Cd45 Test
Cd45 Test - Related Videos
16:55
Isolation & Characterization of Hoechstlow CD45negative Mouse Lung Mesenchymal Stem Cells
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Cited by 13 •
2011
In this article we demonstrate the isolation of murine resident lung mesenchymal stem cells (lung MSC), their expansion, characterization and analysis of immunomodulatory properties.
08:59
Identification Of Erythromyeloid Progenitors And Their Progeny In The Mouse Embryo By Flow Cytometry
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Cited by 13 •
2017
While infiltrating macrophages are continuously recruited to adult tissues from circulating precursors, resident macrophages seed their tissue during development, where they are maintained without further input from progenitors. The progenitors for resident macrophages were recently identified. Here, we present methods for the genetic fate mapping of the resident macrophage progenitors.
11:59
Detection of Residual Donor Erythroid Progenitor Cells after Hematopoietic Stem Cell Transplantation for Patients with Hemoglobinopathies
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Cited by 2 •
2017
Quantification of donor-derived cells is required to monitor engraftment after stem cell transplantation in patients with hemoglobinopathies. A combination of flow cytometry-based cell sorting, colony formation assay, and subsequent analysis of short tandem repeats may be used to assess the proliferation and differentiation of progenitors in the erythroid compartment.
03:43
Neuronal Enrichment of Dorsal Root Ganglia by Immunopanning
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2025
This video demonstrates a protocol for enriching neuronal cultures from dorsal root ganglia by immunopanning, thereby improving their purity and utility for neurological research.
04:38
Analysis of Immune Cells in Mouse Nervous Tissues Using Flow Cytometry
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2025
Source: Hidmark, A. S., et al. Analysis of Immune Cells in Single Sciatic Nerves and Dorsal Root Ganglion from a Single Mouse Using Flow Cytometry. J. Vis. Exp. (2017). This video demonstrates the use of flow cytometry to analyze immune cells in mouse sciatic nerves and dorsal root ganglia (DRGs). The process involves labeling immune cells with fluorophore- and biotin-tagged antibodies, stabilizing and permeabilizing the cells, and using fluorescent markers to detect cell-surface and nuclear...
FAQs
Fluorescently labeled antibodies provide the CD45-specific signal, while light-scattering measurements add information about each particle’s physical characteristics. Flow cytometry combines these signals so investigators can identify leukocyte populations and examine their fluorescence and scattering patterns together. This multi-signal approach supports more informative immune profiling than either signal alone.
CD45 detection supplies a marker for most nucleated hematopoietic cells, whereas nonhematopoietic material generally lacks that leukocyte-associated signal. In a mixed sample, comparing antibody fluorescence with light-scattering behavior helps separate white blood cells from other material. This distinction improves interpretation of cellular composition and supports assessment of sample quality.
Changes in the abundance or phenotype of CD45-detected leukocyte populations can provide evidence of altered immune composition. During infection or another immune response, investigators can use these shifts to characterize how white-cell populations change rather than relying only on total sample appearance. The resulting profile supports studies of host responses to pathogens.
A basic workflow begins with a sample containing cells, exposure to fluorescently labeled antibodies that bind CD45, and flow-cytometric measurement of fluorescence and light scattering. Investigators then use the combined signals to identify and characterize leukocyte populations. The procedure therefore links molecular recognition by the antibody with population-level cellular analysis.
In leukemia classification, CD45 testing contributes an immunological dimension to cell characterization. Because the assay detects a leukocyte-associated membrane protein and can be combined with light-scattering and fluorescence information, it helps investigators evaluate cellular populations within a sample. Its value lies in supporting classification alongside broader flow-cytometric characterization.
For sample quality assessment, the assay can indicate whether the analyzed material contains the expected leukocyte signal and how cellular populations are represented. In host-pathogen research, the same measurements allow investigators to examine changes in leukocyte abundance or phenotype during immune responses. Thus, one assay connects sample evaluation with infection-focused immune profiling.