Temporal multiomics gene expression data of human embryonic stem cell-derived cardiomyocyte differentiation

Area of Science:

• Developmental Biology
• Stem Cell Biology
• Genomics

Background:

• Human embryonic stem cells (hESCs) are crucial for studying early human development.
• hESCs can differentiate into all three germ layers, including cardiomyocytes.
• Understanding cardiomyocyte differentiation is vital for regenerative medicine and developmental studies.

Purpose of the Study:

• To generate a comprehensive multi-omics dataset of hESC differentiation into cardiomyocytes.
• To provide a valuable resource for studying gene regulation during mammalian development.
• To elucidate the regulatory mechanisms governing cardiomyocyte differentiation.

Main Methods:

• Differentiated hESCs into cardiomyocytes through the mesodermal lineage across 10 time points.
• Utilized mRNA sequencing (mRNA-seq) for gene expression analysis.
• Employed ribosome profiling (Ribo-seq) for translation efficiency and quantitative mass spectrometry-based proteomics for protein abundance.

Main Results:

• Generated high-quality, reproducible multi-omics data (mRNA, translation, protein levels).
• Confirmed strong correlations between biological replicates across all datasets.
• Established a detailed temporal profile of molecular changes during cardiomyocyte differentiation.

Conclusions:

• The generated dataset offers critical insights into cardiomyocyte differentiation regulatory mechanisms.
• This resource aids research into mammalian development and gene regulation.
• Facilitates further exploration of stem cell differentiation pathways.