DocumentCode :
1553929
Title :
Mathematical modelling of negative feedback regulation by carboxyltransferase
Author :
Meades, G. ; Cai, Xiaobin ; Thalji, N.K. ; Waldrop, G.L. ; De Queiroz, Marcio
Author_Institution :
Div. of Biochem. & Mol. Biol., Louisiana State Univ., Baton Rouge, LA, USA
Volume :
5
Issue :
3
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
220
Lastpage :
228
Abstract :
Acetyl-CoA carboxylase catalyses the first committed step in fatty acid synthesis in all organisms. The chemistry is accomplished in two half-reactions: activation of biotin via carboxylation by biotin carboxylase, followed by the carboxyltransferase-catalysed transfer of the carboxyl moiety from carboxybiotin to acetyl-CoA to generate malonyl-CoA. The Escherichia coli form of the carboxyltransferase subunit was recently found to regulate its own activity and expression by binding its own mRNA. By binding acetyl-CoA or the mRNA encoding its own subunits, carboxyltransferase is able to sense the metabolic state of the cell and attenuate its own translation and enzymatic activity using a negative feedback mechanism. Here, the network of these interactions is modelled mathematically with a set of non-linear differential equations. Numerical simulations of the model show that it qualitatively and quantitatively agrees with the experimental results for both inhibition of carboxyltransferase by mRNA and attenuation of translation. The modelling of the autoregulatory function of carboxyltransferase confirms that it is more than isolated interactions, but functions as a single dynamic system.
Keywords :
biochemistry; catalysis; enzymes; feedback; nonlinear differential equations; Acetyl-CoA carboxylase; Escherichia coli form; biotin activation; biotin carboxylase; carboxyl moiety; carboxylation; carboxyltransferase; catalysis; enzymatic activity; fatty acid synthesis; half-reactions; inhibition; mRNA binding; malonyl-CoA; mathematical modelling; metabolic state; negative feedback mechanism; negative feedback regulation; nonlinear differential equations;
fLanguage :
English
Journal_Title :
Systems Biology, IET
Publisher :
iet
ISSN :
1751-8849
Type :
jour
DOI :
10.1049/iet-syb.2010.0071
Filename :
5876190
Link To Document :
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