Flow Cytometric Challenges in Plasmacytoid Dendritic Cell (pDC) Identification: Limitation of BDCA-4 (CD304)-Based

Sarolta Demeter1,2, Tünde Fekete1, Beáta Scholtz3

  • 1Department of Immunology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.

Insights

Accurate identification of plasmacytoid dendritic cells (pDCs) is crucial for understanding diseases. This study developed a new gating strategy to reliably identify pDCs even when BDCA-4 markers are expressed on other cells.

Area of Science:

  • Immunology
  • Cell Biology

Background:

  • Plasmacytoid dendritic cells (pDCs) are key players in type I interferon production and disease pathogenesis.
  • Identifying pDCs in peripheral blood mononuclear cells (PBMCs) is challenging due to variable surface marker expression (BDCA-2, BDCA-4).
  • BDCA-4 expression can increase on non-pDC subsets, like monocytes, after prolonged stimulation, complicating pDC identification.

Purpose of the Study:

  • To investigate BDCA-4 expression dynamics on pDCs and other PBMCs after Toll-like receptor (TLR) 7 and TLR9 agonist stimulation.
  • To develop and validate a reliable gating strategy for accurate pDC identification in complex cellular environments.

Main Methods:

  • Flow cytometry analysis of PBMCs from healthy individuals.
  • Prolonged stimulation with TLR7 and TLR9 agonists.
  • Development of a novel gating strategy combining BDCA-4 positivity with non-pDC markers.

Main Results:

  • Prolonged stimulation significantly increased BDCA-4 expression on CD14+ monocytes and other non-pDC populations.
  • The developed gating strategy effectively excluded non-pDCs, enabling accurate pDC identification.
  • This method allows reliable pDC detection using two fluorescent channels under various conditions, including inflammation.

Conclusions:

  • BDCA-4 is not a perfectly specific marker for pDCs during prolonged immune activation.
  • A refined gating strategy is essential for accurate pDC identification in heterogeneous cell populations.
  • This approach enhances the reliability of pDC analysis in both healthy and pathological states.