Development of robust antibody purification by optimizing protein‐A chromatography in combination with precipitation methodologies

色谱法 单克隆抗体 化学 杂质 过程开发 洗脱 降水 蛋白质纯化 蛋白质A 下游加工 亲和层析 抗体 生物化学 生物 物理 业务 气象学 有机化学 过程管理 免疫学
作者
Srinivas Chollangi,Ray Parker,Nripen Singh,Yi Li,Michael Borys,Zheng Jian Li
出处
期刊:Biotechnology and Bioengineering [Wiley]
卷期号:112 (11): 2292-2304 被引量:82
标识
DOI:10.1002/bit.25639
摘要

To be administered to patients, therapeutic monoclonal antibodies must have very high purity, with process related impurities like host-cell proteins (HCPs) and DNA reduced to <100 ppm and <10 ppb, respectively, relative to desired product. Traditionally, Protein-A chromatography as a capture step has been the work horse for clearing a large proportion of these impurities. However, remaining levels of process and product related impurities still present significant challenges on the development of polishing steps further downstream. In this study, we have incorporated high throughput screening to evaluate three areas of separation: (i) Harvest treatment; (ii) Protein-A Chromatography; and (iii) Low pH Viral Inactivation. Precipitation with low pH treatment of cell culture harvest resulted in selective removal of impurities while manipulating the pH of wash buffers used in Protein-A chromatography and incorporating wash additives that disrupt various modes of protein-protein interaction resulted in further and more pronounced reduction in impurity levels. In addition, our study also demonstrate that optimizing the neutralization pH post Protein-A elution can result in selective removal of impurities. When applied over multiple mAbs, this optimization method proved to be very robust and the strategy provides a new and improved purification process that reduces process related impurities like HCPs and DNA to drug substance specifications with just one chromatography column and open avenues for significant decrease in operating costs in monoclonal antibody purification.
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
1秒前
2秒前
2秒前
jiaojaioo完成签到,获得积分10
2秒前
ryky发布了新的文献求助10
2秒前
蒋丞发布了新的文献求助10
2秒前
妮妮发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
hellocc发布了新的文献求助10
4秒前
芋泥发布了新的文献求助10
4秒前
爱妞完成签到,获得积分10
4秒前
5秒前
冰子完成签到 ,获得积分10
5秒前
5秒前
慕青应助鳗鱼绿蝶采纳,获得10
5秒前
一只A茂发布了新的文献求助10
6秒前
陈龙完成签到,获得积分10
7秒前
传奇3应助科研小萝卜采纳,获得30
7秒前
8秒前
8秒前
小羊小羊完成签到 ,获得积分10
8秒前
打打应助小小喵采纳,获得10
9秒前
koi完成签到,获得积分10
10秒前
11秒前
11秒前
小刘鸭鸭发布了新的文献求助10
11秒前
11秒前
棋鬼王发布了新的文献求助10
11秒前
ycyang发布了新的文献求助10
11秒前
ludens完成签到,获得积分10
12秒前
wp关闭了wp文献求助
12秒前
12秒前
12秒前
Ava应助平常的寻真采纳,获得10
13秒前
深情安青应助芋泥采纳,获得10
13秒前
木圭完成签到,获得积分10
13秒前
yyawkx完成签到,获得积分10
13秒前
FashionBoy应助1937采纳,获得10
14秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3524730
求助须知:如何正确求助?哪些是违规求助? 3105601
关于积分的说明 9275012
捐赠科研通 2802788
什么是DOI,文献DOI怎么找? 1538175
邀请新用户注册赠送积分活动 716104
科研通“疑难数据库(出版商)”最低求助积分说明 709191