Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Science. 2010 Jul 30;329(5991):533-8. doi: 10.1126/science.1188308.
Protein and messenger RNA (mRNA) copy numbers vary from cell to cell in isogenic bacterial populations. However, these molecules often exist in low copy numbers and are difficult to detect in single cells. We carried out quantitative system-wide analyses of protein and mRNA expression in individual cells with single-molecule sensitivity using a newly constructed yellow fluorescent protein fusion library for Escherichia coli. We found that almost all protein number distributions can be described by the gamma distribution with two fitting parameters which, at low expression levels, have clear physical interpretations as the transcription rate and protein burst size. At high expression levels, the distributions are dominated by extrinsic noise. We found that a single cell's protein and mRNA copy numbers for any given gene are uncorrelated.
在同基因的细菌群体中,蛋白质和信使 RNA(mRNA)的拷贝数在细胞间存在差异。然而,这些分子的拷贝数通常较低,并且在单细胞中难以检测到。我们使用新构建的大肠杆菌黄色荧光蛋白融合文库,以单分子灵敏度对单个细胞中的蛋白质和 mRNA 表达进行了定量的系统分析。我们发现,几乎所有的蛋白质数量分布都可以用伽马分布来描述,该分布有两个拟合参数,在低表达水平下,这两个参数具有明确的物理意义,分别代表转录率和蛋白质爆发大小。在高表达水平下,分布则主要由外在噪声决定。我们还发现,给定基因的单个细胞的蛋白质和 mRNA 拷贝数之间没有相关性。