An improved 96 well plate format lipid quantification assay for standardisation of experiments with extracellular vesicles.
EV
apoptotic bodies
exosomes
large oncosomes
lipid assay
liposome standard
microvesicles
normalisation and quantification
standardisation
sulfo-phospho-vanillin (SPV) reaction
Journal
Journal of extracellular vesicles
ISSN: 2001-3078
Titre abrégé: J Extracell Vesicles
Pays: United States
ID NLM: 101610479
Informations de publication
Date de publication:
2019
2019
Historique:
received:
27
07
2018
revised:
10
12
2018
accepted:
02
01
2019
entrez:
8
2
2019
pubmed:
8
2
2019
medline:
8
2
2019
Statut:
epublish
Résumé
The field of extracellular vesicles (EVs) is an exponentially growing segment of biomedical sciences. However, the problems of normalisation and quantification of EV samples have not been completely solved. Currently, EV samples are standardised on the basis of their protein content sometimes combined with determination of the particle number. However, even this combined approach may result in inaccuracy and overestimation of the EV concentration. Lipid bilayers are indispensable components of EVs. Therefore, a lipid-based quantification, in combination with the determination of particle count and/or protein content, appears to be a straightforward and logical approach for the EV field. In this study, we set the goal to improve the previously reported sulfo-phospho-vanillin (SPV) lipid assay. We introduced an aqueous phase liposome standard (DOPC) to replace the purified lipid standards in organic solvents (used commonly in previous studies). Furthermore, we optimised the concentration of the vanillin reagent in the assay. We found that elimination of organic solvents from the reaction mixture could abolish the background colour that interfered with the assay. Comparison of the optimised assay with a commercial lipid kit (based on the original SPV lipid assay) showed an increase of sensitivity by approximately one order of magnitude. Thus, here we report a quick, reliable and sensitive test that may fill an existing gap in EV standardisation. When using the optimised lipid assay reported here, EV lipid measurements can be more reliable than protein-based measurements. Furthermore, this novel assay is almost as sensitive and as easy as measuring proteins with a simple BCA test.
Identifiants
pubmed: 30728922
doi: 10.1080/20013078.2019.1565263
pii: 1565263
pmc: PMC6352952
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1565263Références
J Biol Chem. 1999 Oct 8;274(41):29063-70
pubmed: 10506158
J Mol Cell Cardiol. 2005 Jul;39(1):133-47
pubmed: 15913645
Blood. 2011 Jan 27;117(4):e39-48
pubmed: 21041717
Lipids. 2011 Jan;46(1):95-103
pubmed: 21069472
Nanoscale Res Lett. 2013 Feb 22;8(1):102
pubmed: 23432972
Biochim Biophys Acta. 2013 Jul;1831(7):1302-9
pubmed: 24046871
J Extracell Vesicles. 2014 Jul 08;3:null
pubmed: 25018865
J Extracell Vesicles. 2014 Dec 22;3:26913
pubmed: 25536934
J Control Release. 2015 Feb 28;200:87-96
pubmed: 25555362
Mass Spectrom Rev. 2016 Jan-Feb;35(1):3-21
pubmed: 25705034
PLoS One. 2015 Mar 23;10(3):e0121184
pubmed: 25798862
J Extracell Vesicles. 2015 May 14;4:27066
pubmed: 25979354
Nature. 2015 Jul 9;523(7559):177-82
pubmed: 26106858
Org Biomol Chem. 2015 Oct 14;13(38):9775-82
pubmed: 26264754
Sci Rep. 2016 Apr 18;6:24316
pubmed: 27087061
Biochim Biophys Acta Biomembr. 2017 Mar;1859(3):459-466
pubmed: 27989744
Nat Methods. 2017 Feb 28;14(3):228-232
pubmed: 28245209
Sci Rep. 2017 Aug 15;7(1):8202
pubmed: 28811610
Philos Trans R Soc Lond B Biol Sci. 2018 Jan 5;373(1737):null
pubmed: 29158309
J Lipid Res. 2018 Aug;59(8):1316-1324
pubmed: 29764923
Clin Chem. 1972 Jul;18(7):673-4
pubmed: 5037917
Am J Clin Pathol. 1970 Jan;53(1):89-91
pubmed: 5410040
Clin Chem. 1977 Sep;23(9):1669-78
pubmed: 556319
J Lipid Res. 1982 Jul;23(5):762-9
pubmed: 7119573