Keskin Abdurrahman, Shayya Hani J, Sirabella Dario, Patel Achchhe, Corneo Barbara, Jovanovic Marko
Department of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Mortimer B. Zuckerman Mind, Brain and Behavior Institute, Columbia University, New York, NY, 10027, USA.
Sci Data. 2025 Jul 28;12(1):1308. doi: 10.1038/s41597-025-05655-9.
Human embryonic stem cells (hESCs) serve as a valuable in vitro model for studying early human developmental processes due to their ability to differentiate into all three germ layers. Here, we present a comprehensive multi-omics dataset generated by differentiating hESCs into cardiomyocytes via the mesodermal lineage, collecting samples at 10 distinct time points. We measured mRNA levels by mRNA sequencing (mRNA-seq), translation levels by ribosome profiling (Ribo-seq), and protein levels by quantitative mass spectrometry-based proteomics. Technical validation confirmed high quality and reproducibility across all datasets, with strong correlations between replicates. This extensive dataset provides critical insights into the complex regulatory mechanisms of cardiomyocyte differentiation and serves as a valuable resource for the research community, aiding in the exploration of mammalian development and gene regulation.
人类胚胎干细胞（hESCs）因其能够分化为所有三个胚层，而成为研究人类早期发育过程的宝贵体外模型。在此，我们展示了一个全面的多组学数据集，该数据集通过将hESCs经中胚层谱系分化为心肌细胞而生成，在10个不同时间点收集样本。我们通过mRNA测序（mRNA-seq）测量mRNA水平，通过核糖体谱分析（Ribo-seq）测量翻译水平，并通过基于定量质谱的蛋白质组学测量蛋白质水平。技术验证证实了所有数据集的高质量和可重复性，各重复样本之间具有很强的相关性。这个广泛的数据集为心肌细胞分化的复杂调控机制提供了关键见解，并作为研究界的宝贵资源，有助于探索哺乳动物发育和基因调控。
