Systematic Characterization of Cell Cycle Phase-dependent Protein Dynamics and Pathway Activities by High-content Microscopy-assisted Cell Cycle Phenotyping

IF 11.5 2区 生物学 Q1 GENETICS & HEREDITY
Christopher Bruhn , Torsten Kroll , Zhao-Qi Wang
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引用次数: 7

Abstract

Cell cycle progression is coordinated with metabolism, signaling and other complex cellular functions. The investigation of cellular processes in a cell cycle stage-dependent manner is often the subject of modern molecular and cell biological research. Cell cycle synchronization and immunostaining of cell cycle markers facilitate such analysis, but are limited in use due to unphysiological experimental stress, cell type dependence and often low flexibility. Here, we describe high-content microscopy-assisted cell cycle phenotyping (hiMAC), which integrates high-resolution cell cycle profiling of asynchronous cell populations with immunofluorescence microscopy. hiMAC is compatible with cell types from any species and allows for statistically powerful, unbiased, simultaneous analysis of protein interactions, modifications and subcellular localization at all cell cycle stages within a single sample. For illustration, we provide a hiMAC analysis pipeline tailored to study DNA damage response and genomic instability using a 3–4-day protocol, which can be adjusted to any other cell cycle stage-dependent analysis.

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利用高含量显微镜辅助细胞周期表型分析细胞周期相依赖性蛋白动力学和途径活性的系统表征
细胞周期的进程与代谢、信号和其他复杂的细胞功能相协调。以细胞周期阶段依赖的方式研究细胞过程经常是现代分子和细胞生物学研究的主题。细胞周期同步和细胞周期标记物的免疫染色促进了这种分析,但由于非生理性的实验应激、细胞类型依赖性和往往较低的灵活性,在使用上受到限制。在这里,我们描述了高含量的显微镜辅助细胞周期表型(hiMAC),它集成了异步细胞群的高分辨率细胞周期分析与免疫荧光显微镜。hiMAC与任何物种的细胞类型兼容,并允许在单个样品中对所有细胞周期阶段的蛋白质相互作用,修饰和亚细胞定位进行统计功能强大,无偏倚的同时分析。举例来说,我们提供了一个专门用于研究DNA损伤反应和基因组不稳定性的hiMAC分析管道,使用3 - 4天的协议,可以调整到任何其他细胞周期阶段依赖的分析。
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来源期刊
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.30
自引率
4.20%
发文量
844
审稿时长
61 days
期刊介绍: Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.
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