摘要翻译：
基因表达中的噪声，无论是由于固有的随机性，还是由于细胞间和细胞内环境的变化，都可以在克隆群体中产生显着的细胞间蛋白质水平变异性。我们提出了一个基于随机过程的理论框架，以明确地考虑细胞分裂的情况下，量化基因表达噪声的不同来源。从蛋白质合成的主要步骤中导出了噪声贡献的解析的、时间相关的解。分析表明，激活因子或转录因子的诱导水平对基因表达噪声的主要来源的特征签名至关重要，从而弥合了看似矛盾的实验结果之间的鸿沟。此外，在实验测量细胞分布的基础上，我们的模拟表明转录因子结合和启动子激活可以独立于彼此进行建模，具有足够的准确性。
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英文标题：
《Induction level determines signature of gene expression noise in
  cellular systems》
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作者：
Julia Rausenberger, Christian Fleck, Jens Timmer, Markus Kollmann
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最新提交年份：
2007
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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：
  Noise in gene expression, either due to inherent stochasticity or to varying inter- and intracellular environment, can generate significant cell-to-cell variability of protein levels in clonal populations. We present a theoretical framework, based on stochastic processes, to quantify the different sources of gene expression noise taking cell division explicitly into account. Analytical, time-dependent solutions for the noise contributions arising from the major steps involved in protein synthesis are derived. The analysis shows that the induction level of the activator or transcription factor is crucial for the characteristic signature of the dominant source of gene expression noise and thus bridges the gap between seemingly contradictory experimental results. Furthermore, on the basis of experimentally measured cell distributions, our simulations suggest that transcription factor binding and promoter activation can be modelled independently of each other with sufficient accuracy.
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PDF链接：
https://arxiv.org/pdf/0712.2758