Stem-loop RT-qPCR for microRNA expression profiling

Isothermal exponential amplification reactions triggered by circular templates (cEXPAR) targeting miRNA

BACKGROUND

Isothermal exponential amplification reaction (EXPAR) is an emerging amplification technique that is most frequently used to amplify microRNA (miRNA). However, EXPAR also exhibits non-specific background amplification in the absence of the targeted sequence, which limits the attainable assay sensitivity of EXPAR.

METHODS AND RESULTS

A novel modified isothermal EXPAR based on circular amplification templates (cEXPAR) was developed in this study. The circular template consists of two same linear fragments that complement the target sequence, and these two linear fragments are separated by two nicking agent recognition sequences (NARS). Compared with the linear structure template, this circular template allows DNA or RNA fragments to be randomly paired with two repeated sequences and can be successfully amplified. This reaction system developed in this study could rapidly synthesize short oligonucleotide fragments (12-22 bp) through simultaneous nicking and displacement reactions. Highly sensitive chain reactions can be specifically triggered by as low as a single copy of target molecule, and non-specific amplification can be effectively eliminated in this optimized system. Moreover, the proposed approach applied to miRNA test can discriminate single-nucleotide variations between miRNAs.

CONCLUSION

The newly developed cEXPAR assay provides a useful alternative tool for rapid, sensitive, and highly specific detection of miRNAs.

Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

Background

Polyandrous social insects such as the honey bee are prime candidates for parental manipulation of gene expression in offspring. Although there is good evidence for parent-of-origin effects in honey bees the epigenetic mechanisms that underlie these effects remain a mystery. Small RNA molecules such as miRNAs, piRNAs and siRNAs play important roles in transgenerational epigenetic inheritance and in the regulation of gene expression during development.

Results

Here we present the first characterisation of small RNAs present in honey bee reproductive tissues: ovaries, spermatheca, semen, fertilised and unfertilised eggs, and testes. We show that semen contains fewer piRNAs relative to eggs and ovaries, and that piRNAs and miRNAs which map antisense to genes involved in DNA regulation and developmental processes are differentially expressed between tissues. tRNA fragments are highly abundant in semen and have a similar profile to those seen in the semen of other animals. Intriguingly we also find abundant piRNAs that target the sex determination locus, suggesting that piRNAs may play a role in honey bee sex determination.

Conclusions

We conclude that small RNAs may play a fundamental role in honey bee gametogenesis and reproduction and provide a plausible mechanism for parent-of-origin effects on gene expression and reproductive physiology.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-022-08478-9.

Bringing MicroRNAs to Light: Methods for MicroRNA Quantification and Visualization in Live Cells

MiRNAs are small non-coding RNAs that interact with their target mRNAs for posttranscriptional gene regulation. Finely controlled miRNA biogenesis, target recognition and degradation indicate that maintaining miRNA homeostasis is essential for regulating cell proliferation, growth, differentiation and apoptosis. Increasingly, miRNAs have been recognized as a potential biomarker for disease diagnosis. MiRNAs can be found in blood, plasma, and tissues, and miRNA expression and activity differ in developmental stages, tissues and in response to external stimuli. MiRNA transcripts are matured from pri-miRNA over pre-miRNA to mature miRNA, a process that includes multiple steps and enzymes. Many tools are available to identify and quantify specific miRNAs, ranging from measuring total miRNA, specific miRNA activity, miRNA arrays and miRNA localization. The various miRNA assays differ in accuracy, cost, efficiency and convenience of monitoring miRNA dynamics. To acknowledge the significance and increasing research interest in miRNAs, we summarize the traditional as well as novel methods of miRNA quantification with strengths and limitations of various techniques in biochemical and medical research.

