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.
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.
Abstract:
Human monocytes are a heterogeneous cell population classified into three different subsets: Classical CD14++CD16-, intermediate CD14++CD16+, and non-classical CD14+CD16++ monocytes. These subsets are distinguished by their differential expression of CD14 and CD16, and unique gene expression profile. So far, the variation in inter-cellular gene expression within the monocyte subsets is largely unknown. In this study, the cellular variation within each human monocyte subset from a single healthy donor was described by using a novel single-cell PCR gene-expression analysis tool. We investigated 86 different genes mainly encoding cell surface markers, and proteins involved in immune regulation. Within the three human monocyte subsets, our descriptive findings show multimodal expression of key immune response genes, such as CD40, NFⱪB1, RELA, TLR4, TLR8 and TLR9. Furthermore, we discovered one subgroup of cells within the classical monocytes, which showed alterations of 22 genes e.g. IRF8, CD40, CSF1R, NFⱪB1, RELA and TNF. Additionally one subgroup within the intermediate and non-classical monocytes also displayed distinct gene signatures by altered expression of 8 and 6 genes, respectively. Hence the three monocyte subsets can be further subdivided according to activation status and differentiation, independently of the traditional classification based on cell surface markers. Demonstrating the use and the ability to discover cell heterogeneity within defined populations of human monocytes is of great importance, and can be useful in unravelling inter-cellular variation in leukocyte populations, identifying subpopulations involved in disease pathogenesis and help tailor new therapies.
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