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"Cyt/Nuc",一个可定制和记录的 ImageJ 宏,用于评估细胞质和细胞核之间蛋白质分布。

"Cyt/Nuc," a Customizable and Documenting ImageJ Macro for Evaluation of Protein Distributions Between Cytosol and Nucleus.

机构信息

Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany.

German Center for Diabetes Research (DZD), 85764 Muenchen-Neuherberg, Germany.

出版信息

Biotechnol J. 2018 May;13(5):e1700652. doi: 10.1002/biot.201700652. Epub 2018 Feb 9.

Abstract

Large amounts of data from multi-channel, high resolution, fluorescence microscopic images require tools that provide easy, customizable, and reproducible high-throughput analysis. The freeware "ImageJ" has become one of the standard tools for scientific image analysis. Since ImageJ offers recording of "macros," even a complex multi-step process can be easily applied fully automated to large numbers of images, saving both time and reducing human subjective evaluation. In this work, we present "Cyt/Nuc," an ImageJ macro, able to recognize and to compare the nuclear and cytosolic areas of tissue samples, in order to investigate distributions of immunostained proteins between both compartments, while it documents in detail the whole process of evaluation and pattern recognition. As practical example, the redistribution of the 20S proteasome, the main intracellular protease in mammalian cells, is investigated in NZO-mouse liver after feeding the animals different diets. A significant shift in proteasomal distribution between cytosol and nucleus in response to metabolic stress was revealed using "Cyt/Nuc" via automatized quantification of thousands of nuclei within minutes. "Cyt/Nuc" is easy to use and highly customizable, matches the precision of careful manual evaluation and bears the potential for quick detection of any shift in intracellular protein distribution.

摘要

大量来自多通道、高分辨率荧光显微镜图像的数据需要提供简单、可定制和可重复的高通量分析工具。免费软件“ImageJ”已成为科学图像分析的标准工具之一。由于 ImageJ 提供了“宏”的记录功能,即使是复杂的多步骤过程也可以轻松地应用于大量图像,从而节省时间并减少人为主观评估。在这项工作中,我们提出了“Cyt/Nuc”,这是一个 ImageJ 宏,能够识别和比较组织样本的核和细胞质区域,以便研究免疫染色蛋白在这两个隔室之间的分布情况,同时详细记录评估和模式识别的整个过程。作为实际示例,研究了在给动物喂食不同饮食后,NZO 小鼠肝脏中 20S 蛋白酶体(哺乳动物细胞中的主要细胞内蛋白酶)的重新分布。通过使用“Cyt/Nuc”在数分钟内自动量化数千个核,发现代谢应激导致蛋白酶体在细胞质和核之间的分布发生了显著变化。“Cyt/Nuc”易于使用且高度可定制,与仔细的手动评估精度相匹配,并具有快速检测细胞内蛋白质分布任何变化的潜力。

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