Ly6c Ly6g
Ly6c Ly6g - Related Videos
04:34
Measuring Microglial Uptake of Intravitreally-Delivered Fluorescent Particles Using Flow Cytometry
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2025
This video demonstrates flow cytometry for measuring microglial uptake of fluorescent bioparticles after intravitreal delivery in a mouse eye. Flow cytometry detects live cells expressing CD11b and distinguishes phagocytic microglia cells exhibiting green fluorescence from other myeloid cells, including Ly6C-expressing monocytes and Ly6G-expressing neutrophils.
09:15
Reliable and High Efficiency Extraction of Kidney Immune Cells
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Cited by 12 •
2016
Techniques that are reliable and efficient for the isolation of kidney immune cells are needed for downstream applications. This requires surface antibody labeling of a small number of kidney immune cells. Herein, we describe a concise method for isolation of kidney immune cells that seemingly achieves this goal.
04:21
Generating Anti-Angiogenic Tumor-Associated Neutrophils
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2025
This video demonstrates an assay to generate anti-angiogenic tumor-associated neutrophils (TANs). Upon taking a murine melanoma tumor containing pro-angiogenic TANs, the single cells are isolated using fluorescence-activated cell sorting (FACS) and treated with an inhibitor of nicotinamide phosphoribosyl transferase (NAMPT) to reduce the capacity to stimulate angiogenesis.
10:10
In Vivo Imaging Uncovers the Migratory Behavior of Leukocytes within the Joints
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2025
In vivo imaging of the joints is a valuable technique for uncovering the migratory behavior of leukocytes and molecular dynamics within the inflamed joints. Here, we present a detailed protocol for in vivo imaging of the joints using a murine model of type II collagen-induced arthritis (CIA).
06:38
Simultaneous 3D Analysis of Cardiac Damage and Immune Response in Reperfused Acute Myocardial Infarction Using Light Sheet Fluorescence Microscopy
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2025
Three-dimensional (3D) reconstruction of cardiac damage in reperfused acute myocardial infarction (repAMI) enables faithful quantification and co-localization of associated disease-affecting patterns. Here, an automatable light sheet-guided imaging approach is provided for contemporaneous measurement of cardiac damage, area at risk, and immune cell response.
FAQs
Ly6G commonly enriches for neutrophils, whereas Ly6C helps characterize inflammatory monocytes, but marker patterns can overlap among myeloid subsets. Expression also varies with cellular state. Consequently, researchers should interpret staining alongside the broader antibody panel and experimental context instead of assigning identity from one marker alone.
Cellular activation or other state changes can alter Ly6C and Ly6G expression, influencing apparent population frequencies or marker intensity. A difference between experimental groups may therefore reflect altered phenotype as well as changes in cell recruitment. Consistent controls and careful interpretation are important when comparing infection, inflammation, or tissue-injury samples.
Marker behavior and antibody performance require validation in the species being studied, particularly because these markers are widely used in mouse immunology. Panel design should also account for overlapping myeloid phenotypes and changing expression. These precautions reduce misclassification and improve confidence when distinguishing leukocyte populations across experimental conditions.
Researchers evaluate the two markers together rather than relying on either signal independently. Differential Ly6C and Ly6G labeling helps distinguish neutrophil-enriched populations from inflammatory-monocyte and related myeloid populations, while the remaining panel provides additional context. This combined interpretation is especially useful when subset patterns overlap or shift during an immune response.
A typical workflow applies antibodies against Ly6C and Ly6G to cells or tissue samples, followed by detection with flow cytometry or immunofluorescence. Researchers may also use the labeling strategy to support cell isolation. The selected method depends on whether the goal is population measurement, spatial visualization, or recovery of defined leukocyte groups.
These markers help researchers follow leukocyte recruitment, activation, and depletion during infection, inflammation, and tissue injury. Repeated analysis can reveal how myeloid populations change across experimental conditions, while tissue imaging can show their distribution. In infection research, the markers therefore connect population-level measurements with local immune responses.