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24 protocols using lipidview software

1

Targeted Lipid Identification in Samples

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In order to build a targeted method to extract out the identified lipids from each sample, a pooled sample was run eight times using the same mass spectrometry method. The lipids were then identified based on their fragmentation patterns using LipidView software (SCIEX, United States). Each lipid species identified had to appear in seven out of the eight replicates and have a coefficient of variation below 20% in order for it to be included in the targeted lipid list. The resultant lipid list was then used to create a targeted method for extracting these specific lipids in LipidView software (SCIEX, United States). The method was then applied to all the samples using MultiQuant v3.0 software (SCIEX, United States). The lipid intensities were corrected to their relevant class based on internal standards. If the duplicate samples varied by more than 30% in intensity, then the samples were re-run. For statistical analysis, zero intensities were imputed by dividing the lowest-intensity lipid by a factor of 1,000.
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2

Shotgun Lipidomics Data Analysis Protocol

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All samples were measured 3 times in parallel. The qualitative analysis of shotgun-MS data was treated by the LipidView software (v2.0, ABSciex, Concord, ON, Canada). In the process of data analysis, the analysis parameters were set according to the following figures: the mass tolerance was 0.5, the minimum signal-to-noise ratio was 10, the minimum% intensity was 1, the average flow injection spectrum from the top was 30% TIC, and the total double bonds were ≤12. OriginPro (2021, OriginLab Corporation, Northampton, UK) was used for plotting, thermal map analysis, and statistical analysis, and the SIMCA (14.1, Sartorius Lab Instruments GmbH & Co., KG, Goettingen, Germany) was used for PCA, OPLS-DA, VIP, and S-plot analysis, etc.
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3

Quantification of Triacylglycerols by ESI-MS/MS

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Triacylglycerols were identified and quantify by ESI-MS/MS as described by Li et al. (2014) (link) with modifications (Gonzalez-Thuillier et al., 2015 (link)). A portion of lipid extract (10 μL) and 0.857 nmol tri15:0-TAG (Nu-Chek Prep, Minnesota, USA) were mixed with chloroform:methanol:300 mM ammonium acetate (24:24:1.75: v/v) to a final volume of 1 ml for direct infusion into the mass spectrometer. TAG was detected as [M + NH4]+ ions by a series of different neutral loss scans, targeting losses of fatty acids. The data were processed using the program Lipid View Software (AB-Sciex, Massachusetts, USA) where isotope corrections are applied. The peak area of each lipid was normalized to the internal standard and further normalized to the weight of the initial sample.
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4

Quantifying Phosphoinositide Levels in MDCK Cells

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Phosphoinositide quantification was performed as described previously (Haag et al., 2012 (link)). Briefly, MDCK cells were plated in 6-well plates and grown for 5 days in Matrigel. Cells from two 6-well plates were combined and subjected to an acidic–neutral extraction of trichloroacetic acid (TCA)-washed cell pellets using PI(4)P 17:0–20:4 and PI(4,5)P2 17:0–20:4 from Avanti Polar Lipids as internal standards for quantification. Mass spectrometry was performed on a QTRAP 5500 instrument (AB Sciex) equipped with a Triversa NanoMate system (Advion Biosciences). Phosphoinositides were measured by scanning for neutral losses of m/z 357 (phosphatidylinositol) and m/z 437 (PIP2) on an AB Sciex QTRAP 5500 instrument at collision energies of 25 eV and 35 eV, respectively. Mass spectra were evaluated using LipidView software (AB Sciex). PIP and PIP2 amounts were normalized to total phospholipids, which was determined in neutral and acidic phases, as described previously (Özbalci et al., 2013 (link)).
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5

Lipid Profiling by Direct Infusion MS

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Lipid extracts were directly infused into the TurboVion source by a syringe pump at 10 μl/min. and analysed by QTRAP5500 mass spectrometer (ABSCIEX, Farmington, MA, USA). Multiple precursor ion and neutral loss scanning methods were used for Information Dependent Acquisition of ms/ms data to detect and quantify the lipid classes as described earlier. Mass analyser conditions in the positive ion mode are as follows: Ionization Potential: 5500 V, Declustering Potential: 120 V, Entrance Potential: 9 V, Collision cell Exit Potential: 9 V. Collision energy for the survey scan was 10 and 45 eV for Enhanced Product Ion scans. In each scan, three ions with highest intensity were chosen for dependent product ion acquisition and the detected ions were excluded for the rest of the experiment after three occurrences. Data were analysed for the identification of lipid species using LipidView software (ABSCIEX). Lipid were quantified against internal standards and normalized against protein values obtained by the Bradford assay 19 (link).
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6

