Optimizing antibody expression: The nuts and bolts
Optimizing antibody expression: The nuts and bolts
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DOI：
10.1016/j.ymeth.2017.01.009
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发表时间：
2017-03-01
期刊：
影响因子：
4.8
通讯作者：
Ravi, Shiva Shankar
中科院分区：
文献类型：
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作者：
Ayyar, B. Vijayalakshmi;Arora, Sushrut;Ravi, Shiva Shankar
抗体是生物医学研究以及诊断和治疗开发中广泛使用的实体。这些应用中的许多需要大量的抗体。然而，满足全球市场对抗体不断增长的需求是突出的挑战之一。保持抗体供需平衡的需要促使研究人员发现了优化其表达的更好手段和方法。这些策略旨在增加抗体的体积生产率沿着降低相关的制造成本。近年来，由于新的克隆策略、基因操作技术和一系列细胞和载体工程技术的引入，以及发酵技术的进步，重组蛋白技术取得了重大进展。这些创新也对抗体表达非常有益。抗体表达取决于多种因素的复杂相互作用，这些因素可能需要在不同水平上进行微调以实现最大产量。然而，每种抗体都是独特的，需要单独考虑和定制以优化相关的表达参数。本文综述了几种最先进的方法，如宿主选择，菌株工程，密码子优化，基因优化，载体修饰和工艺优化，被认为是适合于增强抗体表达的全面概述。(C)2017爱思唯尔公司All rights reserved.
Antibodies are extensively utilized entities in biomedical research, and in the development of diagnostics and therapeutics. Many of these applications require high amounts of antibodies. However, meeting this ever-increasing demand of antibodies in the global market is one of the outstanding challenges. The need to maintain a balance between demand and supply of antibodies has led the researchers to discover better means and methods for optimizing their expression. These strategies aim to increase the volumetric productivity of the antibodies along with the reduction of associated manufacturing costs. Recent years have witnessed major advances in recombinant protein technology, owing to the introduction of novel cloning strategies, gene manipulation techniques, and an array of cell and vector engineering techniques, together with the progress in fermentation technologies. These innovations were also highly beneficial for antibody expression.Antibody expression depends upon the complex interplay of multiple factors that may require fine tuning at diverse levels to achieve maximum yields. However, each antibody is unique and requires individual consideration and customization for optimizing the associated expression parameters. This review provides a comprehensive overview of several state-of-the-art approaches, such as host selection, strain engineering, codon optimization, gene optimization, vector modification and process optimization that are deemed suitable for enhancing antibody expression. (C) 2017 Elsevier Inc. All rights reserved.