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Masshunter quantitative analysis

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MassHunter Quantitative Analysis is a software solution from Agilent Technologies designed for the analysis and quantification of data obtained from mass spectrometry instruments. The software provides tools for processing, analyzing, and reporting quantitative results from complex sample measurements.

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38 protocols using masshunter quantitative analysis

1

Comprehensive GC-MS and CE-MS Metabolomics

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For GC-MS, the alignment was carried out with Agilent Mass Profiler Professional version 15.1 and exported into Agilent MassHunter Quantitative Analysis version 10.0 to assign target ions and obtain the compound abundances.
For CE-MS, raw data were processed with MassHunter Profiler software (version 10.0) applying the molecular feature extraction (MFE). All features extracted by MFE were aligned across all samples with the batch recursive feature extraction. The continuously infused references masses (m/z 121.0509 and m/z 922.0098) and those features found in blanks were excluded from the final list.
For both GC-MS and CE-MS analysis, metabolites with poor reproducibility (coefficient of variation (CV) in the QCs greater than 30%) and those features not presented in 70% of samples in at least one sample group were discarded. Regarding GC-MS, the final concentration of each metabolite was also normalized according to the IS abundance. Finally, the QC intensity drop was corrected, and the matrixes were further used for statistical analysis (full description in Supplementary Data 2).
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2

Cerebral Organoid Lipid Profiling by UHPLC-MS

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The cerebral organoid extract was analyzed using a 1290 Infinity II UHPLC (Agilent) system coupled with the 6469 Triple Quadrupole mass spectrometer (Agilent). 1 µl of lipid extract was injected twice on the reverse phase microbore column (CSH, 1 mm *100 mm, 1.7 μm, Waters), separated at 100 µl/min flow rate over 15 min. For the gradient elution, mobile phase A was 10 mM ammonium formate in acetonitrile: water (60:40), and mobile phase B was 10 mM ammonium formate in isopropanol: acetonitrile (90:10). The gradient elution program was: 0 min 15% B, 1.86 min 30% B, 2.32 min 48%, 9.5 min 82% B, 12.5 to 13.5 min 99% B and 13.5 to 15 min column re-equilibration. The positive ion mode source parameters were: gas temp 200 °C, gas flow 14 l/min, nebulizer pressure 45 psi, sheath gas temp 400 °C, and sheath gas flow 8 l/min capillary voltage 4 kV, nozzle voltage 500 V, and unit resolution for Q1 and Q3. Data were acquired using the dynamic SRM mode [79 (link)–81 (link)], with a 2 min retention time window per transition. Raw data files were processed using Mass Hunter Quantitative analysis (B.07.00, Agilent Technologies) software. The concentrations of lipid species were calculated from the respective internal standard and further normalized to total lipid content to account for the variable sample amount.
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3

HPLC-MS/MS Quantification of 6dEB

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All experiments were carried out on an Agilent 1200 HPLC system coupled to a 6460 Triple Quadrupole mass spectrometer equipped with a Jet stream ESI-source (Agilent Technologies, Waldbronn, Germany). The chromatographic separation was achieved temperature controlled at 25 °C on a Synergi Fusion-RP column (2.5 μm, 50 × 2.0 mm) equipped with a pre-column of the same material (4 × 2.0 mm) both from Phenomenex (Aschaffenburg, Germany). A gradient of mobile phase A (0.1 % formic acid) and mobile phase B (acetonitrile) was used as shown in Table S2 in the Supplementary Material (flow rate of 0.5 mL/min, injection volume of 10 μL). The MS was operated in positive ion mode with multi-reaction monitoring (MRM). The MS/MS fragmentation pattern of 6dEB and the internal standard compounds were determined and the MS parameters were optimized. The optimized source parameters are displayed in Table S3 in the Supplementary Material.
6dEB was monitored with transitions m/z 409.1 to m/z 311.2 for relative quantification and m/z 409.1 to m/z 391.2 and m/z 293.2 for identification. Collision energies for the transitions of 6dEB were 25, 21, and 25 V, respectively. Data was acquired and evaluated using the Mass Hunter software; quantitative analysis was done using Mass Hunter Quantitative Analysis (version B03.02, Agilent Technologies, Waldbronn, Germany).
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4

Lipid Quantification and Analysis

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The MassHunter Data Analysis Software (Agilent Technologies) was used to collect the results and the software MassHunter Quantitative Analysis (Agilent Technologies) was used to quantify every lipid species in the samples. Concentrations were obtained in nmol/mL. Multivariate statistics (hierarchical clustering and principal component analysis) were done using Metaboanalyst software and multivariate linear regression adjusting for sex and clinical lipids (cholesterol and triacylglycerides) with all p-values were corrected for multiple comparisons using the Benjamini–Hochberg approach. p values of less than .05 were considered significant. Analyses were performed using R statistical software, version 3.4.4.
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5

LC-MS Data Analysis of Nucleosides

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Agilent MassHunter Qualitative Analysis and Agilent MassHunter Quantitative Analysis were used for post processing of the LC-MS data. The nucleosides’ peak intensities were normalized to the internal standard isoguanosine and phenol red, the pH indicator of the cell culture medium, which was present in all samples in equal amounts.
For statistical analysis, Microsoft Excel 2016 and MetaboAnalyst 5.0 were used [28 (link)]. The generated data were normalized in MetaboAnalyst using range scaling, which has the advantage of all metabolites becoming equally important so that they can be compared relative to their response range [29 (link)]. Hierarchical clustering was achieved with MetaboAnalyst using the normalized peak areas with Euclidian distance measurement and Ward’s minimum variance. For the analysis of variance (ANOVA), a q-value of 0.05 was used, which was obtained by multiple testing correction (FDR).
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6

