Human Adipose Derived Stem Cells (ADSCs, Obesity)

Overview

Human Adipose Derived Stem Cells (ADSCs, Obesity) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Human Mesenchymal Stem Cells derived from Adipose (Adipose Derived Stem) associated with Obesity within the Integumentary system.

Human Adipose-Derived Stem cells (ADSCs) are isolated from human lipoaspirate tissue collected during elective surgical liposuction procedures. ADSCs are available for normal donors, patients with Type 1 Diabetes , Type 2 Diabetes , or Obesity (BMI>30). It has been shown that the ADSCs demonstrate very similar phenotypic and functional characteristics to that of bone marrow-derived mesenchymal stem cells. Thousands of articles have been published on ADSCs using a variety of terminology, including preadipocytes, adipose-derived mesenchymal stem cells (AD-MSCs), adipose MSCs (AMSCs), adipose-derived adult stem (ADAS) cells, and adipose stromal/stem cells (ASCs). Normal human ADSCs have been reported to differentiate into many different lineages including chondrogenic, osteogenic, adipogenic and neural. And have been applied in studies include stem cell differentiation, regenerative medicine [1] , and cell therapy [2] . iXCells Biotechnologies offers normal human adipose-derived stem cells (hADSC) from adipose tissues from single donor, and cryopreserved at passage 1. hADSC are positive for CD29, CD44, CD73, CD90, CD105, and negative for CD14, CD31, CD45 ( Figure 1 ). hADSC can be in vitro differentiated into adipocytes and osteoblasts ( Figure 2 and 3 ) using Adipocyte Differentiation Medium (Cat# MD-0005) and Osteogenic Differentiation Medium (Cat# MD-0006) , separately. hADSC can be further expanded for 3-4 passages using Adipose-Derived Stem CellGrowth Medium (Cat# MD-0003) . These cells are negative for HIV-1, HBV, HCV, mycoplasma, bacteria, yeast, and fungi. Figure 1. Immunostaining of cell surface markers of human ADSC.

Key elements and design rationale

• Cell identity: Mesenchymal Stem Cells (Primary Cells)
• Source context: Adipose; Adipose Derived Stem; Integumentary
• Donor background: Age: Adult; Disease/condition: Obesity
• Biosafety level: BSL-2 (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.

SKU:BHC18500075

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