Temporal multiomics gene expression data across human embryonic stem cell-derived polyhormonal cell differentiation

Area of Science:

• Developmental Biology
• Stem Cell Biology
• Genomics

Background:

• Human embryonic stem cells (hESCs) are crucial for studying early human development and lineage specification.
• Understanding the regulatory programs governing differentiation is essential for regenerative medicine and disease modeling.

Purpose of the Study:

• To generate a high-resolution, temporal multi-omics dataset tracking molecular changes during hESC differentiation.
• To investigate the dynamics of mRNA, translation, and protein expression during differentiation into definitive endoderm and polyhormonal cells.

Main Methods:

• RNA-sequencing (RNA-seq) for transcriptome analysis.
• Ribosome profiling for translational control assessment.
• Quantitative mass spectrometry-based proteomics for protein abundance profiling.

Main Results:

• Comprehensive temporal data on transcriptional, translational, and protein expression dynamics.
• High technical quality with strong reproducibility across biological replicates.
• Detailed characterization of molecular changes during endodermal and pancreatic lineage commitment.

Conclusions:

• The dataset provides critical insights into regulatory mechanisms driving polyhormonal cell differentiation.
• This resource enables deeper exploration of mammalian development and endodermal lineage specification.
• Facilitates research on gene regulation during early human development.