Mouse Mesenchymal Stem Cells-Bone Marrow (MMSC-bm)

Overview

Mouse Mesenchymal Stem Cells-Bone Marrow (MMSC-bm) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Mouse Mesenchymal Stem Cells derived from Bone Marrow (Bone Marrow) within the Blood system.

Mesenchymal stem cells (MSC) derived from bone marrow are a well-characterized population of adult stem cells. MSC have the capability for renewal and differentiation into various lineages of mature cells that produce fat, cartilage, bone,tendons, and muscle. These properties, in combination with their developmental plasticity, have generated tremendous interest in regenerative medicine to replace damaged tissues. These findings have spurred the development of MSC-basedtherapies for treating wide range of non-skeletal diseases 1,2 . iXCells Biotechnologies offers mBM-MSC isolated from mouse bone marrow. Each vialcontains >0.5 million cells. These cells are expanded in Mesenchymal Stem Cell Medium (Cat# MD-0037) and then cryopreserved at passage 2. iXCells mBM-MSC characterized by immunofluorescence and flow cytometry arestrongly positive for MSC marker CD29 [Figure 1]. These cells can further be differentiated into adipocytes using Adipocyte Differentiation Medium (Cat# MD-0005) and into osteoblastsusing Osteogenic Differentiation Medium (Cat# MD-0006) [Figure 2 and Figure 3]. mBM-MSC are negative for mycoplasma, bacteria, yeast, and fungi and can be expanded for no more than 3 passages in iXCells Mesenchymal Stem Cell Medium. Figure 1. (A) Phase contrast image of MMSC-bm (B) Immunofluorescence staining with antibody against CD29. (C) Flow cytometric analysis shows >90% CD29 positive cells.

Key elements and design rationale

• Cell identity: Mesenchymal Stem Cells (Primary Cells)
• Source context: Bone Marrow; Bone Marrow; 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

Stem and progenitor cell models are widely used to study differentiation programs, lineage commitment, and regenerative responses under controlled culture perturbations.

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
• Induce lineage differentiation and track marker changes over a maturation time-course
• Quantify functional responses to defined stimuli relevant to the model system
• Compare baseline phenotype across donors/conditions using gene expression profiling
• Evaluate multipotency using lineage-specific staining and gene expression panels

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:BHC18500096

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