Selective Recognition of Carbohydrate Antigens by Germline Antibodies Isolated from AID Knockout Mice

生殖系 抗体 抗原 体细胞突变 单克隆抗体 聚糖 化学 胞苷脱氨酶 糖组学 分子生物学
作者
Andrew T DeLaitsch,Jacey R Pridgen,Avery Tytla,Megan L Peach,Rayleen Hu,David W Farnsworth,Aislinn K. McMillan,Natalie Flanagan,J Sebastian Temme,Marc C Nicklaus,Jeffrey C. Gildersleeve
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
标识
DOI:10.1021/jacs.1c12745
摘要

Germline antibodies, the initial set of antibodies produced by the immune system, are critical for host defense, and information about their binding properties can be useful for designing vaccines, understanding the origins of autoantibodies, and developing monoclonal antibodies. Numerous studies have found that germline antibodies are polyreactive with malleable, flexible binding pockets. While insightful, it remains unclear how broadly this model applies, as there are many families of antibodies that have not yet been studied. In addition, the methods used to obtain germline antibodies typically rely on assumptions and do not work well for many antibodies. Herein, we present a distinct approach for isolating germline antibodies that involves immunizing activation-induced cytidine deaminase (AID) knockout mice. This strategy amplifies antigen-specific B cells, but somatic hypermutation does not occur because AID is absent. Using synthetic haptens, glycoproteins, and whole cells, we obtained germline antibodies to an assortment of clinically important tumor-associated carbohydrate antigens, including Lewis Y, the Tn antigen, sialyl Lewis C, and Lewis X (CD15/SSEA-1). Through glycan microarray profiling and cell binding, we demonstrate that all but one of these germline antibodies had high selectivity for their glycan targets. Using molecular dynamics simulations, we provide insights into the structural basis of glycan recognition. The results have important implications for designing carbohydrate-based vaccines, developing anti-glycan monoclonal antibodies, and understanding antibody evolution within the immune system.

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
刚刚
看起来不太强完成签到,获得积分10
刚刚
英姑应助123采纳,获得10
1秒前
呆执完成签到,获得积分20
2秒前
轻松鞋子完成签到,获得积分20
3秒前
4秒前
传奇3应助予安采纳,获得10
5秒前
Jasper应助haobaba233采纳,获得10
5秒前
从容的完成签到 ,获得积分10
5秒前
qian发布了新的文献求助10
6秒前
7秒前
寞歆完成签到 ,获得积分10
7秒前
你说你要干干干完成签到,获得积分20
8秒前
9秒前
今今完成签到,获得积分10
9秒前
9秒前
飞快的盼易完成签到,获得积分10
10秒前
10秒前
无足鸟完成签到,获得积分10
11秒前
WangXinlin完成签到,获得积分10
12秒前
12秒前
科研通AI6.4应助平常静丹采纳,获得10
12秒前
Zhang关注了科研通微信公众号
14秒前
星辰大海应助小乔采纳,获得10
14秒前
15秒前
记得开心完成签到,获得积分10
15秒前
17秒前
17秒前
天才城完成签到 ,获得积分10
19秒前
20秒前
20秒前
高海龙完成签到 ,获得积分10
21秒前
打打应助喀喀里采纳,获得10
21秒前
22秒前
22秒前
22秒前
阿飞发布了新的文献求助10
22秒前
蘑菇蘑菇发布了新的文献求助10
22秒前
22秒前
大模型应助aidiresi采纳,获得10
23秒前
高分求助中
(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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Netter collection Volume 9 Part I upper digestive tract及Part III Liver Biliary Pancreas 3rd 2024 的超高清PDF,大小约几百兆,不是几十兆版本的 1050
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
Research Handbook on the Law of the Sea 1000
Contemporary Debates in Epistemology (3rd Edition) 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6169752
求助须知:如何正确求助?哪些是违规求助? 7997204
关于积分的说明 16633917
捐赠科研通 5274585
什么是DOI,文献DOI怎么找? 2813783
邀请新用户注册赠送积分活动 1793538
关于科研通互助平台的介绍 1659372