Cd11b Cd45
Cd11b Cd45 - Related Videos
07:54
Rapid and Refined CD11b Magnetic Isolation of Primary Microglia with Enhanced Purity and Versatility
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Cited by 22 •
2017
Here, we present a protocol to isolate microglia from postnatal mouse pups (day 1) for in vitro experimentation. This improvised method of isolation generates both high yield and purity, a significant advantage over alternate methods that allows broad range experimentation for the purposes of elucidating microglial biology.
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.
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...
12:14
Isolation and Flow Cytometric Analysis of Immune Cells from the Ischemic Mouse Brain
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Cited by 80 •
2016
Inflammation plays a central role in the pathogenesis of ischemic stroke. Increasing evidence suggests that it acts as a double-edged sword which exacerbates early brain injury, but also contributes to later repair. This protocol describes the isolation of immune cells from the ischemic brain and their subsequent flow cytometric phenotyping.
10:15
Rapid Depletion of Renal Macrophages Using Human CD59/Intermedilysin Cell Ablation Tool
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Cited by 1 •
2025
A protocol is reported here for the selective ablation of renal macrophages to study their regeneration using the human CD59/intermedilysin cell ablation tool. This method is also applicable for studying the function and regeneration of the other cell populations in the kidney, liver, and fatty tissue.
FAQs
Co-expression patterns add information that either marker provides alone. CD45 identifies cells within the hematopoietic or leukocyte compartment, while CD11b highlights cells associated with myeloid populations and related leukocyte subsets. Examining both signals helps researchers distinguish marker-defined groups and compare how their relative abundance changes across infection, inflammation, or tissue injury.
In mixed samples, CD45 staining provides a way to separate leukocyte-associated measurements from signals arising in most nonimmune cells. Analysts can then examine CD11b within the CD45-positive compartment, reducing ambiguity when estimating myeloid-cell accumulation or leukocyte recruitment. This sequential interpretation makes co-expression data more biologically focused.
CD11b contributes functional context rather than serving only as a label. As an integrin involved in adhesion and migration, its presence connects marker-defined populations with processes that can alter where leukocytes are found. Consequently, CD11b and CD45 measurements can help relate immune-cell distribution to recruitment during infection, inflammation, or tissue injury.
Antibody staining provides the detection step, after which flow cytometry or tissue imaging can be used to examine the labeled cells. In flow cytometry, fluorescence intensity and co-expression patterns support population characterization; imaging applies the same marker information within tissue. The selected readout should match whether the study prioritizes cell profiling or tissue-associated patterns.
Tissue imaging is especially informative when the question concerns immune-cell distribution within an affected tissue rather than only the composition of a measured cell sample. CD11b and CD45 staining can show where marker-positive leukocytes are present in relation to tissue injury or inflammation. This adds spatial context to measurements obtained by flow cytometry.
Measuring these markers can provide evidence of changes in leukocyte recruitment, myeloid-cell accumulation, and immune responses. Comparisons between infection, inflammation, tissue injury, or experimental treatment conditions may show whether marker-defined populations increase, decrease, or shift in their co-expression patterns. These outcomes help connect cellular measurements with the biological condition under study.