Ontology highlight
ABSTRACT: This study presents untargeted LC–MS/MS metabolomics and lipidomics datasets comparing CON and MAL experimental groups acquired in both positive and negative electrospray ionization modes. For quality control, a pooled QC sample was prepared by mixing equal volumes of all study samples and was analyzed alongside extracted samples. Separation was performed using an Agilent Infinity 1200 UPLC system coupled to an Agilent 6540 Quadrupole Time-of-Flight mass spectrometer (Q-TOF) in data-dependent acquisition (DDA) mode over an m/z range of 50–1000. Chromatographic separation used an Agilent Poroshell column (2.1 × 100 mm, 1.9 μm) with mobile phases (A) 0.1% formic acid in water and (B) 0.1% formic acid in acetonitrile, at 0.4 mL/min, 30 °C, and 10 μL injection volume. The ESI source settings were: gas temperature 250 °C, gas flow 10 L/min, nebulizer 35 psi, sheath gas 250 °C at 11 L/min, capillary 3.5 kV, fragmentor 75 V, and oct RF 750 V; acquisition rate was 2 spectra/s. MS/MS fragmentation used a rolling collision energy of 10–20–40 V. Raw Q-TOF data were processed using Progenesis QI to generate aligned feature tables (m/z, retention time, and intensity; default sensitivity level 3; S/N ≥ 3). Internal standards were removed prior to downstream analysis. Putative annotation was performed using an in-house PMDB combined with HMDB (mass error ≤ 10 ppm; MS/MS match ≥ 35). Features were filtered using a 50% rule, missing values were imputed with minimum values, intensities were sum-normalized, features with QC RSD > 30% were removed, and the matrix was log10-transformed. Statistical analysis included OPLS-DA using the R package ropls (v1.6.2) and significance assessment using VIP > 1 and Student’s t-test (p < 0.05). The deposited files include raw vendor data (.d) for both ion modes and the processed data matrices used for analysis.
INSTRUMENT(S): Liquid Chromatography MS - positive, Liquid Chromatography MS - negative
PROVIDER: MTBLS13731 | MetaboLights | 2026-01-20
REPOSITORIES: MetaboLights
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