Feasibility of phosphoproteomics to uncover oncogenic signalling in secreted extracellular vesicles using glioblastoma-EGFRVIII cells as a model

磷酸蛋白质组学 微泡 激酶 细胞生物学 PI3K/AKT/mTOR通路 磷酸化 癌细胞 生物 蛋白激酶B MAPK/ERK通路 癌症研究 癌症 信号转导 化学 小RNA 蛋白激酶A 蛋白质磷酸化 生物化学 基因 遗传学
作者
Irene V. Bijnsdorp,Tim Schelfhorst,Mark J. Luinenburg,Frank Rolfs,Sander R. Piersma,Richard R. de Haas,Thang V. Pham,Connie R. Jiménez
出处
期刊:Journal of Proteomics [Elsevier BV]
卷期号:232: 104076-104076 被引量:9
标识
DOI:10.1016/j.jprot.2020.104076
摘要

Cancer cells secrete extracellular vesicles (EVs) that contain molecular information, including proteins and RNA. Oncogenic signalling can be transferred via the cargo of EVs to recipient cells and may influence the behaviour of neighbouring cells or cells at a distance. This cargo may contain cancer drivers, such as EGFR, and also phosphorylated (activated) components of oncogenic signalling cascades. Till date, the cancer EV phosphoproteome has not been studied in great detail. In the present study, we used U87 and U87EGFRvIII cells as a model to explore EV oncogenic signalling components in comparison to the cellular profile. EVs were isolated using the VN96 ME-kit and subjected to LC-MS/MS based phosphoproteomics and dedicated bioinformatics. Expression of (phosphorylated)-EGFR was highly increased in EGFRvIII overexpressing cells and their secreted EVs. The increased phosphorylated proteins in both cells and EVs were associated with activated components of the EGFR-signalling cascade and included EGFR, AKT2, MAPK8, SMG1, MAP3K7, DYRK1A, RPS6KA3 and PAK4 kinases. In conclusion, EVs harbour oncogenic signalling networks including multiple activated kinases including EGFR, AKT and mTOR. SIGNIFICANCE: Extracellular vesicles (EVs) are biomarker treasure troves and are widely studied for their biomarker content in cancer. However, little research has been done on the phosphorylated protein profile within cancer EVs. In the current study, we demonstrate that EVs that are secreted by U87-EGFRvIII mutant glioblastoma cells contain high levels of oncogenic signalling networks. These networks contain multiple activated (phosphorylated) kinases, including EGFR, MAPK, AKT and mTOR.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
花花应助唐慢慢采纳,获得10
1秒前
夏木夏完成签到,获得积分20
1秒前
1秒前
Gates完成签到,获得积分20
2秒前
2秒前
2秒前
Sijie发布了新的文献求助10
3秒前
5秒前
6秒前
ghostpants完成签到,获得积分10
6秒前
无花果应助qyn1234566采纳,获得20
7秒前
chiweiyoung发布了新的文献求助10
7秒前
hysmoment完成签到,获得积分10
7秒前
球球发布了新的文献求助10
7秒前
Jasper应助猪猪hero采纳,获得10
9秒前
桐桐应助香蕉妙菱采纳,获得10
10秒前
相南相北完成签到 ,获得积分10
11秒前
11秒前
12秒前
球球完成签到,获得积分10
13秒前
15秒前
潇湘雪月发布了新的文献求助10
15秒前
17秒前
19秒前
大模型应助hello采纳,获得10
19秒前
我爱学习发布了新的文献求助10
19秒前
酷波er应助忐忑的阑香采纳,获得10
20秒前
21秒前
如意枫叶发布了新的文献求助10
22秒前
无花果应助猪猪hero采纳,获得10
27秒前
亮liang发布了新的文献求助10
27秒前
cach完成签到,获得积分10
27秒前
量子星尘发布了新的文献求助10
28秒前
棣棣完成签到,获得积分10
28秒前
Paris7k完成签到 ,获得积分10
28秒前
糊涂涂完成签到,获得积分20
29秒前
大个应助Yang采纳,获得10
30秒前
31秒前
王伟涛完成签到,获得积分10
31秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989242
求助须知:如何正确求助?哪些是违规求助? 3531393
关于积分的说明 11253753
捐赠科研通 3270010
什么是DOI,文献DOI怎么找? 1804868
邀请新用户注册赠送积分活动 882084
科研通“疑难数据库(出版商)”最低求助积分说明 809136