ArticleScientific data2025
Temporal multiomics gene expression data of human embryonic stem cell-derived cardiomyocyte differentiation.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Temporal multiomics gene expression data across human embryonic stem cell-derived polyhormonal cell differentiation.Scientific data · 2026Article
- A versatile distance-based approach for gene expression selection across diverse biological systems.Frontiers in immunology · 2026Article
- Temporal multiomics gene expression data of human embryonic stem cell-derived cardiomyocyte differentiation.Scientific data · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
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.
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Registered trials
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