Sequence-based design and construction of synthetic nanobody library

IF 3.6 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Chuanyong Liu, Yanping Li, Qinghua He, Jinheng Fu, Qingting Wei, Hao Lin, Ying Luo, Zhui Tu
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引用次数: 0

Abstract

Nanobody (Nb), the smallest antibody fragments known to bind antigens, is now widely applied to various studies, including protein structure analysis, bioassay, diagnosis, and biomedicine. The traditional approach to generating specific nanobodies involves animal immunization which is time-consuming and expensive. As the understanding of the antibody repertoire accumulation, the synthetic library, which is devoid of animals, has attracted attention widely in recent years. Here, we describe a synthetic phage display library (S-Library), designed based on the systematic analysis of the next-generation sequencing (NGS) of nanobody repertoire. The library consists of a single highly conserved scaffold (IGHV3S65*01-IGHJ4*01) and complementary determining regions of constrained diversity. The S-Library containing 2.19 × 108 independent clones was constructed by the one-step assembly and rapid electro-transformation. The S-Library was screened against various targets (Nb G8, fusion protein of Nb G8 and green fluorescent protein, bovine serum albumin, ovalbumin, and acetylcholinesterase). In comparison, a naïve library (N-Library) from the source of 13 healthy animals was constructed and screened against the same targets as the S-Library. Binders were isolated from both S-Library and N-Library. The dynamic affinity was evaluated by the biolayer interferometry. The data confirms that the feature of the Nb repertoire is conducive to reducing the complexity of library design, thus allowing the S-Library to be built on conventional reagents and primers.

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基于序列设计和构建合成纳米抗体库。
纳米抗体(Nb)是已知能与抗原结合的最小抗体片段,目前已广泛应用于各种研究,包括蛋白质结构分析、生物测定、诊断和生物医学。生成特异性纳米抗体的传统方法涉及动物免疫,既费时又昂贵。随着人们对抗体谱系认识的不断深入,不需要动物的合成库近年来受到广泛关注。在此,我们介绍了一种合成噬菌体展示文库(S-Library),它是在对纳米抗体库的下一代测序(NGS)进行系统分析的基础上设计的。该文库由一个高度保守的支架(IGHV3S65*01-IGHJ4*01)和具有受限多样性的互补决定区组成。通过一步组装和快速电转化构建了包含 2.19 × 108 个独立克隆的 S 库。针对不同的靶标(Nb G8、Nb G8 与绿色荧光蛋白的融合蛋白、牛血清白蛋白、卵清蛋白和乙酰胆碱酯酶)对 S 库进行了筛选。相比之下,我们从 13 只健康动物的样本中构建了天真样本库(N-Library),并针对与 S-Library相同的靶标进行了筛选。从 S-文库和 N-文库中都分离出了粘合剂。通过生物层干涉测量法评估了动态亲和力。数据证实了 Nb 基因库的特点有利于降低文库设计的复杂性,从而使 S 型文库可以用常规试剂和引物构建。
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来源期刊
Biotechnology and Bioengineering
Biotechnology and Bioengineering 工程技术-生物工程与应用微生物
CiteScore
7.90
自引率
5.30%
发文量
280
审稿时长
2.1 months
期刊介绍: Biotechnology & Bioengineering publishes Perspectives, Articles, Reviews, Mini-Reviews, and Communications to the Editor that embrace all aspects of biotechnology. These include: -Enzyme systems and their applications, including enzyme reactors, purification, and applied aspects of protein engineering -Animal-cell biotechnology, including media development -Applied aspects of cellular physiology, metabolism, and energetics -Biocatalysis and applied enzymology, including enzyme reactors, protein engineering, and nanobiotechnology -Biothermodynamics -Biofuels, including biomass and renewable resource engineering -Biomaterials, including delivery systems and materials for tissue engineering -Bioprocess engineering, including kinetics and modeling of biological systems, transport phenomena in bioreactors, bioreactor design, monitoring, and control -Biosensors and instrumentation -Computational and systems biology, including bioinformatics and genomic/proteomic studies -Environmental biotechnology, including biofilms, algal systems, and bioremediation -Metabolic and cellular engineering -Plant-cell biotechnology -Spectroscopic and other analytical techniques for biotechnological applications -Synthetic biology -Tissue engineering, stem-cell bioengineering, regenerative medicine, gene therapy and delivery systems The editors will consider papers for publication based on novelty, their immediate or future impact on biotechnological processes, and their contribution to the advancement of biochemical engineering science. Submission of papers dealing with routine aspects of bioprocessing, description of established equipment, and routine applications of established methodologies (e.g., control strategies, modeling, experimental methods) is discouraged. Theoretical papers will be judged based on the novelty of the approach and their potential impact, or on their novel capability to predict and elucidate experimental observations.
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