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Mass profiler professional software

Manufactured by Agilent Technologies
Sourced in United States

Mass Profiler Professional software is a data analysis tool designed for processing and analyzing mass spectrometry data. It provides users with a comprehensive set of statistical and visualization tools to identify and characterize compounds within complex samples.

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53 protocols using mass profiler professional software

1

In Vitro Simulated Digestion Protocol

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Experiments were performed in triplicate, and the results were expressed as mean ± standard error of the mean (SEM). Data were analyzed through one-way analysis of variance (ANOVA) in conjunction with Duncan’s multiple range test using SPSS software (version 26.0, SPSS, Inc., Chicago, IL, USA). The p-value was set to 0.05 for a significant difference.
The MS spectra were analyzed and converted to compound Exchange Format (.CEF) files with the help of the “find compounds by molecular feature” tool using Agilent Mass Hunter Qualitative Analysis Software (version B.07.00). The exported files were then imported into Mass Profiler Professional (MPP) software (version 14.0, Agilent Technologies, Santa Clara, CA, USA) for further statistical analysis. Alignment parameters were: RT window = 0.5% + 0.1 min, mass window = 10 ppm + 1 mDa. A principal component analysis (PCA) was performed with MPP to visualize the sample groupings at the different stages of in vitro simulated digestion. The resulting entity list was then processed in the ID browser, which allowed for chemical formulas to be generated and searched against a proprietary database.
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2

Metabolite Extraction and LC-MS/MS Analysis

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An acetonitrile/methanol (1:1, v/v) solution was incorporated into serum samples to obtain the metabolites. The mixture was vortexed for 30 seconds, sonicated at 4°C for 10 minutes and then left at -80°C overnight. On the second day, the samples were centrifuged at 12,000 rpm at 4°C for 15 minutes. The supernatant was debrided, and the pellet was desiccated after vacuum centrifugation. The samples were redissolved in acetonitrile/methanol mixture (150 μL, 1:1, v/v), sonicated at 4°C for 10 minutes, centrifuged at 12,000 rpm for 15 minutes and incubated at -80°C overnight. On the third day the supernatants were dissolved at 4°C and filtered through a nylon membrane (0.22 µm) into sample bottles for LC-MS/MS analysis.
Mass spectrometry conditions: capillary voltage: 3.5 kV positive ion, 3.5 kV negative ion, ion source temp: 325°C, the flow rate of drying gas: 10 L/min, atomization pressure: 35 psi, sheath temp: 370°C, gas flow rate in sheath: 12 L/min.
Raw data were processed using Agilent Profinder software to carry out retention time correction and identification, extraction, integration and alignment of peaks, etc., finally output CEF file. Statistical analysis was conducted using the Agilent Mass Profiler Professional (MPP) software, the Metlin database was also utilized for the identification of substances together with metabolic pathway analysis.
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3

LC-MS/MS Data Analysis for Metabolite Profiling

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The LC-MS/MS data acquired using Agilent Mass Hunter Workstation were processed in Agilent Profinder software version 2.3.1 for batch analysis. The datasets were subjected to spectral peak extraction with a minimum peak height of 600 counts and the charge state for each metabolite was restricted to two. Further, retention time and mass alignment corrections were performed using Agilent Profinder software version 2.3.1 on the runs to remove non-reproducible signals. The resulting features then were exported to Mass Profiler Professional (MPP) software version 2.4.3 (Agilent Technologies, Santa Clara, CA, USA) for statistical analysis. The extracted features were imported into MPP software for statistical analysis. Principle Component Analysis (PCA) was performed to check the quality of the samples after which the data containing filtered features were processed by one-way ANOVA to ascertain differences between control and fungal groups. Only the analytes with p values < 0.05 and fold change (FC) > 5 were treated as statistically significant. Additionally, multiple test corrections using Bonferroni-adjusted p values were applied to reduce false positives and false negatives in the data.
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4

Metabolomic Analysis of Biological Samples

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Analyses were performed with an Agilent 1290 Infinity LC system (UHPLC, Santa Clara, CA) coupled to an Agilent 6550 UHD accurate-mass Q-TOF/MS system with a dual Jet stream electrospray ion source (dual AJS ESI). Raw data extraction was performed using Mass Hunter qualitative analysis software (Agilent Technologies) and then the date were performed with Mass Profiler Professional (MPP) software (Agilent Technologies). The metabolites were identified based on the standards, MS/MS spectra, and the metabolites database Lipid Maps (http://www.lipidmaps.org/) and METLIN (https://metlin.scripps.edu/index.php).
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5

Label-free Serum Proteome Profiling of Meningioma

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Label-free relative quantitation of in-solution digested serum protein extracts from healthy subjects and meningioma patients (MGI) was performed using Agilent 6550 iFunnel Q-TOF LC MS/MS instrument (Agilent Technologies, USA). 3 μg of each trypsin digested sample was diluted in 10 μL of 0.2% FA/5%ACN and 5 μL was injected in triplicate. Molecular Feature Extraction (MFE) algorithm automatically located all sample components down to the lowest level of abundance and extracted all relevant spectral and chromatographic information. 120 min linear gradient ranging from 5% to 45% B was used for the separation of the peptides for label-free analysis. In the acquisition mode the following parameters were used; MS min range (m/z): 100, MS max range (m/z): 3200, and MS and MS/MS scan rate (spectra/sec): 5. While for the precursor selection following parameters were specified; max precursor selection precursors per cycle: 15, threshold (Abs): 1000, threshold (Rel) (%): 0.010, and target (counts/spectrum): 25000. The instrument was operated in a positive ionization mode. Relative quantitation was performed in three technical replicates. Mass Profiler Professional (MPP) software (Agilent Technologies, USA) was used for visualization and identification of statistically significant differences between the two sample groups.
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6

