Related Experiment Video
Updated: May 21, 2026

Flow Cytometric Analysis for Identification of the Innate and Adaptive Immune Cells of Murine Lung
Published on: November 16, 2021
Distinct macrophage subpopulations characterize acute infection and chronic inflammatory lung disease
Mubing Duan1, Waichu C Li, Ross Vlahos
1Ludwig Institute for Cancer Research, Melbourne, Victoria, Australia.
Abstract:
Although great progress has been made in delineating lung dendritic cell and lymphocyte subpopulations, similar advances in lung macrophages (MΦs) have been hampered by their intrinsic autofluorescence, cell plasticity, and the complexities of monocyte-MΦ compartmentalization. Using spectral scanning, we define alveolar MΦ autofluorescence characteristics, which has allowed us to develop an alternative flow cytometry method. Using this methodology, we show that mouse lung MΦs form distinct subpopulations during acute inflammation after challenge with LPS or influenza virus, and in chronic inflammatory lung disease consequent to SHIP-1 deletion. These subpopulations are distinguished by differential Mac-1 and CD11c integrin expression rather than classical M1 or M2 markers, and display differential gene signatures ex vivo. Whereas the resolution of acute inflammation is characterized by restoration to a homogenous population of CD11c(high)Mac-1(neg/low) MΦs reflective of lung homeostasis, chronic inflammatory lung disease associated with SHIP-1 deficiency is accompanied by an additional subpopulation of CD11c(high)Mac-1(pos) MΦs that tracks with lung disease in susceptible genetic background SHIP-1(-/-) animals and disease induction in chimeric mice. These findings may help better understand the roles of MΦ subpopulations in lung homeostasis and disease.
Insights
Researchers developed a new flow cytometry method to identify distinct lung macrophage subpopulations in mice. This method distinguishes macrophages based on Mac-1 and CD11c expression, aiding understanding of lung inflammation and homeostasis.
Area of Science:
- Immunology
- Cell Biology
- Pulmonary Medicine
Background:
- Lung macrophage (MΦ) research is complex due to autofluorescence, plasticity, and monocyte-MΦ compartmentalization.
- Previous methods struggled to accurately delineate lung MΦ subpopulations.
Purpose of the Study:
- To develop an alternative flow cytometry method for characterizing lung MΦ subpopulations.
- To investigate MΦ heterogeneity in acute and chronic lung inflammation models.
Main Methods:
- Utilized spectral scanning to define alveolar MΦ autofluorescence.
- Developed a novel flow cytometry approach based on autofluorescence characteristics.
- Analyzed MΦ subpopulations in LPS/influenza-induced acute inflammation and SHIP-1 deletion-induced chronic lung disease models.
Main Results:
- Identified distinct mouse lung MΦ subpopulations characterized by Mac-1 and CD11c integrin expression, not M1/M2 markers.
- Acute inflammation resolution restored a homogenous CD11c(high)Mac-1(neg/low) MΦ population.
- Chronic lung disease showed an additional CD11c(high)Mac-1(pos) MΦ subpopulation linked to SHIP-1 deficiency.
Conclusions:
- The novel flow cytometry method effectively distinguishes lung MΦ subpopulations.
- Mac-1 and CD11c expression are key markers for defining MΦ heterogeneity in lung inflammation.
- Understanding these MΦ subpopulations is crucial for lung homeostasis and disease pathogenesis.
Related Concept Videos
Chronic Inflammation: Introduction
Immune Surveillance by NK Cells and Phagocytes
Natural Killer Cells: The Fast Responders
NK cells are large granular lymphocytes found in the blood and lymphatic system. These...
Chronic Obstructive Pulmonary Disease III: Chronic Bronchitis Features
Acute Inflammation I: Inflammatory Response
Cells of the Innate Immune Response
Phagocytes
Phagocytes police the peripheral tissues by removing cellular debris and responding to the invasion of foreign substances or pathogens. Many phagocytes attack and remove microorganisms even before lymphocytes detect them. The human body has two general...
Acute Inflammation II: Cellular Phase
