Proteome characterization of extracellular vesicles from human milk: Uncovering the surfaceome by a lipid-based protein immobilization technology

Emelie Ahlberg, Maria C. Jenmalm, Anders Karlsson, Roger Karlsson, Lina Tingö
{"title":"Proteome characterization of extracellular vesicles from human milk: Uncovering the surfaceome by a lipid-based protein immobilization technology","authors":"Emelie Ahlberg,&nbsp;Maria C. Jenmalm,&nbsp;Anders Karlsson,&nbsp;Roger Karlsson,&nbsp;Lina Tingö","doi":"10.1002/jex2.70020","DOIUrl":null,"url":null,"abstract":"<p>Breast milk is an essential source of nutrition and hydration for the infant. In addition, this highly complex fluid is rich in extracellular vesicles (EVs). Here, we have applied a microfluidic technology, lipid-based protein immobilization (LPI) and liquid chromatography with tandem mass spectrometry (LC-MS/MS) to characterize the proteome of human milk EVs. Mature milk from six mothers was subjected to EV isolation by ultracentrifugation followed by size exclusion chromatography. Three of the samples were carefully characterized; suggesting a subset enriched by small EVs. The EVs were digested by trypsin in an LPI flow cell and in-solution digestion, giving rise to two fractions of peptides originating from the surface proteome (LPI fraction) or the complete proteome (in-solution digestion). LC-MS/MS recovered peptides corresponding to 582 proteins in the LPI fraction and 938 proteins in the in-solution digested samples; 400 of these proteins were uniquely found in the in-solution digested samples and were hence denoted “cargo proteome”. GeneOntology overrepresentation analysis gave rise to distinctly different functional predictions of the EV surfaceome and the cargo proteome. The surfaceome tends to be overrepresented in functions and components of relevance for the immune system, while the cargo proteome primarily seems to be associated with EV biogenesis.</p>","PeriodicalId":73747,"journal":{"name":"Journal of extracellular biology","volume":"3 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11541861/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of extracellular biology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jex2.70020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Breast milk is an essential source of nutrition and hydration for the infant. In addition, this highly complex fluid is rich in extracellular vesicles (EVs). Here, we have applied a microfluidic technology, lipid-based protein immobilization (LPI) and liquid chromatography with tandem mass spectrometry (LC-MS/MS) to characterize the proteome of human milk EVs. Mature milk from six mothers was subjected to EV isolation by ultracentrifugation followed by size exclusion chromatography. Three of the samples were carefully characterized; suggesting a subset enriched by small EVs. The EVs were digested by trypsin in an LPI flow cell and in-solution digestion, giving rise to two fractions of peptides originating from the surface proteome (LPI fraction) or the complete proteome (in-solution digestion). LC-MS/MS recovered peptides corresponding to 582 proteins in the LPI fraction and 938 proteins in the in-solution digested samples; 400 of these proteins were uniquely found in the in-solution digested samples and were hence denoted “cargo proteome”. GeneOntology overrepresentation analysis gave rise to distinctly different functional predictions of the EV surfaceome and the cargo proteome. The surfaceome tends to be overrepresented in functions and components of relevance for the immune system, while the cargo proteome primarily seems to be associated with EV biogenesis.

Abstract Image

人乳细胞外囊泡的蛋白质组特征:利用基于脂质的蛋白质固定技术揭示表面组。
母乳是婴儿不可或缺的营养和水分来源。此外,这种高度复杂的液体还含有丰富的细胞外囊泡 (EV)。在此,我们应用微流控技术、脂基蛋白固定化(LPI)和液相色谱-串联质谱(LC-MS/MS)分析了母乳EVs的蛋白质组。通过超速离心法分离六位母亲的成熟乳汁中的 EV,然后进行尺寸排阻色谱分析。对其中三个样本进行了仔细的特征描述,结果表明其中有一个富含小EVs的子集。在 LPI 流动池中用胰蛋白酶消化 EVs,并进行溶液内消化,产生了两个肽段,分别来自表面蛋白质组(LPI 部分)或完整蛋白质组(溶液内消化)。LC-MS/MS 在 LPI 部分回收了与 582 个蛋白质相对应的肽段,在溶液内消化样本中回收了与 938 个蛋白质相对应的肽段,其中 400 个蛋白质在溶液内消化样本中被唯一发现,因此被称为 "货物蛋白质组"。基因本体(GeneOntology)的过度代表性分析得出了对电动汽车表面组和货物蛋白质组截然不同的功能预测。表面组往往在与免疫系统相关的功能和成分中代表性过高,而货物蛋白质组似乎主要与 EV 的生物生成有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信