Annals of NeurosciencesNeurosciencePeer-reviewed journal article
Opioid Modulation of Differential Gene Expression and Neuronal Differentiation in the Ventricular-Subventricular Zone of Adult Male Zebra Finches
Abstract
1The endogenous opioid system modulates diverse functions including pain, physiological functions and motivation. We had earlier demonstrated an increase in cell proliferation in the neurogenic niche of adult male zebra finches, following administration of the general opioid antagonist, naloxone. Since the mechanisms underlying opioid modulation of neurogenesis are poorly understood, we have investigated the molecular mechanisms underlying cell proliferation differentiation induced by the opioid system. Systemic naloxone or vehicle administration in adult male birds was followed by a whole transcriptome microarray assay of the ventricular-subventricular zone (V-SVZ). The analysis revealed 26 differentially expressed transcripts (expression fold change [≥] 1.5), encoding genes important for neuronal functions. The transcriptomics analysis using microarray identified a significant increase in the expression of precursor miRNA tgu-mir-124-201 transcript following inhibition of opioid receptors by naloxone. Our results suggested that the administration of naloxone triggers an increase in the expression of the pro-differentiating microRNA, miR-124, in the brains of adult zebra finches. Using quantitative real-time PCR, we found that the expression of miR-124-3p was higher in the V-SVZ of naloxone-treated versus control birds. Furthermore, the density of neuroblasts was higher in the ventral V-SVZ adjacent to the striatal nucleus Area X, but not in the V-SVZ above the pallial nucleus, HVC, both of which are involved in singing. Since miR-124 targets signalling pathways important for neuronal proliferation and differentiation, our findings suggest that microRNA-124 may be involved in the increase in neurogenesis in adult songbirds induced by altering opioid modulation.
- organism: zebrafish
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
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