Adaptable pulsatile flow generated from stem cell-derived cardiomyocytes using quantitative imaging-based signal transduction
| Autor: | Benjamin D. Gastfriend, Kelsey Tweed, Daniel A. Gil, Emmanuel Contreras Guzman, Melissa C. Skala, Sean P. Palecek, Tongcheng Qian |
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| Rok vydání: | 2020 |
| Předmět: |
Contraction (grammar)
Biomedical Engineering Pulsatile flow Bioengineering Biochemistry Article 03 medical and health sciences 0302 clinical medicine In vivo Shear stress Humans Myocytes Cardiac 030304 developmental biology 0303 health sciences Chemistry Stem Cells Spheroid Endothelial Cells General Chemistry Blood flow Pulsatile Flow Biophysics Stress Mechanical Signal transduction Stem cell 030217 neurology & neurosurgery Signal Transduction |
| Zdroj: | Lab Chip |
| ISSN: | 1473-0189 1473-0197 |
| DOI: | 10.1039/d0lc00546k |
| Popis: | Endothelial cells (EC) in vivo are continuously exposed to a mechanical microenvironment from blood flow, and fluidic shear stress plays an important role in EC behavior. New approaches to generate physiologically and pathologically relevant pulsatile flows are needed to understand EC behavior under different shear stress regimes. Here, we demonstrate an adaptable pump (Adapt-Pump) platform for generating pulsatile flows from human pluripotent stem cell-derived cardiac spheroids (CS) via quantitative imaging-based signal transduction. Pulsatile flows generated from the Adapt-Pump system can recapitulate unique CS contraction characteristics, accurately model responses to clinically relevant drugs, and simulate CS contraction changes in response to fluidic mechanical stimulation. We discovered that ECs differentiated under a long QT syndrome derived pathological pulsatile flow exhibit abnormal EC monolayer organization. This Adapt-Pump platform provides a powerful tool for modeling the cardiovascular system and improving our understanding of EC behavior under different mechanical microenvironments. |
| Databáze: | OpenAIRE |
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