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Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
Published on: September 16, 2012
Distinguishing human peripheral blood CD16+ myeloid cells based on phenotypic characteristics
Phillip D Fromm1,2, Pablo A Silveira1,2, Jennifer L Hsu1
1Dendritic Cell Research, ANZAC Research Institute, Sydney, New South Wales, Australia.
Insights
This study differentiates CD16+ dendritic cells (DC) from CD16+ monocytes (Mo) using advanced cytometry. Distinct differentiation patterns were observed, with CD16+ DC and CD16+ Mo showing similar recovery kinetics after hematopoietic cell transplantation.
Area of Science:
- Immunology
- Cell Biology
- Hematology
Background:
- Human peripheral blood contains myeloid lineage cells, including dendritic cells (DC) and monocytes (Mo).
- DC and Mo are phenotypically diverse, with distinct subsets identified by cell surface markers like CD11c, CD14, and CD16.
- A population of myeloid-derived cells with DC characteristics, expressing CD16 but lacking CD14, is often grouped with CD14dimCD16+ monocytes.
Purpose of the Study:
- To delineate CD14+ monocytes, CD14dimCD16+ monocytes (CD16+ Mo), and CD14-CD16+ DC (CD16+ DC) using high-dimensional clustering.
- To investigate the functional and kinetic relationship between CD16+ DC and CD16+ Mo.
- To identify cell surface markers for phenotypic distinction and future functional analysis.
Main Methods:
- High-dimensional clustering analysis of fluorescence and mass cytometry data.
- In vitro activation with interferon-gamma (IFNγ).
- Analysis of patient samples following auto- and allo-hematopoietic cell transplantation (HCT).
Main Results:
- CD16+ DC and CD16+ Mo populations were clearly delineated.
- Differentiation of CD16+ DC and CD16+ Mo under IFNγ activation in vitro and following allo-HCT in vivo resulted in distinct cell populations.
- Recovery and activation kinetics of blood CD16+ DC in HCT patients mirrored those of CD16+ Mo.
- Expression of CD300c, CCR5, and CLEC5a can distinguish these cell populations phenotypically.
Conclusions:
- CD16+ DC and CD16+ Mo represent distinct myeloid cell populations with unique differentiation pathways.
- CD16+ DC and CD16+ Mo exhibit similar reconstitution and activation kinetics post-HCT.
- CD300c, CCR5, and CLEC5a are promising markers for phenotypically distinguishing CD16+ DC and CD16+ Mo, enabling further functional studies.
Abstract:
Myeloid lineage cells present in human peripheral blood include dendritic cells (DC) and monocytes. The DC are identified phenotypically as HLA-DR+ cells that lack major cell surface lineage markers for T cells (CD3), B cells (CD19, CD20), NK cells (CD56), red blood cells (CD235a), hematopoietic stem cells (CD34), and Mo that express CD14. Both DC and Mo can be phenotypically divided into subsets. DC are divided into plasmacytoid DC, which are CD11c- , CD304+ , CD85g+ , and myeloid DC that are CD11c+ . The CD11c+ DC are readily classified as CD1c+ DC and CD141+ DC. Monocytes are broadly divided into the CD14+ CD16- (classical) and CD14dim CD16+ subsets (nonclassical). A population of myeloid-derived cells that have DC characteristics, that is, HLA-DR+ and lacking lineage markers including CD14, but express CD16 are generally clustered with CD14dim CD16+ monocytes. We used high-dimensional clustering analyses of fluorescence and mass cytometry data, to delineate CD14+ monocytes, CD14dim CD16+ monocytes (CD16+ Mo), and CD14- CD16+ DC (CD16+ DC). We sought to identify the functional and kinetic relationship of CD16+ DC to CD16+ Mo. We demonstrate that differentiation of CD16+ DC and CD16+ Mo during activation with IFNγ in vitro and as a result of an allo-hematopoietic cell transplant (HCT) in vivo resulted in distinct populations. Recovery of blood CD16+ DC in both auto- and allo-(HCT) patients after myeloablative conditioning showed similar reconstitution and activation kinetics to CD16+ Mo. Finally, we show that expression of the cell surface markers CD300c, CCR5, and CLEC5a can distinguish the cell populations phenotypically paving the way for functional differentiation as new reagents become available.

