The Porcine MicroRNA Transcriptome Response to Transmissible Gastroenteritis Virus Infection

Transmissible gastroenteritis virus (TGEV; Coronaviridae family) causes huge economic losses to the swine industry. MicroRNAs (miRNAs) play a regulatory role in viral infection and may be involved in the mammalian immune response. Here, we report a comprehensive analysis of host miRNA expression in TGEV-infected swine testis (ST) cells. Deep sequencing generated 3,704,353 and 2,763,665 reads from uninfected ST cells and infected ST cells, respectively. The reads were aligned to known Sus scrofa pre-miRNAs in miRBase 19, identifying 284 annotated miRNAs. Certain miRNAs were differentially regulated during TGEV infection. 59 unique miRNAs displayed significant differentially expression between the normal and TGEV-infected ST cell samples: 15 miRNAs were significantly up-regulated and 44 were significantly down-regulated. Stem-loop RT-PCR was carried out to determine the expression levels of specific miRNAs in the two samples, and the results were consistent with those of sequencing. Gene ontology enrichment analysis of host target genes demonstrated that the differentially expressed miRNAs are involved in regulatory networks, including cellular process, metabolic process, immune system process. This is the first report of the identification of ST cell miRNAs and the comprehensive analysis of the miRNA regulatory mechanism during TGEV infection, which revealed the miRNA molecular regulatory mechanisms for the viral infection, expression of viral genes and the expression of immune-related genes. The results presented here will aid research on the prevention and treatment of viral diseases.     

Blood Feeding and Plasmodium Infection Alters the miRNome of Anopheles stephensi

Blood feeding is an integral process required for physiological functions and propagation of the malaria vector Anopheles. During blood feeding, presence of the malaria parasite, Plasmodium in the blood induces several host effector molecules including microRNAs which play important roles in the development and maturation of the parasite within the mosquito. The present study was undertaken to elucidate the dynamic expression of miRNAs during gonotrophic cycle and parasite development in Anopheles stephensi. Using next generation sequencing technology, we identified 126 miRNAs of which 17 were novel miRNAs. The miRNAs were further validated by northern hybridization and cloning. Blood feeding and parasitized blood feeding in the mosquitoes revealed regulation of 13 and 16 miRNAs respectively. Expression profiling of these miRNAs revealed that significant miRNAs were down-regulated upon parasitized blood feeding with a repertoire of miRNAs showing stage specific up-regulation. Expression profiles of significantly modulated miRNAs were further validated by real time PCR. Target prediction of regulated miRNAs revealed overlapping targeting by different miRNAs. These targets included several metabolic pathways including metabolic, redox homeostasis and protein processing machinery components. Our analysis revealed tight regulation of specific miRNAs post blood feeding and parasite infection in An. stephensi. Such regulated expression suggests possible role of these miRNAs during gonotrophic cycle in mosquito. Another set of miRNAs were also significantly regulated at 42 h and 5 days post infection indicating parasite stage-specific role of host miRNAs. This study will result in better understanding of the role of miRNAs during gonotrophic cycle and parasite development in mosquito and can probably facilitate in devising novel malaria control strategies at vector level.     

Crosstalk between circulating microRNAs and chronotypical features in subjects with metabolic syndrome

ABSTRACT

Circulating microRNAs (miRNAs) are valuable biomarkers that may provide important insight into the pathogenesis of metabolic syndrome (MetS). Moreover, there is an association between chronotypical characteristics and MetS predisposition. Considering that expression of some miRNAs is circadian-rhythm-dependent, the aim of this study was to investigate the circulating miRNA profile in subjects with and without MetS in association with chronotype. The expression of 86 metabolic syndrome-related miRNAs was investigated in the plasma of 21 subjects with MetS and in 82 subjects without MetS using miRCURY LNA miRNA PCR System technology. Chronotype was assessed using the Horne and Östberg Morningness-Eveningness Questionnaire. Bioinformatic analyses were performed to explore the target genes and biological pathways regulated by the selected miRNAs. Subjects with MetS were more often evening chronotype compared to non-MetS controls. Additionally, four miRNAs (miR-140-3p, miR-150-5p, miR-375, and miR-29 c-3p) demonstrated interaction with MetS and chronotype. Interestingly, the target genes of these four miRNAs participate in pathways related to the circadian clock. In conclusion, we identified four circulating miRNAs whose circulating levels could interact with MetS and chronotype.     

