利用噬菌体展示选择亲和体分子。

Linnea Charlotta Hjelm, Charles Dahlsson Leitao, Stefan Ståhl, John Löfblom, Hanna Lindberg
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引用次数: 0

摘要

亲和体分子是通过定向进化产生的小型(6-kDa)亲和蛋白,可与各种靶分子特异性结合。该工作流程的第一步是生成亲和体文库。然后对文库进行扩增,扩增后的文库可使用多种方法进行生物扫描。本规程介绍了亲和体文库的扩增,然后使用噬菌体展示进行生物筛选,并分析筛选结果。一般程序主要用于从大型天真(无偏)文库中筛选第一代亲和体分子,通常会产生亲和力在纳摩尔范围内的亲和体分子。对于从亲和力成熟库中筛选出亲和力更高的变体,程序与此类似,但要调整目标浓度和洗涤等参数,以达到适当的严格程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of Affibody Molecules Using Phage Display.

Affibody molecules are small (6-kDa) affinity proteins generated by directed evolution for specific binding to various target molecules. The first step in this workflow involves the generation of an affibody library. This is then followed by amplification of the library, which can then be used for biopanning using multiple methods. This protocol describes amplification of affibody libraries, followed by biopanning using phage display and analysis of the selection output. The general procedure is mainly for selection of first-generation affibody molecules from large naive (unbiased) libraries, typically yielding affibody hits with affinities in the low nanomolar range. For selection from affinity maturation libraries with the aim of isolating variants of even higher affinities, the procedure is similar, but parameters such as target concentration and washing are adjusted to achieve the proper stringency.

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来源期刊
Cold Spring Harbor protocols
Cold Spring Harbor protocols Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.00
自引率
0.00%
发文量
163
期刊介绍: Cold Spring Harbor Laboratory is renowned for its teaching of biomedical research techniques. For decades, participants in its celebrated, hands-on courses and users of its laboratory manuals have gained access to the most authoritative and reliable methods in molecular and cellular biology. Now that access has moved online. Cold Spring Harbor Protocols is an interdisciplinary journal providing a definitive source of research methods in cell, developmental and molecular biology, genetics, bioinformatics, protein science, computational biology, immunology, neuroscience and imaging. Each monthly issue details multiple essential methods—a mix of cutting-edge and well-established techniques.
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