Papers - Iwasaki, Yuka

Systems Biology Reveals MicroRNA-Mediated Gene Regulation

Watanabe, Y. and Kanai, A.

Front Genet 2   29 2011

ISSN  1664-8021

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MicroRNAs (miRNAs) are members of the small non-coding RNAs, which are principally known for their functions as post-transcriptional regulators of target genes. Regulation by miRNAs is triggered by the translational repression or degradation of their complementary target messenger RNAs (mRNAs). The growing number of reported miRNAs and the estimate that hundreds or thousands of genes are regulated by them suggest a magnificent gene regulatory network in which these molecules are embedded. Indeed, recent reports have suggested critical roles for miRNAs in various biological functions, such as cell differentiation, development, oncogenesis, and the immune responses, which are mediated by systems-wide changes in gene expression profiles. Therefore, it is essential to analyze this complex regulatory network at the transcriptome and proteome levels, which should be possible with approaches that include both high-throughput experiments and computational methodologies. Here, we introduce several systems-level approaches that have been applied to miRNA research, and discuss their potential to reveal miRNA-guided gene regulatory systems and their impacts on biological functions.

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Computational prediction and experimental validation of evolutionarily conserved microRNA target genes in bilaterian animals

Takane, K., Fujishima, K., Watanabe, Y., Sato, A., Saito, N., Tomita, M. and Kanai, A.

BMC Genomics 11   101 2010.02

ISSN  1471-2164

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BACKGROUND: In many eukaryotes, microRNAs (miRNAs) bind to complementary sites in the 3'-untranslated regions (3'-UTRs) of target messenger RNAs (mRNAs) and regulate their expression at the stage of translation. Recent studies have revealed that many miRNAs are evolutionarily conserved; however, the evolution of their target genes has yet to be systematically characterized. We sought to elucidate a set of conserved miRNA/target-gene pairs and to analyse the mechanism underlying miRNA-mediated gene regulation in the early stage of bilaterian evolution. RESULTS: Initially, we extracted five evolutionarily conserved miRNAs (let-7, miR-1, miR-124, miR-125/lin-4, and miR-34) among five diverse bilaterian animals. Subsequently, we designed a procedure to predict evolutionarily conserved miRNA/target-gene pairs by introducing orthologous gene information. As a result, we extracted 31 orthologous miRNA/target-gene pairs that were conserved among at least four diverse bilaterian animals; the prediction set showed prominent enrichment of orthologous miRNA/target-gene pairs that were verified experimentally. Approximately 84% of the target genes were regulated by three miRNAs (let-7, miR-1, and miR-124) and their function was classified mainly into the following categories: development, muscle formation, cell adhesion, and gene regulation. We used a reporter gene assay to experimentally verify the downregulation of six candidate pairs (out of six tested pairs) in HeLa cells. CONCLUSIONS: The application of our new method enables the identification of 31 miRNA/target-gene pairs that were expected to have been regulated from the era of the common bilaterian ancestor. The downregulation of all six candidate pairs suggests that orthologous information contributed to the elucidation of the primordial set of genes that has been regulated by miRNAs; it was also an efficient tool for the elimination of false positives from the predicted candidates. In conclusion, our study identified potentially important miRNA-target pairs that were evolutionarily conserved throughout diverse bilaterian animals and that may provide new insights into early-stage miRNA functions.

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Perspective in the evolution of human microRNAs: copy number expansion and acquisition of target gene specialization

Watanabe, Y., Tomita, M. and Kanai, A.

