已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Stabilization of Exosome-targeting Peptides via Engineered Glycosylation

糖基化 外体 化学 生物化学 细胞生物学 微泡 计算生物学 生物 基因 小RNA
作者
Michelle Hung,Joshua N. Leonard
出处
期刊:Journal of Biological Chemistry [Elsevier]
卷期号:290 (13): 8166-8172 被引量:315
标识
DOI:10.1074/jbc.m114.621383
摘要

Exosomes are secreted extracellular vesicles that mediate intercellular transfer of cellular contents and are attractive vehicles for therapeutic delivery of bimolecular cargo such as nucleic acids, proteins, and even drugs. Efficient exosome-mediated delivery in vivo requires targeting vesicles for uptake by specific recipient cells. Although exosomes have been successfully targeted to several cellular receptors by displaying peptides on the surface of the exosomes, identifying effective exosome-targeting peptides for other receptors has proven challenging. Furthermore, the biophysical rules governing targeting peptide success remain poorly understood. To evaluate one factor potentially limiting exosome delivery, we investigated whether peptides displayed on the exosome surface are degraded during exosome biogenesis, for example by endosomal proteases. Indeed, peptides fused to the N terminus of exosome-associated transmembrane protein Lamp2b were cleaved in samples derived from both cells and exosomes. To suppress peptide loss, we engineered targeting peptide-Lamp2b fusion proteins to include a glycosylation motif at various positions. Introduction of this glycosylation motif both protected the peptide from degradation and led to an increase in overall Lamp2b fusion protein expression in both cells and exosomes. Moreover, glycosylation-stabilized peptides enhanced targeted delivery of exosomes to neuroblastoma cells, demonstrating that such glycosylation does not ablate peptide-target interactions. Thus, we have identified a strategy for achieving robust display of targeting peptides on the surface of exosomes, which should facilitate the evaluation and development of new exosome-based 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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
4秒前
月下独酌42完成签到,获得积分10
4秒前
完美的沉鱼完成签到 ,获得积分10
4秒前
Zhao_Ruilin完成签到,获得积分10
7秒前
7秒前
Gfi发布了新的文献求助10
9秒前
9秒前
10秒前
小东发布了新的文献求助10
11秒前
12秒前
monair完成签到 ,获得积分10
14秒前
无题完成签到,获得积分10
19秒前
拼搏冬瓜发布了新的文献求助10
19秒前
细心雨安完成签到,获得积分10
20秒前
敏感的博超完成签到 ,获得积分10
20秒前
刻苦的小土豆完成签到 ,获得积分10
21秒前
阿乐完成签到 ,获得积分10
22秒前
胡佳文发布了新的文献求助10
25秒前
orixero应助冰雪痕采纳,获得10
25秒前
鱼鱼和石头完成签到 ,获得积分10
25秒前
27秒前
27秒前
心随以动完成签到 ,获得积分10
28秒前
搞怪的白云完成签到 ,获得积分10
31秒前
Arisujunai完成签到 ,获得积分10
31秒前
冷HorToo完成签到 ,获得积分10
32秒前
华仔应助jing采纳,获得10
33秒前
obsession完成签到 ,获得积分10
35秒前
37秒前
38秒前
39秒前
wanci应助pililili采纳,获得10
40秒前
Cosmosurfer完成签到,获得积分10
40秒前
化雪彼岸发布了新的文献求助10
42秒前
修辛完成签到 ,获得积分10
42秒前
热心易绿完成签到 ,获得积分10
43秒前
浮游应助hepotosis采纳,获得10
43秒前
冰雪痕发布了新的文献求助10
44秒前
到底发不发大概完成签到,获得积分10
44秒前
胡佳文完成签到,获得积分20
46秒前
高分求助中
Learning and Memory: A Comprehensive Reference 2000
Predation in the Hymenoptera: An Evolutionary Perspective 1800
List of 1,091 Public Pension Profiles by Region 1541
The Jasper Project 800
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
Binary Alloy Phase Diagrams, 2nd Edition 600
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5502531
求助须知:如何正确求助?哪些是违规求助? 4598345
关于积分的说明 14463856
捐赠科研通 4531936
什么是DOI,文献DOI怎么找? 2483722
邀请新用户注册赠送积分活动 1466943
关于科研通互助平台的介绍 1439576