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Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels

机译:朗格罕氏胰岛单个细胞中的基因表达谱揭示了mRNA水平的对数正态分布

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摘要

The transcriptional machinery in individual cells is controlled by a relatively small number of molecules, which may result in stochastic behavior in gene activity. Because of technical limitations in current collection and recording methods, most gene expression measurements are carried out on populations of cells and therefore reflect average mRNA levels. The variability of the transcript levels between different cells remains undefined, although it may have profound effects on cellular activities. Here we have measured gene expression levels of the five genes ActB, Ins1, Ins2, Abcc8, and Kcnj11 in individual cells from mouse pancreatic islets. Whereas Ins1 and Ins2 expression show a strong cell–cell correlation, this is not the case for the other genes. We further found that the transcript levels of the different genes are lognormally distributed. Hence, the geometric mean of expression levels provides a better estimate of gene activity of the typical cell than does the arithmetic mean measured on a cell population.
机译:单个细胞中的转录机制受相对较少数量的分子控制,这可能导致基因活动中的随机行为。由于当前收集和记录方法的技术局限性,大多数基因表达测量是在细胞群体上进行的,因此反映了平均mRNA水平。尽管不同细胞之间转录水平的变化可能对细胞活性产生深远影响,但仍不确定。在这里,我们测量了小鼠胰岛单个细胞中五个基因ActB,Ins1,Ins2,Abcc8和Kcnj11的基因表达水平。 Ins1和Ins2表达显示出很强的细胞间相关性,而其他基因则并非如此。我们进一步发现,不同基因的转录水平呈对数正态分布。因此,表达水平的几何平均值比对细胞群体测得的算术平均值能更好地估计典型细胞的基因活性。

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