Metabolic Profiling of Tumor and Immune Cells Integrating Seahorse and Flow Cytometry

Nienke B Goedhart1,2,3,4, Helga Simon-Molas5,6,7,8

  • 1Department of Experimental Immunology, Amsterdam University Medical Centers, Amsterdam, The Netherlands.

Insights

Understanding tumor microenvironment (TME) metabolism is key for cancer progression insights. Combining Seahorse analysis with flow cytometry reveals metabolic signatures in TME cells, aiding immunotherapy research.

Area of Science:

  • Oncology
  • Immunology
  • Metabolomics

Background:

  • Tumor microenvironment (TME) metabolism significantly influences cancer progression and immune function.
  • Metabolic disruptions within the TME can impair anti-tumor immune responses, limiting immunotherapy efficacy.
  • Characterizing cellular metabolism in distinct TME compartments is essential for identifying therapeutic targets.

Purpose of the Study:

  • To detail Seahorse analysis and flow cytometry methods for assessing TME cellular metabolism.
  • To provide a comprehensive approach for analyzing metabolic signatures in tumor cells and T cells.
  • To offer a protocol applicable to cancer research and other pathological conditions.

Main Methods:

  • Extracellular flux analysis (Seahorse) for cellular metabolic characterization.
  • Flow cytometry for complementary metabolic readouts.
  • Application of methods to tumor cells and T cells within the TME context.

Main Results:

  • Demonstration of Seahorse analysis for TME metabolic profiling.
  • Integration of flow cytometry for detailed cellular metabolic assessment.
  • Establishment of a combined methodology for comprehensive TME metabolic analysis.

Conclusions:

  • The combined Seahorse and flow cytometry approach provides a robust method for dissecting TME metabolic heterogeneity.
  • Understanding TME-specific metabolic signatures is critical for developing effective cancer immunotherapies.
  • This methodology can be adapted for studying cellular metabolism in various physiological and pathological settings.