论文标题：Selection and Characterization of Anti-Dengue NS1 Single Domain Antibodies
期刊：
作者：Lisa C. Shriver-Lake, Jinny L. Liu, Dan Zabetakis, Victor A. Sugiharto, Cheng-Rei Lee, Gabriel N. Defang, Shuenn-Jue L. Wu, George P. Anderson, Ellen R. Goldman
发表时间：2018/12/27
数字识别码： 10.1038/s41598-018-35923-1
原文链接：
对登革热病毒（DENV）进行可靠的检测和诊断对于患者护理和流行病控制都具有重要的意义。最近，美国海军研究实验室的生物分子明升体育app和工程中心的Ellen R. Goldman的团队在《明升体育app手机版》上发表的文章Selection and Characterization of Anti-Dengue NS1 Single Domain Antibodies对这个问题进行了研究。
首先，研究人员用来自四种DENV血清型的重组非结构蛋白1（NS1）抗原的混合物接种到一头美洲驼体内，然后建立单域抗体的噬菌体展示免疫库，并从中选出对DENV NS1展示了特异性和亲和力的抗体。然后他们评估了这些单域抗体对来自四种血清型的NS1的结合亲和力，并将其用于夹心式检测方法，用于检测NS1。
研究人员选出了一个最佳的抗体对，该抗体对对于加入到50％人血清中的四种DENV NS1抗原具有最佳的敏感性组合，同时不会与来自寨卡病毒、黄热病病毒、蜱传脑炎病毒的NS1发生交叉反应，而且基本不会结合来自日本脑炎病毒和西尼罗河病毒的NS1。这些强健而稳定的重组型结合分子或许能够替代常规抗体，用于在资源有限的地区进行免疫检测。
摘要：Reliable detection and diagnosis of dengue virus (DENV) is important for both patient care and epidemiological control. Starting with a llama immunized with a mixture of recombinant nonstructural protein 1 (NS1) antigen from the four DENV serotypes, a phage display immune library of single domain antibodies was constructed and binders selected which exhibited specificity and affinity for DENV NS1. Each of these single domain antibodies was evaluated for its binding affinity to NS1 from the four serotypes, and incorporated into a sandwich format for NS1 detection. An optimal pair was chosen that provided the best combination of sensitivity for all four DENV NS1 antigens spiked into 50% human serum while showing no cross reactivity to NS1 from Zika virus, yellow fever virus, tick-borne encephalitis virus, and minimal binding to NS1 from Japanese encephalitis virus and West Nile virus. These rugged and robust recombinant binding molecules offer attractive alternatives to conventional antibodies for implementation into immunoassays destined for resource limited locals.
阅读论文全文请访问：
期刊介绍： () is an online, open access journal from the publishers of Nature. We publish scientifically valid primary research from all areas of the natural and clinical sciences.
The 2017 journal metrics for Scientific Reports are as follows:
•2-year impact factor: 4.122
•5-year impact factor: 4.609
•Immediacy index: 0.576
•Eigenfactor® score: 0.71896
•Article Influence Score: 1.356
•2-year Median: 2
（来源：明升手机版(明升官网)）
特别声明：本文转载仅仅是出于传播信息的需要，并不意味着代表本网站观点或证实其内容的真实性；如其他媒体、网站或个人从本网站转载使用，须保留本网站注明的“来源”，并自负版权等法律责任；作者如果不希望被转载或者联系转载稿费等事宜，请与我们接洽。
