Lee ChangHwan, Roberts Samantha E, Gladfelter Amy S
Howard Hughes Medical Institute, Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.
Department of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA.
Methods. 2016 Apr 1;98:124-133. doi: 10.1016/j.ymeth.2015.12.007. Epub 2015 Dec 12.
mRNA positioning in the cell is important for diverse cellular functions and proper development of multicellular organisms. Single-molecule RNA FISH (smFISH) enables quantitative investigation of mRNA localization and abundance at the level of individual molecules in the context of cellular features. Details about spatial mRNA patterning at various times, in different genetic backgrounds, at different developmental stages, and under varied environmental conditions provide invaluable insights into the mechanisms and functions of spatial regulation. Here, we describe detailed methods for performing smFISH along with immunofluorescence for two large, multinucleate cell types: the fungus Ashbya gossypii and cultured mouse myotubes. We also put forward a semi-automated image processing tool that systematically detects mRNAs from smFISH data and statistically analyzes the spatial pattern of mRNAs using a customized MATLAB code. These protocols and image analysis tools can be adapted to a wide variety of transcripts and cell types for systematically and quantitatively analyzing mRNA distribution in three-dimensional space.
mRNA在细胞中的定位对于多种细胞功能以及多细胞生物体的正常发育至关重要。单分子RNA荧光原位杂交(smFISH)能够在细胞特征的背景下,在单个分子水平上对mRNA的定位和丰度进行定量研究。关于不同时间、不同遗传背景、不同发育阶段以及不同环境条件下空间mRNA模式的详细信息,为空间调控的机制和功能提供了宝贵的见解。在这里,我们描述了针对两种大型多核细胞类型(真菌阿氏棉霉和培养的小鼠肌管)进行smFISH以及免疫荧光的详细方法。我们还提出了一种半自动图像处理工具,该工具使用定制的MATLAB代码从smFISH数据中系统地检测mRNA,并对mRNA的空间模式进行统计分析。这些方案和图像分析工具可适用于多种转录本和细胞类型,用于系统地和定量地分析三维空间中的mRNA分布。