Transcriptional Regulation Of miRNA Genes Research Articles

MiRNA-target interactions in osteogenic signaling pathways involving zinc via the metal regulatory element.

Adequate zinc nutriture is necessary for normal bone growth and development, though the precise mechanisms for zinc-mediated bone growth remain poorly defined. A key transcription factor activated by zinc is metal response element-binding transcription factor 1 (MTF-1), which binds to the metal regulatory element (MRE). We hypothesize that MREs will be found upstream of miRNA genes as well as miRNA target genes in the following bone growth and development signaling pathways: TGF-β, MAPK, and Wnt. A Bioconductor-based workflow in R was designed to identify interactions between MREs, miRNAs, and target genes. MRE sequences were found upstream from 64 mature miRNAs that interact with 213 genes which have MRE sequences in their own promoter regions. MAPK1 exhibited the most miRNA-target interactions (MTIs) in the TGF-β and MAPK signaling pathways; CCND2 exhibited the most interactions in the Wnt signaling pathway. Hsa-miR-124-3p exhibited the most MTIs in the TGF-β and MAPK signaling pathways; hsa-miR-20b-5p exhibited the most MTIs in the Wnt signaling pathway. MYC and hsa-miR-34a-5p were shared between all three signaling pathways, also forming an MTI unit. JUN exhibited the most protein-protein interactions, followed by MAPK8. These in silico data support the hypothesis that intracellular zinc status plays a role in osteogenesis through the transcriptional regulation of miRNA genes via the zinc/MTF-1/MRE complex.

Cap‐seq reveals complicated miRNA transcriptional mechanisms in C. elegans and mouse

BackgroundMicroRNAs (miRNAs) regulate target gene expression at post‐transcriptional level. Intense research has been conducted for miRNA identification and the target finding. However, much less is known about the transcriptional regulation of miRNA genes themselves. Recently, a special group of pre‐miRNAs that are produced directly by transcription without Drosha processing were validated in mouse, indicating the complexity of miRNA biogenesis.MethodsIn this work, we detect clusters of aligned Cap‐seq reads to find the transcription start sites (TSSs) for intergenic miRNAs and study their transcriptional regulation in Caenorhabditis elegans and mouse.ResultsIn both species, we have identified a class of special pre‐miRNAs whose 5′ ends are capped, and are most probably generated directly by transcription. Furthermore, we distinguished another class of special pre‐miRNAs that are 5′‐capped but are also part of longer primary miRNAs, suggesting they may have more than one transcription mechanism. We detected multiple cap reads peaks within miRNA clusters in C. elegans. We surmised that the miRNAs in a cluster may either be transcribed independently or be re‐capped during the microprocessor cleavage process. We also observed that H3K4me3 and Pol II are enriched at those identified miRNA TSSs.ConclusionsThe Cap‐seq datasets enabled us to annotate the primary TSSs for miRNA genes with high resolution. Special class of 5′‐capped pre‐miRNAs have been identified in both C. elegans and mouse. The capping patter of miRNAs in a cluster indicate t hat clustered miRNA transcripts probably undergo a re‐capping procedure during the microprocessor cleavage process.

Precise mapping of the transcription start sites of human microRNAs using DROSHA knockout cells.

BackgroundThe expression of microRNAs (miRNAs) is primarily regulated during their transcription. However, the transcriptional regulation of miRNA genes has not been studied extensively owing to the lack of sufficient information about the promoters and transcription start sites of most miRNAs.ResultsIn this study, we identified the transcription start sites of human primary miRNAs (pri-miRNAs) using DROSHA knockout cells. DROSHA knockout resulted in increased accumulation of pri-miRNAs and facilitated the precise mapping of their 5′ end nucleotides using the rapid amplification of cDNA ends (RACE) technique. By analyzing the promoter region encompassing the transcription start sites of miRNAs, we found that the unrelated miRNAs in their sequences have many common elements in their promoters for binding the same transcription factors. Moreover, by analyzing intronic miRNAs, we also obtained comprehensive evidence that miRNA-harboring introns are spliced more slowly than other introns.ConclusionsThe precisely mapped transcription start sites of pri-miRNAs, and the list of transcription factors for pri-miRNAs regulation, will be valuable resources for future studies to understand the regulatory network of miRNAs.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-3252-7) contains supplementary material, which is available to authorized users.

Transcriptional, post-transcriptional and chromatin-associated regulation of pri-miRNAs, pre-miRNAs and moRNAs.

