Incidence of alternative splicing associated with sex and opioid effects in the axon guidance pathway

轴突导向通路中与性别和阿片类药物效应相关的可变剪接发生率

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Abstract

The alternative splicing of a gene results in distinct transcript isoforms that can result in proteins that differ in function. Alternative splicing processes are prevalent in the brain, have varying incidence across brain regions, and can present sexual dimorphism. Exposure to opiates and other substances of abuse can also alter the type and incidence of the splicing process and the relative abundance of the isoforms produced. The disruption of alternative splicing patterns associated with sex differences and morphine exposure in the prefrontal cortex of a pig model was studied. The numbers of genes presenting one or more significant (FDR-adjusted p-value < 0.05) alternative splicing events were 933 and 1,368 genes when comparing females relative to males and morphine- relative to saline-treated animals, respectively. The sex-dependent opioid effect was most extreme in the contrast between morphine- versus saline-treated males with 1,934 significantly differentially spliced genes. The most frequent and significant alternative splicing type was skipped exon (∼56 % event), followed by retained intron (∼15 % events). The pathways encompassing a significant number of differentially spliced genes included axon guidance, glutamatergic synapses, circadian rhythm, and lysine degradation. Genes in these pathways included ROBO1, SEMA6C, GRIN3A, GRM2, ARNTL, CLOCK, HYKK, and DOT1L. Transcription factors ETV7 and DMAP1 presented a significant number of differentially spliced target genes. The distribution of the genes presenting differential alternative splicing in the axon guidance and circadian rhythm pathways indicates that this regulatory mechanism impacts hubs and peripheral genes. The identification of sexual dimorphism in the effect of morphine across multiple pathways confirms the necessity to explore the effects of drugs of abuse within sex. Altogether, our findings advance the understanding of the response to factors that can impact the activity of excitatory synapses by modulating transcriptional mechanisms that support the plasticity of the prefrontal cortex.

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