Literature DB >> 17664651

Oscillations and temporal signalling in cells.

G Tiana1, S Krishna, S Pigolotti, M H Jensen, K Sneppen.   

Abstract

The development of new techniques to quantitatively measure gene expression in cells has shed light on a number of systems that display oscillations in protein concentration. Here we review the different mechanisms which can produce oscillations in gene expression or protein concentration using a framework of simple mathematical models. We focus on three eukaryotic genetic regulatory networks which show 'ultradian' oscillations, with a time period of the order of hours, and involve, respectively, proteins important for development (Hes1), apoptosis (p53) and immune response (NF-kappaB). We argue that underlying all three is a common design consisting of a negative feedback loop with time delay which is responsible for the oscillatory behaviour.

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Year:  2007        PMID: 17664651     DOI: 10.1088/1478-3975/4/2/R01

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  33 in total

1.  Transcription factor oscillations induce differential gene expressions.

Authors:  Keng Boon Wee; Wee Kheng Yio; Uttam Surana; Keng Hwee Chiam
Journal:  Biophys J       Date:  2012-06-05       Impact factor: 4.033

2.  Design principles for robust oscillatory behavior.

Authors:  Sebastian M Castillo-Hair; Elizabeth R Villota; Alberto M Coronado
Journal:  Syst Synth Biol       Date:  2015-08-05

3.  Influence of parameter values on the oscillation sensitivities of two p53-Mdm2 models.

Authors:  Christian E Cuba; Alexander R Valle; Giancarlo Ayala-Charca; Elizabeth R Villota; Alberto M Coronado
Journal:  Syst Synth Biol       Date:  2015-06-05

4.  Delayed coupling theory of vertebrate segmentation.

Authors:  Luis G Morelli; Saúl Ares; Leah Herrgen; Christian Schröter; Frank Jülicher; Andrew C Oates
Journal:  HFSP J       Date:  2008-12-10

5.  Mapping global sensitivity of cellular network dynamics: sensitivity heat maps and a global summation law.

Authors:  D A Rand
Journal:  J R Soc Interface       Date:  2008-08-06       Impact factor: 4.118

6.  Delay-induced anomalous fluctuations in intracellular regulation.

Authors:  Andreas Grönlund; Per Lötstedt; Johan Elf
Journal:  Nat Commun       Date:  2011-08-09       Impact factor: 14.919

7.  A semi-mechanistic integrated toxicokinetic-toxicodynamic (TK/TD) model for arsenic(III) in hepatocytes.

Authors:  Spyros K Stamatelos; Ioannis P Androulakis; Ah-Ng Tony Kong; Panos G Georgopoulos
Journal:  J Theor Biol       Date:  2012-10-12       Impact factor: 2.691

8.  A synthetic low-frequency mammalian oscillator.

Authors:  Marcel Tigges; Nicolas Dénervaud; David Greber; Joerg Stelling; Martin Fussenegger
Journal:  Nucleic Acids Res       Date:  2010-03-02       Impact factor: 16.971

9.  Avoiding transcription factor competition at promoter level increases the chances of obtaining oscillation.

Authors:  Andreea Munteanu; Marco Constante; Mark Isalan; Ricard V Solé
Journal:  BMC Syst Biol       Date:  2010-05-17

10.  Computational inference and analysis of genetic regulatory networks via a supervised combinatorial-optimization pattern.

Authors:  Binhua Tang; Xuechen Wu; Ge Tan; Su-Shing Chen; Qing Jing; Bairong Shen
Journal:  BMC Syst Biol       Date:  2010-09-13
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