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Overview
Mouse Pulmonary Endothelial Cells (MPEC) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Mouse Endothelial Cells derived from Lung (Pulmonary) within the Respiratory system.
Mouse pulmonary endothelial cells are widely used in vascular biology and lung cell biology studies such as pulmonary inflammation (Biotech), angiogenesis, vessel permeability, leukocyte/EC interaction, nitric oxide production, and mechanotransduction [1] . Endothelial dysfunction is the common molecular basis of multiple human diseases, such as atherosclerosis, diabetes, hypertension, and acute lung injury. Primary culture of ECs is an important tool to dissect the role of endothelial genes in endothelial dysfunction-associated disorders [2] . Mouse pulmonary endothelial cells has been successfully used in phenotypic, and genetic studies characterizing endothelial genes in human diseases [3] . iXCells Biotechnologies provides high quality mouse pulmonary endothelial cells (MPEC), which are isolated from peripheral tissues of pulmonary lobes of C57BL/6 or CD1 mouse lung. MPECs are cryopreserved at passage 2 and delivered frozen. Each vial contains >0.5million cells. MPEC are characterized by immunofluorescence with antibody specific to Tie-2. MPECs are negative for mycoplasma, bacteria, yeast, and fungi. MPECs are guaranteed to further expand no more than 2 additional passages in Endothelial Cell Growth Media under the condition suggested by iXCells Biotechnologies. Figure 1. Mouse pulmonary endothelial cells (MPEC). (A) Phase contrast image of MPEC. (B) Immunofluorescence staining with antibody against Tie-2.
Key elements and design rationale
- Cell identity: Endothelial Cells (Primary Cells)
- Source context: Lung; Pulmonary; Respiratory
- 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
Endothelial cells form the inner lining of blood vessels and regulate barrier function, leukocyte trafficking, coagulation balance, and angiogenic remodeling in response to biomechanical and inflammatory cues.
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
- Measure barrier function and inflammatory activation in endothelial monolayers
- Quantify functional responses to defined stimuli relevant to the model system
- Compare baseline phenotype across donors/conditions using gene expression profiling
- Assess adhesion molecule expression and leukocyte interaction under inflammatory cues
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.
