A Semi-Automated and Reproducible Biological-Based Method to Quantify Calcium Deposition In Vitro.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
02 06 2022
Historique:
entrez: 20 6 2022
pubmed: 21 6 2022
medline: 23 6 2022
Statut: epublish

Résumé

Vascular calcification involves a series of degenerative pathologies, including inflammation, changes to cellular phenotype, cell death, and the absence of calcification inhibitors, that concomitantly lead to a loss of vessel elasticity and function. Vascular calcification is an important contributor to morbidity and mortality in many pathologies, including chronic kidney disease, diabetes mellitus, and atherosclerosis. Current research models to study vascular calcification are limited and are only viable at the late stages of calcification development in vivo. In vitro tools for studying vascular calcification use end-point measurements, increasing the demands on biological material and risking the introduction of variability to research studies. We demonstrate the application of a novel fluorescently labeled probe that binds to in vitro calcification development on human vascular smooth muscle cells and determines the real-time development of in vitro calcification. In this protocol, we describe the application of our newly developed calcification assay, a novel tool in disease modeling that has potential translational applications. We envisage this assay to be relevant in a broader spectrum of mineral deposition research, including applications in bone, cartilage, or dental research.

Identifiants

pubmed: 35723489
doi: 10.3791/64029
doi:

Substances chimiques

Calcium SY7Q814VUP

Types de publication

Journal Article Video-Audio Media Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Armand M G Jaminon (AMG)

Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University.

Nikolas Rapp (N)

Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University.

Asim C Akbulut (AC)

Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University.

Robert Dzhanaev (R)

Helmholtz Institute for Biomedical Engineering, Biointerface Group, RWTH Aachen University.

Chris P Reutelingsperger (CP)

Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University.

Willi Jahnen-Dechent (W)

Helmholtz Institute for Biomedical Engineering, Biointerface Group, RWTH Aachen University; willi.jahnen@rwth-aachen.de.

Leon J Schurgers (LJ)

Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University; Institute of Experimental Medicine and Systems Biology, RWTH Aachen University; l.schurgers@maastrichtuniversity.nl.

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Classifications MeSH