Computational prediction of intronic microRNA targets using host gene expression reveals novel regulatory mechanisms

Approximately half of known human miRNAs are located in the introns of protein coding genes. Some of these intronic miRNAs are only expressed when their host gene is and, as such, their steady state expression levels are highly correlated with those of the host gene's mRNA. Recently host gene expression levels have been used to predict the targets of intronic miRNAs by identifying other mRNAs that they have consistent negative correlation with. This is a potentially powerful approach because it allows a large number of expression profiling studies to be used but needs refinement because mRNAs can be targeted by multiple miRNAs and not all intronic miRNAs are co-expressed with their host genes.Here we introduce InMiR, a new computational method that uses a linear-Gaussian model to predict the targets of intronic miRNAs based on the expression profiles of their host genes across a large number of datasets. Our method recovers nearly twice as many true positives at the same fixed false positive rate as a comparable method that only considers correlations. Through an analysis of 140 Affymetrix datasets from Gene Expression Omnibus, we build a network of 19,926 interactions among 57 intronic miRNAs and 3,864 targets. InMiR can also predict which host genes have expression profiles that are good surrogates for those of their intronic miRNAs. Host genes that InMiR predicts are bad surrogates contain significantly more miRNA target sites in their 3' UTRs and are significantly more likely to have predicted Pol II and Pol III promoters in their introns.We provide a dataset of 1,935 predicted mRNA targets for 22 intronic miRNAs. These prediction are supported both by sequence features and expression. By combining our results with previous reports, we distinguish three classes of intronic miRNAs: Those that are tightly regulated with their host gene; those that are likely to be expressed from the same promoter but whose host gene is highly regulated by miRNAs; and those likely to have independent promoters.     

miRNA regulatory circuits in ES cells differentiation: a chemical kinetics modeling approach

MicroRNAs (miRNAs) play an important role in gene regulation for Embryonic Stem cells (ES cells), where they either down-regulate target mRNA genes by degradation or repress protein expression of these mRNA genes by inhibiting translation. Well known tables TargetScan and miRanda may predict quite long lists of potential miRNAs inhibitors for each mRNA gene, and one of our goals was to strongly narrow down the list of mRNA targets potentially repressed by a known large list of 400 miRNAs. Our paper focuses on algorithmic analysis of ES cells microarray data to reliably detect repressive interactions between miRNAs and mRNAs. We model, by chemical kinetics equations, the interaction architectures implementing the two basic silencing processes of miRNAs, namely "direct degradation" or "translation inhibition" of targeted mRNAs. For each pair (M,G) of potentially interacting miRMA gene M and mRNA gene G, we parameterize our associated kinetic equations by optimizing their fit with microarray data. When this fit is high enough, we validate the pair (M,G) as a highly probable repressive interaction. This approach leads to the computation of a highly selective and drastically reduced list of repressive pairs (M,G) involved in ES cells differentiation.     

MiR-3120 is a mirror microRNA that targets heat shock cognate protein 70 and auxilin messenger RNAs and regulates clathrin vesicle uncoating

We show that a single gene locus gives rise to two fully processed and functional miRNAs, i.e. that due to imperfect base pairing, two distinct microRNAs (miRNAs) can be produced from the fully complementary DNA strands. The antisense strand encodes miR-214, which is transcribed by its own promoter, whereas a novel miRNA, miR-3120, is co-expressed with its host gene mRNA. We also found that miR-3120 regulates important aspects of cellular function that are similar to that of its host gene, dynamin-3. miR-3120 was found to be located in neuronal cell bodies and to target Hsc70 and auxilin, and its lentivirus-mediated expression inhibited the uncoating of clathrin-coated vesicles. Finally, mirror miRNAs are likely to represent a new group of miRNAs with complex roles in coordinating gene expression.     

