How to control miRNA maturation?
ABSTRACT In this point of view we discuss the role of co-activators and co-repressors of miRNA precursors maturation, the possibility that their functions are post translationally regulated by different signaling pathways, and their potential role in the miRNA-dependent control of cell proliferation and differentiation.
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ABSTRACT: Background The expression of microRNA (miRNA) genes undergoes several maturation steps. Recent studies brought new insights into the maturation process, but also raised debates on the maturation mechanism. To understand the mechanism better, we downloaded small RNA sequence reads from NCBI SRA and quantified the expression profiles of miRNAs in normal and tumor liver tissues. Results From these miRNA expression profiles, we studied several issues related to miRNA biogenesis. First of all, the 3' ends of mature miRNAs usually carried modified nucleotides, generated from nucleotide addition or RNA editing. We found that adenine accounted for more than 50% of all miRNA 3' end modification events in all libraries. However, uracil dominated over adenine in several miRNA types. Moreover, the miRNA reads in the HBV-associated libraries have much lower rates of nucleotide modification. These results indicate that miRNA 3' end modifications are miRNA specific and may differ between normal and tumor tissues. Secondly, according to the hydrogen-bonding theory, the expression ratio of 5p arm to 3p arm miRNAs, derived from the same pre-miRNA, should be constant over tissues. However, a comparison of the expression profiles of the 5p arm and 3p arm miRNAs showed that one arm is preferred in the normal liver tissue whereas the other is preferred in the tumor liver tissue. In other words, different liver tissues have their own preferences on selecting either arm to be mature miRNAs. Conclusions The results suggest that besides the traditional miRNA biogenesis theory, another mechanism may also participate in the miRNA biogenesis pathways.BMC Systems Biology 6(2). · 2.98 Impact Factor
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ABSTRACT: The single-strand-RNA binding protein KSRP is able to negatively regulate gene expression operating with at least two distinct and integrated postranscriptional mechanisms: i) by promoting decay of unstable mRNAs and ii) by favoring maturation from precursors of select microRNAs (miRNAs) including the prototypical tumor suppressor let-7. Studies performed in primary and cultured cells as well as in mice proved that the ability of KSRP to integrate different levels of gene expression is required for proper immune response, lipid metabolism, cell-fate decisions, tissue regeneration, and DNA damage response.Seminars in Cell and Developmental Biology 05/2014; · 6.20 Impact Factor
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ABSTRACT: Dendritic mRNA transport and local translation in the postsynaptic compartment play an important role in synaptic plasticity, learning and memory. Local protein synthesis at the synapse has to be precisely orchestrated by a plethora of factors including RNA binding proteins as well as microRNAs, an extensive class of small non-coding RNAs. By binding to complementary sequences in target mRNAs, microRNAs fine-tune protein synthesis and thereby represent critical regulators of gene expression at the post-transcriptional level. Research over the last years identified an entire network of dendritic microRNAs that fulfills an essential role in synapse development and physiology. Recent studies provide evidence that these small regulatory molecules are highly regulated themselves, at the level of expression as well as function. The importance of microRNAs for correct function of the nervous system is reflected by an increasing number of studies linking dysregulation of microRNA pathways to neurological disorders. By focusing on three extensively studied examples (miR-132, miR-134, miR-138), this review will attempt to illustrate the complex regulatory roles of dendritic microRNAs at the synapse and their implications for pathological conditions.Cellular and Molecular Life Sciences CMLS 07/2014; · 5.62 Impact Factor