A challenge for miRNA: multiple isomiRs in miRNAomics

IsomiR expression patterns in canonical and Dicer‑independent microRNAs

Multiple microRNA (miRNA) variants, known as isomiRs, are extensively distributed in miRNA loci and predominantly derive from the alternative cleavage of Drosha/Dicer and 3′addition events. The present study aimed to investigate the expression patterns of multiple isomiRs in typical miRNA and Dicer-independent miRNA loci by conducting evolutionary and expression analysis using public datasets. Although different miRNA maturation processes exist, multiple isomiRs can be detected by similar expression distributions. However, isomiR expression in Dicer-independent miRNA loci tends to be at a moderate level, particularly for random distribution in the ends that are split by Dicer in the typical miRNA loci. Compared with the mature miRNA locus (dominant miRNA locus), the non-dominant miRNA locus indicates an expression distribution similar to that of the Dicer-independent miRNA locus. These results increase the understanding of multiple isomiRs in the progression of diseases.

Illumina Sequencing Reveals Aberrant Expression of MicroRNAs and Their Variants in Whitefish (Coregonus lavaretus) Liver after Exposure to Microcystin-LR

Molecular analyses show that challenging fish with microcystin-LR (MC-LR) causes perturbations of microRNA (miRNA) signaling. However, the significance and scope of these alterations is currently unknown. To address this issue, we studied miRNA gene expression in the liver of juvenile whitefish, C. lavaretus, during 28 days of exposure to a subacute dose of MC-LR (100 μg·kg^-1 body mass). Using genomic resources of Atlantic salmon (AGKD03), the mature miRNA library of Atlantic salmon (miRBase-21) and bioinformatics tools (sRNAbench), we discovered and annotated a total of 377 distinct mature miRNAs belonging to 93 families of evolutionary conserved miRNAs, as well as 24 novel mature miRNA candidates that were mapped to 14 distinct S. salar miRNA precursors. miRNA-Seq transcriptome profiling of liver tissues revealed differential miRNA expression in control and treated fish at 14 days (73 miRNAs were modulated) and at 28 days (83 miRNAs) of the treatment, subsequently validated by qPCR for nine selected differentially expressed miRNAs. Additional qPCR study confirmed the miRNA-Seq data and revealed consistent, aberrant miRNAs expression profile in the later phase of MC-LR hepatotoxicity (7–28 d). Functional annotation analysis revealed that the aberrantly expressed miRNAs have target genes involved in cytoskeletal remodeling, cell metabolism, cell cycle regulation and apoptosis; dysregulation of these processes in liver cells leads to cirrhosis and hepatocellular carcinoma in humans. To enable deeper insight into the molecular responses of liver cells in fish exposed to MC-LR, we expanded the miRNAome analysis by inclusion of miRNA variants (isomiRs) profiles, and we showed that the isomiR profiles of liver specific MiR122, and a few other miRNAs, correlated with MC-LR treatment. Given the importance of isomiRs for disease biology in mammals, we believe that further research focused on the miRNA isoforms will bring us closer to better understanding the molecular mechanisms of MC-LR hepatotoxicity.

Deep-sequence profiling of miRNAs and their target prediction in Monotropa hypopitys

Myco-heterotroph Monotropa hypopitys is a widely spread perennial herb used to study symbiotic interactions and physiological mechanisms underlying the development of non-photosynthetic plant. Here, we performed, for the first time, transcriptome-wide characterization of M. hypopitys miRNA profile using high throughput Illumina sequencing. As a result of small RNA library sequencing and bioinformatic analysis, we identified 55 members belonging to 40 families of known miRNAs and 17 putative novel miRNAs unique for M. hypopitys. Computational screening revealed 206 potential mRNA targets for known miRNAs and 31 potential mRNA targets for novel miRNAs. The predicted target genes were described in Gene Ontology terms and were found to be involved in a broad range of metabolic and regulatory pathways. The identification of novel M. hypopitys-specific miRNAs, some with few target genes and low abundances, suggests their recent evolutionary origin and participation in highly specialized regulatory mechanisms fundamental for non-photosynthetic biology of M. hypopitys. This global analysis of miRNAs and their potential targets in M. hypopitys provides a framework for further investigation of miRNA role in the evolution and establishment of non-photosynthetic myco-heterotrophs.

Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow

Small RNA-Seq has emerged as a powerful tool in transcriptomics, gene expression profiling and biomarker discovery. Sequencing cell-free nucleic acids, particularly microRNA (miRNA), from liquid biopsies additionally provides exciting possibilities for molecular diagnostics, and might help establish disease-specific biomarker signatures. The complexity of the small RNA-Seq workflow, however, bears challenges and biases that researchers need to be aware of in order to generate high-quality data. Rigorous standardization and extensive validation are required to guarantee reliability, reproducibility and comparability of research findings. Hypotheses based on flawed experimental conditions can be inconsistent and even misleading. Comparable to the well-established MIQE guidelines for qPCR experiments, this work aims at establishing guidelines for experimental design and pre-analytical sample processing, standardization of library preparation and sequencing reactions, as well as facilitating data analysis. We highlight bottlenecks in small RNA-Seq experiments, point out the importance of stringent quality control and validation, and provide a primer for differential expression analysis and biomarker discovery. Following our recommendations will encourage better sequencing practice, increase experimental transparency and lead to more reproducible small RNA-Seq results. This will ultimately enhance the validity of biomarker signatures, and allow reliable and robust clinical predictions.

Understanding microRNA-mediated gene regulatory networks through mathematical modelling

The discovery of microRNAs (miRNAs) has added a new player to the regulation of gene expression. With the increasing number of molecular species involved in gene regulatory networks, it is hard to obtain an intuitive understanding of network dynamics. Mathematical modelling can help dissecting the role of miRNAs in gene regulatory networks, and we shall here review the most recent developments that utilise different mathematical modelling approaches to provide quantitative insights into the function of miRNAs in the regulation of gene expression. Key miRNA regulation features that have been elucidated via modelling include: (i) the role of miRNA-mediated feedback and feedforward loops in fine-tuning of gene expression; (ii) the miRNA–target interaction properties determining the effectiveness of miRNA-mediated gene repression; and (iii) the competition for shared miRNAs leading to the cross-regulation of genes. However, there is still lack of mechanistic understanding of many other properties of miRNA regulation like unconventional miRNA–target interactions, miRNA regulation at different sub-cellular locations and functional miRNA variant, which will need future modelling efforts to deal with. This review provides an overview of recent developments and challenges in this field.

A Comprehensive Analysis of miRNA/isomiR Expression with Gender Difference

Although microRNAs (miRNAs) have been widely studied as epigenetic regulation molecules, fewer studies focus on the gender difference at the miRNA and isomiR expression levels. In this study, we aim to understand the potential relationships between gender difference and miRNA/isomiR expression through a comprehensive analysis of small RNA-sequencing datasets based on different human diseases and tissues. Based on specific samples from males and females, we determined that some miRNAs may be diversely expressed between different tissues and genders. Thus, these miRNAs may exhibit inconsistent and even opposite expression between males and females. According to deregulated miRNA expression profiles, some dominantly expressed miRNA loci were selected to analyze isomiR expression patterns using rates of dominant isomiRs. In some miRNA loci, isomiRs showed statistical significance between tumor and normal samples and between males and females samples, suggesting that isomiR expression patterns are not always invariable but may vary between males and females, as well as among different tissues, tumors, and normal samples. The divergence implicates the fluctuation in the expression of miRNA and its detailed expression at the isomiR levels. The divergence also indicates that gender difference may be an important factor that affects the screening of disease-associated miRNAs and isomiRs. This study suggests that miRNA/isomiR expression and gender difference may be more complex than previously assumed and should be further studied according to specific samples from males or females.

The emerging role of miR-223 as novel potential diagnostic and therapeutic target for inflammatory disorders

Since their discovery of more than a decade ago, microRNAs have been demonstrated to have profound effects on almost every aspect of biology. Specific microRNAs have emerged as key players in disease biology by playing crucial role in disease development and progression. This review draws attention to miR-223 that has been reported to be abnormally expressed in several diseases like diabetes-type2, sepsis, rheumatoid arthritis, viral infections likes' human immunodeficiency virus-1 (HIV-1) and inflammatory disorders. It regulates inflammation by targeting different targets, including cytoplasmic activation/proliferation-associated protein-1 (Caprin-1), Insulin-like growth factor-1 receptor (IGF-1R), heat shock protein 90 (Hsp90), STAT5, artemin, EPB41L3, Ect2, Pknox1, C/EBPα, C/EBPβ, E2F1, FOXO1, NFI-A and other transcription factors. In this review, we summarized the recent studies of miR-223, their mechanisms to develop inflammation diseases and its importance role to use as biomarkers for early diagnosis and therapeutic target against inflammation diseases.

