抑制下随机基因表达的建模

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摘要翻译：
用一个简单的类自旋随机模型研究了由算子涨落引起的本征转录噪声。通过扩增相互作用将转录和翻译耦合起来，探讨了转录波动在蛋白质合成中的作用。在存在抑制的情况下，一个新的术语有助于噪声，它取决于mRNA产生的速率。如果开关时间与mRNA生命时间相比较小，则噪声也较小。一般说来，抑制剂对蛋白质产量的倾倒是线性发生的，但在中间抑制时波动会出现最大值。转换时间、mRNA降解和蛋白质降解之间的差异对于抑制翻译而不产生大的波动至关重要。这里得到的噪声分布与最近的实验结果是一致的。
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英文标题：
《Modeling stochastic gene expression under repression》
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作者：
Guilherme da C.P. Innocentini and Jose E. M. Hornos
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最新提交年份：
2005
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Intrinsic transcriptional noise induced by operator fluctuations is investigated with a simple spin like stochastic model. The effects of transcriptional fluctuations in protein synthesis is probed by coupling transcription and translation by an amplificative interaction. In the presence of repression a new term contributes to the noise which depends on the rate of mRNA production. If the switching time is small compared with the mRNA life time the noise is also small. In general the dumping of protein production by a repressive agent occurs linearly but the fluctuations can show a maxima at intermediate repression. The discrepancy between the switching time, the mRNA degradation and protein degradation is crucial for the repressive control in translation without large fluctuations. The noise profiles obtained here are in quantitative agreement with recent experiments.
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PDF链接：
https://arxiv.org/pdf/q-bio/0512016

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关键词：基因表达 Quantitative Fluctuations intermediate Fluctuation repression switching 波动 噪声 研究