Identification of differentially expressed miRNAs on normal cell, fatty liver cell and processed cell by monoammonium glycyrrhizinate from cattle (Bos indicus) by deep sequencing approach

Cattle fatty liver has caused mass damage in milk production during the past few years. In our study, to identify different miRNAs involved in cell physiological regulation in fatty liver, we performed miRNA deep sequencing on a normal liver cell (S01), fatty liver cell (S02) and processed cell by monoammonium glycyrrhizinate (S03). As a result, a total of 15,277,462, 14,190,360 and 13,771,060 raw reads representing 13,904,074, 12,784,128 and 11,017,604 clean reads per library were obtained separately. Through bioinformatics analysis, a total of 511 known miRNAs were identified when they were aligned with the known animal miRNAs, and 197 novel miRNAs were predicted using mirDeep2 software. A total of 511 miRNAs including 101 known and 51 novel miRNAs were expressed significantly different. Additionally, expression levels of eight randomly selected miRNAs were confirmed using the stem-loop qPCR, and their expression profiles were consistent with the deep sequencing results. For better understanding the functions of miRNAs, a total of 14,231 targets were predicted. These predicted target genes were further analyzed by function annotation and enrichment pathways, the results showed that these targets of the identified miRNAs are involved in a broad range of physiological functions.

A microRNA profile of saliva and role of miR-375 in Haemaphysalis longicornis (Ixodida: Ixodidae)

Background

Tick saliva contains many bioactive molecules that are involved in attachment to the host, blood-feeding and transmission of pathogens. MicroRNAs (miRNAs) are a class of short non-coding RNAs with a length of 19–24 nucleotides. They act as regulators of gene expression by binding to their target mRNA at the post-transcriptional level and control a variety of cellular functions, including regulation of growth, metabolism and development. The detection and characterizations of miRNAs from tick saliva may help explain the molecular mechanisms involved in the interaction between ticks, pathogens and hosts. They may also contribute to the discovery of vaccines, which can control ticks and the pathogens they transmit.

Results

An RNA library was generated from the saliva of fed adult Haemaphysalis longicornis ticks, containing 17.4 million clean reads of 18–30 nucleotides. Overall, 319 known miRNAs and 1 novel miRNA were found. The 10 most abundantly expressed miRNAs present in tick saliva were miR-100_2, miR-315, miR-184_1, miR-100-5p_2, miR-5307, miR-184-3p_3, Let-7-5p_6, miR-71_5, miR-1-3p_6 and miR-10-5p_2. miR-375, one of the abundantly expressed, was subjected to quantitative real-time PCR analysis (qRT-PCR) in various tick developmental stages, as well as in different tissues isolated from adult ticks. The expression of miR-375 in different tick development stages was highest in unfed nymphs and lowest in the egg stage. In the tissues of adult ticks, miR-375 was most highly expressed in the salivary gland. To investigate the possible role of miR-375, Ant-375 was used to inhibit the miR-375. The treated group (Ant-375) had a reduced number of eggs (t₍₁₀₎ = 2.652, P = 0.0242), eggs that were partially desiccated, and reduced egg hatchability (t₍₁₀₎ = 2.272, P = 0.044) compared to Ms-Ant and the non-injected control.

Conclusions

This is the first study to investigate the miRNA profile in tick saliva and the role of miR-375 in H. longicornis. The identification and characterization of miRNA in tick saliva may help to reveal the molecular mechanisms of interactions among ticks, pathogens and hosts, and suggest new vaccine strategies to control tick-borne diseases.

Electronic supplementary material

The online version of this article (10.1186/s13071-019-3318-x) contains supplementary material, which is available to authorized users.

