Lipid Discovery by Combinatorial Screening and Untargeted LC-MS/MS

被引：10

作者：

Bilgin, Mesut ^{[1
,7
]}

Born, Petra ^{[1
]}

Fezza, Filomena ^{[2
,3
]}

Heimes, Michael ^{[4
]}

Mastrangelo, Nicolina ^{[5
]}

Wagner, Nicolai ^{[1
]}

Schultz, Carsten ^{[4
]}

Maccarrone, Mauro ^{[3
,5
]}

Eaton, Suzanne ^{[1
]}

Nadler, Andre ^{[1
,4
]}

Wilm, Matthias ^{[6
]}

Shevchenko, Andrej ^{[1
]}

机构：

[1] Max Planck Inst Cell Biol & Genet, Pfotenhauerstr 108, D-01307 Dresden, Germany

[2] Univ Roma Tor Vergata, Dept Expt Med & Surg, Via Montpellier 1, I-00133 Rome, Italy

[3] Fdn Santa Lucia, European Ctr Brain Res, Via Fosso Fiorano 65, I-00143 Rome, Italy

[4] EMBL, Meyerhofstr 1, D-69117 Heidelberg, Germany

[5] Campus Bio Medico Univ Rome, Dept Med, Via Alvaro Portillo 21, I-00128 Rome, Italy

[6] Univ Coll Dublin, Conway Inst Biomol & Biomed Res, Dublin 4, Ireland

[7] Ctr Autophagy Recycling & Dis, Danish Canc Soc Res Ctr, Unit Cell Death & Metab, DK-2100 Copenhagen, Denmark

来源：

SCIENTIFIC REPORTS | 2016年 / 6卷

关键词：

MASS-SPECTROMETRY; ENDOCANNABINOIDS; PRECURSOR;

D O I：

10.1038/srep27920

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We present a method for the systematic identification of picogram quantities of new lipids in total extracts of tissues and fluids. It relies on the modularity of lipid structures and applies all-ions fragmentation LC-MS/MS and Arcadiate software to recognize individual modules originating from the same lipid precursor of known or assumed structure. In this way it alleviates the need to recognize and fragment very low abundant precursors of novel molecules in complex lipid extracts. In a single analysis of rat kidney extract the method identified 58 known and discovered 74 novel endogenous endocannabinoids and endocannabinoid-related molecules, including a novel class of N-acylaspartates that inhibit Hedgehog signaling while having no impact on endocannabinoid receptors.

引用

页数：6

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