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Human Aortic Endothelial Cells

Cat.No.: CSC-C4862L

Species: Human

Source: Aorta

Cell Type: Endothelial Cell

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Cat.No.
CSC-C4862L
Description
Human Aortic Endothelial Cells are isolated from human aorta.
Species
Human
Source
Aorta
Cell Type
Endothelial Cell
Disease
Normal
Quality Control
Human Aortic Endothelial Cells display typical cobblestone with large dark nuclei appearance under light microscopy. Cells are tested for expression of endothelial cell marker using antibody, CD31 or VE-Cadherin by immunofluorescence staining or FACS. All cells test negative for mycoplasma, bacteria, yeast, and fungi. HIV-1, hepatitis B and hepatitis C are not detected for all donors and/or cell lots. Cells can be expanded for 3-5 passages under the cell culture conditions specified by Creative Bioarray. Repeated freezing and thawing of cells is not recommended.
Storage and Shipping
Creative Bioarray ships frozen cells on dry ice. On receipt, immediately transfer frozen cells to liquid nitrogen (-180 °C) until ready for experimental use.
Never can cryopreserved cells be kept at -20 °C.
Citation Guidance
If you use this products in your scientific publication, it should be cited in the publication as: Creative Bioarray cat no. If your paper has been published, please click here to submit the PubMed ID of your paper to get a coupon.

Human aortic endothelial cells (HAECs) derive from the endothelial tissue of the human aorta, the largest artery in the body that carries oxygen-rich blood from the heart to the rest of the body. HAECs are adherent-growing epithelioid or polygonal cells that are spindle-like or densely packed under the microscope and positive for Factor VIII staining. HAECs regulate vascular contraction and growth. They release a wide range of bioactive substances, including antithrombotic and prothrombotic factors like tissue-type plasminogen activator (t-PA) and plasminogen activator inhibitor-1 (PAI-1). Also, HAECs modulate and regulate inflammation by activating cell adhesion molecules such as intercellular adhesion molecule-1 (ICAM-1). Furthermore, HAECs are also expressed with signaling biomarkers, including Tie2, eNOS, Axl and Etk/Bmx that are important for angiogenesis, cell survival, migration, proliferation and signaling.

Therefore, HAECs are widely used in cardiovascular function and disease studies, particularly diabetes complications, immune response, rejection of transplants, endothelial dysfunction, and for 3D endothelialized engineered tissues, new material surfaces and drug technologies. Those cells are also critical for angiogenesis and other important endothelial cell signaling networks.

Morphology of human aortic endothelial cells.Fig. 1. Morphology of human aortic endothelial cells under microscope in (A) 40×, Scale bar = 100 µm; (B) 100×, Scale bar = 50 µm, showed classical round borders and cobblestone appearance (Hao Q, Wang H, et al., 2019).

Glucose Treatment Causes Significant Transcriptional Changes in HAECs

Diabetes type 2 is a rising worldwide epidemic, with elevated blood sugar a primary risk factor for issues like vascular disease. Dysfunction of endothelial cells is crucial to these glucose-driven disorders. Bayaraa's team used deep time-series RNA-seq analysis to analyze human aortic endothelial cells in 24 hours exposed to normal and high glucose, looking for gene clusters impacted by glucose and the precise signaling cascades involved in initial transcriptional responses.

In order to examine the transcriptome change of human aortic endothelial cells (HAECs) in response to either normal glucose (NG, 5.5 mM) or high glucose (HG, 25 mM), they performed a time-course RNA-seq assay (Fig. 1). HAECs were exposed overnight to reduced serum and treated with NG or HG for 0.5, 1, 4, 8, and 24 hours. Each time point had four replicates, except 0.5 h HG with three. PCA showed distinct clusters related to treatment duration (Fig. 2A), indicating significant transcriptional changes as early as 0.5 hours, peaking at 4 hours (Fig. 2A). Differential gene expression analysis compared baseline (NG 0 h) to each time point. Under NG, DEGs peaked at 4 hours (1875 genes) and decreased by 8 hours (1203) and 24 hours (713). Initially, NG showed many upregulated genes (88% at 0.5 h), which balanced later (42–54%, Fig. 2B). Under HG, a similar pattern occurred with more DEGs, peaking at 4 hours with 2250 genes (Fig. 2B). For both NG and HG conditions, pairwise comparisons between time points (0–0.5, 0.5–1, 1–4, 4–8, and 8–24 h) were conducted to examine changes in the number of DEGs relative to prior intervals (Fig. 2C). A similar expression pattern was observed in both conditions, akin to the analysis against the baseline.

Diagram illustrating the experimental design for time-series RNA-seq.Fig. 1. Schematic of time-series RNA-seq experimental design (Bayaraa O, Inman C, et al., 2022).

Impact of glucose exposure over time on the transcriptome of HAECs.Fig. 2. The temporal effect of glucose treatment on the HAEC transcriptome (Bayaraa O, Inman C, et al., 2022).

Curcuminoids Inhibit Tubulogenesis in Stimulated HAECs

Angiogenesis, a key factor in tumor progression, can be inhibited by natural compounds such as curcumin, which affects endothelial cell functions. However, the effects of other curcuminoids like DMC and BisDMC remain underexplored. Giménez-Bastida et al. used human aortic endothelial cells (HAECs) to investigate the antiangiogenic activities of curcumin and its derivatives at physiological levels.

They examined how Curc, DMC, BisDMC, and their combination (Mix) at 5 μM affect the tubulogenic ability, specifically ring formation, of HAECs at various time points (Fig. 3). Without pro-angiogenic factors, there were no differences after 4 hours of pretreatment with curcuminoids between treated and untreated cells (Fig. 3B). However, when stimulated, cells formed more ring-like structures over time. All compounds significantly inhibited ring formation at different time points (Fig. 3A and B). They further tested lower concentrations (1 and 0.1 μM) at 21 hours, finding Curc ineffective below 5 μM (Fig. 4). In contrast, DMC and BisDMC consistently inhibited tubulogenesis across concentrations, while Mix showed significant effects at 5 and 1 μM (Fig. 4D).

Temporal influence of Curc, DMC, BisDMC, and their combination on tubulogenesis in HAECs.Fig. 3. Time course effect of Curc, DMC, BisDMC, and the Mix on HAECs tubulogenesis (iménez-Bastida J A, Ávila-Gálvez M A, et al., 2022).

Dose-responsive effects of Curc (A), DMC (B), BisDMC (C), and the Mix (D) on the tubulogenic process in HAECs.Fig. 4. Dose-dependent effect of Curc (A), DMC (B), BisDMC (C) and the Mix (D) on HAECs tubulogenesis (iménez-Bastida J A, Ávila-Gálvez M A, et al., 2022).

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