miR-isomiRExp: a web-server for the analysis of expression of miRNA at the miRNA/isomiR levels

MicroRNA (miRNA) locus has been found that can generate a series of varied isomiR sequences. Most studies always focus on determining miRNA level, however, the canonical miRNA sequence is only a specific member in the multiple isomiRs. Some studies have shown that isomiR sequences play versatile roles in biological progress, and the analysis and research should be simultaneously performed at the miRNA/isomiR levels. Based on the biological characteristics of miRNA and isomiR, we developed miR-isomiRExp to analyze expression pattern of miRNA at the miRNA/isomiR levels, provide insights into tracking miRNA/isomiR maturation and processing mechanisms, and reveal functional characteristics of miRNA/isomiR. Simultaneously, we also performed expression analysis of specific human diseases using public small RNA sequencing datasets based on the analysis platform, which may help in surveying the potential deregulated miRNA/isomiR expression profiles, especially sequence and function-related isomiRs for further interaction analysis and study. The miR-isomiRExp platform provides miRNA/isomiR expression patterns and more information to study deregulated miRNA loci and detailed isomiR sequences. This comprehensive analysis will enrich experimental miRNA studies. miR-isomiRExp is available at http://server.malab.cn/miRisomiRExp/.

Considerations for optimization of microRNA PCR assays for molecular diagnosis

The remarkable stability of microRNAs in biofluids underlies their potential as biomarkers, but their small size presents challenges for detection by RT-qPCR. The heterogeneity of microRNAs, with each one comprising a series of variants or 'isomiRs', adds additional complexity. Presented here are the key considerations for use of RT-qPCR to measure microRNAs and their isomiRs, with a focus on plasma. Modified nucleotides can be incorporated into primer sequences to enhance affinity and provide increased specificity and sensitivity for RT-qPCR assays. Approaches based upon polyA tailing and use of a common oligo(dT)-based reverse transcription oligonucleotide will detect most isomiRs. Conversely, stem-loop RT oligonucleotides and sequence specific probes can enable detection of specific isomiRs of interest. Next generation sequencing of all the products of a microRNA RT-PCR reaction is a promising new approach for both microRNA quantification and characterization.

miRNA Digger: a comprehensive pipeline for genome-wide novel miRNA mining

MicroRNAs (miRNAs) are important regulators of gene expression. The recent advances in high-throughput sequencing (HTS) technique have greatly facilitated large-scale detection of the miRNAs. However, thoroughly discovery of novel miRNAs from the available HTS data sets remains a major challenge. In this study, we observed that Dicer-mediated cleavage sites for the processing of the miRNA precursors could be mapped by using degradome sequencing data in both animals and plants. In this regard, a novel tool, miRNA Digger, was developed for systematical discovery of miRNA candidates through genome-wide screening of cleavage signals based on degradome sequencing data. To test its sensitivity and reliability, miRNA Digger was applied to discover miRNAs from four organs of Arabidopsis. The results revealed that a majority of already known mature miRNAs along with their miRNA*s expressed in these four organs were successfully recovered. Notably, a total of 30 novel miRNA-miRNA* pairs that have not been registered in miRBase were discovered by miRNA Digger. After target prediction and degradome sequencing data-based validation, eleven miRNA-target interactions involving six of the novel miRNAs were identified. Taken together, miRNA Digger could be applied for sensitive detection of novel miRNAs and it could be freely downloaded from http://www.bioinfolab.cn/miRNA_Digger/index.html.

