皮肤切片中蛋白质表达和共定位的定量图像分析。

Quantitative image analysis of protein expression and colocalisation in skin sections.

机构信息

Department of Medical Sciences, Dermatology and Venereology, Uppsala University, Uppsala, Sweden.

Division of Visual Information and Interaction, Department of Information Technology, SciLifeLab, Uppsala University, Uppsala, Sweden.

出版信息

Exp Dermatol. 2018 Feb;27(2):196-199. doi: 10.1111/exd.13457. Epub 2018 Jan 9.

DOI:10.1111/exd.13457

PMID:29094393

Abstract

Immunofluorescence (IF) and in situ proximity ligation assay (isPLA) are techniques that are used for in situ protein expression and colocalisation analysis, respectively. However, an efficient quantitative method to analyse both IF and isPLA staining on skin sections is lacking. Therefore, we developed a new method for semi-automatic quantitative layer-by-layer measurement of protein expression and colocalisation in skin sections using the free open-source software CellProfiler. As a proof of principle, IF and isPLA of ichthyosis-related proteins TGm-1 and SDR9C7 were examined. The results indicate that this new method can be used for protein expression and colocalisation analysis in skin sections.

摘要

免疫荧光（IF）和原位邻近连接分析（isPLA）分别是用于原位蛋白质表达和共定位分析的技术。然而，缺乏一种有效的定量方法来分析皮肤切片上的 IF 和 isPLA 染色。因此，我们使用免费的开源软件 CellProfiler 开发了一种用于皮肤切片上蛋白质表达和共定位的半自动逐层定量测量的新方法。作为原理验证，检查了与鱼鳞病相关的蛋白质 TGm-1 和 SDR9C7 的 IF 和 isPLA。结果表明，该新方法可用于皮肤切片中的蛋白质表达和共定位分析。