Post-transcriptional dysregulation in autism, schizophrenia and bipolar disorder
Abstract
Post-transcriptional gene regulation (PTGR) contributes to numerous aspects of RNA metabolism. While multiple regulators of PTGR have been associated with the occurrence and development of psychiatric disorders, a systematic investigation of the role of PTGR in the context of neuropsychiatric disorders is still lacking. In this work, we developed a new transcriptome -based algorithm to estimate PTGR and applied it to an RNA-Seq dataset of 2160 brain samples from individuals with autism spectrum disorder (ASD), schizophrenia (SCZ), bipolar disorder (BD) and controls. The results showed that the contribution of PTGR abnormality to gene differential expression between three common psychiatric disorders and controls was about 30% of that of transcriptional gene regulation (TGR) abnormality. Besides, aberrant PTGR tended to decrease RNA stability in SCZ/BD, while increase RNA stability in ASD, implicating contrasting pathologies among diseases. The abnormal alteration of PTGR in SCZ/BD converged on the inhibition of neurogenesis and neural differentiation, whereas dysregulation of PTGR in ASD induced enhanced activity of apoptosis. This suggested that heterogeneity in disease mechanism and clinical manifestation across different psychiatric disorders may be partially attributed to the diverse role of PTGR. Intriguingly, we identified a promising RBP (RNA bind protein) ELAVL3 (ELAV-Like Protein 3) that have a profound role in all three psychiatric disorders. Our systematic study expands the understanding of the link between PTGR and psychiatric disorders and also open a new avenue for deciphering the pathogenesis of psychiatric disorders.
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