Analysis of Biobanked Serum from a Mycobacterium avium subsp paratuberculosis Bovine Infection Model Confirms the Remarkable Stability of Circulating miRNA Profiles and Defines a Bovine Serum miRNA Repertoire

Johne's Disease (JD) is a chronic enteritis of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). Current disease control strategies are hampered by the lack of sensitive and specific diagnostic modalities. Therefore, novel diagnostic and prognostic tools are needed, and circulating microRNAs (miRNAs) may hold potential in this area. The aims of this study were twofold: (i) to address the stability of miRNA in bovine sera from biobanked samples, and (ii) to assess the potential of miRNAs as biomarkers for JD disease progression. To address these aims we used bovine sera from an experimental MAP infection model that had been stored at -20°C for over a decade, allowing us to also assess the stability of miRNA profiles in biobanked serum samples through comparison with fresh sera. Approximately 100-200 intact miRNAs were identified in each sample with 83 of these being consistently detected across all 57 samples. The miRNA profile of the biobanked sera stored at -20°C for over 10 years was highly similar to the profile of <1 year-old sera stored at -80°C, with an overlap of 73 shared miRNAs. IsomiR analysis also indicated a distinct bovine serum-specific isomiR profile as compared to previously reported bovine macrophage miRNA profiles. To explore the prognostic potential of miRNA profiles cattle defined as seropositive for anti-MAP antibodies (n = 5) were compared against seronegative cattle (n = 7). No significant differential expressed miRNAs were detected at either the early (6 months) or late (43, 46 and 49 months) intervals (FDR≤0.05, fold-change≥1.5) across seropositive or seronegative animals. However, comparing pre-infection sera to the early and late time-points identified increased miR-29a and miR-92b abundance (2-fold) that may be due to blood-cell population changes over time (P<0.001). In conclusion our study has demonstrated that bovine circulating miRNAs retain their integrity under long-term sub-optimal storage temperatures opening the way for increased miRNA analyses from biobanked samples for a range of infectious and non-infectious diseases.

miRge - A Multiplexed Method of Processing Small RNA-Seq Data to Determine MicroRNA Entropy

Small RNA RNA-seq for microRNAs (miRNAs) is a rapidly developing field where opportunities still exist to create better bioinformatics tools to process these large datasets and generate new, useful analyses. We built miRge to be a fast, smart small RNA-seq solution to process samples in a highly multiplexed fashion. miRge employs a Bayesian alignment approach, whereby reads are sequentially aligned against customized mature miRNA, hairpin miRNA, noncoding RNA and mRNA sequence libraries. miRNAs are summarized at the level of raw reads in addition to reads per million (RPM). Reads for all other RNA species (tRNA, rRNA, snoRNA, mRNA) are provided, which is useful for identifying potential contaminants and optimizing small RNA purification strategies. miRge was designed to optimally identify miRNA isomiRs and employs an entropy based statistical measurement to identify differential production of isomiRs. This allowed us to identify decreasing entropy in isomiRs as stem cells mature into retinal pigment epithelial cells. Conversely, we show that pancreatic tumor miRNAs have similar entropy to matched normal pancreatic tissues. In a head-to-head comparison with other miRNA analysis tools (miRExpress 2.0, sRNAbench, omiRAs, miRDeep2, Chimira, UEA small RNA Workbench), miRge was faster (4 to 32-fold) and was among the top-two methods in maximally aligning miRNAs reads per sample. Moreover, miRge has no inherent limits to its multiplexing. miRge was capable of simultaneously analyzing 100 small RNA-Seq samples in 52 minutes, providing an integrated analysis of miRNA expression across all samples. As miRge was designed for analysis of single as well as multiple samples, miRge is an ideal tool for high and low-throughput users. miRge is freely available at http://atlas.pathology.jhu.edu/baras/miRge.html.

Dengue virus infection alters post-transcriptional modification of microRNAs in the mosquito vector Aedes aegypti

Recent discoveries regarding the importance of isomiRs have increased our understanding of the regulatory complexities of the miRNAome. Observed changes in the miRNA profiles in mosquitoes infected with flaviviruses have implicated small RNAs in the interactions between viruses and their vectors. Here we analysed the isomiR profiles of both uninfected and infected Aedes aegypti mosquitoes with the major human pathogen dengue virus (DENV). We found that several specific isomiRs were significantly altered in their abundance patterns in response to DENV infection potentially affecting their target repertoire. Notable among these were isomiR variants which displayed arm-switching. We also demonstrate that modifications to the 3p end of miRNAs are vastly more prevalent than those at the 5p ends. We also observed that in only 45% of Ae. aegypti miRNAs the most abundant read matches the exact sequence reported in miRBase. Further, we found positive correlations between the number of mature miRNA reads, pre-miRNA length, GC content and secondary structure minimum free energy with the number of isomiRs. The findings presented here provide some evidence that isomiR production is not a random phenomenon and may be important in DENV replication in its vector.

