Quantitative Fragmentation Model for Bottom-Up Shotgun Lipidomics.
Journal
Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536
Informations de publication
Date de publication:
17 09 2019
17 09 2019
Historique:
pubmed:
24
8
2019
medline:
23
9
2020
entrez:
24
8
2019
Statut:
ppublish
Résumé
Quantitative bottom-up shotgun lipidomics relies on molecular species-specific "signature" fragments consistently detectable in tandem mass spectra of analytes and standards. Molecular species of glycerophospholipids are typically quantified using carboxylate fragments of their fatty acid moieties produced by higher-energy collisional dissociation of their molecular anions. However, employing standards whose fatty acids moieties are similar, yet not identical, to the target lipids could severely compromise their quantification. We developed a generic and portable fragmentation model implemented in the open-source LipidXte software that harmonizes the abundances of carboxylate anion fragments originating from fatty acid moieties having different sn-1/2 positions at the glycerol backbone, length of the hydrocarbon chain, and number and location of double bonds. The postacquisition adjustment enables unbiased absolute (molar) quantification of glycerophospholipid species independent of instrument settings, collision energy, and employed internal standards.
Identifiants
pubmed: 31441640
doi: 10.1021/acs.analchem.9b03270
pmc: PMC6751524
doi:
Substances chimiques
Glycerophospholipids
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
12085-12093Références
J Lipid Res. 2017 Dec;58(12):2275-2288
pubmed: 28986437
J Am Soc Mass Spectrom. 2000 Nov;11(11):986-99
pubmed: 11073262
J Lipid Res. 2013 Jun;54(6):1523-1530
pubmed: 23549332
Mol Syst Biol. 2012;8:600
pubmed: 22864382
Anal Chem. 2002 Mar 1;74(5):941-9
pubmed: 11924996
Anal Chim Acta. 2019 Jul 11;1061:28-41
pubmed: 30926037
Anal Chem. 2011 Jun 1;83(11):4243-50
pubmed: 21500847
Trends Biochem Sci. 2016 Nov;41(11):954-969
pubmed: 27663237
J Lipid Res. 2003 Nov;44(11):2181-92
pubmed: 12923235
Nat Commun. 2019 Jan 8;10(1):79
pubmed: 30622271
Genome Biol. 2011;12(1):R8
pubmed: 21247462
Mass Spectrom Rev. 2017 Nov;36(6):693-714
pubmed: 26773411
J Lipid Res. 2014 Aug;55(8):1668-77
pubmed: 24939921
Trends Analyt Chem. 2019 Jul;116:316-323
pubmed: 31983792
Anal Chem. 2006 Jan 15;78(2):585-95
pubmed: 16408944
Proc Natl Acad Sci U S A. 2009 Feb 17;106(7):2136-41
pubmed: 19174513
J Am Chem Soc. 2017 Nov 8;139(44):15681-15690
pubmed: 28988476
J Lipid Res. 2018 Oct;59(10):2001-2017
pubmed: 30115755
Anal Chem. 2017 Feb 7;89(3):1516-1522
pubmed: 28105803
Analyst. 2015 Oct 21;140(20):6904-11
pubmed: 26312258
Anal Chem. 2006 Sep 1;78(17):6202-14
pubmed: 16944903
Anal Chem. 2011 Jul 15;83(14):5480-7
pubmed: 21634439
Anal Chem. 2017 Jul 5;89(13):7046-7052
pubmed: 28570056
Anal Chem. 2018 Feb 6;90(3):1915-1924
pubmed: 29341601
Proteomics. 2012 Mar;12(6):795-8
pubmed: 22539430
Anal Chem. 2018 Jan 2;90(1):374-397
pubmed: 29166560
J Chromatogr B Analyt Technol Biomed Life Sci. 2009 Sep 15;877(26):2673-95
pubmed: 19269264
Prog Lipid Res. 2016 Jan;61:83-108
pubmed: 26703190
Sci Rep. 2016 Jun 14;6:27710
pubmed: 27295977
Curr Protoc Bioinformatics. 2013 Oct 15;43:14.12.1-14.12.30
pubmed: 26270171
J Mass Spectrom. 2012 Jan;47(1):96-104
pubmed: 22282095