Proteomic and Post‐Translational Modification Profiling of Exosome‐Mimetic Nanovesicles Compared to Exosomes

微泡 外体 蛋白质组 蛋白质组学 内体 生物 细胞生物学 计算生物学 小RNA 基因 生物信息学 遗传学 细胞内
作者
Amirmohammad Nasiri Kenari,Kenneth Kastaniegaard,David W. Greening,Mitch Shambrook,Allan Stensballe,Lesley Cheng,Andrew F. Hill
出处
期刊:Proteomics [Wiley]
卷期号:19 (8) 被引量:77
标识
DOI:10.1002/pmic.201800161
摘要

Issues associated with upscaling exosome production for therapeutic use may be overcome through utilizing artificial exosomes. Cell-derived mimetic nanovesicles (M-NVs) are a potentially promising alternative to exosomes for clinical applicability, demonstrating higher yield without incumbent production and isolation issues. Although several studies have shown that M-NVs have similar morphology, size and therapeutic potential compared to exosomes, comprehensive characterization and to what extent M-NVs components mimic exosomes remain elusive. M-NVs were generated through the extrusion of cells and proteomic profiling demonstrated an enrichment of proteins associated with membrane and cytosolic components. The proteomic data herein reveal a subset of proteins that are highly abundant in M-NVs in comparison to exosomes. M-NVs contain proteins that largely represent the parental cell proteome, whereas the profile of exosomal proteins highlight their endosomally derived origin. This advantage of M-NVs alleviates the necessity of endosomal sorting of endogenous therapeutic proteins or RNA into exosomes. This study also highlights differences in protein post-translational modifications among M-NVs, as distinct from exosomes. Overall this study provides key insights into defining the proteome composition of M-NVs as a distinct from exosomes, and the potential advantage of M-NVs as an alternative nanocarrier when spontaneous endosomal sorting of therapeutics are limited.
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
情怀应助生动枫采纳,获得10
刚刚
summing发布了新的文献求助30
刚刚
xiajinjin发布了新的文献求助30
1秒前
abab完成签到 ,获得积分10
3秒前
爆米花应助纳纳椰采纳,获得10
3秒前
3秒前
上官若男应助dake采纳,获得10
3秒前
4秒前
ggggggZzyeah发布了新的文献求助10
4秒前
5秒前
DONNYTIO完成签到,获得积分10
7秒前
开心超人发布了新的文献求助10
7秒前
万能图书馆应助月白采纳,获得10
7秒前
8秒前
CodeCraft应助胖子一个采纳,获得10
8秒前
英俊的铭应助勤奋无敌采纳,获得10
8秒前
8秒前
123应助若非菜孰愿弟采纳,获得10
10秒前
10秒前
llly发布了新的文献求助10
11秒前
11秒前
blt完成签到,获得积分10
11秒前
生动枫发布了新的文献求助10
12秒前
桐桐应助团子采纳,获得10
12秒前
p1发布了新的文献求助10
13秒前
13秒前
14秒前
15秒前
16秒前
DONNYTIO发布了新的文献求助10
16秒前
16秒前
研友_VZG7GZ应助酷酷采纳,获得10
16秒前
活力涟妖发布了新的文献求助10
18秒前
月白发布了新的文献求助10
19秒前
星辰大海应助辛勤的平露采纳,获得10
19秒前
19秒前
19秒前
轻舟轻舟发布了新的文献求助20
20秒前
21秒前
zzbyxh发布了新的文献求助20
21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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Introducing the Learning Sciences 600
Resiliency Scale for Adolescents--Chinese Version 600
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 7322171
求助须知:如何正确求助?哪些是违规求助? 8937608
关于积分的说明 18948674
捐赠科研通 6979994
什么是DOI,文献DOI怎么找? 3214923
关于科研通互助平台的介绍 2382478
邀请新用户注册赠送积分活动 2194151