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基于DNA框架的可编程类似原子的纳米粒子用于非编码RNA识别和癌症细胞的分化

Fulin Zhu¹, Xinyu Yang¹, Lilin Ouyang²

¹School of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, 210094, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

|April 3, 2024

概括

研究人员开发了DNA纳米粒子分子分类器,以精确,同时检测活细胞中的多个非编码RNA (ncRNA). 这一突破增强了细胞分化分析和癌细胞类型,用于精准医学.

科学领域:

生物技术和纳米技术
分子生物学和遗传学
癌症研究和精准医学精准医学

背景情况:

非编码RNAs (ncRNAs) 是细胞分化和分类的关键生物标志物,构成了精密医学的基础.
目前面临的挑战包括同时分析多个ncRNA和整合生物标记数据以准确的细胞类型.
现有的方法往往缺乏用于全面的细胞内分析所需的灵敏度和复合能力.

研究的目的:

为分子分类设计和开发基于DNA框架的可编程原子类纳米粒子 (PANs).
为了使细胞内成像和同时分析与细胞分化相关的多个ncRNAs.
建立一种在恶性转变和瘤进展期间对癌细胞进行分类的通用策略.

主要方法:

设计基于DNA框架的可编程类似原子的纳米粒子 (PAN) 作为分子分类器.
使用催化式发针组件进行信号放大,增强检测灵敏度.
通过光信号变化从与ncRNAs的PAN记者相互作用中测量到现场的ncRNA水平.

主要成果:

与非放大方法相比,检测极限降低了四个数量级.
证明了在人类活体胃癌细胞中同时测量多个ncRNA的能力.
通过基于PANs的分子分类器成功评估了细胞分化的程度.

结论:

基于PANs的分子分类器提供了ncRNA表达水平的高准确性转换成可测量的结合事件.
这种方法提供了一种敏感和多重复合的方法来分析活细胞内的ncRNA.
开发的策略作为癌细胞分类的通用平台,有助于了解瘤进展.

关键词:

基因框架基因框架基因框架识别RNARNA的识别癌症分化癌症分化光是一种光.可编程的类似原子的纳米粒子.

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lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

Nucleic Acid Structure

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The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms a 5′ to 3′ phosphodiester linkage.
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