The miR-15/107 Group of MicroRNA Genes: Evolutionary Biology, Cellular Functions, and Roles in Human Diseases

The miR-15/107 group of microRNA (miRNA) gene is increasingly appreciated to serve key functions in humans. These miRNAs regulate gene expression involved in cell division, metabolism, stress response, and angiogenesis in vertebrate species. The miR-15/107 group has also been implicated in human cancers, cardiovascular disease and neurodegenerative disease, including Alzheimer's disease. Here we provide an overview of the following: (1) the evolution of miR-15/107 group member genes; (2) the expression levels of miRNAs in mammalian tissues; (3) evidence for overlapping gene-regulatory functions by different miRNAs; (4) the normal biochemical pathways regulated by miR-15/107 group miRNAs; and (5) the roles played by these miRNAs in human diseases. Membership in this group is defined based on sequence similarity near the mature miRNAs' 5′ end: all include the sequence AGCAGC. Phylogeny of this group of miRNAs is incomplete; thus, a definitive taxonomic classification (e.g., designation as a “superfamily”) is currently not possible. While all vertebrates studied to date express miR-15a, miR-15b, miR-16, miR-103, and miR-107, mammals alone are known to express miR-195, miR-424, miR-497, miR-503, and miR-646. Multiple different miRNAs in the miR-15/107 group are expressed at moderate to high levels in human tissues. We present data on the expression of all known miR-15/107 group members in human cerebral cortical gray matter and white matter using new miRNA profiling microarrays. There is extensive overlap in the mRNAs targeted by miR-15/107 group members. We show new data from cultured H4 cancer cells that demonstrate similarities in mRNAs targeted by miR-16 and miR-103 and also support the importance of the mature miRNAs' 5′ seed region in mRNA target recognition. In conclusion, the miR-15/107 group of miRNA genes is a fascinating topic of study for evolutionary biologists, miRNA biochemists, and clinically oriented translational researchers alike.     

TDP-43 regulates cancer-associated microRNAs

Aberrant regulation of miRNA genes contributes to pathogenesis of a wide range of human diseases, including cancer. The TAR DNA binding protein 43 (TDP-43), a RNA/DNA binding protein associated with neurodegeneration, is involved in miRNA biogenesis. Here, we systematically examined miRNAs regulated by TDP-43 using RNA-Seq coupled with an siRNA-mediated knockdown approach. TDP-43 knockdown affected the expression of a number of miRNAs. In addition, TDP-43 down-regulation led to alterations in the patterns of different isoforms of miRNAs (isomiRs) and miRNA arm selection, suggesting a previously unknown role of TDP-43 in miRNA processing. A number of TDP-43 associated miRNAs, and their candidate target genes, are associated with human cancers. Our data reveal highly complex roles of TDP-43 in regulating different miRNAs and their target genes. Our results suggest that TDP-43 may promote migration of lung cancer cells by regulating miR-423-3p. In contrast, TDP-43 increases miR-500a-3p expression and binds to the mature miR-500a-3p sequence. Reduced expression of miR-500a-3p is associated with poor survival of lung cancer patients, suggesting that TDP-43 may have a suppressive role in cancer by regulating miR-500a-3p. Cancer-associated genes LIF and PAPPA are possible targets of miR-500a-3p. Our work suggests that TDP-43-regulated miRNAs may play multifaceted roles in the pathogenesis of cancer.     

