Mutch Sarah A, Fujimoto Bryant S, Kuyper Christopher L, Kuo Jason S, Bajjalieh Sandra M, Chiu Daniel T
Department of Chemistry, University of Washington, Seattle, Washington 98195, USA.
Biophys J. 2007 Apr 15;92(8):2926-43. doi: 10.1529/biophysj.106.101428. Epub 2007 Jan 26.
In fluorescence microscopy, images often contain puncta in which the fluorescent molecules are spatially clustered. This article describes a method that uses single-molecule intensity distributions to deconvolve the number of fluorophores present in fluorescent puncta as a way to "count" protein number. This method requires a determination of the correct statistical relationship between the single-molecule and single-puncta intensity distributions. Once the correct relationship has been determined, basis histograms can be generated from the single-molecule intensity distribution to fit the puncta distribution. Simulated data were used to demonstrate procedures to determine this relationship, and to test the methodology. This method has the advantages of single-molecule measurements, providing both the mean and variation in molecules per puncta. This methodology has been tested with the avidin-biocytin binding system for which the best-fit distribution of biocytins in the sample puncta was in good agreement with a bulk determination of the avidin-biocytin binding ratio.
在荧光显微镜检查中,图像通常包含荧光分子在空间上聚集的斑点。本文介绍了一种方法,该方法利用单分子强度分布对荧光斑点中存在的荧光团数量进行反卷积,以此作为“计数”蛋白质数量的一种方式。此方法需要确定单分子强度分布与单斑点强度分布之间正确的统计关系。一旦确定了正确的关系,就可以从单分子强度分布生成基础直方图以拟合斑点分布。使用模拟数据来演示确定这种关系的程序,并测试该方法。该方法具有单分子测量的优点,可提供每个斑点中分子的平均值和变化情况。此方法已在抗生物素蛋白-生物素结合系统中进行了测试,对于该系统,样品斑点中生物素的最佳拟合分布与抗生物素蛋白-生物素结合率的大量测定结果高度一致。