Sastre Daniel, Estadella Irene, Bosch Manel, Felipe Antonio
Molecular Physiology Laboratory, Departament de Bioquímica i Biomedicina Molecular, Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Spain.
Scientific and Technological Centers (CCiTUB), Universitat de Barcelona, Barcelona, Spain.
Methods Mol Biol. 2019;2040:215-233. doi: 10.1007/978-1-4939-9686-5_11.
Confocal microscopy permits the analysis of the subcellular distribution of proteins. Colocalization between target proteins and specific markers of differential cell compartments provides an efficient approach to studying protein traffic. In this chapter, we describe an automated method to denoise confocal microscopy images and assess the colocalization of their stainings using ImageJ software. As a step further from conventional single colocalization measurements, in the proposed method, we analyze stacks of three different stainings using two-by-two comparisons. To demonstrate the reliability and usefulness of our proposal, the method was used to compare the traffic of the voltage-gated Kv1.3 potassium channel, which is a well-defined plasma membrane protein, in the presence and absence of KCNE4, a regulatory subunit that strongly retains the channel intracellularly.
共聚焦显微镜术可用于分析蛋白质的亚细胞分布。目标蛋白与不同细胞区室的特定标志物之间的共定位为研究蛋白质运输提供了一种有效的方法。在本章中,我们描述了一种使用ImageJ软件对共聚焦显微镜图像进行去噪并评估其染色共定位的自动化方法。作为从传统单一共定位测量更进一步的步骤,在所提出的方法中,我们使用两两比较来分析三种不同染色的叠加图像。为了证明我们方法的可靠性和实用性,该方法被用于比较电压门控Kv1.3钾通道(一种明确的质膜蛋白)在存在和不存在KCNE4(一种能将该通道强烈保留在细胞内的调节亚基)时的运输情况。