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ZDHHC_lipidomics_2023.zip

Lipidomics Methods 

Lipid extraction: HEK293T cells were seeded in 6-well plates, grown to 70% confluency and treated with bumped fatty acid probes (15 µM) for 4 h. Cells were dislodged into their growth media by pipetting and pelleted by centrifugation (500 x g, 5 min). The cell pellet was washed 2X with ice-cold PBS and pelleting by centrifugation. Subsequently, the cells were resuspended in 500 µL of ice-cold 150 mM ammonium bicarbonate. An aliquot (10%) was kept aside for protein concentration determination and the remaining sample snap-frozen in liquid nitrogen and stored at -80°C until further processing. For protein concentration determination, cells were lysed in M-PER™ Mammalian Protein Extraction Reagent (Thermo Fisher, 78501) and protein content determined using the Pierce™ BCA Protein Assay Kit (Thermo Fisher, 23227) as per the manufacturer’s instructions. An aliquot equivalent to 100 µg protein per sample were used for lipid extraction. Lipid were extracted by the methyl-tert-butyl ether (MTBE) method with minor modifications62. Extractions were performed in glass vials fitted with Teflon-lined caps using MS-grade solvents and water. Glass pipettes were used to handle any MTBE-containing solutions or lipid extracts. Methanol (1.5 mL) was added and the protein sample vortexed. MTBE (5 mL) was added and the mixture was incubated for 1 h at RT on a shaker. Phase separation was induced by the addition of water (1.25 mL) followed by incubation for 10 min at room temperature. The sample was centrifuged (1,000 x g, 10 min) and the upper organic phase collected. The lower aqueous phase was re-extracted by addition of 1.67 mL of solvent mixture comprising MTBE/methanol (10:3, v/v) and 0.32 mL water. The samples were vortexed, incubated for 10 min and centrifuged (1000 x g, 10 min). The upper phase was recovered, and the combined organic phases were evaporated at 37°C under a stream of nitrogen and stored at -20°C. Lipid extracts were reconstituted in 100 µL loading buffer (isopropanol/water/acetonitrile, 2:1:1, v/v/v). Blank control extraction was performed on a 200 µL aliquot of 150 mM ammonium bicarbonate solution. Quality control (QC) samples were prepared by pooling a small aliquot of all experimental samples after resuspension in loading buffer. 

Ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS): Analysis was performed on a 1290 Infinity II UHPLC system coupled to a 6550 iFunnel quadrupole time-of-flight (QTOF) mass spectrometer (Agilent Technologies). The reversed-phase chromatography protocol was optimized with minor modifications from Cajka and Fiehn63. Extracted lipids were separated on an Acquity UPLC CSH C18 column (130 Å, 1.7 μm, 2.1 x 100 mm) fitted with an Acquity UPLC CSH C18 VanGuard pre-column (130 Å, 1.7 µm, 2.1 mm x 5 mm) (both Waters). The column was maintained at 65°C at a flowrate of 0.6 mL/min. The mobile phases used were 60:40 (v:v) acetonitrile/H2O (solvent A) and 10:90 (v:v) acetonitrile/isopropanol (solvent B). Solvent A and B were supplemented with 10 mM ammonium formate and 0.1% formic acid for ESI positive mode and with 10 mM ammonium acetate for ESI negative mode analysis. UHPLC gradient elution was carried out as follows: 0−2 min 15-30% B; 2-2.5 min 30-48% B; 2.5−11 min 48-82% B; 11-11.5 min 82-99% B; 11.5-14.50 min 99% B. The gradient was returned to initial conditions over 0.5 min and the column equilibrated for 3 min before subsequent runs. Between injections a 100% isopropanol needle wash was performed. For negative mode 5 µL (MS mode) or 10 µL (MS/MS mode) of sample and for positive mode 4 µL (MS mode) or 8 µL (MS/MS mode) of sample were injected. Samples were injected in randomized order, with QC sample injections added to the start, middle and end of each sample sequence to ensure consistency and reproducibility of all acquisition parameters. Samples were loaded in a random order by blinded selection from pooled anonymously labelled samples. Electrospray parameters were set as follows: gas and sheath gas temperature, 200°C; drying gas flow, 14 L/min; sheath gas flow, 11 L/min; sheath gas temperature, 350°C; nebulizer pressure, 35 psig; capillary voltage, 3,000 V; nozzle voltage, 1,000 V. MS-TOF fragmentor and Oct 1 RF Vpp radio voltage were set to 350 and 750 V respectively. The QTOF was calibrated and operated in the extended dynamic range mode (∼2 GHz) in the mass range 50 to 1700 m/z. Spectra were acquired in centroid mode with an acquisition rate of 2 spectra/s for MS mode acquisition. Data was acquired in MS mode for quantitative analysis of the natural lipidome, and MS/MS mode to obtain data for lipid structure assignment. MS/MS data was acquired in auto-MS/MS mode (data-dependent). Spectra were acquired in centroid mode with an acquisition rate of 1 and 5 spectra/s for MS and MS/MS acquisition, respectively. Collision energy was adjusted to -35 eV and 30 eV for negative and positive modes, respectively. Mass range for precursor selection was 300-1650 m/z (negative) and 250-1680 m/z (positive). Fragmentation was triggered if the precursor reached 5000 (negative) or 2000 (positive) counts and maximum precursors per cycle was set to 5. MS/MS isolation width for precursors was selected as narrow (1.3 m/z). Active exclusion was enabled, set to exclude after 3 spectra and release after 0.1 min. To improve precursor selection, background ions were added to an exclusion list. For structure determination of probe-derived lipids, a list of preferred precursor ions was generated for each probe to improve MS/MS coverage of features originating from probe metabolism. MS/MS analysis of DMSO control samples were used to confirm assignment of natural lipids. 

