Abstract
The ability to accurately phenotype cells differentiated from human induced pluripotent stem cells (hiPSCs) is essential for their application in modeling developmental and disease processes, yet also poses a particular challenge without the context of anatomical location. Our specific objective was to determine if single-cell gene expression was sufficient to predict the electrophysiology of iPSC-derived cardiac lineages, to evaluate the concordance between molecular and functional surrogate markers. To this end, we used the genetically encoded voltage indicator ArcLight to profile hundreds of hiPSC-derived cardiomyocytes (hiPSC-CMs), thus identifying patterns of electrophysiological maturation and increased prevalence of cells with atrial-like action potentials (APs) between days 11 and 42 of differentiation. To profile expression patterns of cardiomyocyte subtype-associated genes, single-cell RNA-seq was performed at days 12 and 40 after the populations were fully characterized with the high-throughput ArcLight platform. Although we could detect global gene expression changes supporting progressive differentiation, individual cellular expression patterns alone were not able to delineate the individual cardiomyocytes into atrial, ventricular, or nodal subtypes as functionally documented by electrophysiology measurements. Furthermore, our efforts to understand the distinct electrophysiological properties associated with day 12 versus day 40 hiPSC-CMs revealed that ion channel regulators SLMAP, FGF12, and FHL1 were the most significantly increased genes at day 40, categorized by electrophysiology-related gene functions. Notably, FHL1 knockdown during differentiation was sufficient to significantly modulate APs toward ventricular-like electrophysiology. Thus, our results establish the inability of subtype-associated gene expression patterns to specifically categorize hiPSC-derived cells according to their functional electrophysiology, and yet, altered FHL1 expression is able to redirect electrophysiological maturation of these developing cells. Therefore, noncanonical gene expression patterns of cardiac maturation may be sufficient to direct functional maturation of cardiomyocytes, with canonical gene expression patterns being insufficient to temporally define cardiac subtypes of in vitro differentiation.
Highlights
Despite widespread use of human induced pluripotent stem cells, questions remain regarding to what degree cells differentiated from hiPSCs in vitro appropriately mimic their in vivo counterparts
Following the formation of beating cardiomyocytes, which typically occurred around day 8 of directed differentiation, the ArcLight transgene was introduced to the hiPSC-CMs by lentiviral transduction to optically evaluate electrophysiology
We profiled the heterogeneous nature of hiPSC-CMs, providing new insight into how gene expression and the electrophysiological features of these cells relate to each other throughout the first *1.5 months of the differentiation process
Summary
Despite widespread use of human induced pluripotent stem cells (hiPSCs), questions remain regarding to what degree cells differentiated from hiPSCs in vitro appropriately mimic their in vivo counterparts. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide an excellent example, since the process of heart development involves the differentiation of distinct ventricular, atrial, and nodal subtypes of cardiomyocytes with unique phenotypes, including in both gene expression and functional measures such as electrophysiology [1,2,3,4,5,6]. Similar to what takes place during heart development, cardiac differentiation of pluripotent stem cells produces a diverse population of cardiomyocytes reported to exhibit ventricular-, atrial-, and nodal-like features [7,8]. This is of great importance for the application of these cells; ideally, the type of cardiomyocyte should suit its ultimate purpose. Imperfect markers and inconsistent approaches lead to conflicting views of what constitutes a defining subtype characteristic, which hinders these downstream applications
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