Nanopore-Based Single-Entity Electrochemistry for the Label-Free Monitoring of Single-Molecule Glycoprotein–Boronate Affinity Interaction and Its Sensing Application

化学 纳米孔 糖蛋白 分子 密闭空间 组合化学 生物物理学 纳米技术 生物化学 有机化学 材料科学 生物
作者
Haoran Tang,Hao Wang,Dandan Zhao,Mengya Cao,Yanyan Zhu,Yongxin Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (14): 5715-5722 被引量:40
标识
DOI:10.1021/acs.analchem.2c00860
摘要

Nanopipettes provide a promising confined space that enables advances in single-molecule analysis, and their unique conical tubular structure is also suitable for single-cell analysis. In this work, functionalized-nanopore-based single-entity electrochemistry (SEE) analysis tools were developed for the label-free monitoring of single-molecule glycoprotein-boronate affinity interaction for the first time, and immunoglobulin G (IgG, one of the important biomarkers for many diseases such as COVID-19 and cancers) was employed as the model glycoprotein. The principle of this method is based on a single glycoprotein molecule passing through 4-mercaptophenylboronic acid (4-MPBA)-modified nanopipettes under a bias voltage and in the meantime interacting with the boronate group from modified 4-MPBA. This translocation and affinity interaction process can generate distinguishable current blockade signals. Based on the statistical analysis of these signals, the equilibrium association constant (κa) of single-molecule glycoprotein-boronate affinity interaction was obtained. The results show that the κa of IgG in the confined nanopore at the single-molecule level is much larger than that measured in the open system at the ensemble level, which is possibly due to the enhanced multivalent synergistic binding in the restricted space. Moreover, the functionalized-nanopore-based SEE analysis tools were further applied for the label-free detection of IgG, and the results indicate that our method has potential application value for the detection of glycoproteins in real samples, which also paves way for the single-cell analysis of glycoproteins.
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
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
YitingW完成签到 ,获得积分10
刚刚
天天快乐应助ryq327采纳,获得10
1秒前
1秒前
1秒前
an发布了新的文献求助10
1秒前
天真醉波完成签到 ,获得积分10
2秒前
香蕉觅云应助xyr采纳,获得10
2秒前
qkm123完成签到,获得积分10
3秒前
美丽的青雪完成签到 ,获得积分10
3秒前
上课呢完成签到 ,获得积分10
3秒前
3秒前
2799完成签到,获得积分10
3秒前
科研通AI6.3应助zyueyun采纳,获得10
4秒前
4秒前
summer发布了新的文献求助10
4秒前
我要发顶刊完成签到,获得积分20
5秒前
科研通AI6.3应助rital采纳,获得10
5秒前
哈哈就哈哈完成签到 ,获得积分10
5秒前
科研通AI6.3应助rital采纳,获得10
5秒前
情怀应助rital采纳,获得10
5秒前
科研通AI6.2应助rital采纳,获得10
5秒前
科研通AI6.2应助rital采纳,获得10
5秒前
5秒前
5秒前
Yao完成签到,获得积分10
6秒前
cheers发布了新的文献求助10
7秒前
大个应助Larry1226采纳,获得30
7秒前
7秒前
7秒前
celestia发布了新的文献求助10
7秒前
JM发布了新的文献求助10
7秒前
quantopt发布了新的文献求助10
8秒前
8秒前
S月小小完成签到,获得积分10
8秒前
8秒前
无私藏鸟完成签到,获得积分10
9秒前
hhhpass完成签到,获得积分10
9秒前
Daaz发布了新的文献求助10
9秒前
meiqi发布了新的文献求助10
9秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Social Psychology in the Real World 800
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7410596
求助须知:如何正确求助?哪些是违规求助? 9014672
关于积分的说明 19199751
捐赠科研通 7042536
什么是DOI,文献DOI怎么找? 3233162
关于科研通互助平台的介绍 2395465
邀请新用户注册赠送积分活动 2215239