9 research outputs found

    miRviewer: a multispecies microRNA homologous viewer

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    <p>Abstract</p> <p>Background</p> <p>MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression via binding to the 3' ends of mRNAs. MiRNAs have been associated with many cellular events ascertaining their central role in gene regulation. In order to better understand miRNAs of interest it is of utmost importance to learn about the genomic conservation of these genes.</p> <p>Findings</p> <p>The miRviewer web-server, presented here, encompasses all known miRNAs of currently fully annotated animal genomes in a visual 'birds-eye' view representation. miRviewer provides a graphical outlook of the current miRNA world together with sequence alignments and secondary structures of each miRNA. As a test case we experimentally examined the expression of several miRNAs in various animals.</p> <p>Conclusions</p> <p>miRviewer completes the homologous miRNA space with hundreds of unreported miRNAs and is available at: <url>http://people.csail.mit.edu/akiezun/miRviewer</url></p

    Versatility of MicroRNA Biogenesis

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    MicroRNAs (miRNAs) are short single-stranded RNA molecules that regulate gene expression. MiRNAs originate from large primary (pri) and precursor (pre) transcripts that undergo various processing steps along their biogenesis pathway till they reach their mature and functional form. It is not clear, however, whether all miRNAs are processed similarly. Here we show that the ratio between pre-miRNA and mature miRNA forms varies between different miRNAs. Moreover, over-expression of several factors involved in miRNA biogenesis, including Exportin-5, Drosha, NF90a, NF45 and KSRP, displayed bidirectional effects on pre/mature miRNA ratios, suggesting their intricate biogenesis sensitivity. In an attempt to identify additional factors that might explain the versatility in miRNA biogenesis we have analyzed the contribution of two hnRNP family members, hnRNPH1 and hnRNPR. Knock-down or over-expression of these genes suggested that hnRNPR inhibits, whereas hnRNPH1 facilitates, miRNA processing. Overall, our results emphasize that miRNA biogenesis is versatile

    Multi-omics analysis identifies mitochondrial pathways associated with anxiety-related behavior

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    Author summary Genetic and environmental factors contribute to the etiology of psychiatric diseases but the underlying mechanisms are poorly understood. Chronic psychosocial stress is a well-known risk factor for anxiety disorders. To identify biological pathways involved in psychosocial stress-induced anxiety and resilience to it, we used a well-characterized mouse model of chronic social defeat stress (CSDS) in two inbred mouse strains, C57BL/6NCrl (B6) and DBA/2NCrl (D2), which differ in their susceptibility to stress. We focused on the bed nucleus of the stria terminalis, a key brain region behind stress-response and anxiety, and carried out genome-wide analysis of mRNA, and miRNA expression, and protein abundance. Bioinformatic integration of these data supported differences in mitochondrial pathways as a major stress response. To translate these findings to human anxiety, we investigated blood cell gene expression in mice and in panic disorder patients exposed to fearful situations and experiencing panic attacks. Concurring with our brain findings, expression of mitochondrial pathways was also affected in mouse and human blood cells, suggesting that the observed stress response mechanisms are evolutionarily conserved. Therefore, chronic stress may critically affect cellular energy metabolism, a finding that may offer new targets for therapeutic interventions of stress-related diseases.Peer reviewe

    Mediating role of miR-29c in stress sustainment.

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    <p>The illustrated mediation model depicts a significant indirect path from vmPFC-aIns FC during the stress task (compared to control, delta beta values) to the change in subjective stress (in R4, 20-min after stress, compared to R3, immediately after stress), through miR-29c fold-change. Specifically, enhanced vmPFC-aIns FC led to higher reported stress levels through increases in miR-29c expression. Beta values are shown next to arrows indicating each link in the analysis. *p<0.05, <sup>+</sup>p = 0.064.</p

    Experimental design, psychological and physiological responses to stress.

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    <p>Following the acclimation phase and the first blood sample drawn for miRNA expression, participants underwent a scanning session that included control (backward counting) and stress (serial subtraction) tasks; 3-hours following stress induction blood was drawn again. Elicitation of stress is shown by repeated subjective reports of stress levels (R1-4), heart-rate records and salivary cortisol samples (S1-4); for the whole cohort and for separate groups according to stress sustainment vs. recovery. The black line and circle represent the whole sample. ** p<0.001.</p

    Stress-induced alterations in vmPFC FC.

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    <p>Areas that altered FC with the vmPFC seed ROI when contrasting stress vs. control, p(FDR corrected) = 0.0005. (1) Bilateral aIns (2) right IFG (3) dlPFC (4) PCC (5) left IPL. T-score scale is shown at the bottom, with red representing increased FC and green decreased FC. The table presents peak voxels and corresponding T values.</p
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