Biology – Quantitative Biology – Molecular Networks
Scientific paper
2007-08-02
Biology
Quantitative Biology
Molecular Networks
Latex, 13 pages, 4 figures
Scientific paper
Recently, several studies have investigated the transcription process associated to specific genetic regulatory networks. In this work, we present a stochastic approach for analyzing the dynamics and effect of negative feedback loops (FBL) on the transcriptional noise. First, our analysis allows us to identify a bimodal activity depending of the strength of self-repression coupling D. In the strong coupling region D>>1, the variance of the transcriptional noise is found to be reduced a 28 % more than described earlier. Secondly, the contribution of the noise effect to the abundance of regulating protein becomes manifest when the coefficient of variation is computed. In the strong coupling region, this coefficient is found to be independent of all parameters and in fair agreement with the experimentally observed values. Finally, our analysis reveals that the regulating protein is significantly induced by the intrinsic and external noise in the strong coupling region. In short, it indicates that the existence of inherent noise in FBL makes it possible to produce a basal amount of proteins even though the repression level D is very strong.
Nacher Jose C.
Ochiai Tadashi
No associations
LandOfFree
Transcription and noise in negative feedback loops does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Transcription and noise in negative feedback loops, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Transcription and noise in negative feedback loops will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-245133