Translational landscape in human early neural fate determination.
Chenchao YanYajing MengJie YangJian ChenWei JiangPublished in: Development (Cambridge, England) (2023)
Gene expression regulation in eukaryotes is a multi-level process, including transcription, mRNA translation and protein turnover. Many studies have reported sophisticated transcriptional regulation during neural development, but the global translational dynamics are still ambiguous. Here, we differentiate human embryonic stem cells (ESCs) into neural progenitor cells (NPCs) with high efficiency and perform ribosome sequencing and RNA sequencing on both ESCs and NPCs. Data analysis reveals that translational controls engage in many crucial pathways and contribute significantly to regulation of neural fate determination. Furthermore, we show that the sequence characteristics of the untranslated region (UTR) might regulate translation efficiency. Specifically, genes with short 5'UTR and intense Kozak sequence are associated with high translation efficiency in human ESCs, whereas genes with long 3'UTR are related to high translation efficiency in NPCs. In addition, we have identified four biasedly used codons (GAC, GAT, AGA and AGG) and dozens of short open reading frames during neural progenitor differentiation. Thus, our study reveals the translational landscape during early human neural differentiation and provides insights into the regulation of cell fate determination at the translational level.
Keyphrases
- endothelial cells
- gene expression
- induced pluripotent stem cells
- single cell
- pluripotent stem cells
- high efficiency
- cell fate
- embryonic stem cells
- dna methylation
- minimally invasive
- molecularly imprinted
- solid phase extraction
- machine learning
- working memory
- binding protein
- deep learning
- small molecule
- bone mineral density
- simultaneous determination
- artificial intelligence