Suppr超能文献

单细胞内源性蛋白质浓度和离解常数的定量分析。

Single-cell quantification of the concentrations and dissociation constants of endogenous proteins.

机构信息

From the Laboratory of Bioimaging and Cell Signaling, Graduate School of Biostudies, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan; the Division of Quantitative Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji-cho, Okazaki, Aichi 444-8787, Japan.

the Division of Quantitative Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji-cho, Okazaki, Aichi 444-8787, Japan; the Quantitative Biology Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji-cho, Okazaki, Aichi 444-8787, Japan.

出版信息

J Biol Chem. 2019 Apr 12;294(15):6062-6072. doi: 10.1074/jbc.RA119.007685. Epub 2019 Feb 9.

Abstract

Kinetic simulation is a useful approach for elucidating complex cell-signaling systems. The numerical simulations required for kinetic modeling in live cells critically require parameters such as protein concentrations and dissociation constants ( ). However, only a limited number of parameters have been measured experimentally in living cells. Here we describe an approach for quantifying the concentration and of endogenous proteins at the single-cell level with CRISPR/Cas9-mediated knock-in and fluorescence cross-correlation spectroscopy. First, the gene was knocked in at the end of the () gene, encoding extracellular signal-regulated kinase 2 (ERK2), through homology-directed repair or microhomology-mediated end joining. Next, the gene was knocked in at the end of the () gene. We then used fluorescence correlation spectroscopy to measure the protein concentrations of endogenous ERK2-mEGFP and RSK2-HaloTag fusion constructs in living cells, revealing substantial heterogeneities. Moreover, fluorescence cross-correlation spectroscopy analyses revealed temporal changes in the apparent values of the binding between ERK2-mEGFP and RSK2-HaloTag in response to epidermal growth factor stimulation. Our approach presented here provides a robust and efficient method for quantifying endogenous protein concentrations and dissociation constants in living cells.

摘要

动力学模拟是阐明复杂细胞信号系统的一种有用方法。在活细胞中进行动力学建模所需的数值模拟,关键需要蛋白浓度和离解常数()等参数。然而,在活细胞中只有有限数量的参数已经通过实验进行了测量。在这里,我们描述了一种通过 CRISPR/Cas9 介导的基因敲入和荧光相关光谱技术,在单细胞水平上定量内源蛋白浓度和的方法。首先,通过同源定向修复或微同源介导的末端连接,将基因敲入到细胞外信号调节激酶 2(ERK2)的基因末端()。接下来,我们将基因敲入到基因的末端。然后,我们使用荧光相关光谱技术测量活细胞中内源性 ERK2-mEGFP 和 RSK2-HaloTag 融合构建体的蛋白浓度,揭示了显著的异质性。此外,荧光互相关光谱分析揭示了 ERK2-mEGFP 和 RSK2-HaloTag 之间结合的表观值在表皮生长因子刺激下的时间变化。我们在这里提出的方法为定量活细胞中内源性蛋白浓度和离解常数提供了一种稳健、高效的方法。

相似文献

引用本文的文献

本文引用的文献

3
Redefining Signaling Pathways with an Expanding Single-Cell Toolbox.用不断扩展的单细胞工具箱重新定义信号通路。
Trends Biotechnol. 2016 Jun;34(6):458-469. doi: 10.1016/j.tibtech.2016.02.009. Epub 2016 Mar 9.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验