G-quadruplex based biosensor: A potential tool for SARS-CoV-2 detection

生物传感器 G-四倍体 核酸 鸟嘌呤 化学 纳米技术 适体 折叠(DSP实现) DNA 计算生物学 生物化学 生物 核苷酸 材料科学 分子生物学 工程类 电气工程 基因
作者
Hui Xi,Mario Juhas,Yang Zhang
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:167: 112494-112494 被引量:98
标识
DOI:10.1016/j.bios.2020.112494
摘要

G-quadruplex is a non-canonical nucleic acid structure formed by the folding of guanine rich DNA or RNA. The conformation and function of G-quadruplex are determined by a number of factors, including the number and polarity of nucleotide strands, the type of cations and the binding targets. Recent studies led to the discovery of additional advantageous attributes of G-quadruplex with the potential to be used in novel biosensors, such as improved ligand binding and unique folding properties. G-quadruplex based biosensor can detect various substances, such as metal ions, organic macromolecules, proteins and nucleic acids with improved affinity and specificity compared to standard biosensors. The recently developed G-quadruplex based biosensors include electrochemical and optical biosensors. A novel G-quadruplex based biosensors also show better performance and broader applications in the detection of a wide spectrum of pathogens, including SARS-CoV-2, the causative agent of COVID-19 disease. This review highlights the latest developments in the field of G-quadruplex based biosensors, with particular focus on the G-quadruplex sequences and recent applications and the potential of G-quadruplex based biosensors in SARS-CoV-2 detection. • The formation of G-quadruplex structure was introduced. • Recent advances of G-quadruplex based biosensors were summarized, including electrochemical biosensor and optical biosensor. • The potential application of G-quadruplex based biosensors in SARS-CoV-2 detection was discussed.

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
刚刚
勤劳的包关注了科研通微信公众号
1秒前
无极微光应助小为采纳,获得20
1秒前
顾矜应助arui采纳,获得10
2秒前
KeYang完成签到,获得积分10
2秒前
2秒前
Badada发布了新的文献求助30
3秒前
wxx发布了新的文献求助10
3秒前
小木完成签到,获得积分10
4秒前
选兵完成签到,获得积分10
4秒前
5秒前
huanhuan发布了新的文献求助10
5秒前
阿西吧发布了新的文献求助10
7秒前
chengyida完成签到,获得积分10
8秒前
li发布了新的文献求助10
9秒前
科研通AI6.3应助亚李采纳,获得10
9秒前
月无痕moon完成签到,获得积分10
9秒前
飘逸沛槐完成签到 ,获得积分10
10秒前
10秒前
Lartyrs完成签到,获得积分10
10秒前
11秒前
11秒前
zoe完成签到 ,获得积分10
12秒前
酷波er应助George Will采纳,获得10
13秒前
Lartyrs发布了新的文献求助10
13秒前
科研通AI6.1应助ewww采纳,获得10
14秒前
大个应助现代的紫霜采纳,获得10
14秒前
宝可梦大师完成签到,获得积分10
15秒前
今后应助oui采纳,获得10
15秒前
完美访烟发布了新的文献求助10
15秒前
Young发布了新的文献求助10
15秒前
老实寒云发布了新的文献求助10
15秒前
打打应助洪子睿采纳,获得10
16秒前
16秒前
胡萝卜z发布了新的文献求助20
18秒前
huanhuan完成签到,获得积分10
19秒前
田様应助Sxin采纳,获得10
19秒前
20秒前
20秒前
CipherSage应助自觉的雨南采纳,获得10
20秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6010807
求助须知:如何正确求助?哪些是违规求助? 7557707
关于积分的说明 16135146
捐赠科研通 5157613
什么是DOI,文献DOI怎么找? 2762436
邀请新用户注册赠送积分活动 1741039
关于科研通互助平台的介绍 1633523