Enzymatic Desialylation Enables Reliable Charge Variant Characterization of Highly Glycosylated and Sialylated Fc Fusion Proteins

表征(材料科学) 化学 融合 生物化学 融合蛋白 计算生物学 生物 重组DNA 材料科学 纳米技术 基因 语言学 哲学
作者
Xiaona Wen,Anita P. Liu,Jing Song,Chuan Leng,Jingzhou Wang,Beatrice Russo,Geetha Thiagarajan,Hongxia Wang,Ximeng Y. Dow,Xiaoqing Hua,Xiaoping Ao,Sarita Mittal,Lynn Gennaro,Rico C. Gunawan
出处
期刊:ACS pharmacology & translational science [American Chemical Society]
卷期号:8 (2): 394-408
标识
DOI:10.1021/acsptsci.4c00460
摘要

Fusion proteins constitute a class of engineered therapeutics and have emerged as promising candidates for disease treatment. However, the structural complexity and heterogeneity of fusion proteins make their characterization extremely challenging, and thus, an innovative and comprehensive analytical toolbox is needed. Here, for the first time, we demonstrate a novel and robust workflow to evaluate charge variants for a highly glycosylated fusion protein with heavy sialylation using imaged capillary isoelectric focusing (icIEF). In the development of the icIEF method, key factors that were systematically investigated include the desialylation level, the stability of the desialylated molecule, incubation time and temperature of desialylation, protein concentrations, urea and l-arginine effects on the tertiary structure, and instrumental comparability. Multivariate and correlation analyses were subsequently applied to confirm the impacts of the parameters evaluated. Furthermore, a microfluidic chip-based icIEF system coupled with ultraviolet detection and mass spectrometry (icIEF-UV/MS) was utilized to identify critical post-translational modifications and ameliorate the understanding of charge variants. Our study demonstrates that this workflow enables a mechanistic understanding of charge variants for heavily sialylated therapeutics.
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
Yuan88发布了新的文献求助10
1秒前
1秒前
joodeuk完成签到,获得积分10
1秒前
2秒前
zzz完成签到,获得积分10
2秒前
2秒前
塔木完成签到,获得积分10
3秒前
汉堡包应助小城采纳,获得10
3秒前
3秒前
3秒前
打打应助卡塔赫纳采纳,获得10
3秒前
Ava应助qqqyoyoyo采纳,获得10
4秒前
zzc发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
5秒前
大头大头下雨不愁完成签到,获得积分10
5秒前
Samia完成签到,获得积分10
5秒前
wu发布了新的文献求助80
6秒前
哇哇哇发布了新的文献求助10
6秒前
6秒前
任性雨安完成签到 ,获得积分10
6秒前
ZHY2023发布了新的文献求助10
7秒前
bkagyin应助Henry采纳,获得10
7秒前
7秒前
脑洞疼应助非烟采纳,获得10
7秒前
霞霞完成签到,获得积分20
7秒前
7秒前
鸽子咕咕叫完成签到,获得积分10
7秒前
科研通AI2S应助Sg采纳,获得10
7秒前
禅心发布了新的文献求助10
7秒前
7秒前
叶落风行完成签到,获得积分20
7秒前
7秒前
8秒前
jassica9发布了新的文献求助10
8秒前
清爽松鼠完成签到 ,获得积分10
8秒前
8秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 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 Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Advanced Memory Technology: Functional Materials and Devices 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5692816
求助须知:如何正确求助?哪些是违规求助? 5090275
关于积分的说明 15209741
捐赠科研通 4849989
什么是DOI,文献DOI怎么找? 2601457
邀请新用户注册赠送积分活动 1553204
关于科研通互助平台的介绍 1511374