Quantitative Fragmentation Model for Bottom-Up Shotgun Lipidomics

Schuhmann, Kai; Moon, HongKee; Thomas, Henrik; Ackerman, Jacobo Miranda; Groessl, Michael; Wagner, Nicolai; Kellmann, Markus; Henry, Ian; Nadler, André; Shevchenko, Andrej (2019). Quantitative Fragmentation Model for Bottom-Up Shotgun Lipidomics. Analytical chemistry, 91(18), pp. 12085-12093. American Chemical Society 10.1021/acs.analchem.9b03270

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Nephrology and Hypertension
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Unit Childrens Hospital > Forschungsgruppe Nephrologie / Hypertonie

UniBE Contributor:

Grössl, Michael

Subjects:

600 Technology > 610 Medicine & health
500 Science > 540 Chemistry

ISSN:

0003-2700

Publisher:

American Chemical Society

Language:

English

Submitter:

Michael Grössl

Date Deposited:

14 Apr 2022 15:41

Last Modified:

05 Dec 2022 16:18

Publisher DOI:

10.1021/acs.analchem.9b03270

PubMed ID:

31441640

BORIS DOI:

10.48350/169048

URI:

https://boris.unibe.ch/id/eprint/169048

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