Literature DB >> 23527779

Modeling gene expression in time and space.

Pau Rué1, Jordi Garcia-Ojalvo.   

Abstract

Cell populations rarely exhibit gene-expression profiles that are homogeneous in time and space. In the temporal domain, dynamical behaviors such as oscillations and pulses of protein production pervade cell biology, underlying phenomena as diverse as circadian rhythmicity, cell cycle control, stress and damage responses, and stem-cell pluripotency. In multicellular populations, spatial heterogeneities are crucial for decision making and development, among many other functions. Cells need to exquisitely coordinate this temporal and spatial variation to survive. Although the spatiotemporal character of gene expression is challenging to quantify experimentally at the level of individual cells, it is beneficial from the modeling viewpoint, because it provides strong constraints that can be probed by theoretically analyzing mathematical models of candidate gene and protein circuits. Here, we review recent examples of temporal dynamics and spatial patterning in gene expression to show how modeling such phenomenology can help us unravel the molecular mechanisms of cellular function.

Mesh:

Year:  2013        PMID: 23527779     DOI: 10.1146/annurev-biophys-083012-130335

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   12.981


  9 in total

1.  Elements of biological oscillations in time and space.

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Journal:  Nat Struct Mol Biol       Date:  2016-12-06       Impact factor: 15.369

2.  p21WAF1/Cip1 - PCNA: Fatal attraction.

Authors:  Panagiotis Galanos; George Pappas; Vassilis G Gorgoulis
Journal:  Cell Cycle       Date:  2016-08-11       Impact factor: 4.534

Review 3.  Functional roles of pulsing in genetic circuits.

Authors:  Joe H Levine; Yihan Lin; Michael B Elowitz
Journal:  Science       Date:  2013-12-06       Impact factor: 47.728

Review 4.  Evolving gene regulatory networks into cellular networks guiding adaptive behavior: an outline how single cells could have evolved into a centralized neurosensory system.

Authors:  Bernd Fritzsch; Israt Jahan; Ning Pan; Karen L Elliott
Journal:  Cell Tissue Res       Date:  2014-11-23       Impact factor: 5.249

5.  A general model for toxin-antitoxin module dynamics can explain persister cell formation in E. coli.

Authors:  Lendert Gelens; Lydia Hill; Alexandra Vandervelde; Jan Danckaert; Remy Loris
Journal:  PLoS Comput Biol       Date:  2013-08-29       Impact factor: 4.475

6.  A multiscale model of early cell lineage specification including cell division.

Authors:  Alen Tosenberger; Didier Gonze; Sylvain Bessonnard; Michel Cohen-Tannoudji; Claire Chazaud; Geneviève Dupont
Journal:  NPJ Syst Biol Appl       Date:  2017-06-09

7.  microRNA as a potential vector for the propagation of robustness in protein expression and oscillatory dynamics within a ceRNA network.

Authors:  Claude Gérard; Béla Novák
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

Review 8.  Misuse of the Michaelis-Menten rate law for protein interaction networks and its remedy.

Authors:  Jae Kyoung Kim; John J Tyson
Journal:  PLoS Comput Biol       Date:  2020-10-22       Impact factor: 4.475

Review 9.  Hormonal crosstalk for root development: a combined experimental and modeling perspective.

Authors:  Junli Liu; James Rowe; Keith Lindsey
Journal:  Front Plant Sci       Date:  2014-03-27       Impact factor: 5.753

  9 in total

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