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用于肽亲和试剂发现及所得分离株分析的细菌展示文库的半自动生物淘选

Semi-automated Biopanning of Bacterial Display Libraries for Peptide Affinity Reagent Discovery and Analysis of Resulting Isolates.

作者信息

Sarkes Deborah A, Jahnke Justin P, Stratis-Cullum Dimitra N

机构信息

Sensors and Electron Devices Directorate, US Army Research Laboratory;

Sensors and Electron Devices Directorate, US Army Research Laboratory.

出版信息

J Vis Exp. 2017 Dec 6(130):56061. doi: 10.3791/56061.

Abstract

Biopanning bacterial display libraries is a proven technique for peptide affinity reagent discovery for recognition of both biotic and abiotic targets. Peptide affinity reagents can be used for similar applications to antibodies, including sensing and therapeutics, but are more robust and able to perform in more extreme environments. Specific enrichment of peptide capture agents to a protein target of interest is enhanced using semi-automated sorting methods which improve binding and wash steps and therefore decrease the occurrence of false positive binders. A semi-automated sorting method is described herein for use with a commercial automated magnetic-activated cell sorting device with an unconstrained bacterial display sorting library expressing random 15-mer peptides. With slight modifications, these methods are extendable to other automated devices, other sorting libraries, and other organisms. A primary goal of this work is to provide a comprehensive methodology and expound the thought process applied in analyzing and minimizing the resulting pool of candidates. These techniques include analysis of on-cell binding using fluorescence-activated cell sorting (FACS), to assess affinity and specificity during sorting and in comparing individual candidates, and the analysis of peptide sequences to identify trends and consensus sequences for understanding and potentially improving the affinity to and specificity for the target of interest.

摘要

生物淘选细菌展示文库是一种成熟的技术,用于发现肽亲和试剂,以识别生物和非生物靶标。肽亲和试剂可用于与抗体类似的应用,包括传感和治疗,但更具稳定性,能够在更极端的环境中发挥作用。使用半自动分选方法可增强肽捕获剂对感兴趣蛋白质靶标的特异性富集,该方法改进了结合和洗涤步骤,从而减少了假阳性结合物的出现。本文描述了一种半自动分选方法,用于与商业自动化磁激活细胞分选设备配合使用,该设备带有表达随机15聚体肽的无限制细菌展示分选文库。只需稍作修改,这些方法就可扩展到其他自动化设备、其他分选文库和其他生物体。这项工作的主要目标是提供一种全面的方法,并阐述在分析和最小化候选物库时所应用的思维过程。这些技术包括使用荧光激活细胞分选(FACS)分析细胞表面结合,以在分选过程中以及比较单个候选物时评估亲和力和特异性,以及分析肽序列以识别趋势和共有序列,从而理解并可能提高对感兴趣靶标的亲和力和特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1601/5755526/94961aedd4ec/jove-130-56061-0.jpg

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