MicroRNAs (miRNAs) play a major role in the post-transcriptional regulation of target genes, especially in development and differentiation. Our understanding about the transcriptional regulation of miRNA genes is limited by inadequate annotation of primary miRNA (pri-miRNA) transcripts. Here, we used CAGE-seq and RNA-seq to provide genome-wide identification of the pri-miRNA core promoter repertoire and its dynamic usage during zebrafish embryogenesis. We assigned pri-miRNA promoters to 152 precursor-miRNAs (pre-miRNAs), the majority of which were supported by promoter associated post-translational histone modifications (H3K4me3, H2A.Z) and RNA polymerase II (RNAPII) occupancy. We validated seven miR-9 pri-miRNAs by in situ hybridization and showed similar expression patterns as mature miR-9. In addition, processing of an alternative intronic promoter of miR-9–5 was validated by 5′ RACE PCR. Developmental profiling revealed a subset of pri-miRNAs that are maternally inherited. Moreover, we show that promoter-associated H3K4me3, H2A.Z and RNAPII marks are not only present at pri-miRNA promoters but are also specifically enriched at pre-miRNAs, suggesting chromatin level regulation of pre-miRNAs. Furthermore, we demonstrated that CAGE-seq also detects 3′-end processing of pre-miRNAs on Drosha cleavage site that correlates with miRNA-offset RNAs (moRNAs) production and provides a new tool for detecting Drosha processing events and predicting pre-miRNA processing by a genome-wide assay.

Myostatin regulates miR-431 expression via the Ras-Mek-Erk signaling pathway

MicroRNAs (miRNAs) play critical regulatory roles in controlling myogenic development both in vitro and in vivo; however, the molecular mechanisms underlying transcriptional regulation of miRNA genes in skeletal muscle cells are largely unknown. Here, using a microarray hybridization approach, we identified myostatin-regulated miRNA genes in skeletal muscle tissues by systematically searching miRNAs that are differentially expressed between wild-type and myostatin-null mice during development. We found that 116 miRNA genes were differentially expressed in muscles between these mice across different developmental stages. We further characterized myostatin-regulated miR-431 was upregulated in skeletal muscle tissues of myostatin-null mice. In functional studies, we found that overexpression of miR-431 in C2C12 myoblast cells attenuated myostatin-induced suppression of myogenic differentiation. Mechanistic studies further demonstrated that myostatin acted through the Ras-Mek-Erk signaling pathway to transcriptionally regulate miR-431 expression C2C12 cells. Our findings provide new insight into the mechanisms underlying transcriptional regulation of miRNA genes by myostatin during skeletal muscle development.

Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.

BackgroundMicroRNAs (miRNAs) simultaneously target many transcripts through partial complementarity binding, and have emerged as a key type of post-transcriptional regulator for gene expression. How miRNA accomplishes its pleiotropic effects largely depends on its expression and its target repertoire. Previous studies discovered thousands of miRNAs and numerous miRNA target genes mainly through computation and prediction methods which produced high rates of false positive prediction. The development of Argonaute cross-linked immunoprecipitation coupled with high-throughput sequencing (CLIP-Seq) provides a system to effectively determine miRNA target genes. Likewise, the accuracy of dissecting the transcriptional regulation of miRNA genes has been greatly improved by chromatin immunoprecipitation of the transcription factors coupled with sequencing (ChIP-Seq). Elucidation of the miRNA target repertoire will provide an in-depth understanding of the functional roles of microRNA pathways. To reliably reconstruct a miRNA-mediated regulatory network, we established a computational framework using publicly available, sequence-based transcription factor-miRNA databases, including ChIPBase and TransmiR for the TF-miRNA interactions, along with miRNA-target databases, including miRTarBase, TarBase and starBase, for the miRNA-target interactions. We applied the computational framework to elucidate the miRNA-mediated regulatory network in the Mir122a-/- mouse model, which has an altered transcriptome and progressive liver disease.ResultsWe applied our computational framework to the expression profiles of miRNA/mRNA of Mir122a-/- mutant mice and wild-type mice. The miRNA-mediated network involves 40 curated TFs contributing to the aberrant expression of 65 miRNAs and 723 curated miRNA target genes, of which 56% was found in the differentially-expressed genes of Mir122a--mice. Hence, the regulatory network disclosed previously-known and also many previously-unidentified miRNA-mediated regulations in mutant mice. Moreover, we demonstrate that loss of imprinting at the chromosome 12qF1 region is associated with miRNA overexpression in human hepatocellular carcinoma and stem cells, suggesting initiation of precancerous changes in young mice deficient in miR-122. A group of 9 miRNAs was found to share miR-122 target genes, indicating synergy between miRNAs and target genes by way of multiplicity and cooperativity.ConclusionsThe study provides significant insight into miRNA-mediated regulatory networks. Based on experimentally verified data, this network is highly reliable and effective in revealing previously-undetermined disease-associated molecular mechanisms. This computational framework can be applied to explore the significant TF-miRNA-miRNA target interactions in any complex biological systems with high degrees of confidence.

Large-scale investigation of human TF-miRNA relations based on coexpression profiles.