Development and regulatory application of microRNA biomarkers

MicroRNAs, a class of regulatory small non-coding RNAs, are emerging as promising biomarkers for different health outcomes. Due to their tissue specificity, stability in extracellular space and high conservation between preclinical test species, applications of novel miRNA-based biomarkers for drug safety testing regarding hepatotoxicity and cardiotoxicity are investigated. Furthermore, miRNA expression is altered by environmental exposure such as cigarette smoke or polychlorinated biphenyls. As a consequence, miRNAs potentially influence tumor suppressor genes and oncogenes and may influence carcinogenesis. This has raised the interest in the use of miRNA profiles for health risk assessment. This review summarizes the recent developments in miRNA research with focus on biomarkers for drug safety testing and biomarkers for health outcomes related to environmental exposures.

miRNA Nomenclature: A View Incorporating Genetic Origins, Biosynthetic Pathways, and Sequence Variants

High-throughput sequencing of miRNAs has revealed the diversity and variability of mature and functional short noncoding RNAs, including their genomic origins, biogenesis pathways, sequence variability, and newly identified products such as miRNA-offset RNAs (moRs). Here we review known cases of alternative mature miRNA-like RNA fragments and propose a revised definition of miRNAs to encompass this diversity. We then review nomenclature guidelines for miRNAs and propose to extend nomenclature conventions to align with those for protein-coding genes established by international consortia. Finally, we suggest a system to encompass the full complexity of sequence variations (i.e., isomiRs) in the analysis of small RNA sequencing experiments.

mirPRo-a novel standalone program for differential expression and variation analysis of miRNAs

Being involved in many important biological processes, miRNAs can regulate gene expression by targeting mRNAs to facilitate their degradation or translational inhibition. Many miRNA sequencing studies reveal that miRNA variations such as isomiRs and “arm switching” are biologically relevant. However, existing standalone tools usually do not provide comprehensive, detailed information on miRNA variations. To deepen our understanding of miRNA variability, we developed a new standalone tool called “mirPRo” to quantify known miRNAs and predict novel miRNAs. Compared with the most widely used standalone program, miRDeep2, mirPRo offers several new functions including read cataloging based on genome annotation, optional seed region check, miRNA family expression quantification, isomiR identification and categorization, and “arm switching” detection. Our comparative data analyses using three datasets from mouse, human and chicken demonstrate that mirPRo is more accurate than miRDeep2 by avoiding over-counting of sequence reads and by implementing different approaches in adapter trimming, mapping and quantification. mirPRo is an open-source standalone program (https://sourceforge.net/projects/mirpro/).

Mini but mighty: microRNAs in the pathobiology of periodontal disease

MicroRNAs (miRNAs) are a family of small, noncoding RNA molecules that negatively regulate protein expression either by inhibiting initiation of the translation of mRNA or by inducing the degradation of mRNA molecules. Accumulating evidence suggests that miRNA-mediated repression of protein expression is of paramount importance in a broad range of physiologic and pathologic conditions. In particular, miRNA-induced dysregulation of molecular processes involved in inflammatory pathways has been shown to contribute to the development of chronic inflammatory diseases. In this review, first of all we provide an overview of miRNA biogenesis, the main mechanisms of action and the miRNA profiling tools currently available. Then, we summarize the available evidence supporting a specific role for miRNAs in the pathobiology of periodontitis. Based on a review of available data on the differential expression of miRNAs in gingival tissues in states of periodontal health and disease, we address specific roles for miRNAs in molecular and cellular pathways causally linked to periodontitis. Our review points to several lines of evidence suggesting the involvement of miRNAs in periodontal tissue homeostasis and pathology. Although the intricate regulatory networks affected by miRNA function are still incompletely mapped, further utilization of systems biology tools is expected to enhance our understanding of the pathobiology of periodontitis.

MicroRNAs in obesity-associated disorders

The emergence of a worldwide obesity epidemic has dramatically increased the prevalence of insulin resistance and metabolic syndrome, predisposing individuals to a greater risk for the development of non-alcoholic fatty liver disease, type II diabetes and atherosclerotic cardiovascular diseases. Current available pharmacological interventions combined with diet and exercise-based managements are still poorly effective for weight management, likely in part due to an incomplete understanding of regulatory mechanisms and pathways contributing to the systemic metabolic abnormalities under disturbed energy homeostasis. MicroRNAs, small non-coding RNAs that regulate posttranscriptional gene expression, have been increasingly described to influence shifts in metabolic pathways under various obesity-related disease settings. Here we review recent discoveries of the mechanistic role that microRNAs play in regulating metabolic functions in liver and adipose tissues involved in obesity associated disorders, and briefly discusses the potential candidates that are being pursued as viable therapeutic targets.

