Deciphering lipid structures based on platform-independent decision rules

Jürgen Hartler, Alexander Triebl, Andreas Ziegl, Martin Trötzmüller, Gerald N Rechberger, Oana Alina Zeleznik, Kathrin A Zierler, Federico Torta, Amaury Cazenave-Gassiot, Markus R Wenk, Alexander Fauland, Craig E Wheelock, Aaron M Armando, Oswald Quehenberger, Qifeng Zhang, Michael JO Wakelam, Guenter Haemmerle, Friedrich Spener, Harald C Köfeler, Gerhard G Thallinger

Research output: Contribution to conferencePosterResearch

Abstract

LC-MS is the method of choice to measure quantitative changes of hundreds of lipids in complex mixtures simultaneously. However,many lipid species are isobaric, resulting inambiguities about the true identity of the lipid in MS1 data. MSn spectra carry the potential to elucidate many structural features of lipid species: the lipid class, their constituent fatty acids, and in most cases the sn-position. However, MSn spectra of a lipid can vary tremendously, because the fragmentation process depends on parameters such as mass spectrometer used, collision energy, and adduct ions. As currently available tools use static databases containing fragment masses,and are as such limited to specific instrumental-setups, we developed a flexible algorithm for automatic identification of lipid structures.

LanguageEnglish
StatusPublished - 18 Oct 2017
Event2nd FoE Day Human- & Biotechnology - HS E3.1, Petersgasse 10-12, Graz, Austria
Duration: 18 Oct 201718 Oct 2017

Other

Other2nd FoE Day Human- & Biotechnology
CountryAustria
CityGraz
Period18/10/1718/10/17

Fingerprint

Lipids
Mass spectrometers
Complex Mixtures
Fatty Acids
Ions

Keywords

  • Algorithms
  • Animals
  • Chromatography, Liquid
  • Lipids
  • Liver
  • Mice
  • Molecular Structure
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tandem Mass Spectrometry
  • Journal Article
  • Lipidomics
  • High-throughput screening
  • Mass spectrometry
  • Software
  • Lipid fragmentation
  • Decision rules

Fields of Expertise

  • Human- & Biotechnology
  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

Cooperations

  • BioTechMed-Graz

Cite this

Hartler, J., Triebl, A., Ziegl, A., Trötzmüller, M., Rechberger, G. N., Zeleznik, O. A., ... Thallinger, G. G. (2017). Deciphering lipid structures based on platform-independent decision rules. Poster session presented at 2nd FoE Day Human- & Biotechnology , Graz, Austria.

Deciphering lipid structures based on platform-independent decision rules. / Hartler, Jürgen; Triebl, Alexander; Ziegl, Andreas; Trötzmüller, Martin; Rechberger, Gerald N; Zeleznik, Oana Alina; Zierler, Kathrin A; Torta, Federico; Cazenave-Gassiot, Amaury; Wenk, Markus R; Fauland, Alexander; Wheelock, Craig E; Armando, Aaron M; Quehenberger, Oswald; Zhang, Qifeng; Wakelam, Michael JO; Haemmerle, Guenter; Spener, Friedrich; Köfeler, Harald C; Thallinger, Gerhard G.

2017. Poster session presented at 2nd FoE Day Human- & Biotechnology , Graz, Austria.

Research output: Contribution to conferencePosterResearch

Hartler, J, Triebl, A, Ziegl, A, Trötzmüller, M, Rechberger, GN, Zeleznik, OA, Zierler, KA, Torta, F, Cazenave-Gassiot, A, Wenk, MR, Fauland, A, Wheelock, CE, Armando, AM, Quehenberger, O, Zhang, Q, Wakelam, MJO, Haemmerle, G, Spener, F, Köfeler, HC & Thallinger, GG 2017, 'Deciphering lipid structures based on platform-independent decision rules', Graz, Austria, 18/10/17 - 18/10/17, .
Hartler J, Triebl A, Ziegl A, Trötzmüller M, Rechberger GN, Zeleznik OA et al. Deciphering lipid structures based on platform-independent decision rules. 2017. Poster session presented at 2nd FoE Day Human- & Biotechnology , Graz, Austria.
Hartler, Jürgen ; Triebl, Alexander ; Ziegl, Andreas ; Trötzmüller, Martin ; Rechberger, Gerald N ; Zeleznik, Oana Alina ; Zierler, Kathrin A ; Torta, Federico ; Cazenave-Gassiot, Amaury ; Wenk, Markus R ; Fauland, Alexander ; Wheelock, Craig E ; Armando, Aaron M ; Quehenberger, Oswald ; Zhang, Qifeng ; Wakelam, Michael JO ; Haemmerle, Guenter ; Spener, Friedrich ; Köfeler, Harald C ; Thallinger, Gerhard G. / Deciphering lipid structures based on platform-independent decision rules. Poster session presented at 2nd FoE Day Human- & Biotechnology , Graz, Austria.
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T1 - Deciphering lipid structures based on platform-independent decision rules

AU - Hartler, Jürgen

AU - Triebl, Alexander

AU - Ziegl, Andreas

AU - Trötzmüller, Martin

AU - Rechberger, Gerald N

AU - Zeleznik, Oana Alina

AU - Zierler, Kathrin A

AU - Torta, Federico

AU - Cazenave-Gassiot, Amaury

AU - Wenk, Markus R

AU - Fauland, Alexander

AU - Wheelock, Craig E

AU - Armando, Aaron M

AU - Quehenberger, Oswald

AU - Zhang, Qifeng

AU - Wakelam, Michael JO

AU - Haemmerle, Guenter

AU - Spener, Friedrich

AU - Köfeler, Harald C

AU - Thallinger, Gerhard G

PY - 2017/10/18

Y1 - 2017/10/18

N2 - LC-MS is the method of choice to measure quantitative changes of hundreds of lipids in complex mixtures simultaneously. However,many lipid species are isobaric, resulting inambiguities about the true identity of the lipid in MS1 data. MSn spectra carry the potential to elucidate many structural features of lipid species: the lipid class, their constituent fatty acids, and in most cases the sn-position. However, MSn spectra of a lipid can vary tremendously, because the fragmentation process depends on parameters such as mass spectrometer used, collision energy, and adduct ions. As currently available tools use static databases containing fragment masses,and are as such limited to specific instrumental-setups, we developed a flexible algorithm for automatic identification of lipid structures.

AB - LC-MS is the method of choice to measure quantitative changes of hundreds of lipids in complex mixtures simultaneously. However,many lipid species are isobaric, resulting inambiguities about the true identity of the lipid in MS1 data. MSn spectra carry the potential to elucidate many structural features of lipid species: the lipid class, their constituent fatty acids, and in most cases the sn-position. However, MSn spectra of a lipid can vary tremendously, because the fragmentation process depends on parameters such as mass spectrometer used, collision energy, and adduct ions. As currently available tools use static databases containing fragment masses,and are as such limited to specific instrumental-setups, we developed a flexible algorithm for automatic identification of lipid structures.

KW - Algorithms

KW - Animals

KW - Chromatography, Liquid

KW - Lipids

KW - Liver

KW - Mice

KW - Molecular Structure

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Tandem Mass Spectrometry

KW - Journal Article

KW - Lipidomics

KW - High-throughput screening

KW - Mass spectrometry

KW - Software

KW - Lipid fragmentation

KW - Decision rules

M3 - Poster

ER -