Identification and Characterization of MicroRNAs in Skin of Chinese Giant Salamander (Andrias davidianus) by the Deep Sequencing Approach

MicroRNAs (miRNA) play a pivotal role in regulating a broad range of biological processes, acting by cleaving mRNAs or by translational repression. However, the miRNAs from skin of Andrias davidianus have not been reported. In this study, a small-RNA cDNA library was constructed and sequenced from skin of A. davidianus. A total of 513 conserved miRNAs belonging to 174 families were identified. The remaining 108 miRNAs we identified were novel and likely to be skin tissue-specific but were expressed at low levels. The presence of randomly selected 15 miRNAs identified and their expression in eight different tissues from A. davidianus were validated by stem-loop qRT-PCR. For better understanding the functions of miRNAs, 129,791 predicated target genes were analyzed by GO and their pathways illustrated by KEGG pathway analyses. The results show that these identified miRNAs from A. davidianus skin are involved in a broad range of physiological functions including metabolism, growth, development, and immune responses. This study exhaustively identifies miRNAs and their target genes, which will ultimately pave the way for understanding their role in skin of A. davidianus and other amphibians. Further studies are necessary to better understand miRNA-mediated gene regulation.

Identification and expression analysis of miRNA in hybrid snakehead by deep sequencing approach and their targets prediction

MicroRNAs (miRNAs) play important regulatory roles in numerous biological processes, but there is no report on miRNAs of hybrid snakehead. In this study, four independent small RNA libraries were constructed from the spleen, liver kidney and muscle of hybrid snakehead. These libraries were sequenced using deep sequencing technology, as result, a total of 1,067,172, 1,152,002, 1,653,941 and 970,866 clean reads from these four libraries were obtained. 252 known miRNAs and 63 putative novel miRNAs in these small RNA dataset were identified. The stem-loop RT-qPCR analysis indicated that eight known miRNAs and two novel miRNAs show different expression in eight different kinds of tissues. For better understanding the functions of miRNAs, 95,947 predicated target genes were analyzed by GO and their pathways, the results indicated that these targets of the identified miRNAs are involved in a broad range of physiological functions.

Selective α-Synuclein Knockdown in Monoamine Neurons by Intranasal Oligonucleotide Delivery: Potential Therapy for Parkinson's Disease

Progressive neuronal death in brainstem nuclei and widespread accumulation of α-synuclein are neuropathological hallmarks of Parkinson's disease (PD). Reduction of α-synuclein levels is therefore a potential therapy for PD. However, because α-synuclein is essential for neuronal development and function, α-synuclein elimination would dramatically impact brain function. We previously developed conjugated small interfering RNA (siRNA) sequences that selectively target serotonin (5-HT) or norepinephrine (NE) neurons after intranasal administration. Here, we used this strategy to conjugate inhibitory oligonucleotides, siRNA and antisense oligonucleotide (ASO), with the triple monoamine reuptake inhibitor indatraline (IND), to selectively reduce α-synuclein expression in the brainstem monoamine nuclei of mice after intranasal delivery. Following internalization of the conjugated oligonucleotides in monoamine neurons, reduced levels of endogenous α-synuclein mRNA and protein were found in substantia nigra pars compacta (SNc), ventral tegmental area (VTA), dorsal raphe nucleus (DR), and locus coeruleus (LC). α-Synuclein knockdown by ∼20%-40% did not cause monoaminergic neurodegeneration and enhanced forebrain dopamine (DA) and 5-HT release. Conversely, a modest human α-synuclein overexpression in DA neurons markedly reduced striatal DA release. These results indicate that α-synuclein negatively regulates monoamine neurotransmission and set the stage for the testing of non-viral inhibitory oligonucleotides as disease-modifying agents in α-synuclein models of PD.

Identification and characterization of known and novel microRNAs in three tissues of Chinese giant salamander base on deep sequencing approach

