适体
指数富集配体系统进化
核酸
计算生物学
选择(遗传算法)
生物
DNA测序
DNA
基因组文库
SELEX适体技术
微流控
遗传学
核糖核酸
计算机科学
基序列
基因
纳米技术
人工智能
材料科学
作者
Minseon Cho,Yi Xiao,Jeff Nie,Ron Stewart,Andrew T. Csordas,Seung Soo Oh,James A. Thomson,H. Tom Soh
标识
DOI:10.1073/pnas.1009331107
摘要
We describe the integration of microfluidic selection with high-throughput DNA sequencing technology for rapid and efficient discovery of nucleic acid aptamers. The Quantitative Selection of Aptamers through Sequencing method tracks the copy number and enrichment-fold of more than 10 million individual sequences through multiple selection rounds, enabling the identification of high-affinity aptamers without the need for the pool to fully converge to a small number of sequences. Importantly, this method allows the discrimination of sequences that arise from experimental biases rather than true high-affinity target binding. As a demonstration, we have identified aptamers that specifically bind to PDGF-BB protein with K(d) < 3 nM within 3 rounds. Furthermore, we show that the aptamers identified by Quantitative Selection of Aptamers through Sequencing have approximately 3-8-fold higher affinity and approximately 2-4-fold higher specificity relative to those discovered through conventional cloning methods. Given that many biocombinatorial libraries are encoded with nucleic acids, we extrapolate that our method may be extended to other types of libraries for a range of molecular functions.
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