Extracellular Vesicle Analysis by Paper Spray Ionization Mass Spectrometry.
Extracellular Vesicle Analysis by Paper Spray Ionization Mass Spectrometry.
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DOI:
10.3390/metabo11050308
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发表时间:
2021-05-11
期刊:
影响因子:
4.1
通讯作者:
Garrett TJ
中科院分区:
文献类型:
--
作者:
Chamberlain CA;Hatch M;Garrett TJ
Paper spray ionization mass spectrometry (PSI-MS) is a direct MS analysis technique with several reported bacterial metabolomics applications. As with most MS-based bacterial studies, all currently reported PSI-MS bacterial analyses have focused on the chemical signatures of the cellular unit. One dimension of the bacterial metabolome that is often lost in such analyses is the exometabolome (extracellular metabolome), including secreted metabolites, lipids, and peptides. A key component of the bacterial exometabolome that is gaining increased attention in the microbiology and biomedical communities is extracellular vesicles (EVs). These excreted structures, produced by cells in all domains of life, contain a variety of biomolecules responsible for a wide array of cellular functions, thus representing a core component of the bacterial secreted metabolome. Although previously examined using other MS approaches, no reports currently exist for a PSI-MS analysis of bacterial EVs, nor EVs from any other organism (exosomes, ectosomes, etc.). PSI-MS holds unique analytical strengths over other commonly used MS platforms and could thus provide an advantageous approach to EV metabolomics. To address this, we report a novel application representing, to our knowledge, the first PSI-MS analysis of EVs from any organism (using the human gut resident Oxalobacter formigenes as the experimental model, a bacterium whose EVs were never previously investigated). In this report, we show how we isolated and purified EVs from bacterial culture supernatant by EV-specific affinity chromatography, confirmed and characterized these vesicles by nanoparticle tracking analysis, analyzed the EV isolate by PSI-MS, and identified a panel of EV-derived metabolites, lipids, and peptides. This work serves as a pioneering study in the field of MS-based EV analysis and provides a new, rapid, sensitive, and economical approach to EV metabolomics.
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影响因子:
4.3
作者:
Chamberlain, Casey A.;Hatch, Marguerite;Garrett, Timothy J.
通讯作者:
Garrett, Timothy J.
DOI:
10.1038/nrmicro3480
发表时间:
2015-10
期刊:
Nature reviews. Microbiology
影响因子:
--
作者:
Brown L;Wolf JM;Prados-Rosales R;Casadevall A
通讯作者:
Casadevall A
影响因子:
16
作者:
Bachurski, Daniel;Schuldner, Maximiliane;von Strandmann, Elke Pogge
通讯作者:
von Strandmann, Elke Pogge
影响因子:
3.7
作者:
Chamberlain, Casey A.;Hatch, Marguerite;Garrett, Timothy J.
通讯作者:
Garrett, Timothy J.
影响因子:
13.6
作者:
Aronov, Pavel A.;Luo, Frank J. -G.;Meyer, Timothy W.
通讯作者:
Meyer, Timothy W.