Preparation and Epitope Identification of Monoclonal Antibodies against the NS6 Protein of Porcine Deltacoronavirus (PDCoV)

表位 单克隆抗体 抗原性 生物 病毒学 表位定位 免疫印迹 抗体 冠状病毒 免疫学 2019年冠状病毒病(COVID-19) 基因 遗传学 医学 传染病(医学专业) 病理 疾病
作者
Huiguang Wu,Xian Sun,Chen Li,Sihan Xie,Zhenhai Chen
出处
期刊:International Journal of Molecular Sciences [Multidisciplinary Digital Publishing Institute]
卷期号:25 (14): 7645-7645
标识
DOI:10.3390/ijms25147645
摘要

Porcine deltacoronavirus (PDCoV) is an emerging enteric pathogen that causes substantial economic losses in the swine industry worldwide. The PDCoV NS6 protein is an accessory protein that plays a pivotal role in the viral life cycle and immune evasion. However, the functions of NS6 and its role in PDCoV pathogenesis remain largely unknown. In this study, we prepared a monoclonal antibody (mAb) 5-A11 that specifically recognizes the PDCoV NS6 protein. The mAb 5-A11 exhibited high specificity for PDCoV, with no cross-reactivity with several major porcine pathogenic viruses. Furthermore, the epitope recognized by mAb 5-A11 was precisely mapped to residues 70EYGSIYGKDFI80 of the NS6 protein using Western blot analysis. Notably, this epitope is highly conserved among different PDCoV isolates. Substantial variations were observed when comparing this epitope with the corresponding regions in the NS6 proteins of other δ coronaviruses, suggesting potential differences in the structure, function, and antigenicity of their NS6 proteins. Our findings provide valuable tools and insights for further elucidating the functions of the NS6 protein and its role in PDCoV pathogenesis, as well as for developing diagnostic and therapeutic strategies against PDCoV infection.
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
火树银花发布了新的文献求助10
刚刚
科研通AI5应助哒哒哒采纳,获得10
1秒前
荣枫完成签到,获得积分10
1秒前
1秒前
善学以致用应助菠萝汁采纳,获得10
4秒前
花景铭完成签到,获得积分10
5秒前
5秒前
蒸芋芋了发布了新的文献求助10
6秒前
7秒前
诚心仰完成签到 ,获得积分10
7秒前
9秒前
wanci应助zzzh采纳,获得10
9秒前
10Shi完成签到 ,获得积分10
10秒前
祖乐松发布了新的文献求助10
10秒前
11秒前
12秒前
猫臭发布了新的文献求助10
13秒前
13秒前
13秒前
14秒前
ZJakariae完成签到,获得积分10
14秒前
14秒前
完美世界应助科学家采纳,获得10
14秒前
早日毕业完成签到,获得积分10
14秒前
14秒前
善学以致用应助神勇一寡采纳,获得10
14秒前
15秒前
15秒前
15秒前
coconut完成签到,获得积分20
16秒前
乔123发布了新的文献求助10
16秒前
16秒前
祖乐松完成签到,获得积分10
17秒前
热心市民小红花应助Signal采纳,获得10
17秒前
18秒前
18秒前
猫臭完成签到,获得积分10
18秒前
Dxy-TOFA发布了新的文献求助10
18秒前
fhfgfjhhjk完成签到,获得积分10
19秒前
hepenglov发布了新的文献求助10
19秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
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 3842155
求助须知:如何正确求助?哪些是违规求助? 3384295
关于积分的说明 10533896
捐赠科研通 3104642
什么是DOI,文献DOI怎么找? 1709781
邀请新用户注册赠送积分活动 823319
科研通“疑难数据库(出版商)”最低求助积分说明 774029