MicroRNAs (miRNAs) are a class of non-coding small RNAs that play important roles in the regulation of gene expression. Although animal miRNAs have been extensively studied in model systems, less is known in other animal with limited genome sequence data, including Chinese giant salamander (Andrias davidianus). The identification of the full repertoire of miRNAs expressed in the liver, spleen and muscle of A. davidianus would significantly increase our understanding for physiological function of A. davidianus, in this ancient and endangered urodele amphibian. In this study, three independent small RNA libraries were constructed from the liver, spleen and muscle of A. davidianus. The libraries were subjected to high-throughput sequencing by using the Illumina deep sequencing. As a result, a total of 12,831,239, 13,592,195 and 9,887,531 raw reads representing 2,240,771, 1,363,266 and 1,964,252 clean reads per library were obtained separately. Through bioinformatics analysis, we identified total of 553 known miRNAs and 44 putative novel miRNAs in our small RNA dataset from liver, spleen and muscle tissues. Five known miRNAs (gga-miR-10a-5p, pma-miR-29d-5p, aca-miR-338-3p, hsa-miR-455-3p and ssa-miR-2184-5p_R-1) and three novel miRNAs (PC-5p-891_1763, PC-5p-32538_50 and PC-3p-33645_48) showed different expression in eight different tissues as revealed by stem-loop qPCR analysis. This study characterized the miRNA of A. davidianus for the first time, which provides an opportunity for further understanding of miRNA regulation function in A. davidianus ranked as living fossils.

Mammalian Innate Immune Response to a Leishmania-Resident RNA Virus Increases Macrophage Survival to Promote Parasite Persistence

Some strains of the protozoan parasite Leishmania guyanensis (L.g) harbor a viral endosymbiont called Leishmania RNA virus 1 (LRV1). LRV1 recognition by TLR-3 increases parasite burden and lesion swelling in vivo. However, the mechanisms by which anti-viral innate immune responses affect parasitic infection are largely unknown. Upon investigating the mammalian host's response to LRV1, we found that miR-155 was singularly and strongly upregulated in macrophages infected with LRV1+ L.g when compared to LRV1- L.g. LRV1-driven miR-155 expression was dependent on TLR-3/TRIF signaling. Furthermore, LRV1-induced TLR-3 activation promoted parasite persistence by enhancing macrophage survival through Akt activation in a manner partially dependent on miR-155. Pharmacological inhibition of Akt resulted in a decrease in LRV1-mediated macrophage survival and consequently decreased parasite persistence. Consistent with these data, miR-155-deficient mice showed a drastic decrease in LRV1-induced disease severity, and lesional macrophages from these mice displayed reduced levels of Akt phosphorylation.

Identification and characterization of microRNAs and their target genes from Nile tilapia (Oreochromis niloticus)

MicroRNAs (miRNAs) are a class of small single-stranded, endogenous 21–22 nt non-coding RNAs that regulate their target mRNA levels by causing either inactivation or degradation of the mRNAs. In recent years, miRNA genes have been identified from mammals, insects, worms, plants, and viruses. In this research, bioinformatics approaches were used to predict potential miRNAs and their targets in Nile tilapia from the expressed sequence tag (EST) and genomic survey sequence (GSS) database, respectively, based on the conservation of miRNAs in many animal species. A total of 19 potential miRNAs were detected following a range of strict filtering criteria. To test the validity of the bioinformatics method, seven predicted Nile tilapia miRNA genes were selected for further biological validation, and their mature miRNA transcripts were successfully detected by stem–loop RT-PCR experiments. Using these potential miRNAs, we found 56 potential targets in this species. Most of the target mRNAs appear to be involved in development, metabolism, signal transduction, transcription regulation and stress responses. Overall, our findings will provide an important foundation for further research on miRNAs function in the Nile tilapia.

Systems Biology Approaches to the Study of Biological Networks Underlying Alzheimer's Disease: Role of miRNAs

