; Kunihiko Kaneko
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-08-23

3.  Stochastic amplification and signaling in enzymatic futile cycles through noise-induced bistability with oscillations.

Authors:  Michael Samoilov; Sergey Plyasunov; Adam P Arkin
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-08       Impact factor: 11.205

4.  Stochastic simulation of chemical reactions with spatial resolution and single molecule detail.

Authors:  Steven S Andrews; Dennis Bray
Journal:  Phys Biol       Date:  2004-12       Impact factor: 2.583

5.  Single molecule measurements of repressor protein 1D diffusion on DNA.

Authors:  Y M Wang; Robert H Austin; Edward C Cox
Journal:  Phys Rev Lett       Date:  2006-07-27       Impact factor: 9.161

6.  Ever-fluctuating single enzyme molecules: Michaelis-Menten equation revisited.

Authors:  Brian P English; Wei Min; Antoine M van Oijen; Kang Taek Lee; Guobin Luo; Hongye Sun; Binny J Cherayil; S C Kou; X Sunney Xie
Journal:  Nat Chem Biol       Date:  2005-12-25       Impact factor: 15.040

7.  In vivo nuclear magnetic resonance studies of glycolytic kinetics in Lactococcus lactis.

Authors:  A R Neves; A Ramos; M C Nunes; M Kleerebezem; J Hugenholtz; W M de Vos; J Almeida; H Santos
Journal:  Biotechnol Bioeng       Date:  1999-07-20       Impact factor: 4.530

8.  An image-based model of calcium waves in differentiated neuroblastoma cells.

Authors:  C C Fink; B Slepchenko; I I Moraru; J Watras; J C Schaff; L M Loew
Journal:  Biophys J       Date:  2000-07       Impact factor: 4.033

9.  Evidence for ectopic neurotransmission at a neuronal synapse.

Authors:  Jay S Coggan; Thomas M Bartol; Eduardo Esquenazi; Joel R Stiles; Stephan Lamont; Maryann E Martone; Darwin K Berg; Mark H Ellisman; Terrence J Sejnowski
Journal:  Science       Date:  2005-07-15       Impact factor: 47.728

Review 10.  Imaging single molecules in living cells for systems biology.

Authors:  Yasushi Sako
Journal:  Mol Syst Biol       Date:  2006-10-17       Impact factor: 11.429

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  22 in total

Review 1.  Mathematical simulation of membrane protein clustering for efficient signal transduction.

Authors:  Krishnan Radhakrishnan; Ádám Halász; Meghan M McCabe; Jeremy S Edwards; Bridget S Wilson
Journal:  Ann Biomed Eng       Date:  2012-06-06       Impact factor: 3.934

2.  Stochastic branching-diffusion models for gene expression.

Authors:  David Cottrell; Peter S Swain; Paul F Tupper
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-01       Impact factor: 11.205

3.  Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.

Authors:  M E Johnson; A Chen; J R Faeder; P Henning; I I Moraru; M Meier-Schellersheim; R F Murphy; T Prüstel; J A Theriot; A M Uhrmacher
Journal:  Mol Biol Cell       Date:  2020-11-25       Impact factor: 4.138

4.  A framework for modeling the relationship between cellular steady-state and stimulus-responsiveness.

Authors:  Paul M Loriaux; Alexander Hoffmann
Journal:  Methods Cell Biol       Date:  2012       Impact factor: 1.441

Review 5.  A multi-cell, multi-scale model of vertebrate segmentation and somite formation.

Authors:  Susan D Hester; Julio M Belmonte; J Scott Gens; Sherry G Clendenon; James A Glazier
Journal:  PLoS Comput Biol       Date:  2011-10-06       Impact factor: 4.475

Review 6.  Logic-based models in systems biology: a predictive and parameter-free network analysis method.

Authors:  Michelle L Wynn; Nikita Consul; Sofia D Merajver; Santiago Schnell
Journal:  Integr Biol (Camb)       Date:  2012-11       Impact factor: 2.192

Review 7.  Mathematical models light up plant signaling.

Authors:  Yin Hoon Chew; Robert W Smith; Harriet J Jones; Daniel D Seaton; Ramon Grima; Karen J Halliday
Journal:  Plant Cell       Date:  2014-01-30       Impact factor: 11.277

8.  Cumulative signal transmission in nonlinear reaction-diffusion networks.

Authors:  Diego A Oyarzún; Fernando López-Caamal; Míriam R García; Richard H Middleton; Andrea Y Weiße
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

9.  Investigating the robustness of the classical enzyme kinetic equations in small intracellular compartments.

Authors:  Ramon Grima
Journal:  BMC Syst Biol       Date:  2009-10-08

10.  A protein turnover signaling motif controls the stimulus-sensitivity of stress response pathways.

Authors:  Paul Michael Loriaux; Alexander Hoffmann
Journal:  PLoS Comput Biol       Date:  2013-02-28       Impact factor: 4.475

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