Lipidomics Analysis of Zebrafish Elovl1 Mutants

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Lipid was extracted from fresh livers (∼20 mg) from WT, elovl1a–/– and elovl1b–/– zebrafish. Lipidomics were analyzed by the method described previously (Li et al., 2019 (link)). The liquid chromatography/tandem mass spectrometry (Shimadzu Emit Co., Ltd, Tokyo, Japan) was applied. A Kromasil 100-2.5-C18 column (2.1 mm × 100 mm; 2.5 μm, part number: MH2CLD10) was used as a reversed phase to separate the lipids. Mobile phase A was ultrapure water with 5 mmol/L ammonium acetate. The mobile phase B was methanol with 5 mmol/L ammonium acetate. The HPLC system was coupled to a TRIPLE QUADTM 3500 mass spectrometer (AB Sciex, USA) via electrospray ionization (ESI) source and was ran in negative ion mode under multiple reaction monitoring (MRM), and the LC/MS spectra were obtained by using enhanced production scan mode at a scan speed of 1000 Da/s. Next, the data obtained were extracted and preprocessed with lipid view software (AB Sciex, Redwood City, CA, USA).
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7

HILIC-MS Data Analysis Pipeline

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The initial processing of the HILIC–MS data were performed by using MarkerView (version 1.2.1.1). Isotopic ion peaks were excluded before analysis. A false discovery rate (FDR) algorithm was adopted from Storey's QVALUE R package [22] (link). All the results were analyzed under the bootstrap method to obtain the q-value (Q-plots are provided in Supplementary Fig. S1). Features with (q-value <0.05, and fold change >2) were considered significantly changed. Principal component analysis (PCA) was performed with the Pareto Scaling method to compare groups. Features were identified by comparing accurate mass and fragmentation data to standards in the METLIN (https://metlin.scripps.edu) [23–25] and HMDB (http://www.hmdb.ca) databases [26] (link). Shotgun lipidomic data were processed by using LipidView software (AB Sciex) with a mass tolerance of 0.05 Da, min% intensity=0.1% and S/N≥3. Lipids with different chain length were indicated by their fragments’ mass to charge ratios.
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8

Lipid Profiling by Mass Spectrometry

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Lipid extracts were fractionated on a Shimadzu ODS-3 C18 column at 40 °C and subjected to triple quadrupole mass spectrometry (QTRAP, AB SCIEX). Mass spectra were analyzed using LipidView software (AB SCIEX, US). Prior to the experimental runs, the spectrometry conditions were optimized based on the peak areas of a phosphatidylcholine standard. The fragmentation voltage was optimized by testing in the range 60-240 V in 20-V intervals, and the collision energy was set so that the strongest daughter ion response was 5-40 eV in second-order mass spectra. The lipid pathways were analyzed using a Lipid Pathway Enrichment Analysis (LIPEA) (https://lipea.biotec.tu-dresden.de/analyze), Biotechnology Center (BIOTEC). Technische Universität Dresden. Tatzberg 47/49. 01307, Dresden. Germany.
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9

Lipid Profiling by Shotgun-MS

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Qualitative analysis of shotgun-MS data was performed using the LipidView software (v2.0, ABSciex, Concord, ON, Canada). Software parameter settings: mass tolerance = 0.5, min % intensity = 1, minimum S/N = 10, flow injection average spectrum from top = 30% TIC, total double bonds ≤ 12.
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10

Shotgun Lipidomics Data Analysis

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All samples were measured 3 times in parallel. LipidView software (v2.0, ABSciex, Concord, ON, Canada) was used to undertake qualitative analysis of shotgun-MS data. In the process of data analysis, the relevant parameters of the software were set as follows: the mass tolerance was 0.5, the minimum% intensity was 1, the minimum signal-to-noise ratio was 10, the average flow injection spectrum from the top was 30% TIC, and the total double bond was ≤12. OriginPro (2021, OriginLab Corporation, Northampton, UK), SIMCA (14.1, Sartorius Lab Instruments GmbH & Co. KG, Goettingen, Germany), and Photoshop (2022, Adobe Systems Incorporated, San Jose, CA, USA) were used for plotting, data processing, and statistical analysis.
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