Tao Yi
Centre for Structural and Functional Genomics, Concordia University, Montreal, Quebec, Canada H3G 3J7.
J Theor Biol. 2004 Jul 21;229(2):147-56. doi: 10.1016/j.jtbi.2004.03.011.
A single gene auto-regulatory network is analysed. The main goal is to investigate the effects of the negative and positive feedbacks on the intrinsic and external noises. The central finding of this paper is that: for the intrinsic noise, both the negative and positive feedback regulations increase the fluctuation strength of mRNA levels (where the fluctuation strength is measured by the Fano factor for both the fluctuations of mRNAs and proteins), and the negative feedback decreases, but the positive feedback increases, the fluctuation strength of proteins; for the external noise, the negative feedback not only increase the fluctuation strength of mRNA levels but also the fluctuation strength of proteins, and though the effect of the positive feedback on the fluctuation strength of mRNA levels depends on the size of positive feedback parameter k, the positive feedback must decrease the fluctuation strength of proteins.
分析了一个单基因自调控网络。主要目标是研究正负反馈对内在噪声和外在噪声的影响。本文的核心发现是:对于内在噪声,正负反馈调节均会增加mRNA水平的波动强度(其中波动强度通过mRNA和蛋白质波动的Fano因子来衡量),负反馈会降低蛋白质的波动强度,而正反馈会增加蛋白质的波动强度;对于外在噪声,负反馈不仅会增加mRNA水平的波动强度,还会增加蛋白质的波动强度,尽管正反馈对mRNA水平波动强度的影响取决于正反馈参数k的大小,但正反馈必定会降低蛋白质的波动强度。