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Cell metabolism: Functional and phenotypic single cell approaches.

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Summary

Investigating immunometabolism is crucial for understanding immune dysfunction. Single-cell technologies now allow detailed analysis of individual immune cell metabolism, offering new insights into mitochondrial function and cellular metabolism.

Keywords:
FunctionMetabolismMultiparametric flow cytometrySingle-cell

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Area of Science:

  • Immunology and Metabolism
  • Cellular Biology

Background:

  • Immune cell function relies on metabolic pathways; dysregulation leads to immune dysfunction.
  • Deviations in immune cell metabolic states (hypermetabolism/hypometabolism) are linked to diseases like autoimmunity, infections, and cancer.
  • Traditional bulk analysis methods limit detailed immunometabolism studies.

Purpose of the Study:

  • To provide an overview of single-cell approaches for studying immunometabolism.
  • To detail methods for investigating mitochondrial function and metabolic dependence in immune cells.
  • To guide the selection of appropriate experimental settings for studying cell metabolism.

Main Methods:

  • Overview of single-cell technologies: multiparameter flow cytometry, mass cytometry, and RNA cytometry.
  • Focus on methods measuring mitochondrial functions and metabolic dependence.
  • Discussion of experimental settings, strengths, and weaknesses of various approaches.

Main Results:

  • Single-cell technologies enable precise measurement of individual immune cell metabolic states.
  • These methods can be applied to diverse samples from basic, translational, and clinical research.
  • The study outlines how to choose optimal approaches for specific research questions.

Conclusions:

  • Single-cell technologies revolutionize immunometabolism research by enabling high-resolution analysis.
  • Understanding immune cell metabolism at the single-cell level is key to addressing immune dysfunction.
  • This review aids researchers in selecting and applying single-cell methods for studying immunometabolism.