Young intragenic miRNAs are less coexpressed with host genes than old ones: implications of miRNA-host gene coevolution

MicroRNAs (miRNAs) have emerged as key regulators of gene expression. Intragenic miRNAs account for ～50% of mammalian miRNAs. Classic studies reported that they are usually coexpressed with host genes. Here, using genome-wide miRNA and gene expression profiles from five sample sets, we show that evolutionarily conserved ('old') intragenic miRNAs tend to be coexpressed with host genes, but non-conserved ('young') ones rarely do so. This result is robust: in all sample sets, the coexpression rate of young miRNAs is significantly lower than that of conserved ones even after controlling for abundance. As a result, although young miRNAs dominate in human genome, the majority of intragenic miRNAs that show coexpression with host genes are phylogenetically old ones. For younger miRNAs, extrapolation of their expression profiles from those of their host genes should be treated with caution. We propose a model to explain this phenomenon in which the majority of young miRNAs are unlikely to be coexpressed with host genes; however, for some fraction of young miRNAs coexpression with their host genes, initially imbued by chromatin level effects, is advantageous and these are the ones likely to embed into the system and evolve ever higher levels of coexpression, possibly by evolving piggybacking mechanisms.     

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.     

Epigenetic perspectives of COVID-19: Virus infection to disease progression and therapeutic control

COVID-19 has caused numerous deaths as well as imposed social isolation and upheaval world-wide. Although, the genome and the composition of the virus, the entry process and replication mechanisms are well investigated from by several laboratories across the world, there are many unknown remaining questions. For example, what are the functions of membrane lipids during entry, packaging and exit of virus particles? Also, the metabolic aspects of the infected tissue cells are poorly understood. In the course of virus replication and formation of virus particles within the host cell, the enhanced metabolic activities of the host is directly proportional to viral loads. The epigenetic landscape of the host cells is also altered, particularly the expression/repression of genes associated with cellular metabolism as well as cellular processes that are antagonistic to the virus. Metabolic pathways are enzyme driven processes and the expression profile and mechanism of regulations of the respective genes encoding those enzymes during the course of pathogen invasion might be highly informative on the course of the disease. Recently, the metabolic profile of the patients' sera have been analysed from few patients. In view of this, and to gain further insights into the roles that epigenetic mechanisms might play in this scenario in regulation of metabolic pathways during the progression of COVID-19 are discussed and summarised in this contribution for ensuring best therapy.     

Iron metabolism: microbes,mouse, and man

Recent advances in research on iron metabolism have revealed the identity of a number of genes, signal transduction pathways, and proteins involved in iron regulation in mammals. The emerging paradigm is a coordination of homeostasis within a network of classical iron metabolic pathways and other cellular processes such as cell differentiation, growth, inflammation, immunity, and a host of physiologic and pathologic conditions. Iron, immunity, and infection are intricately linked and their regulation is fundamental to the survival of mammals. The mutual dependence on iron by the host and invading pathogenic organisms elicits competition for the element during infection. While the host maintains mechanisms to utilize iron for its own metabolism exclusively, pathogenic organisms are armed with a myriad of strategies to circumvent these measures. This review explores iron metabolism in mammalian host, defense mechanisms against pathogenic microbes and the competitive devices of microbes for access to iron.     

A densely interconnected genome-wide network of microRNAs and oncogenic pathways revealed using gene expression signatures

