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 细胞生物学 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:607
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.
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
刚刚
1秒前
聪明的冰真完成签到 ,获得积分10
1秒前
2秒前
恶恶么v发布了新的文献求助10
3秒前
4秒前
5秒前
5秒前
停停走走发布了新的文献求助10
6秒前
Chb完成签到,获得积分10
6秒前
无花果应助乔乔采纳,获得10
6秒前
简单的丑发布了新的文献求助10
7秒前
8秒前
秋刀鱼的滋味完成签到,获得积分10
8秒前
9秒前
诡诈之裤发布了新的文献求助10
9秒前
11秒前
catalyst发布了新的文献求助10
11秒前
半程繁华关注了科研通微信公众号
11秒前
xuxiaoyan完成签到 ,获得积分10
12秒前
尤问筠发布了新的文献求助10
13秒前
酷波er应助LLLL采纳,获得10
13秒前
悲痛宇宙完成签到,获得积分10
13秒前
caisy发布了新的文献求助10
14秒前
狗十七发布了新的文献求助10
15秒前
15秒前
15秒前
15秒前
诡诈之裤完成签到,获得积分10
15秒前
淡定山柏完成签到,获得积分10
15秒前
16秒前
catalyst完成签到,获得积分20
17秒前
逸龙完成签到,获得积分10
18秒前
Zpeao完成签到,获得积分10
20秒前
trocars发布了新的文献求助10
21秒前
21秒前
wzz完成签到,获得积分10
21秒前
21秒前
妮妮发布了新的文献求助30
21秒前
花店没开关注了科研通微信公众号
21秒前
高分求助中
Sustainability in Tides Chemistry 2800
Shape Determination of Large Sedimental Rock Fragments 2000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
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 3132622
求助须知:如何正确求助?哪些是违规求助? 2783860
关于积分的说明 7763809
捐赠科研通 2439019
什么是DOI,文献DOI怎么找? 1296554
科研通“疑难数据库(出版商)”最低求助积分说明 624640
版权声明 600751