Automated Enzymatic Deglycosylation of Monoclonal Antibody with the SampleStream Platform

作者
Troy D. Fisher,Philip D. Compton,Matthew T. Robey,Ryan T. Fellers,Neil L. Kelleher
出处
期刊:Journal of the American Society for Mass Spectrometry [American Chemical Society]
标识
DOI:10.1021/jasms.5c00242
摘要

Engineered monoclonal antibodies have proven themselves as invaluable biotherapeutics used in clinics worldwide. In discovery, development, and production, it is essential that they are accurately validated to ensure their homogeneity, consistency, safety, and effectiveness, which are commonly conducted via mass spectrometric analysis. However, validation processes can be manual, time-consuming, and costly. One hindrance in the analytical workflow is the relatively long time required to deglycosylate native mAbs with PNGase F on the benchtop, which is usually done to reduce the spectral complexity, increase the ionization efficiency, and facilitate the identification of glycosylation sites. To circumvent this obstacle, a workflow on the SampleStream Platform was developed and optimized to automate in-channel PNGase F-mediated deglycosylation of native monoclonal antibody at unprecedented speed, accomplishing 86% deglycosylation in 3 min. The presented workflow offers a promising strategy to reduce discovery and development costs and streamline the characterization of antibody-based biopharmaceuticals.
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
正直的箴关注了科研通微信公众号
刚刚
刚刚
llwwhh完成签到,获得积分10
刚刚
独特的乐安完成签到,获得积分20
刚刚
可爱的猪猪完成签到,获得积分10
刚刚
xy1114发布了新的文献求助10
刚刚
2秒前
小橙子发布了新的文献求助10
2秒前
动听若灵完成签到,获得积分10
2秒前
Orange应助无私的画笔采纳,获得10
3秒前
乐观的名发布了新的文献求助10
3秒前
怀念逸发布了新的文献求助10
3秒前
华仔应助整齐山水采纳,获得30
4秒前
顺利静竹发布了新的文献求助10
4秒前
sun关闭了sun文献求助
4秒前
6秒前
8秒前
specium发布了新的文献求助10
8秒前
9秒前
彭于晏应助小橙子采纳,获得10
9秒前
11秒前
11秒前
烟花应助隐形的半芹采纳,获得10
11秒前
12秒前
12秒前
14秒前
云杉木发布了新的文献求助10
14秒前
v0id应助jgg采纳,获得10
15秒前
15秒前
七叶树完成签到,获得积分10
16秒前
yuanyuan完成签到,获得积分10
16秒前
2580852qwe发布了新的文献求助10
17秒前
xxrj发布了新的文献求助10
17秒前
XZTX发布了新的文献求助10
18秒前
xcx完成签到,获得积分20
18秒前
StarryskyAxi完成签到,获得积分10
18秒前
云杉木完成签到,获得积分10
20秒前
bleh完成签到,获得积分10
22秒前
22秒前
曲筱音完成签到,获得积分10
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7584626
求助须知:如何正确求助?哪些是违规求助? 9163194
关于积分的说明 19610092
捐赠科研通 7166370
什么是DOI,文献DOI怎么找? 3266472
关于科研通互助平台的介绍 2431470
邀请新用户注册赠送积分活动 2258135