Quantitative analysis of natural lipidome: Lipid annotations and quantifications were performed following the guidelines of the Lipidomics Standard Initiative (https://lipidomics-standards-initiative.org/). Feature extraction was carried out in Mass Hunter Profinder (v. 10.0, Agilent Technologies) using the “Batch Targeted Feature Extraction” option. Features were matched to an in-house library containing mass and retention time information of lipid species including glycerophospholipids, sphingolipids, fatty acids and glycolipids. All lipids in the database were previously assigned from MS/MS data using MS-DIAL64 followed by manual curation. H+, Na+ and NH4+ adducts were selected for positive mode and H−, C2H3O2− and CHO2− adducts were selected for negative mode data. Both mass and retention time were required for feature matching. Match tolerance was set to 5 ppm for mass and 0.15 min for retention time. The EIC extraction range was limited to +/- 0.3 min of the expected retention time. An overall score of >70 was required for feature matching, with the contribution to overall score set as follows: Mass score 100, Isotope abundance score 60, Isotope spacing score 50, Retention time score 100. Features over 20% of saturation limit were excluded from the dataset. Matched features were manually inspected and re-integrated where required and checked for correct adduct pattern for the relevant lipid class. Data were exported as .csv files containing the identity, peak area and the retention time of each lipid species. Further data analysis and data representation was performed in Excel and GraphPad Prism. The relative abundance of each lipid species within a class was calculated as a percentage of the summed peak areas of all species identified within the class. TG species were quantified from data acquired in positive mode while all other species were quantified from data acquired in negative mode. n=5 for each experimental condition. 

Assignment of probe-derived lipids: Feature extraction of data acquired in MS mode was carried out in Mass Hunter Profinder (v. 10.0, Agilent Technologies) using the “Batch Recursive Feature Extraction (small molecule/peptide)” option. Samples were grouped according to experimental condition. All parameters except those detailed below were used as pre-set by the program. Peak heights were set to a minimum of 3000 counts. H+, Na+ and NH4+ adducts were selected for positive mode and H−, C2H3O2− and CHO2− adducts were selected for negative mode. For compound binning and alignment, retention time tolerance was set to (+/- 0% + 0.15 min) and mass tolerance to (+/- 5 ppm + 2 mDa). A MFE score of at least 70 was required in at least 4 of 6 samples per group. For match tolerance, the mass was set to +/- 10 ppm and retention time to +/- 0.15 min. The EIC extraction range was limited to +/- 0.15 min of the expected retention time. An overall score of >75 was required for feature matching, with the contribution to overall score set as follows: Mass score 100, Isotope abundance score 60, Isotope spacing score 50, Retention time score 100. Features over 20% of saturation limit were excluded from the dataset. Post-processing filters were set to require a score (Tgt) of at least 50 in 4 out of 6 samples per experimental group. Manual filtering was performed to remove features present in the blank extraction samples. To create a list of features originating from probe metabolism, only features unique to each probe condition were selected. All features present in DMSO control samples were discarded. Features were manually inspected and re-integrated where required. The feature lists were used to create inclusion lists for MS/MS analysis and peak lists for lipid annotations as described below. 

Funding

C29637/A27506

A universal chemical proteomic platform to uncover the impact of dynamic protein S-acylation in cancer

Engineering and Physical Sciences Research Council

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C29637/A20183

DRCNPG-Nov21\100001

C24523/A27435

Investigation of circulating tumour DNA in the early detection of KRAS and EGFR mutant cancers.

Wellcome Trust

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Manipulating membranes: How do lipids interact with the cytoskeleton?

Wellcome Trust

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Oncogene Biology Laboratory

Cancer Research UK

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