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

Mesut Bilgin; Petra Born; Filomena Fezza; Michael Heimes; Nicolina Mastrangelo; Nicolai Wagner; Carsten Schultz; Mauro Maccarrone; Suzanne Eaton; André Nadler; Matthias Wilm; Andrej Shevchenko

doi:10.1038/srep27920

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

Mesut Bilgin, Petra Born, Filomena Fezza, Michael Heimes, Nicolina Mastrangelo, Nicolai Wagner, Carsten Schultz, Mauro Maccarrone, Suzanne Eaton, André Nadler, Matthias Wilm, Andrej Shevchenko

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

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.

Original language	English (US)
Article number	27920
Journal	Scientific Reports
Volume	6
DOIs	https://doi.org/10.1038/srep27920
State	Published - Jun 17 2016
Externally published	Yes

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@article{3c890aa6a33b4764ae4298645f5ccb72,

title = "Lipid Discovery by Combinatorial Screening and Untargeted LC-MS/MS",

abstract = "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.",

author = "Mesut Bilgin and Petra Born and Filomena Fezza and Michael Heimes and Nicolina Mastrangelo and Nicolai Wagner and Carsten Schultz and Mauro Maccarrone and Suzanne Eaton and Andr{\'e} Nadler and Matthias Wilm and Andrej Shevchenko",

note = "Funding Information: MM was partly supported by PRIN 2010-2011 grant from the Italian Ministry of Education, University and Research. Work in AS, CS and SE laboratories was supported by TRR83 grant (Projects A17, A2 and A19, respectively) from Deutsche Forschungsgemeinschaft (DFG). AS, SE, and AN are members of the Lipid Center program of Max Planck Gesellschaft.",

year = "2016",

month = jun,

day = "17",

doi = "10.1038/srep27920",

language = "English (US)",

volume = "6",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

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T1 - Lipid Discovery by Combinatorial Screening and Untargeted LC-MS/MS

AU - Bilgin, Mesut

AU - Born, Petra

AU - Fezza, Filomena

AU - Heimes, Michael

AU - Mastrangelo, Nicolina

AU - Wagner, Nicolai

AU - Schultz, Carsten

AU - Maccarrone, Mauro

AU - Eaton, Suzanne

AU - Nadler, André

AU - Wilm, Matthias

AU - Shevchenko, Andrej

N1 - Funding Information: MM was partly supported by PRIN 2010-2011 grant from the Italian Ministry of Education, University and Research. Work in AS, CS and SE laboratories was supported by TRR83 grant (Projects A17, A2 and A19, respectively) from Deutsche Forschungsgemeinschaft (DFG). AS, SE, and AN are members of the Lipid Center program of Max Planck Gesellschaft.

PY - 2016/6/17

Y1 - 2016/6/17

N2 - 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.

AB - 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.

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VL - 6

JO - Scientific Reports

JF - Scientific Reports

M1 - 27920

ER -

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

Abstract

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