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
qiuxu完成签到,获得积分10
1秒前
潇湘学术完成签到,获得积分10
1秒前
沈客卿完成签到,获得积分10
1秒前
2秒前
诸糜完成签到,获得积分10
2秒前
丘比特应助adeno采纳,获得10
3秒前
可爱紫文完成签到 ,获得积分10
3秒前
风趣如松完成签到,获得积分10
4秒前
wy2完成签到,获得积分10
4秒前
5秒前
迷路的灵波应助流星采纳,获得10
5秒前
haihaiahai完成签到,获得积分10
5秒前
bysl完成签到,获得积分10
6秒前
majiayang完成签到,获得积分10
7秒前
Tardigrade完成签到,获得积分10
7秒前
矫健完成签到,获得积分10
7秒前
薄荷草莓糖完成签到,获得积分10
8秒前
8秒前
8秒前
10秒前
jj完成签到,获得积分10
10秒前
丘比特应助solidtimingg采纳,获得10
11秒前
十一的耳朵不是特别好完成签到,获得积分10
11秒前
殷勤的小鸽子完成签到,获得积分10
11秒前
11秒前
汉堡包应助甜甜的小伙采纳,获得10
11秒前
Able_SCIjun24完成签到,获得积分10
12秒前
Samuel应助woshiwuziq采纳,获得20
12秒前
wind完成签到 ,获得积分10
12秒前
李静完成签到,获得积分10
12秒前
刘天强完成签到,获得积分10
12秒前
忍冬完成签到,获得积分10
12秒前
有魅力的怜南完成签到,获得积分10
13秒前
辛勤的无敌完成签到,获得积分10
13秒前
Jeffrey发布了新的文献求助10
13秒前
13秒前
清脆诗兰完成签到 ,获得积分10
13秒前
huimin发布了新的文献求助10
13秒前
14秒前
喜喜完成签到,获得积分10
15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 7305524
求助须知:如何正确求助?哪些是违规求助? 8923534
关于积分的说明 18903492
捐赠科研通 6968434
什么是DOI,文献DOI怎么找? 3212208
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 2189590