亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Affinity Improvement of a VEGF Aptamer by in Silico Maturation for a Sensitive VEGF-Detection System

适体 化学 指数富集配体系统进化 生物信息学 亲和力成熟 离解常数 DNA 组合化学 计算生物学 分子生物学 生物化学 核糖核酸 生物 受体 基因
作者
Yoshihiko Nonaka,Wataru Yoshida,Koichi Abe,Stefano Ferri,Holger Schulze,Till T. Bachmann,Kazunori Ikebukuro
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:85 (2): 1132-1137 被引量:97
标识
DOI:10.1021/ac303023d
摘要

Systematic evolution of ligands by exponential enrichment (SELEX) is an efficient method to identify aptamers; however, it sometimes fails to identify aptamers that bind to their target with high affinity. Thus, post-SELEX optimization of aptamers is required to improve aptamer binding affinity. We developed in silico maturation based on a genetic algorithm(1) as an efficient mutagenesis method to improve aptamer binding affinity. In silico maturation was performed to improve a VEGF-binding DNA aptamer (VEap121). The VEap121 aptamer is considered to fold into a G-quadruplex structure and this structure may be important for VEGF recognition. Using in silico maturation, VEap121 was mutated with the exception of the guanine tracts that are considered to form the G-quartet. As a result, four aptamers were obtained that showed higher affinity compared with VEap121. The dissociation constant (Kd) of the most improved aptamer (3R02) was 300 pM. The affinity of 3R02 was 16-fold higher than that of VEap121. Moreover, a bivalent aptamer was constructed by connecting two identical 3R02s through a 10-mer thymine linker for further improvement of affinity. The bivalent aptamer (3R02 Bivalent) bound to VEGF with a Kd value of 30 pM. Finally, by constructing a VEGF-detection system using a VEGF antibody as the capture molecule and monovalent 3R02 as the detection molecule, a more sensitive assay was developed compared with the system using VEap121. These results indicate that in silico maturation could be an efficient method to improve aptamer affinity for construction of sensitive detection systems.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
pearson完成签到,获得积分10
1秒前
龚幻梦发布了新的文献求助10
4秒前
汉堡包应助徐志豪采纳,获得10
4秒前
阿乌大王完成签到,获得积分10
7秒前
浮游应助Lawliet采纳,获得10
11秒前
12秒前
15秒前
shusen完成签到,获得积分10
15秒前
科研通AI5应助玉洁采纳,获得10
15秒前
16秒前
17秒前
18秒前
芒果完成签到 ,获得积分10
19秒前
terryok发布了新的文献求助10
23秒前
隐形曼青应助zxh采纳,获得10
26秒前
思源应助暴躁的芷巧采纳,获得10
32秒前
33秒前
40秒前
47秒前
火星上的听云完成签到,获得积分10
47秒前
liaoliao完成签到 ,获得积分10
51秒前
Alav0314完成签到,获得积分10
52秒前
竹伪发布了新的文献求助10
53秒前
乐正亦寒完成签到 ,获得积分10
58秒前
科研小赵发布了新的文献求助10
1分钟前
yao发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
王硕小傻狗完成签到,获得积分10
1分钟前
MinQi发布了新的文献求助10
1分钟前
斯文败类应助brg1小王子采纳,获得20
1分钟前
科研小赵完成签到,获得积分10
1分钟前
MinQi完成签到,获得积分10
1分钟前
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
郑倾城发布了新的文献求助30
1分钟前
星驰完成签到 ,获得积分10
1分钟前
黄涛涛发布了新的文献求助10
1分钟前
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
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5076910
求助须知:如何正确求助?哪些是违规求助? 4296247
关于积分的说明 13386652
捐赠科研通 4118494
什么是DOI,文献DOI怎么找? 2255341
邀请新用户注册赠送积分活动 1259818
关于科研通互助平台的介绍 1192904