MicroRNAs (miRNAs) are emerging as significant regulators of mRNA complexity in the human central nervous system (CNS) thereby controlling distinct gene expression profiles in a spatio-temporal manner during development, neuronal plasticity, aging and (age-related) neurodegeneration, including Alzheimer's disease (AD). Increasing effort is expended towards dissecting and deciphering the molecular and genetic mechanisms of neurobiological and pathological functions of these brain-enriched miRNAs. Along these lines, recent data pinpoint distinct miRNAs and miRNA networks being linked to APP splicing, processing and Aβ pathology (Lukiw et al., Front Genet 3:327, 2013), and furthermore, to the regulation of tau and its cellular subnetworks (Lau et al., EMBO Mol Med 5:1613, 2013), altogether underlying the onset and propagation of Alzheimer's disease. MicroRNA profiling studies in Alzheimer's disease suffer from poor consensus which is an acknowledged concern in the field, and constitutes one of the current technical challenges. Hence, a strong demand for experimental and computational systems biology approaches arises, to incorporate and integrate distinct levels of information and scientific knowledge into a complex system of miRNA networks in the context of the transcriptome, proteome and metabolome in a given cellular environment. Here, we will discuss the state-of-the-art technologies and computational approaches on hand that may lead to a deeper understanding of the complex biological networks underlying the pathogenesis of Alzheimer's disease.

Genome-wide identification and characterization of microRNA genes and their targets in large yellow croaker (Larimichthys crocea)

MicroRNAs (miRNAs or miRs) are a class of non-coding RNAs of 20-25 nucleotides (nt) in length, which regulates the expression of gene in eukaryotic organism. Studies has been confirmed that miRNA plays an important role in various biological and metabolic processes in both animals and plants. Predicting new miRNAs by computer based homology search analysis is an effective way to discover novel miRNAs. Though a large number of miRNAs have been reported in many fish species, reports of miRNAs in large yellow croaker (L. crocea) are limited especially via the computational-based approaches. In this paper, a method of comparative genomic approach by computational genomic homology based on the conservation of miRNA sequences and the stem-loop hairpin secondary structures of miRNAs was adopted. A total of 199 potential miRNAs were predicted representing 81 families. 12 of them were chose to be validated by real time RT-PCR, apart from miR-7132b-5p which was not detected. Results indicated that the prediction method that we used to identify the miRNAs was effective. Furthermore, 948 potential target genes were predicted. Gene ontology (GO) analysis revealed that 175, 287, and 486 target genes were involved in cellular components, biological processes and molecular functions, respectively. Overall, our findings provide a first computational identification and characterization of L. crocea miRNAs and their potential targets in functional analysis, and will be useful in laying the foundation for further characterization of their role in the regulation of diversity of physiological processes.

Hypoxia promotes C-X-C chemokine receptor type 4 expression through microRNA-150 in pancreatic cancer cells

Hypoxia promotes pancreatic cancer progression by triggering cancer cell invasion. However, the mechanism underlying this process remains unclear, hindering the development of effective therapies. The present study aimed to delineate the molecular mechanisms underlying the prometastatic effect of hypoxia in pancreatic cancer cells. The expression of microRNA-150 (miRNA-150) was detected using reverse transcription-quantitative polymerase chain reaction in pancreatic cancer samples and in the hypoxia-induced CaPan2 human pancreatic cancer cell line. The target gene was identified using bioinformatics and a luciferase reporter assay. Inhibition of the expression of C-X-C chemokine receptor type 4 (CXCR4) by miRNA-150 was confirmed using transfection with miRNA-150 mimics. The prometastatic effect of hypoxia was detected using migration assays. The expression of miRNA-150 was shown to be downregulated in pancreatic cancer samples compared with that in normal pancreatic tissue samples. Furthermore, its expression was reduced in hypoxia-induced CaPan2 cells, compared with that in control cells. Bioinformatics and the results of the luciferase reporter assay, demonstrated that miRNA-150 inhibited the expression of CXCR4 by directly targeting the 3' untranslated region of CXCR4 mRNA. The results of the migration assay showed that hypoxia promotes cell migration and invasion. However, this prometastatic effect was reversed by transfection with miRNA-150 mimics. The present results suggest that hypoxia promotes pancreatic cancer migration by downregulating miRNA-150.

