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Overview
Mouse Adipose-Derived Stem Cells-brown fat (MADSC-bf) 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 Adipose (Adipose-Derived Stem -brown fat) within the Musculoskeletal system.
Adipose-derived stem cells (ADSC) are multipotent mesenchymal stem cells (MSC) that are capable of differentiating into adipocytes, osteocytes, chondrocytes etc. in vitro . ADSC have been applied in studies including stem cell differentiation, regenerative medicine [1] , cell therapy, tissue engineering and creation of iPS cell lines. iXCells Biotechnologies provides high quality Mouse Adipose-Derived Stem Cells, also knowns as preadipocytes, which are isolated from C57BL/6 mouse inguinal white fat tissue or interscapular brown fat tissue . These cells are cryopreserved at P1, with >0.5 million cells in each vial and can further expand for 3-4 population doublings in Adipose-derived Stem Cell Growth Medium ( Cat# MD-0003 ) under the condition suggested by iXCells Biotechnologies. In vitro, mADSC can be differentiated into adipocytes and osteoblasts (Figure 1 and 2) using Adipocyte Differentiation Medium ( Cat# MD-0005 ) and Osteogenic Differentiation Medium ( Cat# MD-0006 ), separately. These mADSC can be further expanded for no more than 3 passages using Adipose-derived Stem Cell Growth Medium ( Cat# MD-0003 ). These cells are negative for HIV-1, HBV, HCV, mycoplasma, bacteria, yeast, and fungi. Figure 1. (A)Mouse ADSCs (phase contrast). (B) Adipocyte induction (Day 10 post adipogenic induction, phase contrast). (C) Adipocyte induction (Day 10 post adipogenic induction, Oil Red O staining).
Key elements and design rationale
- Cell identity: Mesenchymal Stem Cells (Primary Cells)
- Source context: Adipose; Adipose-Derived Stem -brown fat; Musculoskeletal
- 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.
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.
Customization & Add-ons: Can't find the cell line you need—or require a custom cell-based solution for your project? We can help you source the best match or support custom cell line services for diverse research needs, including cell line sourcing and selection (species, tissue, and disease model matching), stable cell line engineering (overexpression, knockdown, or knockout via CRISPR/Cas9, shRNA, or sgRNA), reporter gene integration (GFP, RFP, luciferase, and other fluorescent or bioluminescent constructs), genome editing and knockin (point mutations, tagged endogenous proteins, conditional alleles), inducible expression systems (Tet-On/Off and other regulatable constructs), drug resistance marker selection (puromycin, G418, hygromycin, and others), custom growth and media optimisation for specific assay requirements, scale-up production for high-throughput screening campaigns, and authentication and QC services (STR profiling, mycoplasma testing, viability assessment). Click Talk to a Scientist to submit a request, email us at support@biohippo.com, or explore our Research Services for additional support—our team will follow up with feasibility details and next steps.
