DNA-Encoded Fluorescence Signals for Imaging Analysis.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Xiaowen Cao, Wenhao Fu, Xinyin Li, Feng Chen, Yongxi Zhao
{"title":"DNA-Encoded Fluorescence Signals for Imaging Analysis.","authors":"Xiaowen Cao, Wenhao Fu, Xinyin Li, Feng Chen, Yongxi Zhao","doi":"10.1002/smtd.202401303","DOIUrl":null,"url":null,"abstract":"<p><p>Fluorescence imaging has been a powerful technique for the visualization of interest biomolecules. It is widely used in basic biological research, clinical medicine, and other fields. However, the fluorescence signals are often too weak for detecting with simple devices or in complex environments. Besides, fluorescence signals are limited to about four to six dyes, restricting to the spectral overlap of organic fluorophores. DNA nanotechnology including structured and dynamic DNA nanotechnology emerges as a promising material to encode fluorophores, holding great potential to improve the properties of fluorescence signals. Substantial progresses have been achieved in the DNA-encoded fluorescence signals, exhibiting novel characteristics and applications. This review summarizes various DNA encoding strategies with fluorescence signals and their performance in imaging analysis. In this review, different DNA encoding methods and their impacts on the fluorescence signals in imaging is reported, such as brightness, photostability, kinetics, and multiplexing. Besides, the biological application of DNA-encoded signals are reviewed. Finally, potential solutions to address current challenges in DNA-encoded fluorescence signals are suggested, encouraging the future development of this area.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e2401303"},"PeriodicalIF":10.7000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202401303","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Fluorescence imaging has been a powerful technique for the visualization of interest biomolecules. It is widely used in basic biological research, clinical medicine, and other fields. However, the fluorescence signals are often too weak for detecting with simple devices or in complex environments. Besides, fluorescence signals are limited to about four to six dyes, restricting to the spectral overlap of organic fluorophores. DNA nanotechnology including structured and dynamic DNA nanotechnology emerges as a promising material to encode fluorophores, holding great potential to improve the properties of fluorescence signals. Substantial progresses have been achieved in the DNA-encoded fluorescence signals, exhibiting novel characteristics and applications. This review summarizes various DNA encoding strategies with fluorescence signals and their performance in imaging analysis. In this review, different DNA encoding methods and their impacts on the fluorescence signals in imaging is reported, such as brightness, photostability, kinetics, and multiplexing. Besides, the biological application of DNA-encoded signals are reviewed. Finally, potential solutions to address current challenges in DNA-encoded fluorescence signals are suggested, encouraging the future development of this area.

成像分析用dna编码荧光信号。
荧光成像已经成为一种强大的可视化生物分子的技术。广泛应用于基础生物学研究、临床医学等领域。然而,荧光信号往往太弱,无法用简单的设备或在复杂的环境中检测。此外,荧光信号仅限于大约四到六种染料,限制了有机荧光团的光谱重叠。包括结构和动态DNA纳米技术在内的DNA纳米技术是一种很有前途的编码荧光团的材料,具有改善荧光信号特性的巨大潜力。dna编码荧光信号的研究取得了重大进展,显示出新的特性和应用。本文综述了利用荧光信号进行DNA编码的各种策略及其在成像分析中的应用。本文综述了不同的DNA编码方法及其对成像荧光信号的影响,如亮度、光稳定性、动力学和多路复用。此外,还对dna编码信号的生物学应用进行了综述。最后,对当前dna编码荧光信号研究面临的挑战提出了可能的解决方案,鼓励了该领域的未来发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信