Ultrasensitive multiplexed detection of small molecules and enzymes using stimuli-responsive nucleic acids

核酸 多路复用 小分子 化学 计算生物学 生物化学 纳米技术 计算机科学 生物 材料科学 电信
作者
Jie Liu,Chao Zhang,Lei Cao,Minli You,Zedong Li,Hui Guo,Chunyan Yao,Jiatao Lou,Penghui Zhang,Feng Xu
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:440: 135797-135797 被引量:5
标识
DOI:10.1016/j.cej.2022.135797
摘要

Small biomolecules and enzymes play essential roles in regulating various physiological functions and are highly correlated with many diseases, making them promising biomarkers for disease diagnosis. However, it remains challenging to achieve multiplexed detection of trace enzymes and small molecules due to the limited signal transformation and amplification capabilities in existing technologies. Here, we developed a signal transformation and amplification strategy based on stimuli-responsive nucleic acids (SR-NAs) by incorporating stimuli-responsive linker in single-stranded nucleic acid via click chemistry. The targets (e.g., enzymes, small molecules) could recognize the responsive linker and trigger the degradation of the SR-NAs, thus transforming the targets into DNA signals by generating new toehold nucleic acid strands, which were further augmented by nucleic acid amplification. We demonstrated that this strategy significantly improved the detection precision for small biomolecules (H2O2) and enzymes (esterase, β-galactosidase). Furthermore, the signal transformation function of SR-NA enables multiplexed detection via logical operation with multiple small molecules and enzymes as inputs, strand displacement reaction as Boolean logic-based algorithm, and fluorescence signal as output signal, as demonstrated by multiplexed detection of esterase and H2O2. More importantly, this method was capable of realizing ultrasensitive intracellular H2O2 detection. We envision that this SR-NA-based strategy could be expanded to detect other kinds of targets by designing self-immolative linkers, and thus provides a powerful toolbox for bioanalytical and biomedical applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
知了睡醒了完成签到 ,获得积分10
刚刚
书生发布了新的文献求助10
1秒前
1秒前
所所应助nannan626采纳,获得10
2秒前
2秒前
zmy完成签到,获得积分20
3秒前
lily336699完成签到,获得积分10
5秒前
科研通AI2S应助坚强书琴采纳,获得10
5秒前
曾嘻嘻给曾嘻嘻的求助进行了留言
5秒前
科研通AI2S应助my expectations采纳,获得10
6秒前
zhangdatong完成签到,获得积分10
7秒前
Hasee发布了新的文献求助10
7秒前
eon发布了新的文献求助10
8秒前
张泽崇应助粗暴的冬瓜采纳,获得10
8秒前
Gaojin锦完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
清爽的新烟完成签到,获得积分10
10秒前
方非笑应助大胆初翠采纳,获得20
11秒前
许大脚完成签到 ,获得积分10
11秒前
不知道吃什么完成签到,获得积分10
11秒前
12秒前
13秒前
斯文败类应助清爽的新烟采纳,获得10
14秒前
lan完成签到,获得积分10
14秒前
sayen完成签到,获得积分0
15秒前
GC完成签到,获得积分10
16秒前
16秒前
lin发布了新的文献求助10
17秒前
K704发布了新的文献求助10
18秒前
资深咸鱼完成签到,获得积分10
19秒前
19秒前
20秒前
Ava应助科研通管家采纳,获得10
21秒前
bazinga应助科研通管家采纳,获得10
21秒前
cctv18应助科研通管家采纳,获得30
21秒前
充电宝应助科研通管家采纳,获得10
21秒前
wanci应助科研通管家采纳,获得10
21秒前
21秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Teaching Social and Emotional Learning in Physical Education 900
Edestus (Chondrichthyes, Elasmobranchii) from the Upper Carboniferous of Xinjiang, China 500
Chinese-English Translation Lexicon Version 3.0 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
マンネンタケ科植物由来メロテルペノイド類の網羅的全合成/Collective Synthesis of Meroterpenoids Derived from Ganoderma Family 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 440
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2381856
求助须知:如何正确求助?哪些是违规求助? 2089022
关于积分的说明 5248202
捐赠科研通 1815822
什么是DOI,文献DOI怎么找? 905996
版权声明 558853
科研通“疑难数据库(出版商)”最低求助积分说明 483784