4.6 Article

Specimen-specific drift of densities defines distinct subclasses of extracellular vesicles from human whole saliva

期刊

PLOS ONE
卷 16, 期 4, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0249526

关键词

-

资金

  1. JSPS KAKENHI [17H06255]
  2. Grants-in-Aid for Scientific Research [17H06255] Funding Source: KAKEN

向作者/读者索取更多资源

By prolonging ultracentrifugation time and fractionating EVs in different directions, the study demonstrated specimen-specific drifts in buoyant densities of EV marker proteins from saliva, leading to at least two subclasses of EVs with distinct patterns of density drift that may reflect differences in generation pathways.
Extracellular vesicles (EVs) in body fluids constitute heterogenous populations, which mirror their diverse parental cells as well as distinct EV-generation pathways. Various methodologies have been proposed to differentiate EVs in order to deepen the current understanding of EV biology. Equilibrium density-gradient centrifugation has often been used to separate EVs based on their buoyant densities; however, the standard conditions used for the method do not necessarily allow all EVs to move to their equilibrium density positions, which complicates the categorization of EVs. Here, by prolonging ultracentrifugation time to 96 h and fractionating EVs both by floating up or spinning down directions, we allowed 111 EV-associated protein markers from the whole saliva of three healthy volunteers to attain equilibrium. Interestingly, the determined buoyant densities of the markers drifted in a specimen-specific manner, and drift patterns differentiated EVs into at least two subclasses. One class carried classical exosomal markers, such as CD63 and CD81, and the other was characterized by the molecules involved in membrane remodeling or vesicle trafficking. Distinct patterns of density drift may represent the differences in generation pathways of EVs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据