亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Progress, opportunity, and perspective on exosome isolation - efforts for efficient exosome-based theranostics

外体 微泡 小RNA 细胞外小泡 微泡 计算生物学 胞外囊泡 生物 分离(微生物学) 细胞生物学 生物信息学 基因 遗传学
作者
Dongbin Yang,Weihong Zhang,Huanyun Zhang,Fengqiu Zhang,Lanmei Chen,Lixia Ma,Leon M. Larcher,Suxiang Chen,Nan Liu,Qingxia Zhao,Phuong H.L. Tran,Changying Chen,Rakesh N. Veedu,Tao Wang
出处
期刊:Theranostics [Ivyspring International Publisher]
卷期号:10 (8): 3684-3707 被引量:1010
标识
DOI:10.7150/thno.41580
摘要

Exosomes are small extracellular vesicles with diameters of 30-150 nm. In both physiological and pathological conditions, nearly all types of cells can release exosomes, which play important roles in cell communication and epigenetic regulation by transporting crucial protein and genetic materials such as miRNA, mRNA, and DNA. Consequently, exosome-based disease diagnosis and therapeutic methods have been intensively investigated. However, as in any natural science field, the in-depth investigation of exosomes relies heavily on technological advances. Historically, the two main technical hindrances that have restricted the basic and applied researches of exosomes include, first, how to simplify the extraction and improve the yield of exosomes and, second, how to effectively distinguish exosomes from other extracellular vesicles, especially functional microvesicles. Over the past few decades, although a standardized exosome isolation method has still not become available, a number of techniques have been established through exploration of the biochemical and physicochemical features of exosomes. In this work, by comprehensively analyzing the progresses in exosome separation strategies, we provide a panoramic view of current exosome isolation techniques, providing perspectives toward the development of novel approaches for high-efficient exosome isolation from various types of biological matrices. In addition, from the perspective of exosome-based diagnosis and therapeutics, we emphasize the issue of quantitative exosome and microvesicle separation.

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
12秒前
30秒前
Criminology34举报草木生求助涉嫌违规
35秒前
41秒前
42秒前
47秒前
48秒前
54秒前
Sparrow0011发布了新的文献求助10
54秒前
hawz发布了新的文献求助10
59秒前
Kao应助hawz采纳,获得10
1分钟前
今后应助hawz采纳,获得10
1分钟前
Jasper应助jiang采纳,获得10
1分钟前
SciGPT应助Sparrow0011采纳,获得10
1分钟前
思源应助科研通管家采纳,获得30
1分钟前
Copyright应助ASRI12349采纳,获得10
1分钟前
科研通AI6.4应助酥酥采纳,获得10
1分钟前
1分钟前
AliEmbark完成签到,获得积分10
1分钟前
君莫笑发布了新的文献求助10
1分钟前
1分钟前
1分钟前
2分钟前
Criminology34应助Sundstein采纳,获得30
2分钟前
2分钟前
2分钟前
2分钟前
充电宝应助Jodie采纳,获得10
2分钟前
轮子完成签到,获得积分10
3分钟前
3分钟前
3分钟前
星辰大海应助科研通管家采纳,获得10
3分钟前
jiang发布了新的文献求助10
3分钟前
3分钟前
Jodie发布了新的文献求助10
3分钟前
Orange应助jiang采纳,获得10
3分钟前
3分钟前
Sparrow0011发布了新的文献求助10
4分钟前
GingerF应助君莫笑采纳,获得50
4分钟前
科研通AI6.3应助简啦啦采纳,获得10
4分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
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 7247708
求助须知:如何正确求助?哪些是违规求助? 8870700
关于积分的说明 18712127
捐赠科研通 6925956
什么是DOI,文献DOI怎么找? 3197998
关于科研通互助平台的介绍 2373767
邀请新用户注册赠送积分活动 2172879