Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy.
Soft &Living Matter Lab, Istituto di Nanotecnologia (NANOTEC-CNR), Rome, Italy.
Sci Rep. 2017 Mar 7;7:43673. doi: 10.1038/srep43673.
Gene expression is a noisy process and several mechanisms, both transcriptional and post-transcriptional, can stabilize protein levels in cells. Much work has focused on the role of miRNAs, showing in particular that miRNA-mediated regulation can buffer expression noise for lowly expressed genes. Here, using in silico simulations and mathematical modeling, we demonstrate that miRNAs can exert a much broader influence on protein levels by orchestrating competition-induced crosstalk between mRNAs. Most notably, we find that miRNA-mediated cross-talk (i) can stabilize protein levels across the full range of gene expression rates, and (ii) modifies the correlation pattern of co-regulated interacting proteins, changing the sign of correlations from negative to positive. The latter feature may constitute a potentially robust signature of the existence of RNA crosstalk induced by endogenous competition for miRNAs in standard cellular conditions.
基因表达是一个嘈杂的过程,有几种转录和转录后机制可以稳定细胞中的蛋白质水平。许多工作都集中在 miRNA 的作用上,特别是表明 miRNA 介导的调节可以缓冲低表达基因的表达噪声。在这里,我们使用计算机模拟和数学建模,证明 miRNA 可以通过协调 mRNA 之间竞争诱导的串扰来对蛋白质水平产生更广泛的影响。值得注意的是,我们发现 miRNA 介导的串扰 (i) 可以在整个基因表达速率范围内稳定蛋白质水平,并且 (ii) 改变共调控相互作用蛋白的相关模式的符号,将相关性的符号从负变为正。后一个特征可能构成在标准细胞条件下内源性竞争 miRNA 引起的 RNA 串扰存在的潜在稳健特征。