Quantifying E2F1 protein dynamics in single cells.

IF 0.6 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Quantitative Biology Pub Date : 2020-03-01 Epub Date: 2020-03-06 DOI:10.1007/s40484-019-0193-6
Bernard Mathey-Prevot, Bao-Tran Parker, Carolyn Im, Cierra Hong, Peng Dong, Guang Yao, Lingchong You
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引用次数: 2

Abstract

Background: E2F1 protein, a major effector of the Rb/E2F pathway plays a central role in regulating cell-fate decisions involved in proliferation, apoptosis, and differentiation. Its expression is highly dynamic and tightly modulated through a combination of transcriptional, translational and posttranslational controls. However, the mechanisms by which its expression and activity can promote different cellular outcomes remain to be fully elucidated. To better document E2F1 expression in live cells, we have engineered a series of fluorescent E2F1 protein reporters that quantitatively capture E2F1 protein dynamics.

Methods: Reporter constructs, under the control of the mouse or human E2F1 proximal promoter, were designed to express an E2F1-Venus fusion protein incapable of binding DNA. In addition, constructs either included or excluded the 3' untranslated region (3'UTR) of the E2F1 gene. These constructs were introduced into fibroblasts and epithelial cells, and expression of the fusion reporter protein was validated and quantified in single cells using live imaging.

Results: In all cases, expression of the reporter protein effectively recapitulated the behavior of E2F1 under various conditions, including cell cycle progression and genotoxic stress. No or little fluorescent signal of the reporter was detected in G0, but as the cycle progressed, expression of the reporter protein steadily increased in the nucleus, peaking a few hours before cell division, but declining to baseline 2-3 h prior to the onset of mitosis. The absence of the E2F1 3'UTR in the constructs led to considerably higher steady-state levels of the fusion protein, which although normally regulated, exhibited a slightly less complex dynamic profile during the cell cycle or genotoxic stress. Lastly, the presence or absence of Rb failed to impact the overall detection and levels of the reporter proteins.

Conclusions: Our validated E2F1 protein reporters complement nicely other reporters of the Rb/E2F pathway and provide a unique tool to follow the complex dynamics of E2F1 expression in real time in single cells.

定量单细胞内E2F1蛋白动态。
背景:E2F1蛋白是Rb/E2F通路的主要效应蛋白,在细胞增殖、凋亡和分化过程中调控细胞命运决定中起核心作用。它的表达是高度动态的,并通过转录、翻译和翻译后控制的组合而紧密调节。然而,其表达和活性促进不同细胞结果的机制仍有待充分阐明。为了更好地记录活细胞中的E2F1表达,我们设计了一系列荧光E2F1蛋白报告,定量捕捉E2F1蛋白的动态。方法:在小鼠或人E2F1近端启动子的控制下,设计报告基因构建,表达不能结合DNA的E2F1- venus融合蛋白。此外,构建物包括或排除了E2F1基因的3'非翻译区(3' utr)。将这些构建物导入成纤维细胞和上皮细胞,利用实时成像技术在单个细胞中验证和量化融合报告蛋白的表达。结果:在所有情况下,报告蛋白的表达有效地再现了E2F1在各种条件下的行为,包括细胞周期进展和基因毒性应激。在G0中没有或很少检测到报告蛋白的荧光信号,但随着周期的进展,报告蛋白在细胞核中的表达稳步增加,在细胞分裂前几小时达到峰值,但在有丝分裂开始前2-3小时降至基线。构建体中E2F1 3'UTR的缺失导致融合蛋白的稳态水平相当高,尽管通常受到调节,但在细胞周期或基因毒性应激期间表现出稍微不那么复杂的动态特征。最后,Rb的存在与否并不影响报告蛋白的整体检测和水平。结论:我们验证的E2F1蛋白报告基因很好地补充了Rb/E2F通路的其他报告基因,并为实时跟踪单细胞中E2F1表达的复杂动态提供了独特的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quantitative Biology
Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
5.00
自引率
3.20%
发文量
264
期刊介绍: Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.
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