A Single-Cell Gene-Expression Profile Reveals Inter-Cellular Heterogeneity within Human Monocyte Subsets

Susanne T Gren1,2, Thomas B Rasmussen3, Sabina Janciauskiene4

  • 1Cellular Pharmacology, Novo Nordisk A/S, Måløv, Denmark.

Plos One
|December 10, 2015
PubMed

Insights

Human monocyte subsets show significant gene expression variation. Novel single-cell analysis reveals distinct cellular subgroups within classical, intermediate, and non-classical monocytes, suggesting further subdivision based on activation and differentiation.

Area of Science:

  • Immunology
  • Cell Biology
  • Molecular Biology

Background:

  • Human monocytes are classified into three subsets: classical, intermediate, and non-classical, based on CD14 and CD16 expression.
  • Inter-cellular gene expression variation within these monocyte subsets remains largely uncharacterized.

Purpose of the Study:

  • To investigate and describe the cellular variation within human monocyte subsets using single-cell gene expression analysis.
  • To identify novel subgroups within monocyte populations based on distinct gene expression profiles.

Main Methods:

  • Utilized a novel single-cell PCR gene-expression analysis tool.
  • Investigated the expression of 86 genes, including cell surface markers and immune regulatory proteins.
  • Analyzed gene expression variation within classical, intermediate, and non-classical monocyte subsets from a single healthy donor.

Main Results:

  • Discovered multimodal expression of key immune response genes (e.g., CD40, TLR4, TLR9) across monocyte subsets.
  • Identified distinct subgroups within classical monocytes with altered expression of 22 genes (e.g., IRF8, CSF1R, TNF).
  • Found subgroups within intermediate and non-classical monocytes exhibiting distinct gene signatures (8 and 6 altered genes, respectively).

Conclusions:

  • Human monocyte subsets can be further subdivided based on activation status and differentiation, beyond traditional cell surface marker classification.
  • This approach reveals cellular heterogeneity within defined monocyte populations.
  • Findings are crucial for understanding leukocyte variation, identifying disease-associated subpopulations, and developing targeted therapies.