蛋白质组学
蛋白质组
微泡
计算生物学
细胞外小泡
生物
人口
定量蛋白质组学
胞外囊泡
化学
生物信息学
细胞生物学
生物化学
医学
环境卫生
基因
小RNA
作者
Brett Vahkal,Jamie Kraft,Emanuela Ferretti,Min Chung,Jean‐François Beaulieu,Illimar Altosaar
出处
期刊:Biomolecules
[Multidisciplinary Digital Publishing Institute]
日期:2021-06-03
卷期号:11 (6): 833-833
被引量:8
摘要
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.
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