Human Cardiac Microvascular Endothelial Cells (HCMEC)

Overview

Human Cardiac Microvascular Endothelial Cells (HCMEC) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Human Endothelial Cells derived from Heart (Cardiac Microvascular) within the Cardiovascular system.

The endothelial cells modulate vascular tone by release of several endothelium-derived contracting and relaxing factors, by regulation and degradation of vasoactive peptides, and by enzymes located on the Cardiac microvascular endothelial cells (HCMEC) play important roles in myocardial function. HCMEC regulate vascular tone by releasing and degrading endothelium-derived vasoactive factors, and modulating the local levels of vasoconstrictors and vasodilators through their enzymatic activities. Many of these substances can also modify myocardial contractile behavior [1] . Furthermore, microvasculature has been shown to participate in the regulation of leukocyte recruitment, inflammation, and angiogenesis. They are also capable of trans-differentiating into myofibroblasts, suggesting a role in aberrant accumulation of matrix and fibrotic disorders [2] . HCMEC cultures provide an invaluable tool for understanding HCMEC physiological and pathophysiological relevance in cardiac function and disease. iXCells Biotechnologies provides high quality HCMEC, which are isolated from human heart and cryopreserved at P2, with >0.5 million cells in each vial. These HCMEC express vWF/Factor VIII, CD31 (PECAM) (Figure 1), and Dil-Ac-LDL by uptake. They are negative for HIV-1, HBV, HCV, mycoplasma, bacteria, yeast, and fungi and can further expand for in Endothelial Cell Growth Media under the condition suggested by iXCells Biotechnologies. Figure 1. (A) Immunofluorescence staining for vWF (red) and CD31 (green). (B) Flow analysis showed that 85.09% of the cells are positive for CD31.

Key elements and design rationale

• Cell identity: Endothelial Cells (Primary Cells)
• Source context: Heart; Cardiac Microvascular; Cardiovascular
• 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

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.
• Use of flow/shear and barrier-focused assays to study vascular inflammation, permeability, and angiogenic remodeling.

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.

SKU:BHC18500029

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