Circulating MicroRNAs as Non-Invasive Biomarkers for Early Detection of Non-Small-Cell Lung Cancer

Background

Detection of lung cancer at an early stage by sensitive screening tests could be an important strategy to improving prognosis. Our objective was to identify a panel of circulating microRNAs in plasma that will contribute to early detection of lung cancer.

Material and Methods

Plasma samples from 100 early stage (I to IIIA) non–small-cell lung cancer (NSCLC) patients and 100 non-cancer controls were screened for 754 circulating microRNAs via qRT-PCR, using TaqMan MicroRNA Arrays. Logistic regression with a lasso penalty was used to select a panel of microRNAs that discriminate between cases and controls. Internal validation of model discrimination was conducted by calculating the bootstrap optimism-corrected AUC for the selected model.

Results

We identified a panel of 24 microRNAs with optimum classification performance. The combination of these 24 microRNAs alone could discriminate lung cancer cases from non-cancer controls with an AUC of 0.92 (95% CI: 0.87-0.95). This classification improved to an AUC of 0.94 (95% CI: 0.90-0.97) following addition of sex, age and smoking status to the model. Internal validation of the model suggests that the discriminatory power of the panel will be high when applied to independent samples with a corrected AUC of 0.78 for the 24-miRNA panel alone.

Conclusion

Our 24-microRNA predictor improves lung cancer prediction beyond that of known risk factors.

De novo transcriptome assembly, gene annotation, marker development, and miRNA potential target genes validation under abiotic stresses in Oenanthe javanica

Oenanthe javanica is an aquatic perennial herb with known medicinal properties and an edible vegetable with high vitamin and mineral content. The understanding of the biology of O. javanica is limited by the absence of information on its genome, transcriptome, and small RNA. In this study, transcriptome sequencing and small RNA sequencing were performed to annotate function genes, develop SSR markers and analyze potential target genes of miRNAs in O. javanica. All reads with total nucleotides number of 1,440,321,408 bp were assembled into 58,072 transcripts and 40,208 unigenes. A total of 1,233 SSRs were identified from O. javanica. Generated unigenes were aligned against seven databases and annotated with functions. A total of 29 potential targets were predicted. Expression of 10 miRNAs and their corresponding target genes under abiotic stresses (heat, cold, salinity, and drought) was validated. All ten miRNAs were confirmed to response to abiotic stresses. A pair of miRNA and its target gene was found. This study can serve as a valuable resource for future studies on O. javanica, which may focus on novel gene discovery, SSR development, gene mapping, and miRNA-affected processes and pathways. This can promote the development of the useful medicinal properties of O. javanica in medical science.

Usefulness of circulating microRNAs for the prediction of early preeclampsia at first-trimester of pregnancy

To assess the usefulness of circulating microRNAs (miRNAs) as non-invasive molecular biomarkers for early prediction of preeclampsia, a differential miRNA profiling analysis was performed in first-trimester pooled sera from 31 early preeclampsia patients, requiring delivery before 34 weeks of gestation, and 44 uncomplicated pregnancies using microfluidic arrays. Among a total of 754 miRNAs analyzed, the presence of 63 miRNAs (8%) was consistently documented in the sera from preeclampsia and control samples. Nevertheless, only 15 amplified miRNAs (2%) seemed to be differentially, although modestly, represented (fold change range: 0.4–1.4). After stem loop RT-qPCR from individual samples, the statistical analysis confirmed that none of the most consistent and differentially represented miRNAs (3 overrepresented and 4 underrepresented) were differentially abundant in serum from preeclamptic pregnancies compared with serum from normal pregnancies. Therefore, maternal serum miRNA assessment at first-trimester of pregnancy does not appear to have any predictive value for early preeclampsia.

