Variability in protein cargo detection in technical and biological replicates of exosome-enriched extracellular vesicles

微泡 复制 外体 生物 蛋白质组学 胞外囊泡 计算生物学 生物分子 生物化学 小RNA 基因 数学 统计
作者
Suma Tiruvayipati,Donald J. Wolfgeher,Yue Ming,Fangfang Duan,Jorge Andrade,Hui Jiang,Lucia Schuger
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:15 (3): e0228871-e0228871 被引量:14
标识
DOI:10.1371/journal.pone.0228871
摘要

Exosomes are extracellular vesicles (EVs) of ~20–200 nm diameter that shuttle DNAs, RNAs, proteins and other biomolecules between cells. The large number of biomolecules present in exosomes demands the frequent use of high-throughput analysis. This, in turn, requires technical replicates (TRs), and biological replicates (BRs) to produce accurate results. As the number and abundance of identified biomolecules varies between replicates (Rs), establishing the replicate variability predicted for the event under study is essential in determining the number of Rs required. Although there have been few reports of replicate variability in high throughput biological data, none of them focused on exosomes. Herein, we determined the replicate variability in protein profiles found in exosomes released from 3 lung adenocarcinoma cell lines, H1993, A549 and H1975. Since exosome isolates are invariably contaminated by a small percentage of ~200–300 nm microvesicles, we refer to our samples as exosome-enriched EVs (EE-EVs). We generated BRs of EE-EVs from each cell line, and divided each group into 3 TRs. All Rs were analyzed by liquid chromatography/mass spectrometry (LC/MS/MS) and customized bioinformatics and biostatistical workflows (raw data available via ProteomeXchange: PXD012798). We found that the variability among TRs as well as BRs, was largely qualitative (protein present or absent) and higher among BRs. By contrast, the quantitative (protein abundance) variability was low, save for the H1975 cell line where the quantitative variability was significant. Importantly, our replicate strategy identified 90% of the most abundant proteins, thereby establishing the utility of our approach.

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
hrt完成签到,获得积分10
刚刚
学术菜鸡123完成签到,获得积分10
刚刚
XY发布了新的文献求助10
刚刚
花照林完成签到,获得积分10
刚刚
1秒前
zy95282发布了新的文献求助30
2秒前
llllllb完成签到,获得积分10
2秒前
2秒前
丁丁发布了新的文献求助30
2秒前
失眠刺猬完成签到 ,获得积分10
4秒前
Jasper应助干净的琦采纳,获得10
5秒前
Luo发布了新的文献求助10
6秒前
6秒前
wch666发布了新的文献求助10
7秒前
9秒前
11秒前
聪明的晓蓝完成签到 ,获得积分10
11秒前
12秒前
bkagyin应助jiumi采纳,获得10
13秒前
ProfWang完成签到,获得积分10
13秒前
13秒前
14秒前
充电宝应助TTT采纳,获得10
14秒前
大个应助suzhenyue采纳,获得10
14秒前
在水一方应助HarrisonChan采纳,获得30
15秒前
happy发布了新的文献求助10
16秒前
nuture发布了新的文献求助10
16秒前
wlq发布了新的文献求助10
16秒前
邱邱发布了新的文献求助10
17秒前
藕丁完成签到 ,获得积分10
17秒前
18秒前
余伟豪发布了新的文献求助10
18秒前
CipherSage应助cc321采纳,获得10
19秒前
19秒前
19秒前
三点一共发布了新的文献求助10
20秒前
20秒前
20秒前
Contrail应助科研牛马采纳,获得10
21秒前
干净的琦发布了新的文献求助10
21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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 7753715
求助须知:如何正确求助?哪些是违规求助? 9300373
关于积分的说明 20257599
捐赠科研通 7336170
什么是DOI,文献DOI怎么找? 3310567
关于科研通互助平台的介绍 2461815
邀请新用户注册赠送积分活动 2323629