Beyond the one-locus-one-miRNA paradigm: microRNA isoforms enable deeper insights into breast cancer heterogeneity

Here we describe our study of miRNA isoforms (isomiRs) in breast cancer (BRCA) and normal breast data sets from the Cancer Genome Atlas (TCGA) repository. We report that the full isomiR profiles, from both known and novel human-specific miRNA loci, are particularly rich in information and can distinguish tumor from normal tissue much better than the archetype miRNAs. IsomiR expression is also dependent on the patient's race, exemplified by miR-183-5p, several isomiRs of which are upregulated in triple negative BRCA in white but not black women. Additionally, we find that an isomiR's 5′ endpoint and length, but not the genomic origin, are key determinants of the regulation of its expression. Overexpression of distinct miR-183-5p isomiRs in MDA-MB-231 cells followed by microarray analysis revealed that each isomiR has a distinct impact on the cellular transcriptome. Parallel integrative analysis of mRNA expression from BRCA data sets of the TCGA repository demonstrated that isomiRs can distinguish between the luminal A and luminal B subtypes and explain in more depth the molecular differences between them than the archetype molecules. In conclusion, our findings provide evidence that post-transcriptional studies of BRCA will benefit from transcending the one-locus-one-miRNA paradigm and taking into account all isoforms from each miRNA locus as well as the patient's race.

MicroRNA nomenclature and the need for a revised naming prescription

A central environment and interface for microRNA (miRNA) registry and repository and a general standardized framework for their systematic annotation was established over a decade ago. However, the numbers of experimentally and computationally identified miRNAs are swiftly accumulating, and new aspects of miRNA-mediated gene regulation are being revealed. Currently, it is of great significance that the annotation framework should be redefined to include newly discovered miRNA species such as the variants of mature miRNAs (isomiRNAs), and organellar miRNAs: cipomiRNAs and mitomiRNAs. It is also of great importance that key terminology referring to the novelty, evolutionary history or biogenesis of miRNAs, as well as the confidence of their identification are standardized in the literature and disseminated in a central miRNA registry. Here, we review the status of miRNA nomenclature, curation and critical points of need for a revision of miRNA nomenclature and terminology.

Similarity computation strategies in the microRNA-disease network: a survey

Various microRNAs have been demonstrated to play roles in a number of human diseases. Several microRNA-disease network reconstruction methods have been used to describe the association from a systems biology perspective. The key problem for the network is the similarity computation model. In this article, we reviewed the main similarity computation methods and discussed these methods and future works. This survey may prompt and guide systems biology and bioinformatics researchers to build more perfect microRNA-disease associations and may make the network relationship clear for medical researchers.

Stress responsive miRNAs and isomiRs in cereals

Abiotic and biotic stress conditions are vital determinants in the production of cereals, the major caloric source in human nutrition. Small RNAs, miRNAs and isomiRs are central to post-transcriptional regulation of gene expression in a variety of cellular processes including development and stress responses. Several miRNAs have been identified using new technologies and have roles in stress responses in plants, including cereals. The overall knowledge about the cereal miRNA repertoire, as well as an understanding of complex miRNA mediated mechanisms of target regulation in response to stress conditions, is far from complete. Ongoing efforts that add to our understanding of complex miRNA machinery have implications in plant response to stress conditions. Additionally, sequence variants of miRNAs (isomiRNAs or isomiRs), regulation of their expression through dissection of upstream regulatory elements, the role of Processing-bodies (P-bodies) in miRNA exerted gene regulation and yet unveiled organellar plant miRNAs are newly emerging topics, which will contribute to the elucidation of the miRNA machinery and its role in cereal tolerance against abiotic and biotic stresses.