siRNA, miRNA and HIV: promises and challenges

Small interfering RNA (siRNA) and microRNA (miRNA) are small RNAs of 18-25 nucleotides (nt) in length that play important roles in regulating gene expression. They are incorporated into an RNA-induced silencing complex (RISC) and serve as guides for silencing their corresponding target mRNAs based on complementary base-pairing. The promise of gene silencing has led many researchers to consider siRNA as an anti-viral tool. However, in long-term settings, many viruses appear to escape from this therapeutical strategy. An example of this may be seen in the case of human immunodeficiency virus type-1 (HIV-1) which is able to evade RNA silencing by either mutating the siRNA-targeted sequence or by encoding for a partial suppressor of RNAi (RNA interference). On the other hand, because miRNA targeting does not require absolute complementarity of base-pairing, mutational escape by viruses from miRNA-specified silencing may be more difficult to achieve. In this review, we discuss stratagems used by various viruses to avoid the cells' antiviral si/mi-RNA defenses and notions of how viruses might control and regulate host cell genes by encoding viral miRNAs (vmiRNAs).     

Microarray profiling of monocytic differentiation reveals miRNA-mRNA intrinsic correlation

MiRNAs (microRNAs) are small non-coding RNAs involved in mammalian gene expression of cellular processes including differentiation, apoptosis and cancer development. Both specific miRNAs and mRNAs have been identified during monocytic differentiation, but their interactions have not been fully characterized. Here we report that by genome-wide microarray analysis for U937 monocytic differentiation induced by TPA, a large number of miRNAs and mRNAs were differentially expressed, and by bioinformatics analysis could demonstrate that their functional pathway patterns overlap strongly. While expected negative correlation between the expression levels of miRNAs and their target mRNAs was seen, several positive correlations between miRNAs and host mRNAs were also observed, such as C13orf25/miR17, MCM7/miR93, and MGC14376/miR22. These microarray data were verified by quantitative RT-PCR, and the TPA-induced differentiation of U937 cells was confirmed by flow cytometric analysis. Our study suggests an intrinsic correlation between miRNAs and mRNAs underlying their interactions which would provide new insights for defining the mechanisms occurring during monocytic differentiation.     

Viral virulence protein suppresses RNA silencing-mediated defense but upregulates the role of microrna in host gene expression

Small interfering RNAs (siRNAs) and microRNAs (miRNAs) are processed by the ribonuclease Dicer from distinct precursors, double-stranded RNA (dsRNA) and hairpin RNAs, respectively, although either may guide RNA silencing via a similar complex. The siRNA pathway is antiviral, whereas an emerging role for miRNAs is in the control of development. Here, we describe a virulence factor encoded by turnip yellow mosaic virus, p69, which suppresses the siRNA pathway but promotes the miRNA pathway in Arabidopsis thaliana. p69 suppression of the siRNA pathway is upstream of dsRNA and is as effective as genetic mutations in A. thaliana genes involved in dsRNA production. Possibly as a consequence of p69 suppression, p69-expressing plants contained elevated levels of a Dicer mRNA and of miRNAs as well as a correspondingly enhanced miRNA-guided cleavage of two host mRNAs. Because p69-expressing plants exhibited disease-like symptoms in the absence of viral infection, our findings suggest a novel mechanism for viral virulence by promoting the miRNA-guided inhibition of host gene expression.     

病毒miRNA与免疫逃逸

微小RNA（microRNA,miRNA）是一种非编码的小分子RNA,长度一般在22 nt左右,通过与mRNA 3＇UTR的特异性结合介导转录后调控过程。现已鉴定出的miRNA涵盖了从植物到人类的多个物种,并参与了调节生长、免疫、凋亡等多种生命活动。最近发现,DNA病毒感染宿主时也能编码产生miRNA,并在病毒免疫逃逸中扮演着重要角色。病毒感染是一个复杂的过程,病毒需要逃脱免疫系统才能对宿主产生持续性感染,而病毒miRNA能调控宿主和自身基因表达,帮助病毒感染宿主,且因其本身没有免疫原性,而成为病毒逃避免疫应答的重要工具,但其中的分子机制尚不十分清楚。该文就病毒miRNA如何调控病毒自身与宿主基因进行免疫逃逸的近期研究作一综述。