A Detailed Protein-SELEX Protocol Allowing Visual Assessments of Individual Steps for a High Success Rate

生物 指数富集配体系统进化 协议(科学) 计算生物学 选择(遗传算法) 计算机科学 遗传学 人工智能 基因 核糖核酸 医学 病理 替代医学
作者
Tao Wang,Wang Yin,Hadi AlShamaileh,Shouxin Zhang,Phuong H.L. Tran,Tuong Ngoc-Gia Nguyen,Yong Li,Chen Kuisheng,Miaomiao Sun,Yingchun Hou,Weihong Zhang,Qingxia Zhao,Changying Chen,Pei‐Zhuo Zhang,Wei Duan
出处
期刊:Human Gene Therapy Methods [Mary Ann Liebert]
卷期号:30 (1): 1-16 被引量:31
标识
DOI:10.1089/hgtb.2018.237
摘要

As a nucleic acid alternative to traditional antibody, aptamer holds great potential in various fields of biology and medicine such as targeted gene therapy, drug delivery, bio-sensing, and laboratory medicine. Over the past decades, the conventional Systematic Evolution of Ligands by Exponential Enrichment (SELEX) method has undergone dramatic modifications and improvements owing to developments in material sciences and analytical techniques. However, many of the recently developed strategies either require complex materials and instruments or suffer from low efficiency and high failure rates in the selection of desired aptamers. Accordingly, the development of aptamers against new or novel targets is still a major obstacle for aptamer-based research and application. Here, an improved protein-SELEX procedure is presented for simplified and highly efficient isolation of aptamers against protein targets. Approaches are described that ensure a high success rate in aptamer selection by simplifying polymerase chain reaction procedures, introducing denature gel, utilizing an electro-elution-based single-stranded DNA separation strategy, as well as an enzyme-linked immunosorbent assay-based highly sensitive binding assay. In addition, a simplified sample preparation method for MiSeq-based next-generation sequencing is also introduced. While a recombinant protein as a bait protein for SELEX is discussed here, this protocol will also be invaluable for researchers wishing to develop aptamers against targets other than proteins such as small molecules, lipids, carbohydrates, cells, and micro-organisms for future gene therapy and/or diagnostics.
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