Exploring peptide mimics for the production of antibodies against discontinuous protein epitopes

表位 分子模拟 线性表位 抗体 抗原 生物 肽序列 化学 生物化学 免疫学 基因
作者
Melita Irving,Lisa Craig,Alfredo Menéndez,Beechanahalli P. Gangadhar,Marinieve Montero,Nienke E. van Houten,Jamie K. Scott
出处
期刊:Molecular Immunology [Elsevier]
卷期号:47 (5): 1137-1148 被引量:28
标识
DOI:10.1016/j.molimm.2009.10.015
摘要

Peptide "mimics" (mimotopes) of linear protein epitopes and carbohydrate epitopes have been successfully used as immunogens to elicit cross-reactive antibodies against their cognate epitopes; however, immunogenic mimicry has been difficult to achieve for discontinuous protein epitopes. To explore this, we developed from phage-displayed peptide libraries optimized peptide mimics for three well-characterized discontinuous epitopes on hen egg lysozyme and horse cytochrome c. The peptides competed with their cognate antigens for antibody binding, displayed affinities in the nM range, and shared critical binding residues with their native epitopes. Yet, while immunogenic, none of the peptides elicited antibodies that cross-reacted with their cognate antigens. We analyzed the 3-D structure of the site within each discontinuous epitope that shared critical binding residues with its peptide mimic, and observed that in each case it formed a ridge-like patch on the epitope; in no case did it cover most or all of the epitope. Thus, the peptides' lack of immunogenic mimicry could be attributed to their inability to recapitulate the topological features of their cognate epitopes. Our results suggest that direct peptide immunizations are not a practical strategy for generating targeted antibody responses against discontinuous epitopes.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
2秒前
Solomon完成签到 ,获得积分0
2秒前
3秒前
CLK发布了新的文献求助10
3秒前
开心语蝶应助连安阳采纳,获得10
4秒前
5秒前
5秒前
毕葛发布了新的文献求助10
6秒前
ardejiang发布了新的文献求助10
9秒前
尾生即是尾声完成签到,获得积分10
9秒前
10秒前
10秒前
foreverer发布了新的文献求助10
10秒前
12秒前
chunyan_sysu发布了新的文献求助10
13秒前
王伟发布了新的文献求助10
16秒前
16秒前
承宇发布了新的文献求助10
17秒前
18秒前
spring完成签到 ,获得积分10
18秒前
19秒前
angelsknight完成签到,获得积分10
20秒前
22秒前
23秒前
柠檬发布了新的文献求助10
23秒前
23秒前
彭于晏应助怕孤独的访梦采纳,获得10
23秒前
CipherSage应助平常竹采纳,获得10
23秒前
由由发布了新的文献求助10
24秒前
Anonymous发布了新的文献求助10
24秒前
bibi发布了新的文献求助30
26秒前
酷酷紫夏发布了新的文献求助20
27秒前
施含莲发布了新的文献求助10
28秒前
心灵美的寄柔完成签到,获得积分10
29秒前
VDC应助故意的傲玉采纳,获得30
29秒前
将将发布了新的文献求助10
29秒前
30秒前
30秒前
无花果应助眼睛大鹤采纳,获得10
31秒前
HEIKU应助tsttst采纳,获得10
32秒前
高分求助中
歯科矯正学 第7版(或第5版) 1004
Semiconductor Process Reliability in Practice 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 600
GROUP-THEORY AND POLARIZATION ALGEBRA 500
Mesopotamian divination texts : conversing with the gods : sources from the first millennium BCE 500
Days of Transition. The Parsi Death Rituals(2011) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3234215
求助须知:如何正确求助?哪些是违规求助? 2880628
关于积分的说明 8216267
捐赠科研通 2548212
什么是DOI,文献DOI怎么找? 1377613
科研通“疑难数据库(出版商)”最低求助积分说明 647925
邀请新用户注册赠送积分活动 623302