Metabolomics Data Preprocessing Protocol

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Data pre-processing was carried out using the ‘Unknown analysis’ software (Agilent Technologies), in which the chromatograms were deconvoluted and Fiehn library [42 (link)] and NIST library (National Institute of Standards and Technology; Gaithersburg, MD, USA) were used for library-based identification of metabolites. Also, some metabolites were identified by using the combination of softwares: MassHunter Qualitative Analysis (Agilent Technologies) and NIST MS Search using NIST and Fiehn libraries. The areas of the identified compounds were integrated using MassHunter Quantitative Analysis (Agilent Technologies).
Data matrix was filtered by keeping features present in 100% of the QC samples and with a coefficient of variation below 30%. Then, the filtered matrix was normalized by median fold change normalization using an in-house script in MATLAB (Mathworks Inc., Natick, MA, USA).
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7

Quantification of Berberine in Tissues

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DIO mice were i.p injected with 5 mg/kg BBR. After 1 h, the animals were sacrificed and plasma, liver, different adipose depots, and muscle were collected and preserved at −80 °C. Tissue samples were analyzed with LC-MS/MS system (Agilent 1200 HPLC coupled to Agilent 6460 Triple Quad instrument, Agilent Technologies, USA) to detect the concentration of BBR. Samples were disrupted with methanol before analysis. The chemicals were firstly separated on Luna PFP (50 × 2.0 mm, 5 μm, Phenomenex) using mixture of methanol-0.1% formic acid and 5 mmol/L ammonium acetate solution (55:45, v/v) with following rate (0.65 ml/min, 0–5 min RT). The chemicals with m/z 336 and 320 were analyzed using electrospray ionization mode with capillary voltage setting to 4 kV. The drying gas temperature was 350 °C with a flow rate of 10 L/min, and the sheath gas temperature was 350 °C with a flow rate of 11 L/min. Data were analyzed by MassHunter Quantitative Analysis (version B.02.01, Agilent Technologies).
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8

Quantifying CoA Esters via LC-MS/MS

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All CoA esters were measured on a triple quadrupole mass spectrometer (Agilent Technologies 6495 Triple Quad LC-MS) equipped with a UHPLC (Agilent Technologies 1290 Infinity II) using a 150 × 2.1 mm C18 column (Kinetex 1.7 µm EVO C18 100 Å) at 25 °C. The injection volume was 2 µL of the diluted samples (1:10 in water). The flow was set to 0.400 mL.min−1 and the separation was performed using 50 mM ammonium formate pH 8.1 (buffer A) and acetonitrile (buffer B). We quantified the CoAs using external standard curves prepared in water with formic acid at pH 3. The standard curves were measured before and after the samples. Except for methylsuccinyl-CoA, all compounds were stable. For methysuccinyl-CoA we calculated the concentration as an average of the two standard curves at the time point the sample was measured. The parameters for the multiple reaction monitoring (MRMs) and the gradient are shown in the tables below. The data analysis was done with Agilent MassHunter Quantitative Analysis (for QQQ). See Supplementary Table 4 (Gradient for the separation of CoA esters) and Supplementary Table 5 (MRM transitions).
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9

Sphingolipid Profiling from Aag2 Cells

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SPs were extracted from Aag2 cells following the protocol published by [124 (link)]. Briefly, cells were trypsinized and washed twice in PBS. Equal cell numbers between treated and control samples were collected. Cer/Sph mixture I Internal standard (Avanti Polar Lipids) was premixed with chloroform at a final concentration of 2 nM. Metabolic extraction was performed as described. Metabolites were dried using nitrogen gas.
An Agilent 1200 Rapid Resolution liquid chromatography (LC) system coupled to an Agilent 6460 series QQQ mass spectrometer (MS) was used to analyze SPs in each sample according to Merrill et al., 2005 with some modifications [124 (link)]. A Waters Xbridge C18 2.1mm x 100mm, 3.5 μm column was used for all LC separations (Waters Corp. Milford, MA). The buffers were (A) methanol/water/formic acid (74/25/1 v/v) + 5mM ammonium formate and (B) methanol/formic acid (99/1 v/v) + 5mM ammonium formate for all analyses. All extracted, dried samples were reconstituted in 200 μL of 80/20 buffer A/B just prior to analysis and 10 μL was injected for each analysis. All data were analyzed with Agilent MassHunter Quantitative Analysis (Version B.06.00). The detailed analysis of different SPs is shown in supplemental materials and methods section (S4S6 Tables).
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10

Quantitative Proteomics of HDL Proteins

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Enriched apoA-1-associated lipoproteins were heat-denatured prior to addition of Endoproteinase LysC (Wako Chemicals USA, Richmond, VA). Samples were digested by incubation in an Eppendorf PCR thermocycler for 4 h at 37 °C, and a defined mixture of 13C6, 15N2-lysine-labeled internal standard peptides was added to the protein-digest. Peptides were detected from 10 uL of mixture using an Agilent 6490 triple quadrupole mass spectrometer operating in dynamic MRM mode, allowing for the targeted detection of peptide targets from apolipoprotein A-1, C-1, C-2, C-3, and C-4. Two transitions were monitored per peptide, and up to two peptides per protein. Peptide signal intensities were obtained via integrating the chromatographic peak for the quantifier transition using MassHunter Quantitative Analysis (Agilent, Santa Clara, CA). The relative abundances of HDL-associated proteins from apoA-1-associated lipoproteins and UC-prepared HDL were highly correlated, with Pearson r values ranging from 0.81 (apoA-2) to 0.99 (apoC-2 and apoC-3) (10 (link)).
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