A collaborative group of European researchers integrated single-cell proteomics by mass spectrometry with transcriptomics to map early human hematopoietic differentiation using over 2,500 CD34+ stem and progenitor cells. Their dynamic model revealed disparities between mRNA and protein expression in immature cells, indicating changes in transcript turnover, translation, and protein stability during differentiation. The integrated dataset captures the complete gene expression lifecycle in single cells, addressing limitations of transcript-only approaches and refining insights into stem cell function and lineage commitment.