Mouse Bone Marrow Derived Macrophage (mBMDM)

Overview

Mouse Bone Marrow Derived Macrophage (mBMDM) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Mouse Immune Cells AND Hematopoietic Cells derived from Bone Marrow (Bone Marrow Derived Macrophage) within the Blood system.

Macrophages are a type of white blood cell differentiated from circulating bone marrow-derived monocytes. Macrophages are responsible for detecting, engulfing and digesting cellular debris, apoptotic cells, and invading pathogens in a process called phagocytosis. Macrophages can be identified by several specific cell surface proteins including CD11b, CD14, F4/80 (mice)/EMR1 (human), MAC-1/MAC-3, and CD68 by immunohistochemistry or flow cytometry analysis [1] . T Bone marrow-derived macrophages are suitable for numerous applications including phagocytosis, gene expression profiling, and Morphological examination of cytospins using histological stains (e.g., May-Grünwald-Giemsa staining), etc. [2] . iXCells Biotechnologies provides Mouse Bone Marrow Derived Macrophage (mBMDM), which were differentiated in the presence of M-CSF using the bone marrow cells isolated from adult C57BL/6 mice (Figure 1). mBMDM are harvested at P0 and delivered freshly or frozen. For frozen cells, each vial contains ≥ 5 million cells in 1 mL volume. mBMDMs are characterized by flow cytometry analysis with >97% CD11b+ purity (Figure 2). mBMDMs are negative for mycoplasma, bacteria, yeast, and fungi. It is recommended to use Macrophage Culture Medium (Cat # MD-0097) for in vitro culturing of mBMDM. However, mBMDMs are not recommended for long-term cultures or further expansion. Figure 1. Mouse Bone Marrow Derived Macrophage (mBMDM). (A) Phase contrast images. (B) The purity of the mBMDM was measured using CD11b+ antibody by flow cytometry analysis.

Key elements and design rationale

• Cell identity: Immune Cells AND Hematopoietic Cells (Primary Cells)
• Source context: Bone Marrow; Bone Marrow Derived Macrophage; Blood
• Donor background: Age: Adult
• Biosafety level: BSL-1 (follow your institution’s biosafety program and local regulations)

Product-specific elements (such as tissue source, donor background, and cell classification) help frame how results should be interpreted across assays and experimental conditions.

Biological background

Cells originating from the Blood system are commonly studied to understand tissue-specific physiology, signaling, and responses to perturbations in controlled in vitro settings.

Across primary and specialty cell models, experimental outcomes can be influenced by donor heterogeneity, passage history, confluence, and media composition. For interpretation, it is common to validate key markers or functional phenotypes in the user’s assay context and to document culture variables consistently.

Research relevance and current trends

• Increasing use of primary and specialty cells to improve translational relevance for target biology and phenotypic screening.
• Adoption of 3D culture formats and co-culture systems to better capture tissue microenvironments and cell–cell interactions.
• Integration of functional readouts with single-cell and multi-omics profiling to connect phenotype with molecular state.
• Expansion of high-dimensional immune phenotyping and perturbation screens to map activation states and functional programs.

Common research applications

• Profile identity markers by flow cytometry or immunostaining in cultured cells
• Stimulate immune cells and quantify activation markers and cytokine release
• Quantify functional responses to defined stimuli relevant to the model system
• Compare baseline phenotype across donors/conditions using gene expression profiling
• Perform immune profiling by multiparameter flow cytometry to resolve major subsets

Interpretation typically focuses on how a perturbation (e.g., cytokine exposure, metabolic stress, genetic manipulation, or compound treatment) shifts marker profiles or functional readouts relative to an appropriate control matched for donor and culture variables.

Notes for experimental interpretation

• Donor-to-donor heterogeneity can influence baseline phenotype and treatment response; include biological replicates when feasible.
• Passage number, confluence, and media composition can shift gene expression and functional readouts; track and report these variables consistently.
• Contamination control (including routine mycoplasma monitoring) supports reproducibility in downstream assays.
• Use appropriate negative/positive controls for the readout (e.g., unstimulated controls, pathway agonists/antagonists) to contextualize observed changes.

SKU:BHC18500091

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