Non-Invasive Visualization of Cells Expressing Unmodified Target mRNA Using a Programmable RNA-Mediated BiFC Platform

IF 1.4 4区 生物学 Q4 CELL BIOLOGY
Genes to Cells Pub Date : 2026-10-07 DOI:10.1111/gtc.70151
Naoki Yamamoto, Sayaka Takase-Yoden
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引用次数: 0

Abstract

Real-time visualization of specific mRNA expression in living cells is essential for understanding diverse biological processes; however, many existing approaches require modifications to target genes. In this study, we developed a programmable RNA-mediated bimolecular fluorescence complementation (RmBiFC) system by fusing split Venus fluorescent protein fragments with the Pumilio homology domain as a modular RNA-binding domain. Using murine leukemia virus mRNA as a model target, we systematically optimized the orientation of the probes and demonstrated robust detection of cells expressing target mRNA. This system enables live-cell imaging of target mRNA-expressing cells without modifying the target gene. This provides a valuable means of tracking cells expressing wild-type genes, which is challenging to achieve using conventional reporter-based approaches. The RmBiFC system represents a versatile and non-invasive platform with broad potential for identifying specific cell populations based on their transcriptomic profiles at the cellular level.

使用可编程rna介导的BiFC平台对表达未修饰靶mRNA的细胞进行无创可视化
活细胞中特定mRNA表达的实时可视化对于理解各种生物过程至关重要;然而,许多现有的方法需要修改目标基因。在这项研究中,我们通过将分裂的金星荧光蛋白片段与Pumilio同源结构域融合作为模块化rna结合结构域,建立了可编程rna介导的双分子荧光互补(RmBiFC)系统。以小鼠白血病病毒mRNA为模型靶点,我们系统地优化了探针的方向,并证明了对表达目标mRNA的细胞的鲁棒性检测。该系统能够在不修改靶基因的情况下对表达mrna的细胞进行活细胞成像。这为跟踪表达野生型基因的细胞提供了一种有价值的方法,这是使用传统的基于报告者的方法难以实现的。人民币ifc系统代表了一个多功能和非侵入性的平台,具有广泛的潜力,可以根据细胞水平上的转录组谱识别特定细胞群。
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
Genes to Cells
Genes to Cells 生物-细胞生物学
CiteScore
3.40
自引率
0.00%
发文量
71
审稿时长
3 months
期刊介绍: Genes to Cells provides an international forum for the publication of papers describing important aspects of molecular and cellular biology. The journal aims to present papers that provide conceptual advance in the relevant field. Particular emphasis will be placed on work aimed at understanding the basic mechanisms underlying biological events.
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