Amplification-based method for microRNA detection

Over the last two decades, the study of miRNAs has attracted tremendous attention since they regulate gene expression post-transcriptionally and have been demonstrated to be dysregulated in many diseases. Detection methods with higher sensitivity, specificity and selectivity between precursors and mature microRNAs are urgently needed and widely studied. This review gave an overview of the amplification-based technologies including traditional methods, current modified methods and the cross-platforms of them combined with other techniques. Many progresses were found in the modified amplification-based microRNA detection methods, while traditional platforms could not be replaced until now. Several sample-specific normalizers had been validated, suggesting that the different normalizers should be established for different sample types and the combination of several normalizers might be more appropriate than a single universal normalizer. This systematic overview would be useful to provide comprehensive information for subsequent related studies and could reduce the un-necessary repetition in the future.

Deep sequencing and proteomic analysis of the microRNA-induced silencing complex in human red blood cells

During maturation, erythropoietic cells extrude their nuclei but retain their ability to respond to oxidant stress by tightly regulating protein translation. Several studies have reported microRNA-mediated regulation of translation during terminal stages of erythropoiesis, even after enucleation. In the present study, we performed a detailed examination of the endogenous microRNA machinery in human red blood cells using a combination of deep sequencing analysis of microRNAs and proteomic analysis of the microRNA-induced silencing complex. Among the 197 different microRNAs detected, miR-451a was the most abundant, representing more than 60% of all read sequences. In addition, miR-451a and its known target, 14-3-3ζ mRNA, were bound to the microRNA-induced silencing complex, implying their direct interaction in red blood cells. The proteomic characterization of endogenous Argonaute 2-associated microRNA-induced silencing complex revealed 26 cofactor candidates. Among these cofactors, we identified several RNA-binding proteins, as well as motor proteins and vesicular trafficking proteins. Our results demonstrate that red blood cells contain complex microRNA machinery, which might enable immature red blood cells to control protein translation independent of de novo nuclei information.

A potassium ion-dependent RNA structural switch regulates human pre-miRNA 92b maturation

MicroRNAs (miRNAs) are an important set of oligonucleotide sequences with a biogenesis that involves Dicer-mediated cleavage as a critical step. Dicer cleaves the precursor miRNA (pre-miRNA) stem-loop structure to produce the mature miRNA. Using bioinformatics analysis, we discovered the presence of putative G-quadruplex (GQ)-forming sequences in about 16% of pre-miRNAs. We report the existence of a GQ as an alternative to the canonical stem-loop structure in the clinically important human pre-miRNA 92b. GQ formation led to unwinding of the stem-loop structure imparting resistance to Dicer-mediated cleavage both in vitro and in vivo. A potential K(+) ion-dependent equilibrium between GQ and the stem-loop structure has the ability to regulate the Dicer-mediated maturation of pre-miRNA 92b, which consequently affects target gene silencing. These findings unravel a new mechanism of regulation in pre-miRNA maturation, albeit at the RNA structure level.

Comprehensive expression analysis of miRNA in breast cancer at the miRNA and isomiR levels

Breast cancer (BC) is the main factor that leads cause of cancer death in women worldwide. A class of small non-coding RNAs, microRNAs (miRNAs), has been widely studied in human cancers as crucial regulatory molecule. Recent studies indicate that a series of isomiRs can be yielded from a miRNA locus, and these physiological miRNA isoforms have versatile roles in miRNA biogenesis. Herein, we performed a comprehensive analysis of miRNAs at the miRNA and isomiR levels in BC using next-generation sequencing data from The Cancer Genome Atlas (TCGA). Abnormally expressed miRNA (miR-21, miR-221, miR-155, miR-30e and miR-25) and isomiR profiles could be obtained at the miRNA and isomiR levels, and similar biological roles could be detected. IsomiR expression profiles should be further concerned, and especially isomiRs are actual regulatory molecules in the miRNA-mRNA regulatory networks. The study provides a comprehensive expression analysis at the miRNA and isomiR levels in BC, which indicates biological roles of isomiRs.

Genetic analysis of loop sequences in the let-7 gene family reveal a relationship between loop evolution and multiple isomiRs

While mature miRNAs have been widely studied, the terminal loop sequences are rarely examined despite regulating both primary and mature miRNA functions. Herein, we attempted to understand the evolutionary pattern of loop sequences by analyzing loops in the let-7 gene family. Compared to the stable miRNA length distributions seen in most metazoans, higher metazoan species exhibit a longer length distribution. Examination of these loop sequence length distributions, in addition to phylogenetic tree construction, implicated loop sequences as the main evolutionary drivers in miRNA genes. Moreover, loops from relevant clustered miRNA gene families showed varying length distributions and higher levels of nucleotide divergence, even between homologous pre-miRNA loops. Furthermore, we found that specific nucleotides were dominantly distributed in the 5' and 3' terminal loop ends, which may contribute to the relatively precise cleavage that leads to a stable isomiR expression profile. Overall, this study provides further insight into miRNA processing and maturation and further enriches our understanding of miRNA biogenesis.

