标题： 多物种随机模型：小RNA对基因表达的调控 显示英文标题

标题： Multi-species stochastic models: small RNA regulation of gene expression

摘要： 导致RNA转录的过程本质上是噪声的。 实验观察到mRNA分子的合成是由短暂的、爆发式的事件驱动的。 准确预测蛋白质水平通常需要考虑这些波动。 在这里，我们考虑由小RNA调控的基因表达的随机模型。 小RNA的转录后调控是通过与mRNA的碱基配对实现的。 我们表明，在强配对极限下，mRNA稳态分布可以被精确确定。 获得的解析结果揭示了由于转录爆发导致的确定性描述中的巨大差异。 所提出的方法预计适用于多种多样的多物种模型。 显示英文摘要

摘要： The processes, resulting in the transcription of RNA, are intrinsically noisy. It was observed experimentally that the synthesis of mRNA molecules is driven by short, burst-like, events. An accurate prediction of the protein level often requires one to take these fluctuations into account. Here, we consider the stochastic model of gene expression regulated by small RNAs. Small RNA post-transcriptional regulation is achieved by base-pairing with mRNA. We show that in a strong pairing limit the mRNA steady state distribution can be determined exactly. The obtained analytical results reveal large discrepancies in the deterministic description, due to transcriptional bursting. The proposed approach is expected to work for a large variety of multi-species models.