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Functional Imaging of Arterial Cellular Recruitment and Lipid Extravasation. | LitMetric

AI Article Synopsis

  • The method described allows researchers to visualize and quantify properties of vessel walls and how cells and lipids interact in living arteries under real-life conditions.
  • This technique is especially relevant for studies related to inflammation, hypertension, and atherosclerosis and offers a more physiological alternative to traditional cell recruitment methods.
  • The model enables the combination of arteries and cells from different mouse strains, providing insights into cellular behavior without the need for invasive procedures, making it a versatile option for various experimental designs.

Article Abstract

The main purpose of this sophisticated and highly versatile method is to visualize and quantify structural vessel wall properties, cellular recruitment, and lipid/dextran extravasation under physiological conditions in living arteries. This will be of interest for a broad range of researchers within the field of inflammation, hypertension, atherosclerosis, and even the pharmaceutical industry. Currently, many researchers are using techniques to evaluate cellular recruitment, like transwell or flow chamber systems with cultured cells, with unclear physiological comparability. The here introduced method describes in detail the use of a sophisticated and flexible method to study arterial wall properties and leukocyte recruitment in fresh and viable murine carotid arteries under arterial flow conditions. This model mimics the situation and allows the use of cells and arteries isolated from two different donors (for example, wildtype vs. specific knockouts) to be combined into one experiments, thereby providing information on both leukocyte and/or endothelial cell properties of both donors. As such, this model can be considered an alternative for the complicated and invasive studies, such as parabiotic experiments.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586590PMC
http://dx.doi.org/10.21769/BioProtoc.2344DOI Listing

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