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Reference glycan structure libraries of primary human cardiomyocytes and pluripotent stem cell-derived cardiomyocytes reveal cell-type and culture stage-specific glycan phenotypes.

ABSTRACT: Cell surface glycoproteins play critical roles in maintaining cardiac structure and function in health and disease and the glycan-moiety attached to the protein is critical for proper protein folding, stability and signaling [1]. However, despite mounting evidence that glycan structures are key modulators of heart function and must be considered when developing cardiac biomarkers, we currently do not have a comprehensive view of the glycans present in the normal human heart. In the current study, we used porous graphitized carbon liquid chromatography interfaced with mass spectrometry (PGC-LC-MS) to generate glycan structure libraries for primary human heart tissue homogenate, cardiomyocytes (CM) enriched from human heart tissue, and human induced pluripotent stem cell derived CM (hiPSC-CM). Altogether, we established the first reference structure libraries of the cardiac glycome containing 265 N- and O-glycans. Comparing the N-glycome of CM enriched from primary heart tissue to that of heart tissue homogenate, the same pool of N-glycan structures was detected in each sample type but the relative signal of 21 structures significantly differed between samples, with the high mannose class increased in enriched CM. Moreover, by comparing primary CM to hiPSC-CM collected during 20-100 days of differentiation, dynamic changes in the glycan profile throughout in vitro differentiation were observed and differences between primary and hiPSC-CM were revealed. Namely, >30% of the N-glycome significantly changed across these time-points of differentiation and only 23% of the N-glycan structures were shared between hiPSC-CM and primary CM. These observations are an important complement to current genomic, transcriptomic, and proteomic profiling and reveal new considerations for the use and interpretation of hiPSC-CM models for studies of human development, disease, and drug testing. Finally, these data are expected to support future regenerative medicine efforts by informing targets for evaluating the immunogenic potential of hiPSC-CM and harnessing differences between immature, proliferative hiPSC-CM and adult primary CM.

SUBMITTER: Ashwood C

PROVIDER: S-EPMC7852319 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Reverse transcription, quantitative polymerase chain reaction (RT-qPCR) is a powerful technique to quantify gene expression by transcript abundance. Expression of target genes is normalized to expression of stable reference genes to account for sample preparation variability. Thus, the identification and validation of stably expressed reference genes is crucial for making accurate, quantitative, statistical conclusions in gene expression studies. Traditional housekeeping genes identified decades ago based on high and relatively stable expression are often used, although many have shown these to not be valid, particularly in highly dynamic systems such as stem cell differentiation. In this study we outline a rational approach to identify stable reference genes valid throughout human pluripotent stem cell (hPSC) differentiation to hPSC-derived cardiomyocytes (hPSC-CMs). Several publicly available transcriptomic data sets were analyzed to identify genes with low variability in expression throughout differentiation. These putative novel reference genes were subsequently validated in RT-qPCR analyses to assess their stability under various perturbations, including maturation during extended culture, lactate purification, and various differentiation efficiencies. Expression in hPSC-CMs was also compared with whole human heart tissue. A core set of three novel reference genes (EDF1, DDB1, and ZNF384) exhibited robust stability across the conditions tested, whereas expression of the traditional housekeeping genes tested (ACTB, B2M, GAPDH, and RPL13A) varied significantly under these conditions. Impact statement This article presents an unbiased method for the selection and validation of novel reference genes for real-time quantitative polymerase chain reaction normalization using data from RNA sequencing datasets. This method identified more robust and stable reference genes for gene expression studies during human pluripotent stem cell differentiation to cardiomyocytes than commonly used reference genes. This study also provides a roadmap for identifying reference genes for assessing gene expression during other dynamic cellular processes, including stem cell differentiation to other cell types.

Project description: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.

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Reference glycan structure libraries of primary human cardiomyocytes and pluripotent stem cell-derived cardiomyocytes reveal cell-type and culture stage-specific glycan phenotypes.

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