Quantifying Compartment-Specific Protein Translocation in Astrocytes by Object-Oriented Image Analysis: Mitochondrial Translocation of PKCδ

通过面向对象的图像分析量化星形胶质细胞中的区间特异性蛋白质易位:PKCδ 的线粒体易位

阅读:8
作者:Kiavasch Mohammad Nejad Farid, Amin Derouiche

Abstract

Assessing the amount and subcellular distribution of protein expression is a key component in modern cell biological and medical research. We studied protein kinase Cδ (PKCδ) as a potential regulator of mitochondrial metabolism in astrocytes, and sought to evaluate mitochondrial translocation of PKCδ since this is an important determinant of its function. Apart from visualizing compartment specific localization of mobile proteins such as PKCδ, we also wanted to determine what amount of a cell's total content of a particular protein is located to a specific compartment, or translocated comparing control and experimental condition.We develop a semiquantitative parameter that indicates the relative protein distribution to two subcellular compartments, starting from standard two-channel fluorescence microscopy images. We studied the mitochondrial translocation of PKCδ in astrocytes using double immunofluorescence microscopy and object-oriented image analysis. In one channel, the protein of interest (PKCδ) is labeled, in the other the compartment or organelle of interest (mitochondria, using cytochrome oxidase IV). Both channels were binarized, turned into object populations, and the channel specific values for total area and integrated intensity extracted. From these values, the "intensity density ratio" (IDR) is calculated, a standardized parameter to easily compare distribution patterns in different cells or ROIs. IDR is highly sensitive to changes in localization pattern, and thus easily detects protein translocation in comparison between control and experimental condition. In our study, medium application of glutamate was found to result in partial PKCδ translocation to mitochondria, a statistically highly significant result based only on a limited number of acquired images.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。