An Electrochemiluminescent Sensor Based on Glycosyl Imprinting and Aptamer for the Detection of Cancer-Related Extracellular Vesicles

化学 适体 糖基 分子印迹聚合物 聚糖 检出限 组合化学 电化学发光 生物化学 色谱法 分子生物学 糖蛋白 选择性 生物 催化作用
作者
Zejun Jiang,Kui Luo,Guangwei Yang,Yang Li,Ling Li,Guocong Wang,Tao Qin,Jianping Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (6): 2550-2558 被引量:10
标识
DOI:10.1021/acs.analchem.3c04991
摘要

Cancer-related extracellular vesicles (EVs) are considered important biomarkers for cancer diagnosis because they can convey a large amount of information about tumor cells. In order to detect cancer-related EVs efficiently, an electrochemiluminescence (ECL) sensor for the specific identification and highly sensitive detection of EVs in the plasma of cancer patients was constructed based on dual recognitions by glycosyl-imprinted polymer (GIP) and aptamer. The characteristic glycosyl Neu5Ac-α-(2,6)-Gal-β-(1–4)-GlcNAc trisaccharide on the surface of EVs was used as a template molecule and 3-aminophenylboronic acid as a functional monomer to form a glycosyl-imprinted polymer by electropolymerization. After glycosyl elution, the imprinted film specifically recognized and adsorbed the EVs in the sample, and then the CD63 aptamer–bipyridine ruthenium (Aptamer–Ru(bpy)) was added to combine with the CD63 glycoprotein on the extracellular vesicle's surface, thus providing secondary recognition of the EVs. Finally, the EVs were quantitatively detected according to the ECL signal produced by the labeled bipyridine ruthenium. When more EVs were captured by the imprinted film, more probes were obtained after incubation, and the ECL signal was stronger. Under the optimized conditions, the ECL signal showed a good linear relationship with the concentration of EVs in the range of 9.5 × 102 to 9.5 × 107 particles/mL, and the limit of detection was 641 particles/mL. The GIP sensor can discriminate between the EV contents of cancer patients and healthy controls with high accuracy. Because of its affordability, high sensitivity, and ease of use, it is anticipated to be employed for cancer early detection and diagnosis.
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
橙子完成签到,获得积分10
刚刚
杰尼龟发布了新的文献求助20
刚刚
1秒前
hhhyyyy完成签到,获得积分10
1秒前
2秒前
tianya完成签到,获得积分10
2秒前
zzzzz发布了新的文献求助10
2秒前
3秒前
orixero应助Alan采纳,获得10
4秒前
jwx应助超帅的不可采纳,获得10
4秒前
汉堡包应助冷艳宛白采纳,获得10
4秒前
专一的素阴完成签到,获得积分10
6秒前
尘林完成签到,获得积分10
7秒前
可乐发布了新的文献求助10
7秒前
悦耳半梦发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
fifi04发布了新的文献求助30
8秒前
9秒前
一杯橙完成签到,获得积分20
10秒前
tangyuan完成签到,获得积分10
11秒前
11秒前
科研通AI5应助稳重的闭月采纳,获得30
11秒前
11秒前
King16发布了新的文献求助10
13秒前
科研通AI5应助小周碎碎念采纳,获得10
13秒前
13秒前
十二完成签到,获得积分20
14秒前
可乐完成签到,获得积分20
14秒前
愉快烧鹅应助王柯采纳,获得10
14秒前
14秒前
15秒前
15秒前
英俊的铭应助三微之廿采纳,获得10
16秒前
机灵又蓝发布了新的文献求助20
16秒前
小蘑菇应助康康采纳,获得10
16秒前
16秒前
悦耳半梦完成签到,获得积分20
16秒前
16秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3487921
求助须知:如何正确求助?哪些是违规求助? 3075778
关于积分的说明 9142221
捐赠科研通 2768019
什么是DOI,文献DOI怎么找? 1518911
邀请新用户注册赠送积分活动 703405
科研通“疑难数据库(出版商)”最低求助积分说明 701862