Spatially Controlled MicroRNA Imaging in Mitochondria via Enzymatic Activation of Hybridization Chain Reaction.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2024-11-14 DOI:10.1002/smtd.202401531
Kaining Dai, Jian Zhao, Lele Li, Xiaojun Fu
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Abstract

Live-cell imaging of RNA in specific subcellular compartments is essential for elucidating the rich repertoire of cellular functions, but it has been limited by a lack of simple, precisely controlled methods. Here such an approach is presented via the combination of hybridization chain reaction and spatially restricted enzymatic activation with organelle-targeted delivery. The system can localize engineered DNA hairpins in the mitochondria, where target RNA-initiated chain reaction of hybridization events is selectively activated by a specific enzyme, enabling amplified RNA imaging with high precision. It is demonstrated that the approach is compatible with live cell visualization and enables the regulatable imaging of microRNA in mitochondria. Since in situ activation of the signal amplification with enzyme eliminates the need for genetically encoded protein overexpression, it is envisioned that this simple platform will be broadly applicable for precise RNA imaging with subcellular resolution in a variety of biological processes.

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通过酶促杂交链反应激活线粒体中空间受控的微RNA成像。
对特定亚细胞区室中的 RNA 进行活细胞成像对于阐明丰富的细胞功能至关重要,但由于缺乏简单、精确的控制方法,这种成像一直受到限制。这里介绍的这种方法是将杂交链反应和空间受限酶激活与细胞器靶向递送相结合。该系统可将工程 DNA 发夹定位在线粒体中,由特定酶选择性激活由目标 RNA 引发的杂交链反应,从而实现高精度的扩增 RNA 成像。实验证明,这种方法与活细胞可视化兼容,并能对线粒体中的微 RNA 进行可调节的成像。由于用酶原位激活信号放大不需要基因编码蛋白的过量表达,因此设想这种简单的平台将广泛应用于各种生物过程中具有亚细胞分辨率的精确 RNA 成像。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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