LC-MS/MS Data Analysis for Metabolite Profiling

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The LC-MS/MS data acquired using Agilent Mass Hunter Workstation were processed in Agilent Profinder software version 2.3.1 for batch analysis. The datasets were subjected to spectral peak extraction with a minimum peak height of 600 counts and the charge state for each metabolite was restricted to two. Further, retention time and mass alignment corrections were performed using Agilent Profinder software version 2.3.1 on the runs to remove non-reproducible signals. The resulting features then were exported to Mass Profiler Professional (MPP) software version 2.4.3 (Agilent Technologies, Santa Clara, CA, USA) for statistical analysis. The extracted features were imported into MPP software for statistical analysis. Principle Component Analysis (PCA) was performed to check the quality of the samples after which the data containing filtered features were processed by one-way ANOVA to ascertain differences between control and fungal groups. Only the analytes with p values < 0.05 and fold change (FC) > 5 were treated as statistically significant. Additionally, multiple test corrections using Bonferroni-adjusted p values were applied to reduce false positives and false negatives in the data.
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7

LC-MS Analysis of Tea Metabolites

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The LC-MS analysis of tea samples was based on the previous methods (9 (link)). The column was CORTECS UHPLC C18 Column (2.1 mm × 100 mm, 1.6 μm), Waters, USA. The mobile phase consisted of 0.1% aqueous formic acid (A) and 0.1% acetonitrile (B); the gradient elution was as follows: 0–2 min, 7% B; 2–3 min, 7–12% B; 3–8 min, 12–18% B; 8–12 min, 18–60% B; 12–13 min, 60–100% B; and 13–14 min, 100% B. Samples (2 μl) were eluted at 0.3 ml/min and the column oven was kept at 36°C. Mass spectrometry conditions were as follows: electrospray ion source (ESI), negative ion detection mode acquisition, and scanning range of m/z 100–1,700. ESI source parameters were as follows: dry gas (N2) flow rate of 5 ml/min, dry gas temperature of 300°C, atomization gas pressure of 35 psig, capillary voltage of 3,500 V, nozzle voltage of 1,000 V, capillary outlet voltage of 400 V, and collision energy of 20 eV. The data processing software was the Agilent Profinder software (B.08.00, Agilent, USA) and Mass Profiler Professional (MPP) software (version 14.9, Agilent); processing included noise filtering, molecular feature extraction (MFE), peak alignment, and normalization.
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8

GC-MS Analysis of Derivatized Samples

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The GC-MS Agilent system of model 7200 accurate-mass GC QTOF equipped with a 7890A GC system connected to a detector quadrupole time of flight mass spectrometer was used to acquire mass spectral data. Exactly, 1 μL of derivatized sample was injected into the inlet of the Agilent GC column (J &W Scientific, Folsom, CA, USA) model, HP-5MS; dimensions 30 m × 0.25 mm × 0.25 μm), with 50:1 split mode and ratio. The injector temperature was maintained at 280 °C and the detector was maintained at 290 °C. The oven temperature profile was as follows: an increase from set to 70 to 135 °C with a 2 °C/min, hold for 10 min, an increase from 135 to 220 °C with 4 °C/min, hold for 10 min, an increase from 220 to 270 °C at 3.5 °C/min and then a final hold for 20 min. Helium was used as carrier gas at a constant flow rate of 1.9 mL/min. GC Q-TOF MS, and Auto MS-MS data were processed with Mass Hunter qualitative analysis software (v. B.06.00 SP1, Agilent Technologies Inc., USA). Agilent Mass Profiler Professional (MPP) software was used to eliminate the molecular features produce from background by deduction of data from the blank spectrum. The mass spectral deconvolution was performed by Mass Hunter Unknown Analysis Software (version B.06.00) which automatically detected peaks and deconvoluted the spectra using model ion traces.
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9

Metabolomics Data Analysis Workflow

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With the MassHunter Workstation software (version B.04.00 Qualitative Analysis, Agilent Technologies, Santa Clara, CA), ions were extracted by molecular features characterized by retention time (RT), intensity in apex of chromatographic peak, and accurate mass. These results were then analyzed by Mass Profiler Professional (MPP) software (version 2.2, Agilent Technologies, Santa Clara, CA). We first set up a filtration platform to further filter the initial entities before doing PCA. Only entities with abundance above 3000 cps were selected. These entities were then passed a tolerance window of 0.15 min and 2 mDa chosen for alignment of RT and m/z values, respectively. The data were also normalized by internal standard. We employed one-way analysis of variance (ANOVA) to do the statistical analysis. The p value of ANOVA was set to 0.05 (corresponding with the significance level of 95%). We also performed fold change (FC) analysis to further filter the entities, and only those entities with FC >2 were selected.
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10

Mass Spectrometry Data Analysis

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Spectrum was extracted using the MassHunter Qualitative Analysis software (version B.06.00) (Agilent Technologies). Statistical analysis was performed by Mass Profiler Professional (MPP) software (version 3.12.61) (Agilent Technologies). For normalization, entities were baselined to the median of all samples. This entity list was used for statistical analysis by applying unpaired T-test (one-way ANOVA, asymptotic p-value<0.05) and Benjamini-Hochberg FDR of 1.0% as multiple testing corrections. Entities were compared between samples by fold change in relative intensity.
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