Lipid profiling to identify changes in lipid metabolism in Caenorhabditis elegans upon starvation
| Main Authors: | Dall, Kathrine, Havelund, Jesper, Faergeman, Nils, Witting, Michael |
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| Format: | Proceeding poster Journal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3625673 |
Daftar Isi:
- Introduction One of the most fundamental challenges for all living organisms is to sense and respond to alternating nutritional conditions in order to adapt their metabolism and physiology to promote survival and achieve balanced growth. We used UPLC-UHR-ToF-MS based lipid profiling to examine temporal regulation of metabolism during starvation in wildtype Caenorhabditis elegans and in animals lacking the transcription factor HLH-30. Technological and methodological innovation We performed lipid profiling on a UPLC-UHR-ToF-MS using a previously described RP based method [1]. Employing data dependent acquisition (DDA) we collected over 150.000 MS2 spectra across the entire sample set. In order to be able to annotate lipids we created a workflow within the R statistical language, which performs exact mass searches, library MS2 matching using in silico databases as well as other functions to annotate detected lipid features. Results and impact We detected 4063 lipid features in positive and 2258 in negative ionization mode, which remained after normalization and filtering (detected in all QCs and RSD < 30%). Out of these 2068 were putatively annotated on the MS1 level and 427 on the MS2 level in positive ionization mode, and 955 and 118 in negative mode respectively. Our findings show that starvation alters the abundance of hundreds of lipid species in a temporal and HLH-30-dependent manner. Specifically, cardiolipins show changes exclusively in wildtype animals but not in hlh-30 mutants. References [1] Witting M., et al. 2014. J Chromatogr A. 1359.91-9