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Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis
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Human Monocyte Subset Distinctions and Function: Insights From Gene Expression Analysis.

Sarah Cormican1,2, Matthew D Griffin1,2

  • 1Regenerative Medical Institute (REMEDI) at CÚRAM Centre for Research in Medical Devices, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Ireland.

Frontiers in Immunology
|June 26, 2020
PubMed
Summary
This summary is machine-generated.

Monocytes, key innate immune cells, exist as classical, intermediate, and nonclassical subsets. Transcriptomic analysis supports these distinct human monocyte subsets and their roles in health and disease.

Keywords:
flow cytometrygene expressionimmune responseinflammationmicroarraymonocyte subsetsmonocytesnext generation sequencing

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Area of Science:

  • Immunology
  • Cell Biology
  • Genomics

Background:

  • Monocytes are innate immune cells with significant heterogeneity in circulation.
  • Three human monocyte subsets (classical, intermediate, nonclassical) are defined by surface markers and have distinct functional properties and disease associations.
  • Conflicting functional data for intermediate monocytes suggests further heterogeneity.

Purpose of the Study:

  • To review transcriptomic evidence supporting distinct human monocyte subsets.
  • To evaluate insights from gene expression analysis into monocyte subset functional distinctions.
  • To explore the utility of transcriptomics in identifying disease-specific monocyte functional changes.

Main Methods:

  • Review of transcriptomic data and gene expression analysis.
  • Critical evaluation of existing literature on monocyte subsets.
  • Analysis of phenotypic and functional differences using genetic sequencing technologies.

Main Results:

  • Transcriptomic data provides strong evidence for three separate monocyte subsets.
  • Gene expression analysis offers insights into functional distinctions between monocyte subsets.
  • Transcriptomic studies can reveal subset-specific functional changes in disease states.

Conclusions:

  • Transcriptomics confirms the existence of distinct classical, intermediate, and nonclassical monocyte subsets.
  • Gene expression analysis is crucial for understanding functional heterogeneity and disease associations.
  • Further transcriptomic research can elucidate novel monocyte subpopulations and their roles in pathology.