Summary of Study ST002334

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001497. The data can be accessed directly via it's Project DOI: 10.21228/M8740F This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002334
Study TitlePhospholipase D3 impact on the endolysosomal lipidome
Study SummaryNeurons rely on the endo-lysosomal network for the maintenance of lipid turnover, removal of dysfunctional organelles and the recycling of proteins. These mechanisms appear to go awry in late-onset Alzheimer’s disease (LOAD). Interestingly, GWA-studies identified risk genes for LOAD linked to endocytic transport regulation (BIN1-CD2AP-PICALM-RIN3-SORL1) and lysosomes (PLD3). Phospholipase D3, also known as PLD3, is a single-pass type II membrane protein that is majorly localized to lysosomes, making it one of the few (or only) risk factors that potentially links lysosomal dysfunction directly to LOAD initiation and progression. CRISPR/Cas9 gene editing was used to generate PLD3 knockout SH-SY5Y cells that were subsequently stably rescued with wild-type PLD3 and coding-variants (M6R & V232M). All cell lines were evaluated for morphological and functional alterations of the endolysosomal compartment, including lipid profiling of endolysosomes magnetically isolated from the different cell lines, as previously described (DOI: 10.1016/j.xpro.2020.100122). A prior isolation step has the unique advantage that it provides spatial resolution to the identified dysregulated networks or compositions. We observe a marked accumulation of storage lipids in endolysosomal isolates; chiefly attributed to cholesterol ester (CE) accretion. A significantly lowered monoacylglycerol level and increased phosphatidylinositol level point to an affected transport/sorting (vesicle/tubule formation).
VIB-KU Leuven
DepartmentCenter for Brain & Disease Research
LaboratoryLaboratory for Membrane Trafficking
Last NameVan Acker
First NameZoë
AddressHerestraat 49 - box 602, 3000 Leuven, Belgium
Submit Date2022-10-27
Raw Data AvailableYes
Raw Data File Type(s)wiff
Analysis Type DetailLC-MS
Release Date2022-11-25
Release Version1
Zoë Van Acker Zoë Van Acker application/zip

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Sample Preparation:

Sampleprep ID:SP002427
Sampleprep Summary:Lipid analysis was performed at Lipometrix - KU Leuven Lipidomics Core Facility (Leuven, Belgium). An amount of sample containing 10 ug of protein was diluted in 700 μl water and mixed with 800 μl 1 N HCl:CH3OH 1:8 (v/v), 900 μl CHCl3, 200 μg/ml of the antioxidant 2,6-di-tert-butyl-4-methylphenol (BHT; Sigma Aldrich) and 3 μl of SPLASH® LIPIDOMIX® Mass Spec Standard (#330707, Avanti Polar Lipids). After vortexing and centrifugation, the lower organic fraction was collected and evaporated using a Savant Speedvac spd111v (Thermo Fisher Scientific) at room temperature and the remaining lipid pellet was stored at - 20°C under argon. Just before mass spectrometry analysis, lipid pellets were reconstituted in 100% ethanol. Lipid species were analyzed by liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI/MS/MS) on a Nexera X2 UHPLC system (Shimadzu) coupled with hybrid triple quadrupole/linear ion trap mass spectrometer (6500+ QTRAP system; AB SCIEX). Chromatographic separation was performed on a XBridge amide column (150 mm × 4.6 mm, 3.5 μm; Waters) maintained at 35°C using mobile phase A [1 mM ammonium acetate in water-acetonitrile 5:95 (v/v)] and mobile phase B [1 mM ammonium acetate in water-acetonitrile 50:50 (v/v)] in the following gradient: (0-6 min: 0% B  6% B; 6-10 min: 6% B  25% B; 10-11 min: 25% B  98% B; 11-13 min: 98% B  100% B; 13-19 min: 100% B; 19-24 min: 0% B) at a flow rate of 0.7 mL/min, which was increased to 1.5 mL/min from 13 minutes onwards. SM, CE, CER, DCER, HCER, LCER were measured in positive ion mode with a precursor scan of 184.1, 369.4, 264.4, 266.4, 264.4 and 264.4 respectively. TAG, DAG and MAG were measured in positive ion mode with a neutral loss scan for one of the fatty acyl moieties. PC, LPC, PE, LPE, PG, PI and PS were measured in negative ion mode by fatty acyl fragment ions. Lipid quantification was performed by scheduled multiple reactions monitoring (MRM), the transitions being based on the neutral losses or the typical product ions as described above. The instrument parameters were as follows: Curtain Gas = 35 psi; Collision Gas = 8 a.u. (medium); IonSpray Voltage = 5500 V and −4,500 V; Temperature = 550°C; Ion Source Gas 1 = 50 psi; Ion Source Gas 2 = 60 psi; Declustering Potential = 60 V and −80 V; Entrance Potential = 10 V and −10 V; Collision Cell Exit Potential = 15 V and −15 V. The following fatty acyl moieties were taken into account for the lipidomic analysis: 14:0, 14:1, 16:0, 16:1, 16:2, 18:0, 18:1, 18:2, 18:3, 20:0, 20:1, 20:2, 20:3, 20:4, 20:5, 22:0, 22:1, 22:2, 22:4, 22:5 and 22:6 except for TGs which considered: 16:0, 16:1, 18:0, 18:1, 18:2, 18:3, 20:3, 20:4, 20:5, 22:2, 22:3, 22:4, 22:5, 22:6. Peak integration was performed with the MultiQuantTM software version 3.0.3. Lipid species signals were corrected for isotopic contributions (calculated with Python Molmass 2019.1.1) and were quantified based on internal standard signals and adheres to the guidelines of the Lipidomics Standards Initiative (LSI) (level 2 type quantification as defined by the LSI).