Characterization of single microvesicles in plasma from glioblastoma patients

作者
Kyle Fraser,Ala Jo,Jimmy Giedt,Claudio Vinegoni,Katherine S. Yang,Pierepaolo Peruzzi,E. Antonio Chiocca,Xandra O. Breakefield,Hakho Lee,Ralph Weissleder
出处
期刊:Neuro-oncology [Oxford University Press]
卷期号:21 (5): 606-615 被引量:91
标识
DOI:10.1093/neuonc/noy187
摘要

BACKGROUND: Extracellular vesicles (EV) are shed by tumor cells but little is known about their individual molecular phenotypes and heterogeneity. While exosomes have received considerable attention, much less is known about larger microvesicles. Here we profile single microvesicles (MV) and exosomes from glioblastoma (GB) cells and MV from the plasma of patients. METHODS: EV secreted from mouse glioma GL261 and human primary GBM8 cell lines as well as from the plasma of 8 patients with diagnoses of GB and 2 healthy controls were isolated and processed for single vesicle analysis. EV were immobilized on glass slides and the heterogeneity of vesicle and tumor markers were analyzed at the single vesicle level. RESULTS: We show that (i) MV are abundant, (ii) only a minority of MV expresses putative MV markers, and (iii) MV share tetraspanin biomarkers previously thought to be diagnostic of exosomes. Using MV capture and staining techniques that allow differentiation of host cell and GB-derived MV we further demonstrate that (i) tumoral MV often present as <10% of all MV in GB patient plasma, and (ii) there is extensive heterogeneity in tumor marker expression in these tumor-derived MV. CONCLUSION: These results indicate that single MV analysis is likely necessary to identify rare tumoral MV populations and the single vesicle analytical technique used here can be applied to both MV and exosome fractions without the need for their separation from each other. These studies form the basis for using single EV analyses for cancer diagnostics.

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
刚刚
开朗姝完成签到,获得积分10
2秒前
ccx完成签到,获得积分10
7秒前
芒果哥完成签到,获得积分10
8秒前
sai完成签到,获得积分10
8秒前
高高盼海完成签到,获得积分10
9秒前
啦你完成签到 ,获得积分10
11秒前
晨雾锁阳完成签到 ,获得积分10
12秒前
大模型应助wenwei采纳,获得10
12秒前
jasmine完成签到 ,获得积分10
13秒前
laa完成签到,获得积分10
13秒前
我本人lrx完成签到 ,获得积分10
13秒前
lzl007完成签到 ,获得积分10
14秒前
今天放假了吗完成签到,获得积分10
14秒前
雪山飞龙发布了新的文献求助10
14秒前
无情的聪健完成签到,获得积分10
16秒前
励志发SCI完成签到 ,获得积分10
16秒前
标致的泥猴桃完成签到,获得积分10
16秒前
小马应助李老师采纳,获得10
16秒前
niu完成签到,获得积分10
17秒前
yl6649084完成签到,获得积分10
17秒前
飞快的迎南完成签到,获得积分10
18秒前
西溪浅浅完成签到 ,获得积分10
18秒前
wangh完成签到 ,获得积分10
19秒前
香蕉秋蝶完成签到 ,获得积分10
19秒前
Cx330完成签到,获得积分10
19秒前
狂野小兔子完成签到 ,获得积分20
21秒前
stepwise完成签到,获得积分10
22秒前
慕夏晚吹风完成签到 ,获得积分10
22秒前
23秒前
bssdwd发布了新的文献求助10
25秒前
萝卜完成签到,获得积分10
26秒前
wenwei完成签到,获得积分10
26秒前
科研dog完成签到,获得积分10
26秒前
111完成签到 ,获得积分10
27秒前
飞飞style完成签到,获得积分10
27秒前
欢hi丢厚完成签到,获得积分10
27秒前
雪山飞龙发布了新的文献求助10
27秒前
Kao应助科研通管家采纳,获得10
28秒前
28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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
Rocket Propulsion Elements, 10th Edition 400
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 7305368
求助须知:如何正确求助?哪些是违规求助? 8923372
关于积分的说明 18902327
捐赠科研通 6968094
什么是DOI,文献DOI怎么找? 3212191
关于科研通互助平台的介绍 2381011
邀请新用户注册赠送积分活动 2189552