Monocyte Dendritic Cell Analysis
Monocyte Dendritic Cell Analysis - Related Videos
03:47
Generation of Immature, Mature, and Tolerogenic Dendritic Cells from Monocytes
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2025
This video demonstrates the generation of immature, mature, and tolerogenic dendritic cells, or DCs, from human monocytes. The incubation of monocytes with growth factors and cytokines leads to the production of immature DCs. In response to immune regulatory molecules, immature DCs differentiate into tolerogenic and mature DCs.
08:31
Characterization of Human Monocyte-derived Dendritic Cells by Imaging Flow Cytometry: A Comparison between Two Monocyte Isolation Protocols
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Cited by 19 •
2016
This study compares two different methods of human monocyte isolation for obtaining in vitro dendritic cells (DCs). Monocytes are selected by adherence or negatively enriched by magnetic separation. Monocyte yield and viability along with MDDC viability, proliferation and CD11c/CD14 surface marker expression will be compared between both methods.
09:04
Activation and Measurement of NLRP3 Inflammasome Activity Using IL-1β in Human Monocyte-derived Dendritic Cells
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Cited by 7 •
2014
Dendritic cells (DCs) secrete IL-1β in response to TLR8 recognition of synthetic purine, R848, followed by NLRP3 inflammasome activation with nigericin, therefore, IL-1β can be used to measure NLRP3 inflammasome activity. Intracellular cytokine staining, immunoblotting, and ELISA are used to accurately measure NLRP3 inflammasome priming and activation via IL-1β expression.
03:35
Flow Cytometry-Based Analysis of Dendritic Cell Activation Using Immune Complexes
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2025
This video demonstrates a protocol for assessing the activation of dendritic cells using immunoglobulin G (IgG)-coated tumor cells. Dendritic cells internalize the IgG-coated tumor cells, process the tumor antigens, and present them on the surface through MHC-II molecules, along with the co-expression of the costimulatory molecule CD86. These dendritic cells then undergo MHC-II and CD86-targeted immunostaining and flow cytometry analysis to identify their activation state.
07:58
Quantitative Imaging of Lineage-specific Toll-like Receptor-mediated Signaling in Monocytes and Dendritic Cells from Small Samples of Human Blood
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Cited by 12 •
2012
We describe use of ImageStream technology (www.amnis.com), which combines quantitative flow cytometry with simultaneous high-resolution digital imaging, to quantify cellular mechanisms of primary immune cells from well-defined patient cohorts. Our studies provide a blueprint for translational investigations to quantify lineage specific cellular responses in small samples from subject cohorts.
FAQs
These markers provide complementary evidence rather than a single identity label. CD14 and CD16 help characterize monocyte populations, while HLA-DR and CD11c contribute information about dendritic-cell-related phenotypes. Examining their combined pattern helps distinguish closely related populations and supports comparison of circulating monocytes, dendritic cells, and monocyte-derived dendritic cells within the same analysis.
Monocyte differentiation is interpreted as a change in cellular state and function, not only as a change in marker expression. Inflammatory signals can shape that state, so analysis should connect surface-marker patterns with cytokine production and antigen-presenting capacity. This combined view helps investigators relate immune-cell changes to the character of an ongoing response.
Flow-cytometric phenotype alone may not explain what a population does. Morphology supplies structural information, cytokine measurements indicate secretory activity, and antigen-presenting assays address the ability to support immune recognition. Comparing these readouts can reveal whether cells with related marker profiles also share functional behavior, which is especially important when studying immune dysregulation.
An analysis generally begins with cell isolation, followed by characterization with flow cytometry. Researchers assess CD14, CD16, HLA-DR, and CD11c to examine related cell populations, then add morphology, cytokine production, or antigen-presenting capacity when functional context is needed. Keeping phenotypic and functional measurements together produces a more informative assessment than relying on one readout.
In infection research, the measurements can connect microbial exposure with changes in monocyte differentiation, dendritic-cell antigen capture and presentation, and inflammatory state. Marker patterns show which populations are present, while cytokine and antigen-presenting readouts indicate how those populations may participate in the response. This supports investigation of host-pathogen interactions and infection-associated immune dysregulation.
Because the approach measures both cellular identity and immune function, it can be applied to vaccine-response studies and to investigations of diagnostic or therapeutic strategies. Researchers can compare populations and functional outputs across conditions, asking whether altered marker profiles, cytokine production, or antigen-presenting capacity accompany a particular immune state. The same framework links laboratory measurements with clinically relevant questions.