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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Cell Biology

Background:

  • Cellular chemical composition differences drive specialized biological functions.
  • Comprehensive single-cell metabolite analysis is crucial for understanding these functions.

Purpose of the Study:

  • To introduce CyESI-MS, a novel label-free mass cytometry technique.
  • To achieve high-coverage and high-throughput detection of cellular metabolites at the single-cell level.

Main Methods:

  • Coupling flow cytometry with electrospray ionization mass spectrometry (ESI-MS).
  • Online extraction, lysis, and real-time MS analysis of cells in suspension.
  • Label-free detection of a wide range of metabolites.

Main Results:

  • Detection and identification of hundreds of metabolites (nucleotides, lipids, amino acids, etc.) from single cells.
  • Successful discrimination of four cancer cell lines and three breast cancer subtypes using metabolic profiles.
  • Identification of 102 characteristic ions and 40 significant molecules for distinguishing breast cancer subtypes.

Conclusions:

  • CyESI-MS provides a powerful platform for single-cell metabolic profiling.
  • The identified metabolic markers show potential for clinical diagnosis of breast cancer subtypes.
  • CyESI-MS is poised to advance the study of cellular heterogeneity on a metabolic level.