MiR-26a modulates extracellular matrix homeostasis in cartilage

MicroRNAs (miRNAs) may represent new therapeutic targets for bone and joint diseases. We hypothesized that several cartilage-specific proteins are targeted by a single miRNA and used bioinformatics to identify a miRNA that can modulate extracellular matrix (ECM) homeostasis in cartilage.Bioinformatic analysis of miRNA binding sequences in the 3′-untranslated region (3′-UTR) of target genes was performed to identify a miRNA that could bind to the 3′-UTR of cartilage matrix-related genes. MiRNA expression was studied by quantitative PCR of microdissected growth plate cartilage and binding to the 3′-UTR sequences was analyzed by luciferase interaction studies. Levels of proteins encoded by target genes in cultures of miR-26a mimic- or inhibitor-transfected chondrocytes were determined by FACS or immunoblot analysis.The complementary binding sequence of miR-26a and miR-26b was found in the 3′-UTR of the prehypertrophic/hypertrophic-specific genes Cd200, Col10a1 as well as Col9a1 and Ctgf. Both miRNAs were expressed in cartilage and only miR-26a was downregulated in hypertrophic growth plate cartilage. MiR-26a could interact with the 3′-UTR of Cd200 and Col10a1 in luciferase binding studies, but not with Col9a1 and Ctgf. However, protein expression of target genes and the ECM adaptor genes matrilin-3 and COMP was significantly altered in miR-26a mimic- or inhibitor-transfected chondrocytes, whereas the abundance of the cell surface receptor for insulin was not changed. In conclusion, miR-26a suppresses hypertrophic and ECM adaptor protein production. Dysregulation of miR-26a expression could contribute to ECM changes in cartilage diseases and this miRNA may therefore act as a therapeutic target.     

Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method

Background

MicroRNAs (miRNAs) are a class of endogenous small regulatory RNAs. Identifications of the dys-regulated or perturbed miRNAs and their key target genes are important for understanding the regulatory networks associated with the studied cellular processes. Several computational methods have been developed to infer the perturbed miRNA regulatory networks by integrating genome-wide gene expression data and sequence-based miRNA-target predictions. However, most of them only use the expression information of the miRNA direct targets, rarely considering the secondary effects of miRNA perturbation on the global gene regulatory networks.

Results

We proposed a network propagation based method to infer the perturbed miRNAs and their key target genes by integrating gene expressions and global gene regulatory network information. The method used random walk with restart in gene regulatory networks to model the network effects of the miRNA perturbation. Then, it evaluated the significance of the correlation between the network effects of the miRNA perturbation and the gene differential expression levels with a forward searching strategy. Results show that our method outperformed several compared methods in rediscovering the experimentally perturbed miRNAs in cancer cell lines. Then, we applied it on a gene expression dataset of colorectal cancer clinical patient samples and inferred the perturbed miRNA regulatory networks of colorectal cancer, including several known oncogenic or tumor-suppressive miRNAs, such as miR-17, miR-26 and miR-145.

Conclusions

Our network propagation based method takes advantage of the network effect of the miRNA perturbation on its target genes. It is a useful approach to infer the perturbed miRNAs and their key target genes associated with the studied biological processes using gene expression data.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2105-15-255) contains supplementary material, which is available to authorized users.     

MicroRNA regulation and the variability of human cortical gene expression

Understanding the driving forces of gene expression variation within human populations will provide important insights into the molecular basis of human phenotypic variation. In the genome, the gene expression variability differs among genes, and at present, most research has focused on identifying the genetic variants responsible for the within population gene expression variation. However, little is known about whether microRNAs (miRNAs), which are small noncoding RNAs modulating expression of their target genes, could have impact on the variability of gene expression. Here we demonstrate that miRNAs likely lead to the difference of expression variability among genes. With the use of the genome-wide expression data in 193 human brain samples, we show that the increased variability of gene expression is concomitant with the increased number of the miRNA seeds interacting with the target genes, suggesting a direct influence of miRNA on gene expression variability. Compared with the non-miRNA-target genes, genes targeted by more than two miRNA seeds have increased expression variability, independent of the miRNA types. In addition, single-nucleotide polymorphisms (SNPs) located in the miRNA binding sites could further increase the gene expression variability of the target genes. We propose that miRNAs are one of the driving forces causing expression variability in the human genome.     

