Cd19 Cd27 Cd38
Cd19 Cd27 Cd38 - Related Videos
03:01
Flow Cytometry-Based Cell Sorting for Different Circulatory B Cell Populations
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2025
In this video, we describe a protocol for the flow cytometry-based sorting of naïve B cell, memory B cell, and plasmablast plasma cell subpopulations from human peripheral blood B cells. The different B cell subpopulations can be distinguished based on fluorophore-based antibody binding to the CD19, CD27, and CD38 receptors expressed on the B cell surfaces, followed by cell sorting.
09:41
Imaging CD19+ B Cells in an Experimental Autoimmune Encephalomyelitis Mouse Model using Positron Emission Tomography
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Cited by 1 •
2023
This paper details methodology for radiolabeling a human-specific anti-CD19 monoclonal antibody and how to use it to quantify B cells in the central nervous system and peripheral tissues of a mouse model of multiple sclerosis using in vivo PET imaging, ex vivo gamma counting, and autoradiography approaches.
12:16
A Syngeneic Mouse B-Cell Lymphoma Model for Pre-Clinical Evaluation of CD19 CAR T Cells
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Cited by 17 •
2018
Here, we present a protocol for the production and pre-clinical testing of murine CD19 CAR T cells by retroviral transduction and utilization as a therapy against established syngeneic A20 B-cell lymphoma in BALB/c mice with or without lymphodepleting pre-conditioning.
08:26
The Isolation, Differentiation, and Quantification of Human Antibody-secreting B Cells from Blood: ELISpot as a Functional Readout of Humoral Immunity
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Cited by 10 •
2016
Human peripheral blood is commonly used for the assessment of the humoral immune response. Here, the methods for isolating human B cells from peripheral blood, differentiating human B cells into antibody (Ab)-secreting B cells (ASCs) in culture, and enumerating the total IgM- and IgG-ASCs via an ELISpot assay are described.
14:04
Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
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Cited by 11 •
2016
Neutrophils are the most abundant type of white blood cells. The isolation of neutrophils from human blood by density gradient separation method and the differentiation of human promyelocytic (HL60) cells along the granulocytic pathway are described here; to test their role on sensitivity of lymphoma cells to anti-lymphoma agents.
FAQs
Interpretation depends on the combined expression pattern rather than on any single marker. CD19 provides lineage context, while CD27 and CD38 indicate changes associated with antigen experience, activation, differentiation, and antibody-secreting cell development. Comparing these patterns helps researchers distinguish functional B-cell states and examine how populations shift during adaptive immune responses.
CD27 and CD38 provide complementary information about B-cell state. CD27 helps identify memory-associated populations, whereas CD38 contributes to recognizing plasmablast-like or antibody-secreting cell development. Evaluating both markers together can therefore separate B cells at different stages of functional differentiation, rather than treating all CD19-positive cells as one uniform population.
The profile can change as B cells encounter antigen, become activated, develop into memory populations, or progress toward antibody-secreting cells. These transitions alter the relative representation of functional subsets detected in a sample. In immunology and infection research, such shifts can reveal how an adaptive immune response develops or becomes altered.
Multicolor flow cytometry measures CD19, CD27, and CD38 simultaneously on individual cells, allowing their expression patterns to be analyzed together. This combined measurement resolves B-cell subsets more effectively than examining markers in isolation. Researchers can then compare the distribution of lineage, memory-associated, and plasmablast-like populations across blood or tissue samples.
The study begins with a blood or tissue sample, followed by simultaneous measurement of CD19, CD27, and CD38 using multicolor flow cytometry. The resulting expression patterns are used to distinguish B-cell populations and functional states. Comparing these populations across samples can support analysis of activation, antigen experience, differentiation, or antibody-secreting cell development.
This marker panel is useful when researchers need to examine infection-induced changes in B-cell populations or adaptive immune responses. It can help characterize shifts toward memory or plasmablast-like states and support comparisons involving vaccine responses. The same approach also applies to studies of immune deficiencies and disease-associated alterations in B-cell maturation and function.
The combination can show how the relative distribution of B-cell subsets changes between samples or experimental conditions. Researchers may use these patterns to characterize memory-associated populations, plasmablast-like populations, and broader alterations in B-cell maturation. Such outcomes provide cellular context for evaluating infection-induced immunity, vaccine responses, immune deficiencies, or disease-associated immune changes.