Isolation and identification of miRNAs in Jatropha curcas

MicroRNAs (miRNAs) are small noncoding RNAs that play crucial regulatory roles by targeting mRNAs for silencing. To identify miRNAs in Jatropha curcas L, a bioenergy crop, cDNA clones from two small RNA libraries of leaves and seeds were sequenced and analyzed using bioinformatic tools. Fifty-two putative miRNAs were found from the two libraries, among them six were identical to known miRNAs and 46 were novel. Differential expression patterns of 15 miRNAs in root, stem, leave, fruit and seed were detected using quantitative real-time PCR. Ten miRNAs were highly expressed in fruit or seed, implying that they may be involved in seed development or fatty acids synthesis in seed. Moreover, 28 targets of the isolated miRNAs were predicted from a jatropha cDNA library database. The miRNA target genes were predicted to encode a broad range of proteins. Sixteen targets had clear BLASTX hits to the Uniprot database and were associated with genes belonging to the three major gene ontology categories of biological process, cellular component, and molecular function. Four targets were identified for JcumiR004. By silencing JcumiR004 primary miRNA, expressions of the four target genes were up-regulated and oil composition were modulated significantly, indicating diverse functions of JcumiR004.     

Analyses of a Glycine max Degradome Library Identify microRNA Targets and MicroRNAs that Trigger Secondary SiRNA Biogenesis

Plant microRNAs (miRNAs) regulate gene expression mainly by guiding cleavage of target mRNAs. In this study, a degradome library constructed from different soybean (Glycine max (L.) Merr.) tissues was deep-sequenced. 428 potential targets of small interfering RNAs and 25 novel miRNA families were identified. A total of 211 potential miRNA targets, including 174 conserved miRNA targets and 37 soybean-specific miRNA targets, were identified. Among them, 121 targets were first discovered in soybean. The signature distribution of soybean primary miRNAs (pri-miRNAs) showed that most pri-miRNAs had the characteristic pattern of Dicer processing. The biogenesis of TAS3 small interfering RNAs (siRNAs) was conserved in soybean, and nine Auxin Response Factors were identified as TAS3 siRNA targets. Twenty-three miRNA targets produced secondary small interfering RNAs (siRNAs) in soybean. These targets were guided by five miRNAs: gma-miR393, gma-miR1508, gma-miR1510, gma-miR1514, and novel-11. Multiple targets of these secondary siRNAs were detected. These 23 miRNA targets may be the putative novel TAS genes in soybean. Global identification of miRNA targets and potential novel TAS genes will contribute to research on the functions of miRNAs in soybean.     

Macro effects of microRNAs in plants

MicroRNAs (miRNAs) are 20- to 22-nucleotide fragments that regulate expression of mRNAs that have complementary sequences. They are numerous and widespread among eukaryotes, being conserved throughout evolution. The few miRNAs that have been fully characterized were found in Caenorhabditis elegans and are required for development. Recently, a study of miRNAs isolated from Arabidopsis showed that here also developmental genes are putative regulatory targets. A role for miRNAs have in plant development is supported by the developmental phenotypes of mutations in the genes required for miRNA processing.     

Genome-wide circular RNA (circRNA) and mRNA profiling identify a circMET-miR-410-3p regulatory motif for cell growth in colorectal cancer

Circular RNA (circRNA) is a non-coding RNA molecule that lacks polyadenylated tails and is highly stable, abundant, and conserved in human cells. CircRNAs can serve as a competing endogenous RNA (ceRNA) to sponge microRNAs (miRNA) and block their effects on target mRNA expression. CircRNAs also have possible relevance to cancer and therefore may be considered as ideal biomarkers for monitoring cancer progression. Of the about 300,000 predicted human circRNAs, only a few have validated biological functions related to cancer. To better understand the ceRNA role of circRNAs in colorectal cancer (CRC), we performed genome-wide circRNA-based RNA-sequencing (RNA-Seq) on nine CRC tumor samples and their paired histologically normal adjacent tissue samples. By profiling the mRNA expression in the same patients, we further explored the expression correlation between circRNAs and mRNAs generated from the same parental gene. Focusing on the concordant differential expression between circRNAs and mRNAs, we substantially reduced the regulatory noise. In total, we identified 694 circRNA-mRNA pairs that were consistently up or downregulated between tumor and normal tissues. These 694 circRNA-mRNA pairs are from 182 protein-coding genes associated with hormone responses and chemotaxis. Of these 182 genes, 43 are downstream targets of three highly conserved miRNAs (miR-410-3p, miR-135a, and miR-30a). Interestingly, these 43 genes are highly mutated in another cohort from eight independent CRC studies, which have significant effects on patient survival time. Focusing on miR-410-3p and its target oncogene MET, we experimentally validated the ceRNA regulatory motif of circMET. Notably, circMET is substantially upregulated in CRC cell lines and could promote cell proliferation and growth. By confirming the regulatory relationship between miR-410-3p and circMET, we propose a new mechanism for the observed sustained activation of MET in CRC. In conclusion, our work identifies a novel regulatory role of circMET and provides a potential diagnostic biomarker for CRC.     

Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation

MicroRNAs (miRNAs) are approximately 22 nucleotide RNAs that negatively regulate the expression of protein-coding genes. In a present model of miRNA function in animals, miRNAs that form imperfect duplexes with their targets inhibit protein expression without affecting mRNA levels. Here, we report that in C. elegans, regulation by the let-7 miRNA results in degradation of its lin-41 target mRNA, despite the fact that its 3'UTR regulatory sequences can only partially base-pair with the miRNA. Furthermore, lin-14 and lin-28 are targets of the lin-4 miRNA, and we show that the mRNA levels for these protein-coding genes significantly decrease in response to lin-4 expression. This study reveals that mRNAs containing partial miRNA complementary sites can be targeted for degradation in vivo, raising the possibility that regulation at the level of mRNA stability may be more common than previously appreciated for the miRNA pathway.     

Evolutionarily conserved function of a viral microRNA

MicroRNAs (miRNAs) are potent RNA regulators of gene expression. Some viruses encode miRNAs, most of unknown function. The majority of viral miRNAs are not conserved, and whether any have conserved functions remains unclear. Here, we report that two human polyomaviruses associated with serious disease in immunocompromised individuals, JC virus and BK virus, encode miRNAs with the same function as that of the monkey polyomavirus simian virus 40 miRNAs. These miRNAs are expressed late during infection to autoregulate early gene expression. We show that the miRNAs generated from both arms of the pre-miRNA hairpin are active at directing the cleavage of the early mRNAs. This finding suggests that despite multiple differences in the miRNA seed regions, the primary target (the early mRNAs) and function (the downregulation of early gene expression) are evolutionarily conserved among the primate polyomavirus-encoded miRNAs. Furthermore, we show that these miRNAs are expressed in individuals diagnosed with polyomavirus-associated disease, suggesting their potential as targets for therapeutic intervention.     

miRTar Hunter: A prediction system for identifying human microRNA target sites

MicroRNAs (miRNAs) are important regulators of gene expression and play crucial roles in many biological processes including apoptosis, differentiation, development, and tumorigenesis. Recent estimates suggest that more than 50% of human protein coding genes may be regulated by miRNAs and that each miRNA may bind to 300–400 target genes. Approximately 1,000 human miRNAs have been identified so far with each having up to hundreds of unique target mRNAs. However, the targets for a majority of these miRNAs have not been identified due to the lack of large-scale experimental detection techniques. Experimental detection of miRNA target sites is a costly and time-consuming process, even though identification of miRNA targets is critical to unraveling their functions in various biological processes. To identify miRNA targets, we developed miRTar Hunter, a novel computational approach for predicting target sites regardless of the presence or absence of a seed match or evolutionary sequence conservation. Our approach is based on a dynamic programming algorithm that incorporates more sequence-specific features and reflects the properties of various types of target sites that determine diverse aspects of complementarities between miRNAs and their targets. We evaluated the performance of our algorithm on 532 known human miRNA:target pairs and 59 experimentally-verified negative miRNA:target pairs, and also compared our method with three popular programs for 481 miRNA:target pairs. miRTar Hunter outperformed three popular existing algorithms in terms of recall and precision, indicating that our unique scheme to quantify the determinants of complementary sites is effective at detecting miRNA targets. miRTar Hunter is now available at http://203.230.194.162/~kbkim.     

星形细胞瘤生存预后相关miRNA-mRNA调控关系对筛选

利用GEO数据库中的芯片数据,筛选与星形细胞瘤生存预后相关的miRNA-mRNA调控关系对,为后续研究提供理论支持.下载芯片数据利用R语言进行差异表达分析,得到星形细胞瘤较正常组织表达显著改变的miRNA与mRNA;通过miRNA靶基因预测,将靶基因与差异表达mRNA取交集,明确mRNA与miRNA之间的关系;利用GE...