Bioanalytical approaches to support the development of antibody-oligonucleotide conjugate (AOC) therapeutic proteins

寡核苷酸 生物分析 小干扰RNA RNA干扰 计算生物学 基因表达 化学 核糖核酸 生物 细胞生物学 色谱法 基因 遗传学
作者
Anthony Murphy,Ryan C. Hill,Michael J. Berna
出处
期刊:Xenobiotica [Taylor & Francis]
卷期号:54 (8): 552-562 被引量:7
标识
DOI:10.1080/00498254.2024.2339983
摘要

RNA interference (RNAi) is a biological process that evolved to protect eukaryotic organisms from foreign genes delivered by viruses. This process has been adapted as a powerful tool to treat numerous diseases through the delivery of small-interfering RNAs (siRNAs) to target cells to alter aberrant gene expression.Antibody-oligonucleotide conjugates (AOCs) are monoclonal antibodies with complexed siRNA or antisense oligonucleotides (ASOs) that have emerged to address some of the challenges faced by naked or chemically conjugated siRNA, which include rapid clearance from systemic circulation and lack of selective delivery of siRNA to target cells.It is essential to characterise the ADME properties of an AOC during development to optimise distribution to target tissues, to minimise the impact of biotransformation on exposure, and to characterise the PK/PD relationship to guide translation. However, owing to the complexity of AOC structure, this presents significant bioanalytical challenges, and multiple bioanalytical measurements are required to investigate the pharmacokinetics and biotransformation of the antibody, linker, and siRNA payload.In this paper, we describe an analytical workflow that details in vivo characterisation of AOCs through measurement of their distinct molecular components to provide the basis for greater understanding of their ADME properties. Although the approaches herein can be applied to in vitro characterisation of AOCs, this paper will focus on in vivo applications. This workflow relies on high-resolution mass spectrometry as the principal means of detection and leverages chromatographic, affinity-based, and enzymatic sample preparation steps.
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
麻辣香锅发布了新的文献求助10
刚刚
完美世界应助Teamo采纳,获得10
刚刚
Mawenwen发布了新的文献求助10
1秒前
青冥之外完成签到,获得积分10
2秒前
科研通AI6.3应助Helen采纳,获得10
2秒前
beyonder发布了新的文献求助10
3秒前
orixero应助拥抱采纳,获得10
3秒前
优秀荔枝完成签到,获得积分10
3秒前
沉静婉清发布了新的文献求助10
3秒前
haojiewu发布了新的文献求助10
3秒前
bxtx发布了新的文献求助20
4秒前
Akim应助小满采纳,获得10
4秒前
杨光完成签到,获得积分10
4秒前
666888发布了新的文献求助10
6秒前
英俊的铭应助城北徐公主采纳,获得10
6秒前
6秒前
7秒前
Somebody完成签到,获得积分10
7秒前
科研通AI6.4应助敛袂采纳,获得10
7秒前
10发布了新的文献求助10
10秒前
xiaowu发布了新的文献求助10
10秒前
11秒前
12秒前
wanci应助莫问采纳,获得10
12秒前
华仔应助要减肥的PANDA采纳,获得10
12秒前
隐形曼青应助Sledge采纳,获得10
13秒前
nb发布了新的文献求助10
13秒前
高士琴完成签到,获得积分10
13秒前
z620完成签到,获得积分10
13秒前
13秒前
111完成签到,获得积分10
13秒前
Lucas应助沉静婉清采纳,获得10
14秒前
完美世界应助姬文博采纳,获得10
15秒前
15秒前
15秒前
李爱国应助魁梧的小懒猪采纳,获得10
15秒前
森岛完成签到,获得积分10
16秒前
Hello应助huang采纳,获得30
16秒前
16秒前
Hello应助123采纳,获得10
17秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
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 7287705
求助须知:如何正确求助?哪些是违规求助? 8907418
关于积分的说明 18851370
捐赠科研通 6956456
什么是DOI,文献DOI怎么找? 3208678
关于科研通互助平台的介绍 2378546
邀请新用户注册赠送积分活动 2184319