Pbmc Analysis
Pbmc Analysis - Related Videos
02:26
A Technique to Generate a Human PBMC-Engrafted Humanized Xenograft Mouse Model
0 Views •
2025
This video demonstrates an assay to generate a humanized xenograft mouse model. An immunocompromised mouse is injected with cyclophosphamide to cause immune cell depletion. Patient-derived tumor cells mixed with human peripheral blood mononuclear cells (PBMCs) in a hydrogel are subcutaneously injected into the mouse, forming a tumor with infiltrating T cells.
11:40
A Co-culture Method to Investigate the Crosstalk Between X-ray Irradiated Caco-2 Cells and PBMC
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Cited by 7 •
2018
We present a protocol to investigate the crosstalk between X-ray-irradiated Caco-2 and peripheral blood mononuclear cells (PBMC). The protocol starts with Caco-2 irradiation and set-up of the co-culture with PBMC; subsequently, trans-epithelial electrical resistance is measured regularly over 48 h and western blot performed in both Caco-2 and PBMC.
08:17
A Human Peripheral Blood Mononuclear Cell (PBMC) Engrafted Humanized Xenograft Model for Translational Immuno-oncology (I-O) Research
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Cited by 6 •
2019
We describe a human peripheral blood mononuclear cell (PBMC) — based humanized xenograft mouse model for translational immuno-oncology research. This protocol could serve as a general guideline for establishing and characterizing similar models for I-O therapy assessment.
08:39
Human T Lymphocyte Isolation, Culture and Analysis of Migration In Vitro
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Cited by 27 •
2010
T lymphocyte migration occurs during homing to lymphoid organs, exit from the vasculature, and entering into peripheral tissues. Here, we describe a protocol that can be used to analyze T lymphocyte migration in vitro.
09:00
Analysis of Lymphocyte Extravasation Using an In Vitro Model of the Human Blood-brain Barrier
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Cited by 6 •
2017
Here, we describe a human blood-brain barrier model enabling to investigate lymphocyte transmigration into the central nervous system in vitro.
FAQs
Density-gradient centrifugation separates mononuclear cells from erythrocytes and granulocytes according to their behavior in the gradient. This enrichment reduces interference from other blood components, allowing downstream assays to examine immune populations more directly. The quality of that separation therefore affects how confidently researchers interpret cellular composition and immune responses.
Different readouts answer different immunological questions. Flow cytometry can identify surface markers and activation states, while cell culture can assess cytokine production and molecular assays can examine gene expression. Together, these measurements connect the presence of particular immune-cell populations with their functional or transcriptional responses, rather than relying on cell counts alone.
Repeated sampling allows investigators to compare immune measurements collected at different times. In this way, PBMC analysis can track disease progression, responses following vaccination, effects of treatment, or immune recovery. The longitudinal design is especially useful when the goal is to distinguish a changing immune state from a single time-point observation.
After blood collection, researchers typically use density-gradient centrifugation to obtain the mononuclear-cell fraction, then select a downstream assay based on the research question. Flow cytometry assesses surface markers and activation states, cell culture examines cytokine production, and molecular assays evaluate gene expression. This workflow links sample preparation to a specific immune readout.
The desired outcome determines the most informative readout. Surface-marker or activation-state questions favor flow cytometry; cytokine-production questions favor cell culture; and gene-expression questions call for molecular assays. Matching the assay to the biological feature under study helps prevent a technique from being used as a substitute for a measurement it was not designed to provide.
In infection research, PBMC analysis can characterize host immune responses to pathogens and help evaluate how those responses change after vaccination or treatment. Investigators can also use it to study immune dysregulation and immune recovery. Because cellular composition, cytokine production, activation states, and gene expression are measurable, the approach supports complementary assessments of immune status.