Six-well plates, with 4-6 biological replicate wells per condition (separate wells, same passage) and 3 independent experimental days. Each plate includes a process blank (medium-only extraction) and a pooled QC sample injected every 8-10 runs to monitor instrument drift. Cells are seeded at 5 x 10^5 cells/well and harvested at ~80% confluence. A single metabolite-quenching time point is used; for flux studies, ^13C6-glucose labeling time courses (0, 5, 15, 30, 60 min) replace the static design. Inject samples in randomized order, bracketed by QCs and solvent blanks.
BSL-1; HepG2 is a non-pathogenic human-derived line (handle human cell lines with universal precautions). Methanol and acetonitrile are flammable and toxic — handle in a fume hood, keep away from ignition sources, wear nitrile gloves, lab coat, and safety glasses. Ammonium hydroxide is corrosive and an inhalation hazard. Liquid nitrogen/dry ice: use cryo-gloves and ensure ventilation to prevent asphyxiation. Collect organic solvent waste in a dedicated flammable-solvent container.
Process blank: extraction solvent carried through the full workflow with no cells, to flag background/carryover. Vehicle control: cells treated with the carrier solvent at matched concentration. Pooled QC: equal-volume mix of all samples injected repeatedly to assess analytical reproducibility (target CV <20% for reliable metabolites). Stable-isotope internal standards spiked at quenching control for extraction efficiency and ion-suppression. A calibration curve of authentic standards (8-point, 1 nM-100 µM) anchors quantification. Optionally include a known metabolic inhibitor (e.g., 2-deoxyglucose) as a positive biological control that predictably depletes downstream glycolytic intermediates.
Well-behaved data show sharp, symmetric chromatographic peaks with retention-time drift <0.1 min across the batch, QC CV <20% for the majority of metabolites, and internal-standard recovery 70-120%. Typical intracellular lactate dominates (high abundance); TCA intermediates like citrate and malate are mid-abundance; α-KG and PEP are lower. A glycolytic shift shows elevated lactate/G6P/FBP and depressed TCA pools. Calibration curves should be linear (R² > 0.99) over the working range.
To extract polar metabolites from cultured HepG2 hepatocellular carcinoma cells and quantify ~25 central carbon metabolism intermediates (glycolysis, pentose phosphate pathway, TCA cycle) by reversed-phase/HILIC liquid chromatography coupled to triple-quadrupole tandem mass spectrometry in multiple reaction monitoring (MRM) mode. The protocol delivers relative and, where stable-isotope standards are available, absolute quantification of metabolite pool sizes normalized to cell number or protein.
Independent variable: the treatment condition (and labeling time for flux). Dependent variables: peak-area ratios and concentrations of each targeted metabolite (nmol per 10^6 cells or per mg protein), and ^13C labeling fractions if applicable. Controlled variables: cell confluence at harvest, quenching speed/temperature, extraction solvent ratio and volume, internal standard amount, injection volume, column temperature, gradient, and instrument tune state.
We hypothesize that a glycolytic perturbation (e.g., a treatment shifting cells toward the Warburg phenotype) will increase intracellular lactate and glycolytic intermediates (G6P, FBP, PEP) by >50% while reducing TCA intermediates (citrate, α-KG, malate), relative to vehicle controls. Conversely, an OXPHOS-promoting treatment will elevate TCA intermediate pools without raising lactate.
Process raw files in vendor software (e.g., MassHunter Quantitative, Skyline, or MAVEN/El-MAVEN for open tools). Integrate each MRM peak, divide analyte area by its internal-standard area, and back-calculate concentration from the calibration curve. Normalize to cell count or protein per well. For isotope tracing, correct for natural abundance (e.g., IsoCor) and compute mass-isotopomer distributions and labeling fractions. Filter metabolites with QC CV >30% or below LOD. Generate a metabolite-by-sample matrix for downstream stats.
Use biological replicate as the experimental unit (n=4-6 per condition across 3 days). Log-transform peak-area ratios to stabilize variance. For two groups, apply Welch's t-test per metabolite; for multiple conditions, one-way ANOVA. Correct for multiple comparisons across the metabolite panel using Benjamini-Hochberg FDR (q < 0.05). Set alpha = 0.05. Report fold-change and FDR-adjusted p-values; for global structure, PCA and hierarchical clustering of z-scored data.