bioRxivMolecular BiologyPreprint
Dynamic mRNA stability changes buffer transcriptional activation during neuronal differentiation and are regulated by RNA binding proteins.
Yuan ZhouiD, Sherif RashadiD, Teiji TominagaiD, Kuniyasu NiizumaiD
Abstract
The steady state levels of mRNA are outcomes of a finely tuned interplay between RNA transcription and decay. Therefore, the modulation of RNA stability is generally assumed to influence RNA abundance in a positive direction. However, the correlation between mRNA transcription, translation and stability remains elusive. Here, we employed a newly developed simplified mRNA stability profiling technique to explore the role of mRNA stability in SH-SY5Y neuronal differentiation model. Transcriptome-wide mRNA stability analysis revealed neural-specific RNA stability kinetics, including stabilization of transcripts encoding regulators of neuronal morphogenesis and function and destabilization of mitochondrial electron transport and redox homeostasis. When we further examined the relationship between transcription, translation and mRNA stability, a bidirectional regulation of RNA stability was revealed, wherein mRNA stability could either exert the buffering effect on gene products or change in a same direction as transcription. Motif analysis unveiled SAMD4A as a major regulator of the dynamic changes in mRNA stability observed during differentiation. Knockdown of SAMD4A impaired neuronal differentiation and influenced the response to oxidative stress. Mechanistically, SAMD4A was found to alter the stability of several mRNAs to which it binds. Meanwhile, a dimorphic pattern of the correlation between gene expression and SAMD4A-regulated mRNA stability was observed, suggesting dynamic regulation mRNA stability during the neuronal differentiation guided by SAMD4A. The novel insights into the interplay between mRNA stability and cellular behaviors provide a foundation for understanding neurodevelopmental processes and neurodegenerative disorders and highlights dynamic mRNA stability as an important layer of gene expression regulation.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 4
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