Current strategies for the use of affinity tags and tag removal for the purification of recombinant proteins

亲和层析 标志标签 重组DNA 蛋白质纯化 外肽酶 Myc标签 串联亲和纯化 计算生物学 下游加工 靶蛋白 蛋白质标签 融合蛋白 生物化学 化学 生物 基因
作者
José Arnau,Conni Lauritzen,Gitte Ebert Petersen,John Pedersen
出处
期刊:Protein Expression and Purification [Elsevier BV]
卷期号:48 (1): 1-13 被引量:591
标识
DOI:10.1016/j.pep.2005.12.002
摘要

Affinity tags are highly efficient tools for protein purification. They allow the purification of virtually any protein without any prior knowledge of its biochemical properties. The use of affinity tags has therefore become widespread in several areas of research e.g., high throughput expression studies aimed at finding a biological function to large numbers of yet uncharacterized proteins. In some cases, the presence of the affinity tag in the recombinant protein is unwanted or may represent a disadvantage for the projected application of the protein, like for clinical use. Therefore, an increasing number of approaches are available at present that are designed for the removal of the affinity tag from the recombinant protein. Most of these methods employ recombinant endoproteases that recognize a specific sequence. These process enzymes can subsequently be removed from the process by affinity purification, since they also include a tag. Here, a survey of the most common affinity tags and the current methods for tag removal is presented, with special emphasis on the removal of N-terminal histidine tags using TAGZyme, a system based on exopeptidase cleavage. In the quest to reduce the significant costs associated with protein purification at large scale, relevant aspects involved in the development of downstream processes for pharmaceutical protein production that incorporate a tag removal step are also discussed. A comparison of the yield of standard vs. affinity purification together with an example of tag removal using TAGZyme is also included.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
闫栋发布了新的文献求助10
1秒前
bjyx发布了新的文献求助10
2秒前
秋石完成签到,获得积分10
2秒前
王不羁完成签到,获得积分10
2秒前
体贴半仙发布了新的文献求助10
2秒前
低空飞行发布了新的文献求助10
3秒前
li发布了新的文献求助10
3秒前
充电宝应助科研通管家采纳,获得10
3秒前
所所应助科研通管家采纳,获得10
3秒前
浮游应助科研通管家采纳,获得10
4秒前
小幸运发布了新的文献求助10
4秒前
4秒前
4秒前
云山发布了新的文献求助10
4秒前
小二郎应助科研通管家采纳,获得10
4秒前
CodeCraft应助科研通管家采纳,获得10
4秒前
852应助科研通管家采纳,获得10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
4秒前
Lucas应助科研通管家采纳,获得10
4秒前
李健应助科研通管家采纳,获得10
4秒前
完美世界应助科研通管家采纳,获得10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
爆米花应助科研通管家采纳,获得10
5秒前
微糖应助科研通管家采纳,获得10
5秒前
今后应助科研通管家采纳,获得10
5秒前
CipherSage应助科研通管家采纳,获得10
5秒前
Lucas应助66采纳,获得10
5秒前
pluto应助科研通管家采纳,获得10
5秒前
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
浮游应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
科目三应助科研通管家采纳,获得10
5秒前
英俊的铭应助科研通管家采纳,获得50
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
CipherSage应助科研通管家采纳,获得10
5秒前
英俊的铭应助科研通管家采纳,获得10
5秒前
6秒前
高分求助中
Encyclopedia of Quaternary Science Third edition 2025 12000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Beyond the sentence : discourse and sentential form / edited by Jessica R. Wirth 600
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
Vertebrate Palaeontology, 5th Edition 500
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5338621
求助须知:如何正确求助?哪些是违规求助? 4475739
关于积分的说明 13929215
捐赠科研通 4370994
什么是DOI,文献DOI怎么找? 2401582
邀请新用户注册赠送积分活动 1394626
关于科研通互助平台的介绍 1366445