Department of Mathematics, University of Bristol, Bristol, BS8 1TW, UK.
Nucleic Acids Res. 2012 Aug;40(15):7084-95. doi: 10.1093/nar/gks385. Epub 2012 May 11.
The comparative ability of transcriptional and small RNA-mediated negative feedback to control fluctuations or 'noise' in gene expression remains unexplored. Both autoregulatory mechanisms usually suppress the average (mean) of the protein level and its variability across cells. The variance of the number of proteins per molecule of mean expression is also typically reduced compared with the unregulated system, but is almost never below the value of one. This relative variance often substantially exceeds a recently obtained, theoretical lower limit for biochemical feedback systems. Adding the transcriptional or small RNA-mediated control has different effects. Transcriptional autorepression robustly reduces both the relative variance and persistence (lifetime) of fluctuations. Both benefits combine to reduce noise in downstream gene expression. Autorepression via small RNA can achieve more extreme noise reduction and typically has less effect on the mean expression level. However, it is often more costly to implement and is more sensitive to rate parameters. Theoretical lower limits on the relative variance are known to decrease slowly as a measure of the cost per molecule of mean expression increases. However, the proportional increase in cost to achieve substantial noise suppression can be different away from the optimal frontier-for transcriptional autorepression, it is frequently negligible.
转录和小 RNA 介导的负反馈对控制基因表达波动或“噪声”的比较能力仍未得到探索。这两种自我调节机制通常会抑制蛋白质水平的平均值(均值)及其在细胞间的可变性。与未调节系统相比,每个平均表达分子的蛋白质数量的方差通常也会降低,但几乎从未低于 1。这种相对方差通常大大超过最近获得的生化反馈系统的理论下限。添加转录或小 RNA 介导的控制会产生不同的效果。转录自动抑制可显著降低波动的相对方差和持久性(寿命)。这两个好处结合起来可以降低下游基因表达的噪声。通过小 RNA 的自动抑制可以实现更极端的噪声降低,并且通常对平均表达水平的影响较小。然而,它的实施通常更昂贵,并且对速率参数更敏感。相对方差的理论下限已知会随着每个平均表达分子的成本的增加而缓慢降低。然而,实现显著噪声抑制的成本的比例增加在远离最优边界时可能不同-对于转录自动抑制,它通常可以忽略不计。