Differential expression of miR-195 in esophageal squamous cell carcinoma and miR-195 expression inhibits tumor cell proliferation and invasion by targeting of Cdc42

MicroRNAs (miRNA) have played an important role in carcinogenesis. In this study, Agilent miRNA microarray was used to identify differentially expressed miRNAs in esophageal squamous cell carcinoma (ESCC) tissues and miR-195 was downregulated in ESCC compared with normal esophageal tissues. Moreover, Cdc42 was confirmed as target gene of miR-195. Ectopic expression of miR-195 in ESCC cells significantly downregulated Cdc42 by directly binding its 3′ untranslated regions, and induced G1 cell cycle arrest, leading to a significant decrease in cell growth, migration, and invasion in vitro. Therefore, our findings demonstrated that miR-195 may act as a tumor suppressor in ESCC by targeting Cdc42.     

XB130, a New Adaptor Protein,Regulates Expression of Tumor Suppressive MicroRNAs in Cancer Cells

XB130, a novel adaptor protein, promotes cell growth by controlling expression of many related genes. MicroRNAs (miRNAs), which are frequently mis-expressed in cancer cells, regulate expression of targeted genes. In this present study, we aimed to explore the oncogenic mechanism of XB130 through miRNAs regulation. We analyzed miRNA expression in XB130 short hairpin RNA (shRNA) stably transfected WRO thyroid cancer cells by a miRNA array assay, and 16 miRNAs were up-regulated and 22 miRNAs were down-regulated significantly in these cells, in comparison with non-transfected or negative control shRNA transfected cells. We chose three of the up-regulated miRNAs (miR-33a, miR-149 and miR-193a-3p) and validated them by real-time qRT-PCR. Ectopic overexpression of XB130 suppressed these 3 miRNAs in MRO cells, a cell line with very low expression of XB130. Furthermore, we transfected miR mimics of these 3 miRNAs into WRO cells. They negatively regulated expression of oncogenes (miR-33a: MYC, miR-149: FOSL1, miR-193a-3p: SLC7A5), by targeting their 3′ untranslated region, and reduced cell growth. Our results suggest that XB130 could promote growth of cancer cells by regulating expression of tumor suppressive miRNAs and their targeted genes.     

Human miR-3145 inhibits influenza A viruses replication by targeting and silencing viral PB1 gene

MicroRNAs (miRNAs) play an important role in the regulation of gene expression and are involved in many cellular processes including inhibition of viral replication in infected cells. In this study, three subtypes of influenza A viruses (pH1N1, H5N1 and H3N2) were analyzed to identify candidate human miRNAs targeting and silencing viral genes expression. Candidate human miRNAs were predicted by miRBase and RNAhybrid based on minimum free energy (MFE) and hybridization patterns between human miRNAs and viral target genes. In silico analysis presented 76 miRNAs targeting influenza A viruses, including 70 miRNAs that targeted specific subtypes (21 for pH1N1, 27 for H5N1 and 22 for H3N2) and 6 miRNAs (miR-216b, miR-3145, miR-3682, miR-4513, miR-4753 and miR-5693) that targeted multiple subtypes of influenza A viruses. Interestingly, miR-3145 is the only candidate miRNA targeting all three subtypes of influenza A viruses. The miR-3145 targets to PB1 encoding polymerase basic protein 1, which is the main component of the viral polymerase complex. The silencing effect of miR-3145 was validated by 3′-UTR reporter assay and inhibition of influenza viral replication in A549 cells. In 3′-UTR reporter assay, results revealed that miR-3145 triggered significant reduction of the luciferase activity. Moreover, expression of viral PB1 genes was also inhibited considerably (P value < 0.05) in viral infected cells expressing mimic miR-3145. In conclusion, this study demonstrated that human miR-3145 triggered silencing of viral PB1 genes and lead to inhibition of multiple subtypes of influenza viral replication. Therefore, hsa-miR-3145 might be useful for alternative treatment of influenza A viruses in the future.