MicroRNAs (miRNAs) are important components of cellular signaling pathways, acting either as pathway regulators or pathway targets. Currently, only a limited number of miRNAs have been functionally linked to specific signaling pathways. Here, we explored if gene expression signatures could be used to represent miRNA activities and integrated with genomic signatures of oncogenic pathway activity to identify connections between miRNAs and oncogenic pathways on a high-throughput, genome-wide scale. Mapping >300 gene expression signatures to >700 primary tumor profiles, we constructed a genome-wide miRNA-pathway network predicting the associations of 276 human miRNAs to 26 oncogenic pathways. The miRNA-pathway network confirmed a host of previously reported miRNA/pathway associations and uncovered several novel associations that were subsequently experimentally validated. Globally, the miRNA-pathway network demonstrates a small-world, but not scale-free, organization characterized by multiple distinct, tightly knit modules each exhibiting a high density of connections. However, unlike genetic or metabolic networks typified by only a few highly connected nodes ("hubs"), most nodes in the miRNA-pathway network are highly connected. Sequence-based computational analysis confirmed that highly-interconnected miRNAs are likely to be regulated by common pathways to target similar sets of downstream genes, suggesting a pervasive and high level of functional redundancy among coexpressed miRNAs. We conclude that gene expression signatures can be used as surrogates of miRNA activity. Our strategy facilitates the task of discovering novel miRNA-pathway connections, since gene expression data for multiple normal and disease conditions are abundantly available.     

Functional and genetic characterization of calmodulin from the dimorphic and pathogenic fungus Paracoccidioides brasiliensis

Calmodulin (CaM) modulates intracellular calcium signalling and acts on several metabolic pathways and gene expression regulation in many eukaryotic organisms including human fungal pathogens, such as Candida albicans and Histoplasma capsulatum. The temperature-dependent dimorphic fungus Paracoccidioides brasiliensis is the aetiological agent of paracoccidioidomycosis (PCM). The mycelium (M) to yeast (Y) transition has been shown to be essential for establishment of the infection, although the precise molecular mechanisms of dimorphism in P. brasiliensis are still unknown. In this work, several inhibitory drugs of the Ca(2+)/calmodulin signalling pathway were tested to verify the role of this pathway in the cellular differentiation process of P. brasiliensis. EGTA and the drugs calmidazolium (R24571), trifluoperazine (TFP), and W7 were able to inhibit the M-Y transition. We have cloned and characterized the calmodulin gene from P. brasiliensis, which comprises 924 nucleotides and five introns that are in a conserved position among calmodulin genes.     

Genome-Wide Analysis of miRNA Signature in the APPswe/PS1ΔE9 Mouse Model of Alzheimer's Disease

Alzheimer''s disease (AD) is the most common cause of dementia. One of the pathological hallmarks of AD is amyloid β (Aβ) deposition. MicroRNAs (miRNAs) are small non-coding RNAs whose expression levels change significantly during neuronal pathogenesis and may be used as diagnostic markers. Some miRNAs are important in AD development by targeting genes responsible for Aβ metabolism. However, a systematic assessment of the miRNA expression profile induced by Aβ-mediated neuronal pathogenesis is still lacking. In the present study, we examined miRNA expression profile by using the APPswe/PS1ΔE9 mouse model of AD. Two sibling pairs of mice were examined, showing 30 and 24 miRNAs with significantly altered expression levels from each paired control, respectively. Nine known miRNAs were common in both groups. Prediction of putative target genes and functional annotation implied that these altered miRNAs affect many target genes mainly involved in PI3K/Akt signaling pathway. This study provides a general profile of miRNAs regulated by Aβ-associated signal pathways, which is helpful to understand the mechanism of Aβ-induced neuronal dysfunction in AD development.     

miRNApath: a database of miRNAs, target genes and metabolic pathways

MicroRNAs (miRNAs) are small non-coding RNAs that regulate target gene expression and hence play important roles in metabolic pathways. Recent studies have evidenced the interrelation of miRNAs with cell proliferation, differentiation, development, and diseases. Since they are involved in gene regulation, they are intrinsically related to metabolic pathways. This leads to questions that are particularly interesting for investigating medical and laboratorial applications. We developed an miRNApath online database that uses miRNA target genes to link miRNAs to metabolic pathways. Currently, databases about miRNA target genes (DIANA miRGen), genomic maps (miRNAMap) and sequences (miRBase) do not provide such correlations. Additionally, miRNApath offers five search services and a download area. For each search, there is a specific type of input, which can be a list of target genes, miRNAs, or metabolic pathways, which results in different views, depending upon the input data, concerning relationships between the target genes, miRNAs and metabolic pathways. There are also internal links that lead to a deeper analysis and cross-links to other databases with more detailed information. miRNApath is being continually updated and is available at http://lgmb.fmrp.usp.br/mirnapath.     