Prog Theor Phys Suppl 173   219 - 228 2008

ISSN  0375-9687

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A novel class of small, noncoding RNAs called microRNAs (miRNAs) was recently identified, and up to 20%–30% of human genes are said to be regulated by the members of this class of RNA. miRNAs regulate their target genes by imperfect binding to the 3′ untranslated region (UTR) of the gene transcript, and computational predictions of the binding between miRNAs and target gene transcripts have been performed in order to determine which genes are regulated by these RNAs. Phylogenetic analysis has also been used as a powerful tool to predict miRNA target genes. Much emphasis has therefore been placed on studying the phylogenetic conservation and evolution of this novel type of gene regulator, although there still is much that is not known. Here, we propose a hypothesis of how human miRNAs optimized their gene regulation by adjusting their transcript levels, and how they evolved through specific selection of their target genes. We analyzed the correlation between the conservation of miRNAs among species and three features: the number of transcripts, the formation of duplicates, and the number of target genes. The number of miRNA transcripts and the formation of duplicates increased as the conservation rate increased. In contrast, the number of target genes decreased as the conservation rate increased. Therefore, we propose that miRNAs gradually gain an ability to regulate specific target genes when such regulation has a positive effect on the organism. As its pool of target genes is refined, the ability of an miRNA to regulate the genes may be stabilized by an increase in the miRNA transcript number and the formation of duplicates.

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Computational analysis of microRNA-mediated antiviral defense in humans

Watanabe, Y., Kishi, A., Yachie, N., Kanai, A. and Tomita, M.

FEBS Lett 581 ( 24 ) 4603 - 10 2007.10

ISSN  0014-5793

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Recent studies have proposed the interesting perspective that viral gene expression is downregulated by host microRNAs (miRNAs), small non-coding RNAs well known as post-transcriptional gene regulators. We computationally predicted human miRNA target sites within 228 human-infecting and 348 invertebrate-infecting virus genomes, and we observed that human-infecting viruses were more likely than invertebrate-infecting ones to be targeted by human miRNAs. We listed 62 possible human miRNA-targeted viruses from 6 families, most of which consisted of single-stranded RNA viruses. These results suggest that miRNAs extensively mediate antiviral defenses in humans.

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Computational methods for microRNA target prediction

Watanabe, Y., Tomita, M. and Kanai, A.

Methods Enzymol 427   65 - 86 2007

ISSN  0076-6879

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The discovery of microRNAs (miRNAs) has introduced a new paradigm into gene regulatory systems. Large numbers of miRNAs have been identified in a wide range of species, and most of them are known to downregulate translation of messenger RNAs (mRNAs) via imperfect binding of the miRNA to a specific site or sites in the 3' untranslated region (UTR) of the mRNA. Identification of genes targeted by miRNAs is widely believed to be an important step toward understanding the role of miRNAs in gene regulatory networks. As part of the effort to understand interactions between miRNAs and their targets, computational algorithms have been developed based on observed rules for features such as the degree of hybridization between the two RNA molecules. These in silico approaches provide important tools for miRNA target detection, and together with experimental validation, help to reveal regulated targets of miRNAs. Here, we summarize the knowledge that has been accumulated about the principles of target recognition by miRNAs and the currently available computational methodologies for prediction of miRNA target genes.

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Computational analysis of microRNA targets in Caenorhabditis elegans

Watanabe, Y., Yachie, N., Numata, K., Saito, R., Kanai, A. and Tomita, M.

Gene 365   2 - 10 2006.01

ISSN  0378-1119

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MicroRNAs (miRNAs) are endogenous approximately 22-nucleotide (nt) non-coding RNAs that post-transcriptionally regulate the expression of target genes via hybridization to target mRNA. Using known pairs of miRNA and target mRNA in Caenorhabditis elegans, we first performed computational analysis for specific hybridization patterns between these two RNAs. We counted the numbers of perfectly complementary dinucleotide sequences and calculated the free energy within complementary base pairs of each dinucleotide, observed by sliding a 2-nt window along all nucleotides of the miRNA-mRNA duplex. We confirmed not only strong base pairing within the 5' region of miRNAs (nts 1-8) in C. elegans, but also the required mismatch within the central region (nt 9 or nt 10), and we found weak binding within the 3' region (nts 13-14). We also predicted 687 possible miRNA target transcripts, many of which are thought to be involved in C. elegans development, by combining the above mentioned hybridization tendency with the following analyses: (1) prediction of the miRNA-mRNA duplex with free-energy minimization; (2) identification of the complementary pattern within the miRNA-mRNA duplex; (3) conservation of target sites between C. elegans and C. briggsae, a related soil nematode; and (4) extraction of mRNA candidates with multiple target sites. Rigorous tests using shuffled miRNA controls supported these predictions. Our results suggest that miRNAs recognize their target mRNAs by their hybridization pattern and that many target mRNAs may be regulated through a combination of several specific miRNA target sites in C. elegans.

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