Journal: Scientific Data

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

doi: 10.1038/s41597-026-06606-8

Figure Lengend Snippet: Experimental design and multi-omics data generation. hESCs were differentiated into the endoderm germ layer and subsequently into polyhormonal cells. Samples were collected at 10 different time points during the time-course of hESC differentiation, and matched samples were measured for RNA, translation, and protein levels by RNA-seq, ribosome profiling, and mass spectrometry, respectively. Created with BioRender.com.

Article Snippet: Based on this measurement, 15 ng of dephosphorylated RPFs were used as input for ligation-free library preparation using the SMARTer Small RNA-Seq Library Preparation Kit (Takara Bio), performed according to the manufacturer’s instructions .

Techniques: Biomarker Discovery, RNA Sequencing, Mass Spectrometry

Journal: Scientific Data

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

doi: 10.1038/s41597-026-06606-8

Figure Lengend Snippet: Correlation analysis of samples across all time points and replicates for each omics dataset: ( a ) RNA-seq, ( b ) Ribo-seq, and ( c ) LC–MS/MS. Each panel displays pairwise comparisons between samples, with the upper right triangle showing scatter plots and the lower left triangle indicating Pearson correlation coefficients (R). Biological replicate pairs from the same time point are outlined in red, with both their scatter plots (upper right) and correlation values (lower left) highlighted.

Article Snippet: Based on this measurement, 15 ng of dephosphorylated RPFs were used as input for ligation-free library preparation using the SMARTer Small RNA-Seq Library Preparation Kit (Takara Bio), performed according to the manufacturer’s instructions .

Techniques: RNA Sequencing, Liquid Chromatography with Mass Spectroscopy

Journal: Scientific Data

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

doi: 10.1038/s41597-026-06606-8

Figure Lengend Snippet: Quality control and PCA of the RNA-seq data. ( a ) Mean base quality scores across read positions, shown as Phred scores for all libraries. ( b ) Distribution of mean quality scores across all reads in each sample. ( c ) Percentage of undetermined bases (N) at each position along the reads, with individual samples represented by green lines. Shaded regions indicate quality thresholds: green for high quality, yellow for moderate quality, and red for low quality. ( d ) Gene-body coverage profiles showing normalized read coverage from the 5′ to 3′ end across transcripts, indicating uniform coverage and minimal positional bias. ( e ) Sequencing-depth saturation curves showing the number of genes detected (≥10 counts) as a function of the number of reads retained, demonstrating adequate sensitivity at the achieved read depth. ( f ) Principal Component Analysis (PCA) showing variance in RNA expression profiles across the differentiation time course, with separation by day and clustering of biological replicates.

Article Snippet: Based on this measurement, 15 ng of dephosphorylated RPFs were used as input for ligation-free library preparation using the SMARTer Small RNA-Seq Library Preparation Kit (Takara Bio), performed according to the manufacturer’s instructions .

Techniques: Control, RNA Sequencing, Sequencing, RNA Expression