Ribosome display: next-generation display technologies for production of antibodiesin vitro

噬菌体展示 生物制药 计算生物学 抗体库 生物 抗体 计算机科学 遗传学
作者
Mingyue He,Fazlur‐Rahman Nawaz Khan
出处
期刊:Expert Review of Proteomics [Taylor & Francis]
卷期号:2 (3): 421-430 被引量:63
标识
DOI:10.1586/14789450.2.3.421
摘要

Antibodies represent an important and growing class of biologic research reagents and biopharmaceutical products. They can be used as therapeutics in a variety of diseases. With the rapid expansion of proteomic studies and biomarker discovery, there is a need for the generation of highly specific binding reagents to study the vast number of proteins encoded by the genome. Display technologies provide powerful tools for obtaining antibodies. Aside from the preservation of natural antibody repertoires, they are capable of exploiting diversity by DNA recombination to create very large libraries for selection of novel molecules. In contrast to in vivo immunization processes, display technologies allow selection of antibodies under in vitro-defined selection condition(s), resulting in enrichment of antibodies with desired properties from large populations. In addition, in vitro selection enables the isolation of antibodies against difficult antigens including self-antigens, and this can be applied to the generation of human antibodies against human targets. Display technologies can also be combined with DNA mutagenesis for antibody evolution in vitro. Some methods are amenable to automation, permitting high-throughput generation of antibodies. Ribosome display is considered as representative of the next generation of display technologies since it overcomes the limitations of cell-based display methods by using a cell-free system, offering advantages of screening larger libraries and continuously expanding new diversity during selection. Production of display-derived antibodies can be achieved by choosing one of a variety of prokaryotic and eukaryotic cell-based expression systems. In the near future, cell-free protein synthesis may be developed as an alternative for large-scale generation of antibodies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助廖英健采纳,获得10
2秒前
嘎嘎嘎发布了新的文献求助10
3秒前
小小完成签到,获得积分10
3秒前
长期素食完成签到,获得积分20
5秒前
fafafa完成签到,获得积分10
6秒前
慕青应助科研通管家采纳,获得10
8秒前
Ava应助科研通管家采纳,获得10
8秒前
Hello应助科研通管家采纳,获得10
8秒前
共享精神应助科研通管家采纳,获得10
8秒前
科研通AI5应助科研通管家采纳,获得10
8秒前
慕青应助科研通管家采纳,获得10
8秒前
彭于彦祖应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
大个应助科研通管家采纳,获得10
9秒前
Akim应助科研通管家采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
自由茈应助科研通管家采纳,获得100
9秒前
kingwill应助科研通管家采纳,获得20
9秒前
天天快乐应助科研通管家采纳,获得10
9秒前
英姑应助科研通管家采纳,获得10
9秒前
Jeff完成签到,获得积分10
10秒前
10秒前
cdercder应助乐观寻绿采纳,获得20
10秒前
潇洒汉堡完成签到,获得积分20
11秒前
12秒前
you完成签到,获得积分10
14秒前
嘎嘎嘎完成签到,获得积分20
16秒前
下雨天发布了新的文献求助10
16秒前
16秒前
科研通AI5应助玉尘采纳,获得10
17秒前
18秒前
菜芽君完成签到,获得积分10
18秒前
bkagyin应助宝宝烤面包采纳,获得10
19秒前
兴奋黄蜂完成签到,获得积分10
21秒前
Zc_L完成签到,获得积分10
22秒前
22秒前
闪闪楷瑞完成签到,获得积分10
24秒前
风中绮玉发布了新的文献求助10
25秒前
Cai完成签到,获得积分10
25秒前
苏苏苏完成签到,获得积分10
27秒前
高分求助中
The organometallic chemistry of the transition metals 7th 666
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Seven new species of the Palaearctic Lauxaniidae and Asteiidae (Diptera) 400
Handbook of Laboratory Animal Science 300
Fundamentals of Medical Device Regulations, Fifth Edition(e-book) 300
A method for calculating the flow in a centrifugal impeller when entropy gradients are present 240
What’s the Evidence? An Investigation into Teacher Quality 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3701566
求助须知:如何正确求助?哪些是违规求助? 3251755
关于积分的说明 9876150
捐赠科研通 2963720
什么是DOI,文献DOI怎么找? 1625279
邀请新用户注册赠送积分活动 769926
科研通“疑难数据库(出版商)”最低求助积分说明 742630