Practical adoption of state-of-the-art hiPSC-cardiomyocyte differentiation techniques

CE Rupert, C Irofuala, KLK Coulombe - PLoS One, 2020 - journals.plos.org
CE Rupert, C Irofuala, KLK Coulombe
PLoS One, 2020journals.plos.org
Human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes are a valuable
resource for cardiac therapeutic development; however, generation of these cells in large
numbers and high purity is a limitation in widespread adoption. Here, design of experiments
(DOE) is used to investigate the cardiac differentiation space of three hiPSC lines when
varying CHIR99027 concentration and cell seeding density, and a novel image analysis is
developed to evaluate plate coverage when initiating differentiation. Metabolic selection via …
Human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes are a valuable resource for cardiac therapeutic development; however, generation of these cells in large numbers and high purity is a limitation in widespread adoption. Here, design of experiments (DOE) is used to investigate the cardiac differentiation space of three hiPSC lines when varying CHIR99027 concentration and cell seeding density, and a novel image analysis is developed to evaluate plate coverage when initiating differentiation. Metabolic selection via lactate purifies hiPSC-cardiomyocyte populations, and the bioenergetic phenotype and engineered tissue mechanics of purified and unpurified hiPSC-cardiomyocytes are compared. Findings demonstrate that when initiating differentiation one day after hiPSC plating, low (3 μM) Chiron and 72 x 103 cells/cm2 seeding density result in peak cardiac purity (50–90%) for all three hiPSC lines. Our results confirm that metabolic selection with lactate shifts hiPSC-cardiomyocyte metabolism towards oxidative phosphorylation, but this more “mature” metabolic phenotype does not by itself result in a more mature contractile phenotype in engineered cardiac tissues at one week of culture in 3D tissues. This study provides widely adaptable methods including novel image analysis code and parameters for refining hiPSC-cardiomyocyte differentiation and describes the practical implications of metabolic selection of cardiomyocytes for downstream tissue engineering applications.
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