microRNA expression profile in porcine oocytes with different developmental competence derived from large or small follicles

Oocyte developmental competence is acquired during folliculogenesis and regulated by complex molecular mechanisms. Several molecules are involved in these mechanisms, including microRNAs (miRNAs) that are essential for oocyte‐specific processes throughout the development. The objective of this study was to identify the expression profile of miRNAs in porcine oocytes derived from follicles of different sizes using RNA deep sequencing. Oocytes were aspirated from large (LO; 3–6 mm) or small (SO; 1.5–1.9 mm) follicles and tested for developmental competence and chromatin configurations. Small RNA libraries were constructed from both groups and then sequenced in an Illumina NextSeq. 500. Oocytes from the LO group exhibited higher developmental competence and different chromatin configuration compared with oocytes from the SO group. In total, 167 and 162 known miRNAs were detected in the LO and SO groups, respectively. MiR‐205, miR‐16, miR‐148a‐3p, and miR‐125b were among the top 10 highly expressed miRNAs in both groups. Eight miRNAs were differentially expressed (DE) between both groups. Target gene prediction and pathway analysis revealed 46 pathways that were enriched with miRNA‐target genes. The oocyte meiosis pathway and signaling pathways including FoxO, PI3K‐Akt, and cAMP were predictably targeted by DE miRNAs. These results give more insights into the potential role of miRNAs in regulating the oocyte development.     

Expression profiles of precursor and mature microRNAs under dehydration and high salinity shock in Populus euphratica

MicroRNAs (miRNAs) are small non-coding RNAs that play vital roles in plant abiotic stress responses via cleavage or translational inhibition of their target mRNAs. Populus euphratica is a typical stress-resistant sessile organism that grows in desert areas. Here, we identified sequences of 12 miRNA precursors from 11 families and 13 mature miRNAs from 12 families by PCR amplification in P. euphratica. To detect expression differences in mature miRNAs and their precursors under dehydration and high salinity shock in P. euphratica, we examined 14 miRNA precursors from 13 miRNA families and 17 mature miRNAs from 17 miRNA families using the SYBR Green RT–PCR assay. This is the first report of expression profiles for both precursor and mature miRNAs in P. euphratica. By profiling both the mature miRNAs and the precursors under abiotic stress shock, it was possible to identify miRNA whose processing is regulated during stress shock environments. A majority of the genes predicted to be targets for plant miRNAs are involved in development, stress resistance and metabolic processes. We have cloned and experimentally identified in vivo five of the predicted target genes and quantified the five target mRNAs from the same RNA sample simultaneously. Based on this study, we propose some regulatory pathways that illustrate the important role that miRNAs play in response to abiotic stress shock in P. euphratica.     

Characterization of miRNAs involved in response to poly(I:C) in porcine airway epithelial cells

MicroRNAs (miRNA) have been implicated in a variety of pathological conditions including infectious diseases. Knowledge of the miRNAs affected by poly(I:C), a synthetic analog of viral double‐stranded RNA, in porcine airway epithelial cells (PAECs) contributes to understanding the mechanisms of swine viral respiratory diseases, which bring enormous economic loss worldwide every year. In this study, we used high throughput sequencing to profile miRNA expression in PAECs treated with poly(I:C) as compared to the untreated control. This approach revealed 23 differentially expressed miRNAs (DEMs), five of which have not been implicated in viral infection before. Nineteen of the 23 miRNAs were down‐regulated including members of the miR‐17‐92 cluster, a well‐known polycistronic oncomir and extensively involved in viral infection in humans. Target genes of DEMs, predicted using bioinformatic methods and validated by luciferase reporter analysis on two representative DEMs, were significantly enriched in several pathways including transforming growth factor‐β signaling. A large quantity of sequence variations (isomiRs) were found including a substitution at position 5, which was verified to redirect miRNAs to a new spectrum of targets by luciferase reporter assay together with bioinformatics analysis. Twelve novel porcine miRNAs conserved in other species were identified by homology analysis together with cloning verification. Furthermore, the expression analysis revealed the potential importance of three novel miRNAs in porcine immune response to viruses. Overall, our data contribute to clarifying the mechanisms underlying the host immune response against respiratory viruses in pigs, and enriches the repertoire of porcine miRNAs.