Team:TU-Eindhoven/StochasticModel

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The model of decoy sites consists of two reactions, i.e., the transcriptional factor binding to decoy sites and to promoter sites. The schematic graph of this model is illustrated in {{:Team:TU-Eindhoven/Template:Figure | id=FNRModelSchematics }}. The reactions are:
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The model of decoy sites consists of two reactions, i.e., the transcriptional factor binding to decoy sites and to promoter sites. The schematic graph of this model is illustrated in {{:Team:TU-Eindhoven/Template:Figure | id=DecoyModelSchematics }}. The reactions are:
{{:Team:TU-Eindhoven/Template:Image | filename=DecoyReactions.png}}
{{:Team:TU-Eindhoven/Template:Image | filename=DecoyReactions.png}}

Revision as of 12:15, 13 August 2013

Contents

Decoy Sites

To tune the level of protein expression, we used decoy sites. Decoy sites are tandem repeats of DNA where transcriptional factor can bind to but don't promote gene expression. Therefore it competes with promoter sites and lowers the gene expression rate. LeeDecoyTek-Hyung Lee and Narendra Maheshri, A regulatory role for repeated decoy transcription factor binding sites in target gene expression. Molecular Systems Biology 8, 576 (2012)

The Model

Decoy Sites

TU-Eindhoven Images Decoy.png
DecoyModelSchematics Schematic of the Decoy model
The model of decoy sites consists of two reactions, i.e., the transcriptional factor binding to decoy sites and to promoter sites. The schematic graph of this model is illustrated in . The reactions are: TU-Eindhoven Images DecoyReactions.png

The T is the transcriptional factor, which is FNR. It can binds to either the decoy sites(N) or the promoter(P). The production and degradation of T is included in the FNR model.

Copy Number

Protein Expression Rate

Simulation Result

The input is the concentration of FNR protein. This result is taken from the part of FNR protein and converted from micro molar concentrations to number of molecules.

TU-Eindhoven Images stochFNR.png

The simulated result of decoy site binding ratio

TU-Eindhoven Images decoyBindingRatio.png The simulated result of promoter binding ratio

TU-Eindhoven Images promoterBindingRatio.png This would be the input for the modeling of protein generation. We assume the protein production rate is linear to the promoter binding ratio.LeeDecoy

References