1] Telethon Institute of Genetics and Medicine (TIGEM), Via P. Castellino 111, 80131 Naples, Italy [2] Department of Biological Engineering, Massachusetts Institute of Technology. 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA [3].
Nat Commun. 2013;4:2364. doi: 10.1038/ncomms3364.
miRNAs are small non-coding RNAs able to modulate target gene expression. It has been postulated that miRNAs confer robustness to biological processes, but clear experimental evidence is still missing. Here, using a synthetic biological approach, we demonstrate that microRNAs provide phenotypic robustness to transcriptional regulatory networks by buffering fluctuations in protein levels. We construct a network motif in mammalian cells exhibiting a 'toggle-switch' phenotype in which two alternative protein expression levels define its ON and OFF states. The motif consists of an inducible transcription factor that self-regulates its own transcription and that of a miRNA against the transcription factor itself. We confirm, using mathematical modelling and experimental approaches, that the microRNA confers robustness to the toggle-switch by enabling the cell to maintain and transmit its state. When absent, a dramatic increase in protein noise level occurs, causing the cell to randomly switch between the two states.
miRNAs 是能够调节靶基因表达的小非编码 RNA。有人假设 miRNAs 为生物过程提供了稳健性,但目前仍缺乏明确的实验证据。在这里,我们使用合成生物学方法证明,miRNAs 通过缓冲蛋白质水平的波动为转录调控网络提供表型稳健性。我们构建了一种在哺乳动物细胞中表现出“ toggle-switch ”表型的网络基序,其中两种替代的蛋白质表达水平定义了其 ON 和 OFF 状态。该基序由一个可诱导的转录因子组成,该转录因子自我调节自身的转录和针对转录因子自身的 miRNA 的转录。我们通过数学建模和实验方法证实,miRNA 通过使细胞能够维持和传递其状态,从而赋予 toggle-switch 稳健性。当不存在 miRNA 时,蛋白质噪声水平会急剧增加,导致细胞在两种状态之间随机切换。