Automated grouping of action potentials of human embryonic stem cell-derived cardiomyocytes.
Automated grouping of action potentials of human embryonic stem cell-derived cardiomyocytes.
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DOI：
10.1109/tbme.2014.2311387
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发表时间：
2014-09
期刊：
影响因子：
--
通讯作者：
Vidal R
中科院分区：
文献类型：
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作者：
Gorospe G;Zhu R;Millrod MA;Zambidis ET;Tung L;Vidal R
从人胚胎干细胞（hESC）获得心肌细胞的方法正在以显著的速度改进。然而，这些心肌细胞的特征正在以相对较慢的速度发展。特别是，在表型分类（心室样、心房样、心房样等）方面仍存在不确定性。的hESC衍生的心肌细胞（hESC-CM）。虽然先前的研究基于其动作电位的电生理学特征来识别心肌细胞的表型，但分类标准通常是主观的，并且在不同的研究中有所不同。在本文中，我们使用信号处理和机器学习技术来开发一种自动化方法来区分hESC-CM之间的电生理差异。具体来说，我们提出了一种基于频谱分组的算法，根据心肌细胞动作电位形状的相似性将心肌细胞分成不同的组。我们将这种方法应用于从人胚状体（hEBs）解剖的心脏细胞簇的光学地图的数据集。虽然数据集中的9个细胞簇中的一些仅呈现一种表型，但大多数细胞簇呈现多种表型。所提出的算法通常适用于其他动作电位数据集，并可以证明是有用的，从电生理学的角度研究特定类型的心肌细胞的纯化。
Methods for obtaining cardiomyocytes from human embryonic stem cells (hESCs) are improving at a significant rate. However, the characterization of these cardiomyocytes is evolving at a relatively slower rate. In particular, there is still uncertainty in classifying the phenotype (ventricular-like, atrial-like, nodal-like, etc.) of an hESC-derived cardiomyocyte (hESC-CM). While previous studies identified the phenotype of a cardiomyocyte based on electrophysiological features of its action potential, the criteria for classification were typically subjective and differed across studies. In this paper, we use techniques from signal processing and machine learning to develop an automated approach to discriminate the electrophysiological differences between hESC-CMs. Specifically, we propose a spectral grouping-based algorithm to separate a population of cardiomyocytes into distinct groups based on the similarity of their action potential shapes. We applied this method to a dataset of optical maps of cardiac cell clusters dissected from human embryoid bodies (hEBs). While some of the 9 cell clusters in the dataset presented with just one phenotype, the majority of the cell clusters presented with multiple phenotypes. The proposed algorithm is generally applicable to other action potential datasets and could prove useful in investigating the purification of specific types of cardiomyocytes from an electrophysiological perspective.