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首页> 外文期刊>Frontiers in Immunology >Facile Affinity Maturation of Antibody Variable Domains Using Natural Diversity Mutagenesis
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Facile Affinity Maturation of Antibody Variable Domains Using Natural Diversity Mutagenesis

机译:利用自然多样性诱变的抗体可变域的亲和力成熟。

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The identification of mutations that enhance antibody affinity while maintaining high antibody specificity and stability is a time-consuming and laborious process. Here, we report an efficient methodology for systematically and rapidly enhancing the affinity of antibody variable domains while maximizing specificity and stability using novel synthetic antibody libraries. Our approach first uses computational and experimental alanine scanning mutagenesis to identify sites in the complementarity-determining regions (CDRs) that are permissive to mutagenesis while maintaining antigen binding. Next, we mutagenize the most permissive CDR positions using degenerate codons to encode wild-type residues and a small number of the most frequently occurring residues at each CDR position based on natural antibody diversity. This mutagenesis approach results in antibody libraries with variants that have a wide range of numbers of CDR mutations, including antibody domains with single mutations and others with tens of mutations. Finally, we sort the modest size libraries (~10 million variants) displayed on the surface of yeast to identify CDR mutations with the greatest increases in affinity. Importantly, we find that single-domain (V_(H)H) antibodies specific for the α-synuclein protein (whose aggregation is associated with Parkinson’s disease) with the greatest gains in affinity (>5-fold) have several (four to six) CDR mutations. This finding highlights the importance of sampling combinations of CDR mutations during the first step of affinity maturation to maximize the efficiency of the process. Interestingly, we find that some natural diversity mutations simultaneously enhance all three key antibody properties (affinity, specificity, and stability) while other mutations enhance some of these properties (e.g., increased specificity) and display trade-offs in others (e.g., reduced affinity and/or stability). Computational modeling reveals that improvements in affinity are generally not due to direct interactions involving CDR mutations but rather due to indirect effects that enhance existing interactions and/or promote new interactions between the antigen and wild-type CDR residues. We expect that natural diversity mutagenesis will be useful for efficient affinity maturation of a wide range of antibody fragments and full-length antibodies.
机译:鉴定增强抗体亲和力同时保持高抗体特异性和稳定性的突变是耗时且费力的过程。在这里,我们报告了一种有效的方法,可用于系统快速地增强抗体可变域的亲和力,同时使用新型合成抗体库最大程度地提高特异性和稳定性。我们的方法首先使用计算和实验的丙氨酸扫描诱变来识别互补决定区(CDR)中允许诱变同时保持抗原结合的位点。接下来,我们基于天然抗体的多样性,使用简并密码子诱变最宽松的CDR位置,以编码野生型残基和每个CDR位置的少量最常出现的残基。这种诱变方法产生的抗体文库具有多种CDR突变,包括具有单个突变的抗体结构域和具有数十个突变的其他抗体结构域。最后,我们对酵母表面上显示的中等大小的文库(约1000万个变体)进行分类,以鉴定亲和力增加最大的CDR突变。重要的是,我们发现具有最大亲和力(> 5倍)的,对α-突触核蛋白(其聚集与帕金森氏病有关)具有特异性的单域(V_(H)H)抗体具有数种(四至六种) )CDR突变。这一发现凸显了在亲和力成熟的第一步中对CDR突变组合进行采样的重要性,以最大化该过程的效率。有趣的是,我们发现某些自然多样性突变会同时增强所有三个关键抗体特性(亲和性,特异性和稳定性),而其他突变则增强其中一些特性(例如提高特异性)并在其他特性中进行权衡(例如降低亲和力)和/或稳定性)。计算模型表明,亲和力的提高通常不是由于涉及CDR突变的直接相互作用,而是由于间接作用增强了现有相互作用和/或促进了抗原和野生型CDR残基之间的新相互作用。我们期望自然多样性诱变将可用于多种抗体片段和全长抗体的有效亲和力成熟。

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