Rat Mesenchymal Stem Cells - Bone Marrow (RMSC-bm)

Overview

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

Mesenchymal stem cells (MSC) are a well-characterized population of adult stem cells. They have the potential to develop into mature cells that produce fat, cartilage, bone, tendons, and muscle [1, 2]. The developmental plasticity of MSC has generated tremendous interest because of the potential use of mesenchymal stem cells in regenerative medicine to replace damaged tissues. MSC cultured without serum in the presence of transformation growth factors will differentiate into chondrocytes. In contrast, MSC cultured in serum with ascorbic acid and dexamethasone will differentiate into osteoblasts. With their renewal capability, MSC have the potential to be transplanted into an injured site or seeded on a biomimetic scaffold to generate appropriate tissue constructs. iXCells Biotechnologies provides high quality Rat Mesenchymal Stem Cells – Bone Marrow (RMSC-bm), which are isolated from adult rat bone marrow and cryopreserved at P1, with >0.5 million cells in each vial. RMSC-bm are positive for CD29, CD73, CD90, CD105, and negative for CD34, CD45. These cells are also characterized by lipid staining after differentiation. RMSC-bm are negative for HIV-1, HBV, HCV, mycoplasma, bacteria, yeast, and fungi and can further expand for 3-4 population Mesenchymal Stem Cell Medium (Cat# MD-0037) without losing their multipotent properties. Figure 1. Adipocyte differentiation from Rat MSC-bone marrow (oil red staining, Day 14 post adipogenic induction).

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:BHC18500112

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