Suppr超能文献

在还原条件下利用噬菌体展示结合变性筛选具有更高稳定性的抗体单链可变片段。

Selecting for antibody scFv fragments with improved stability using phage display with denaturation under reducing conditions.

作者信息

Brockmann Eeva-Christine, Cooper Matthew, Strömsten Nelli, Vehniäinen Markus, Saviranta Petri

机构信息

Department of Biotechnology, University of Turku, Tykistökatu 6A 6th floor, FIN-20520 Turku, Finland.

出版信息

J Immunol Methods. 2005 Jan;296(1-2):159-70. doi: 10.1016/j.jim.2004.11.008. Epub 2004 Dec 2.

Abstract

Stability of single-chain Fvs (scFvs) can be improved by mutagenesis followed by phage display selection where the unstable variants are first inactivated by, for example, denaturing treatment. Here we describe a modified strategy for the selection of stabilized antibody fragments by phage display, based on denaturation under reducing conditions. This strategy was applied to an anti-thyroid-stimulating hormone (TSH) scFv fragment which refolded remarkably during the selection if denaturation was carried out in conventionally used non-reducing conditions. Refolding was, however, efficiently prevented by combining denaturation with reduction of the intra-domain disulfide bridges, which created favourable conditions for selection of clones with improved stability. Using this strategy, scFv mutants with 8-9 degrees C improved thermal stability and 0.8-0.9 M improved stability for guanidinium chloride were found after 4-5 enrichment cycles. The most stable mutants selected contained either Lys(H)66Arg or Asn(H)52aSer mutations, which are known to stabilize other scFvs. Periplasmic expression level of the mutants was also improved.

摘要

单链抗体片段(scFv)的稳定性可通过诱变,随后进行噬菌体展示筛选来提高,在该过程中,不稳定的变体首先通过例如变性处理使其失活。在此,我们描述了一种基于在还原条件下变性的噬菌体展示筛选稳定化抗体片段的改良策略。该策略应用于抗促甲状腺激素(TSH)scFv片段,如果在常规使用的非还原条件下进行变性,该片段在筛选过程中会显著重折叠。然而,通过将变性与结构域内二硫键的还原相结合,可有效防止重折叠,这为筛选具有更高稳定性的克隆创造了有利条件。使用该策略,经过4 - 5轮富集循环后,发现scFv突变体的热稳定性提高了8 - 9摄氏度,对氯化胍的稳定性提高了0.8 - 0.9 M。所筛选出的最稳定突变体含有已知可稳定其他scFv的Lys(H)66Arg或Asn(H)52aSer突变。突变体的周质表达水平也有所提高。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验