Noncoding, endogenous microRNAs (miRNAs) are fairly well known for regulating gene expression rather than protein coding. Dysregulation of miRNA gene, either upregulated or downregulated, may lead to severe diseases or oncogenesis, especially when the miRNA disorder involves significant bioreactions or pathways. Thus, how miRNA genes are transcriptionally regulated has been highlighted as well as target recognition in recent years. In this study, a large-scale investigation of novel cis- and trans-elements was undertaken to further determine TF-miRNA regulatory relations, which are necessary to unravel the transcriptional regulation of miRNA genes. Based on miRNA and annotated gene expression profiles, the term “coTFBS” was introduced to detect common transcription factors and the corresponding binding sites within the promoter regions of each miRNA and its coexpressed annotated genes. The computational pipeline was successfully established to filter redundancy due to short sequence motifs for TFBS pattern search. Eventually, we identified more convinced TF-miRNA regulatory relations for 225 human miRNAs. This valuable information is helpful in understanding miRNA functions and provides knowledge to evaluate the therapeutic potential in clinical research. Once most expression profiles of miRNAs in the latest database are completed, TF candidates of more miRNAs can be explored by this filtering approach in the future.

Transcriptional regulation of mammalian miRNA genes

MicroRNAs (miRNAs) are members of a growing family of non-coding transcripts, 21–23 nucleotides long, which regulate a diverse collection of biological processes and various diseases by RNA-mediated gene-silencing mechanisms. While currently many studies focus on defining the regulatory functions of miRNAs, few are directed towards how miRNA genes are themselves transcriptionally regulated. Recent studies of miRNA transcription have elucidated RNA polymerase II as the major polymerase of miRNAs, however, little is known of the structural features of miRNA promoters, especially those of mammalian miRNAs. Here, we review the current literature regarding features conserved among miRNA promoters useful for their detection and the current novel methodologies available to enable researchers to advance our understanding of the transcriptional regulation of miRNA genes.

Binding of NF-kappaB p65 subunit to the promoter elements is involved in LPS-induced transactivation of miRNA genes in human biliary epithelial cells

The majority of human miRNA genes is transcribed by polymerase II and can be classified as class II genes similar to protein-coding genes. Whereas current research on miRNAs has focused on the physiological and pathological functions, the molecular mechanisms underlying their transcriptional regulation are largely unknown. We recently reported that lipopolysaccharide (LPS) alters mature miRNA expression profile in human biliary epithelial cells. In this study, we tested the role of transcription factor NF-κB in LPS-induced transcription of select miRNA genes. Of the majority of LPS-up-regulated mature miRNAs in cultured human biliary epithelial cells, potential NF-κB binding sites were identified in the putative promoter elements of their corresponding genes. Inhibition of NF-κB activation by SC-514, an IKK2 inhibitor, blocked LPS-induced up-regulation of a subset of pri-miRNAs, including pri-miR-17-92, pri-miR-125b-1, pri-miR-21, pri-miR-23b-27b-24-1, pri-miR-30b, pri-miR-130a and pri-miR-29a. Moreover, direct binding of NF-κB p65 subunit to the promoter elements of mir-17-92, mir-125b-1, mir-21, mir-23b-27b-24-1, mir-30b and mir-130a genes was identified by chromatin immunoprecipitation analysis and confirmed by the luciferase reporter assay. Thus, a subset of miRNA genes is regulated in human biliary epithelial cells through NF-κB activation induced by LPS, suggesting a role of the NF-κB pathway in the transcriptional regulation of miRNA genes.

Genomic analysis of rice microRNA promoters and clusters

MicroRNAs (miRNAs) are endogenous single-stranded non-coding small RNAs with a length of about 21 nt, that negatively regulate development and stresses. Rice miRNAs are representative of the monocot miRNAs, and many of them are non-conserved in Arabidopsis and the other plant species. Previous studies have shown that a majority of plant miRNAs are expressed from independent transcription units, whereas some others are transcribed with their host genes. Despite of the fact that a growing number of rice miRNAs are discovered, little is known about the transcriptional regulation of miRNA genes. In this study, we performed genomic analysis of rice miRNA transcripts surrounding the regions of promoter/transcription start site (TSS) and TATA-box, and organization of miRNA clusters. We detected 249 promoters for 212 rice pre-miRNA sequences via bioinformatics approach and found that the conserved rice miRNA genes have a greater proportion of promoters than the non-conserved miRNA genes. We further globally analyzed the genomic organization of pri-miRNAs and found that 52 rice miRNA genes appear in 18 clusters. Alignment of the miRNA sequences in these clusters shows a number of miRNA paralogs within the cluster. The data obtained may aid our understanding of the specific sequences upstream of pre-miRNAs and the functional implications of miRNA clusters in rice plants.