Binding affinity determination of therapeutic antibodies to membrane protein targets: Kinetic Exclusion Assay using cellular membranes for anti-CD20 antibody

化学 抗体 表位 离解常数 单克隆抗体 单元格排序 分子生物学 生物物理学 受体 生物化学 细胞 生物 免疫学
作者
Amit Vaish,Joanne Lin,Helen J. McBride,Peter Grandsard,Qing Chen
出处
期刊:Analytical Biochemistry [Elsevier BV]
卷期号:609: 113974-113974 被引量:6
标识
DOI:10.1016/j.ab.2020.113974
摘要

Abstract Antibody-based therapeutics targeting membrane proteins have evolved as a major modality for the treatment of cancer, inflammation and autoimmune diseases. There are numerous challenges, ranging from desired epitope expression to reliable binding/functional assays which are associated with developing antibodies for this target class. Specifically, having a robust methodology for characterizing antibody interaction with a membrane protein target is essential for providing guidance on dosing, potency and thus expected efficacy. Fluorescence-activated cell sorting (FACS) has been commonly used to characterize antibodies binding to membrane protein targets. FACS provides information about the antibody-receptor complex (antibody bound to cells) and the apparent equilibrium dissociation constant ( K D ′ ) is elucidated by fitting the antibody-receptor binding isotherm as a function of total antibody concentration to a nonlinear regression model. Conversely, Kinetic Exclusion Assay (KinExA) has been used to measure solution-based equilibrium dissociation constant (KD) of antibodies. Here, KD is determined by measuring the free antibody concentration at equilibrium in a series of solutions in which the antibody is at constant concentration and the receptor (either in the membrane or the cell) is titrated. We measured the binding affinity of the anti-CD20 antibody, Rituximab, using both FACS and KinExA. There was ~25-fold difference in the binding affinity measured by these two techniques. We have explored this discrepancy through additional experiments around the mathematical framework involved in the analysis of these two different binding assays. Finally, our study concluded that KinExA enables accurate measurement of the KD for strong protein-protein interactions (sub-nanomolar values) compared to FACS.
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
彪壮的青雪完成签到 ,获得积分10
刚刚
1秒前
可爱的函函应助wy0409采纳,获得10
1秒前
guo完成签到,获得积分10
1秒前
2秒前
钟迪完成签到,获得积分10
2秒前
断水断粮的科研民工完成签到,获得积分10
2秒前
4秒前
故酒应助jidou1011采纳,获得10
4秒前
虎虎完成签到,获得积分10
5秒前
liangguangyuan完成签到 ,获得积分10
5秒前
BareBear发布了新的文献求助10
6秒前
余琳完成签到,获得积分10
6秒前
zhangsf88完成签到,获得积分10
6秒前
longmad完成签到,获得积分10
6秒前
活泼的断秋完成签到,获得积分20
6秒前
jianxin发布了新的文献求助10
7秒前
yidashi完成签到,获得积分10
8秒前
Linsey完成签到,获得积分10
8秒前
无限毛豆完成签到 ,获得积分10
8秒前
hugebear完成签到,获得积分10
8秒前
Dudidu完成签到,获得积分10
9秒前
传奇3应助晓千晨采纳,获得10
10秒前
田静然发布了新的文献求助20
10秒前
wp完成签到,获得积分10
10秒前
追寻的语梦完成签到,获得积分10
10秒前
airtermis完成签到 ,获得积分10
10秒前
Haonan完成签到,获得积分10
11秒前
番茄炒蛋不要番茄le完成签到,获得积分10
12秒前
科研通AI5应助stszd采纳,获得10
12秒前
明理小凝完成签到 ,获得积分10
13秒前
里埃尔塞因斯完成签到 ,获得积分10
14秒前
超帅的又槐完成签到,获得积分10
14秒前
丘比特应助Dudidu采纳,获得10
15秒前
浩浩完成签到 ,获得积分10
15秒前
jin关闭了jin文献求助
15秒前
02完成签到,获得积分10
17秒前
是陶不言啊完成签到,获得积分10
18秒前
婷婷完成签到,获得积分10
18秒前
galeno完成签到,获得积分10
18秒前
高分求助中
Encyclopedia of Mathematical Physics 2nd edition 888
Technologies supporting mass customization of apparel: A pilot project 600
Introduction to Strong Mixing Conditions Volumes 1-3 500
Optical and electric properties of monocrystalline synthetic diamond irradiated by neutrons 320
共融服務學習指南 300
Essentials of Pharmacoeconomics: Health Economics and Outcomes Research 3rd Edition. by Karen Rascati 300
Political Ideologies Their Origins and Impact 13 edition 240
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 3804329
求助须知:如何正确求助?哪些是违规求助? 3349122
关于积分的说明 10341845
捐赠科研通 3065225
什么是DOI,文献DOI怎么找? 1682994
邀请新用户注册赠送积分活动 808620
科研通“疑难数据库(出版商)”最低求助积分说明 764620