To enhance single-cell metabolomics by integrating ion mobility separation with mass cytometry for improved metabolite detection and coverage.
Key Findings:
Detected several thousand metabolic features per cell.
Annotated around 800 metabolites across large single-cell datasets.
Revealed metabolic variation within hepatocytes related to age.
Interpretation:
The integration of ion mobility with selective ion accumulation and tailored computational analysis significantly enhances the resolution and comprehensiveness of single-cell metabolite profiling.
Limitations:
Potential technical variability inherent in single-cell metabolomics.
Dependence on the specific ion mobility-based mass spectrometry platform.
Conclusion:
This method offers a practical approach for comprehensive single-cell metabolite profiling, with potential applications in studying cellular metabolism across various biological contexts.