Comparisons of isomiR patterns and classification performance using the rank-based MANOVA and 10-fold cross-validation

Next generation sequencing technology has identified a series of miRNA variants (named "isomiRs"), which might be associated with cancer progression. We provide a new strategy to reanalyze the miR-seq datasets through a view of the isomiR spectrum. Firstly, differentially expressed (DE) isomiRs were detected with the DESeq algorithm based on negative binomial distribution. Secondly, the rank-based MANOVA was adopted to compare the isomiR patterns between normal and tumor tissues. Moreover, a comprehensive survey on classification performance of three features was conducted, including the logistic regression, k-nearest neighbors and Random Forest. Finally, functional enrichment analysis was performed with the putative targets of specific isomiRs to elucidate their biological functions. Furthermore, the methods were applied to the downloaded miR-seq datasets of breast invasive carcinoma from TCGA. We found that the expression levels of multiple isomiRs derived from the same miRNA locus showed significant inconsistency between normal and tumor samples. In most cases, logistic regression with multiple DE isomiRs was superior to the others, with highest AUC and lowest AIC. Similarly, DE isomiRs performed best in the average accuracy of standard classifiers. Integrated targets were significantly enriched in some cancer-related pathways, including MAPK signaling pathway, and focal adhesion. Collectively, we could recommend the rank-based MANOVA for comparing different isomiR patterns, and further investigation on isomiRs needs to be considered in miRNA sequencing research.

VIRmiRNA: a comprehensive resource for experimentally validated viral miRNAs and their targets

Viral microRNAs (miRNAs) regulate gene expression of viral and/or host genes to benefit the virus. Hence, miRNAs play a key role in host–virus interactions and pathogenesis of viral diseases. Lately, miRNAs have also shown potential as important targets for the development of novel antiviral therapeutics. Although several miRNA and their target repositories are available for human and other organisms in literature, but a dedicated resource on viral miRNAs and their targets are lacking. Therefore, we have developed a comprehensive viral miRNA resource harboring information of 9133 entries in three subdatabases. This includes 1308 experimentally validated miRNA sequences with their isomiRs encoded by 44 viruses in viral miRNA ‘VIRmiRNA’ and 7283 of their target genes in ‘VIRmiRtar’. Additionally, there is information of 542 antiviral miRNAs encoded by the host against 24 viruses in antiviral miRNA ‘AVIRmir’. The web interface was developed using Linux-Apache-MySQL-PHP (LAMP) software bundle. User-friendly browse, search, advanced search and useful analysis tools are also provided on the web interface. VIRmiRNA is the first specialized resource of experimentally proven virus-encoded miRNAs and their associated targets. This database would enhance the understanding of viral/host gene regulation and may also prove beneficial in the development of antiviral therapeutics.

Database URL: http://crdd.osdd.net/servers/virmirna

An exploration of evolution, maturation, expression and function relationships in mir-23 ∼ 27 ∼ 24 cluster

The study aims to explore the potential relationships of evolution, maturation, expression and function between homologous/clustered miRNAs. mir-23∼27∼24 gene cluster, including the two gene clusters (mir-23a and mir-23b) and the three miRNA gene families (mir-23, mir-27 and mir-24), was typically selected as an example. These related miRNAs show similar evolutionary patterns and various expression patterns. Most of them show consistent isomiR expression pattern, and the “switching” phenomenon can be found between different abundant isomiR species. These findings suggest that these sequence or location related miRNAs show the similar miRNA processing and maturation processes, and the robust selection of the most dominant isomiR exists in specific tissues. Functional analysis show that these miRNAs show similar distributions of enriched gene categories, suggesting the close functional prelateships via direct or indirect coordinate regulation in biological processes. The study reveals the close evolutionary, expression and functional relationships between related homologous/clustered miRNAs, which will further enrich miRNA studies and understand direct or indirect interactions between miRNAs.