Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON K1H 8L1, Canada.
Department of Molecular and Clinical Medicine, University of Gothenburg, SU Sahlgrenska, 41345 Gothenburg, Sweden.
Biomolecules. 2021 Jun 3;11(6):833. doi: 10.3390/biom11060833.
Proteomics can map extracellular vesicles (EVs), including exosomes, across disease states between organisms and cell types. Due to the diverse origin and cargo of EVs, tailoring methodological and analytical techniques can support the reproducibility of results. Proteomics scans are sensitive to in-sample contaminants, which can be retained during EV isolation procedures. Contaminants can also arise from the biological origin of exosomes, such as the lipid-rich environment in human milk. Human milk (HM) EVs and exosomes are emerging as a research interest in health and disease, though the experimental characterization and functional assays remain varied. Past studies of HM EV proteomes have used data-dependent acquisition methods for protein detection, however, improvements in data independent acquisition could allow for previously undetected EV proteins to be identified by mass spectrometry. Depending on the research question, only a specific population of proteins can be compared and measured using isotope and other labelling techniques. In this review, we summarize published HM EV proteomics protocols and suggest a methodological workflow with the end-goal of effective and reproducible analysis of human milk EV proteomes.
蛋白质组学可以在生物体和细胞类型之间的疾病状态下绘制细胞外囊泡 (EVs),包括外泌体。由于 EV 的起源和货物多样化,定制方法学和分析技术可以支持结果的重现性。蛋白质组学扫描对样品内的污染物很敏感,这些污染物可能在 EV 分离过程中被保留下来。污染物也可能来自外泌体的生物学起源,例如人乳中的富含脂质的环境。人乳 (HM) EV 和外泌体作为健康和疾病研究的一个新领域正在兴起,尽管其实验特征和功能分析仍然存在差异。过去对 HM EV 蛋白质组的研究使用了数据依赖的蛋白质检测方法,然而,数据独立采集的改进可以允许通过质谱鉴定以前未检测到的 EV 蛋白。根据研究问题的不同,只有使用同位素和其他标记技术才能比较和测量特定的蛋白质群体。在这篇综述中,我们总结了已发表的 HM EV 蛋白质组学方案,并提出了一种方法学工作流程,最终目标是有效地分析人乳 EV 蛋白质组并实现结果的重现性。