A single molecule view of gene expression.
A single molecule view of gene expression.
复制标题
基因表达的单分子视图。
DOI：
10.1016/j.tcb.2009.08.008
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发表时间：
2009-11
影响因子：
19
通讯作者：
Zenklusen, Daniel
中科院分区：
文献类型：
--
作者：
Larson, Daniel R.;Singer, Robert H.;Zenklusen, Daniel
与基于全局方法的基因表达研究相比，分析单个细胞中单个基因的表达显得很简单。然而，在成像技术进步的刺激下，单细胞研究已经成为理解控制基因表达规则的重要工具。这种单细胞基因表达的定量观点是基于对单细胞mrna的计数，实时监测转录，以及单个蛋白质的可视化。基于随机的、离散的生化过程描述的数学模型的并行进展，为控制表达的潜在细胞机制提供了关键的见解。已经出现的观点根植于对细胞过程的概率理解，并定量地解释了在单个细胞中观察到的基因表达模式的平均值和变异。因此，成像和数学理论之间的紧密耦合使单细胞分析成为系统生物学的一个重要分支。
Analyzing the expression of single genes in single cells appears minimalistic in comparison to gene expression studies based on more global approaches. However, stimulated by advances in imaging technologies, single cell studies have become an essential tool in understanding the rules that govern gene expression. This quantitative view of single cell gene expression is based on counting mRNAs in single cells, monitoring transcription in real time, and visualizing single proteins. Parallel advances in mathematical models based on stochastic, discrete descriptions of biochemical processes have provided critical insight into the underlying cellular mechanisms that control expression. The view that has emerged is rooted in a probabilistic understanding of cellular processes and quantitatively explains both the mean and the variation observed in gene expression patterns among single cells. Thus, the close coupling between imaging and mathematical theory has established single cell analysis as an essential branch of systems biology.
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影响因子：
56.9
作者：
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通讯作者：
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通讯作者：
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