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Control of internal and external noise in genetic regulatory networks

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Title: Control of internal and external noise in genetic regulatory networks
Authors: Orrell, David dorrell@systemsbiology.org, Bolouri, Hamid1
Source: Journal of Theoretical Biology. Oct2004, Vol. 230 Issue 3, p301-312. 12p.
Subjects: Gene expression, Genetic regulation, Bifurcation theory, Stochastic analysis
Abstract: Positive and negative feedback loops, for example, where a protein regulates its own transcription, play an important role in many genetic regulatory networks. Such systems will be subject to internal noise, which occurs due to the small number of molecules taking part in some reactions. This paper examines the effect of feedback loops on noise levels. Error growth techniques from nonlinear dynamics are used to estimate the variance of a system around a steady-state attractor. It is shown that variablity due to intrinsic stochasticity is directly linked to the stability of the steady state, and therefore to the system''s resistance to external perturbations. The methods are demonstrated for a number of simple systems, including a genetic switch with homo-dimerizing regulatory protein, and an oscillator. [Copyright &y& Elsevier]
Copyright of Journal of Theoretical Biology is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Control of internal and external noise in genetic regulatory networks
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  Data: <searchLink fieldCode="AR" term="%22Orrell%2C+David%22">Orrell, David</searchLink><i> dorrell@systemsbiology.org</i><br /><searchLink fieldCode="AR" term="%22Bolouri%2C+Hamid%22">Bolouri, Hamid</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Theoretical+Biology%22">Journal of Theoretical Biology</searchLink>. Oct2004, Vol. 230 Issue 3, p301-312. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Gene+expression%22">Gene expression</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+regulation%22">Genetic regulation</searchLink><br /><searchLink fieldCode="DE" term="%22Bifurcation+theory%22">Bifurcation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink>
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  Label: Abstract
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  Data: Positive and negative feedback loops, for example, where a protein regulates its own transcription, play an important role in many genetic regulatory networks. Such systems will be subject to internal noise, which occurs due to the small number of molecules taking part in some reactions. This paper examines the effect of feedback loops on noise levels. Error growth techniques from nonlinear dynamics are used to estimate the variance of a system around a steady-state attractor. It is shown that variablity due to intrinsic stochasticity is directly linked to the stability of the steady state, and therefore to the system''s resistance to external perturbations. The methods are demonstrated for a number of simple systems, including a genetic switch with homo-dimerizing regulatory protein, and an oscillator. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Journal of Theoretical Biology is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.jtbi.2004.05.013
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      – Code: eng
        Text: English
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      – SubjectFull: Gene expression
        Type: general
      – SubjectFull: Genetic regulation
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      – SubjectFull: Bifurcation theory
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      – SubjectFull: Stochastic analysis
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      – TitleFull: Control of internal and external noise in genetic regulatory networks
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            NameFull: Orrell, David
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              Text: Oct2004
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