Summary of Study ST001859
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001172. The data can be accessed directly via it's Project DOI: 10.21228/M86T2S This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST001859 |
| Study Title | dTor affects the fat body lipidome via Nep1r1, Ctdnep1 and Lipin |
| Study Summary | Quantitative MS analysis was performed on ten 4 day-old Drosophila larval fat bodies homogenized in 50µl D-PBS (Dulbecco’s Phosphate Buffered Saline without Mg2+ and Ca2+) by Lipotype using previously described methods (Grillet et al, 2016). |
| Institute | VIB-KU Leuven |
| Department | Dept. of Neurosciences, KU Leuven, 3000 Leuven, Belgium |
| Last Name | Jacquemyn |
| First Name | Julie |
| Address | ON 4, 6e verd Campus Gasthuisberg, Herestraat 49, bus 602, Leuven, NA, 3000, Belgium |
| julie.jacquemyn@kuleuven.be | |
| Phone | 0032479570951 |
| Submit Date | 2021-06-22 |
| Analysis Type Detail | MS(Dir. Inf.) |
| Release Date | 2021-07-18 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003013 | AN003014 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | None (Direct infusion) | None (Direct infusion) |
| Chromatography system | none | none |
| Column | none | none |
| MS Type | ESI | ESI |
| MS instrument type | Orbitrap | Orbitrap |
| MS instrument name | Thermo Q Exactive Orbitrap | Thermo Q Exactive Orbitrap |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | pmol | pmol |
MS:
| MS ID: | MS002802 |
| Analysis ID: | AN003013 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Spectra acquisition Mass spectra were acquired on a hybrid quadrupole/Orbitrap mass spectrometer equipped with an automated nano-flow electrospray ion source in both positive and negative ion mode. Data processing and normalization Lipid identification using LipotypeXplorer (2) was performed on unprocessed (*.raw format) mass spectra. For MS-only mode, lipid identification was based on the molecular masses of the intact molecules. MSMS mode included the collision induced fragmentation of lipid molecules and lipid identification was based on both the intact masses and the masses of the fragments. Prior to normalization and further statistical analysis lipid identifications were filtered according to mass accuracy, occupation threshold, noise and background. Lists of identified lipids and their intensities were stored in a database optimized for the particular structure inherent to lipidomic datasets. Intensity of lipid class-specific internal standards was used for lipid quantification. (2) Herzog, R. et al. A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language. Genome Biol. 12, R8 (2011). |
| Ion Mode: | POSITIVE |
| MS ID: | MS002803 |
| Analysis ID: | AN003014 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Spectra acquisition Mass spectra were acquired on a hybrid quadrupole/Orbitrap mass spectrometer equipped with an automated nano-flow electrospray ion source in both positive and negative ion mode. Data processing and normalization Lipid identification using LipotypeXplorer (2) was performed on unprocessed (*.raw format) mass spectra. For MS-only mode, lipid identification was based on the molecular masses of the intact molecules. MSMS mode included the collision induced fragmentation of lipid molecules and lipid identification was based on both the intact masses and the masses of the fragments. Prior to normalization and further statistical analysis lipid identifications were filtered according to mass accuracy, occupation threshold, noise and background. Lists of identified lipids and their intensities were stored in a database optimized for the particular structure inherent to lipidomic datasets. Intensity of lipid class-specific internal standards was used for lipid quantification. (2) Herzog, R. et al. A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language. Genome Biol. 12, R8 (2011). |
| Ion Mode: | NEGATIVE |
