Delineating Bovine Milk Derived Microvesicles from Exosomes Using Proteomics

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2024-05-28 DOI:10.1021/acs.jproteome.4c00352
Andrew D. Couse, Sarah J. Cox-Vazquez*, Subhadip Ghatak, Jonathan C. Trinidad and David E. Clemmer*, 
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Abstract

In the work presented herein, a simple serial-pelleting purification strategy combined with a mass spectrometry-based proteomics analysis was developed as a means of discerning differences in extracellular vesicle (EV) populations found in bovine milk samples. A sequence of ultracentrifugation speeds was used to generate changes in the abundances of EV populations, allowing for the identification of associated proteins. A metric was developed to determine the relative abundances of proteins in large EVs (>200 nm) and small EVs (<200 nm). Of the 476 proteins consistently found in this study, 340 are associated with vesicular components. Of these, 156 were heavily enriched in large EVs, 155 shared between large and small EVs, and 29 heavily enriched in small EVs. Additionally, out of 68 proteins annotated as exosome proteins, 32 were enriched in large EVs, 27 shared between large and small EVs, 5 enriched in small EVs, and 7 were found to be nonvesicular contaminant proteins. The top correlated proteins in the small EV group were predominantly membrane-bound proteins, whereas the top correlated proteins in the large EV group were mostly cytosolic enzymes for molecular processing. This method provides a means of assessing the origins of vesicle components and provides new potential marker proteins within discrete vesicle populations.

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利用蛋白质组学从外泌体中提取牛乳微囊泡
在本文介绍的工作中,我们开发了一种简单的串联造粒纯化策略,并结合基于质谱的蛋白质组学分析,以此来分辨牛乳样本中细胞外囊泡 (EV) 群体的差异。利用超速离心的速度序列来产生 EV 群体丰度的变化,从而鉴定相关的蛋白质。我们开发了一种指标来确定大EV(>200 nm)和小EV(>100 nm)中蛋白质的相对丰度。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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