Human miR-1228 as a stable endogenous control for the quantification of circulating microRNAs in cancer patients

Circulating microRNAs are promising biomarkers for non-invasive testing and dynamic monitoring in cancer patients. However, no consensus exists regarding the normalization of circulating microRNAs in the quantification, making the results incomparable. We investigated global circulating microRNA profiles to identify a stable endogenous control for quantifying circulating microRNAs using three cohorts (n = 544), including 168 control individuals (healthy subjects and those with chronic hepatitis B and cirrhosis) and 376 cancer patients (hepatocellular, colorectal, lung, esophageal, gastric, renal, prostate, and breast cancer patients). GeNorm, NormFinder, and coefficient of variability (CV) were used to select the most stable endogenous control, whereas Ingenuity Pathway Analysis (IPA) was adopted to explore its signaling pathways. Seven candidates (miR-1225-3p, miR-1228, miR-30d, miR-939, miR-940, miR-188-5p, and miR-134) from microarray analysis and four commonly used controls (miR-16, miR-223, let-7a, and RNU6B) from literature were subjected to real-time quantitative reverse transcription-polymerase chain reaction validation using independent cohorts. MiR-1228 (CV = 5.4%) with minimum M value and S value presented as the most stable endogenous control across eight cancer types and three controls. IPA showed miR-1228 to be involved extensively in metabolism-related signal pathways and organ morphology, implying that miR-1228 functions as a housekeeping gene. Functional network analysis found that "hematological system development" was on the list of the top networks that associate with miR-1228, implying that miR-1228 plays an important role in the hematological system. The results explained the steady expression of miR-1228 in the blood. In conclusion, miR-1228 is a promising stable endogenous control for quantifying circulating microRNAs in cancer patients.

Identification of suitable reference genes for hepatic microRNA quantitation

Background

MicroRNAs (miRNAs) are short (~22 nt) endogenous RNAs that play important roles in regulating expression of a wide variety of genes involved in different cellular processes. Alterations in microRNA expression patterns have been associated with a number of human diseases. Accurate quantitation of microRNA levels is important for their use as biomarkers and in determining their functions. Real time PCR is the gold standard and the most frequently used technique for miRNA quantitation. Real time PCR data analysis includes normalizing the amplification data to suitable endogenous control/s to ensure that microRNA quantitation is not affected by the variability that is potentially introduced at different experimental steps. U6 (RNU6A) and RNU6B are two commonly used endogenous controls in microRNA quantitation. The present study was designed to investigate inter-individual variability and gender differences in hepatic microRNA expression as well as to identify the best endogenous control/s that could be used for normalization of real-time expression data in liver samples.

Methods

We used Taqman based real time PCR to quantitate hepatic expression levels of 22 microRNAs along with U6 and RNU6B in 50 human livers samples (25 M, 25 F). To identify the best endogenous controls for use in data analysis, we evaluated the amplified candidates for their stability (least variability) in expression using two commonly used software programs: Normfinder and GeNormplus,

Results

Both Normfinder and GeNormplus identified U6 to be among the least stable of all the candidates analyzed, and RNU6B was also not among the top genes in stability. mir-152 and mir-23b were identified to be the two most stable candidates by both Normfinder and GeNormplus in our analysis, and were used as endogenous controls for normalization of hepatic miRNA levels.

Conclusion

Measurements of microRNA stability indicate that U6 and RNU6B are not suitable for use as endogenous controls for normalizing microRNA relative quantitation data in hepatic tissue, and their use can led to possibly erroneous conclusions.

microRNA-34a is associated with expression of key hepatic transcription factors and cytochromes P450

microRNA (miRNA) mediated regulation of gene expression has emerged as a significant mechanism contributing to variation in gene expression. In this study, we evaluated the potential role of miRNAs in regulating expression of hepatic cytochromes P450 and their transcriptional regulatory genes. We screened the Targetscan database for high scoring miRNA binding site predictions in selected hepatic DMEs and transcription factors. Expression profiling for candidate miRNAs (n=22) and their target genes (n=20) was performed in 50 human liver samples (25 female, 25 male). Significant negative correlations were observed between expression levels of several CYPs/hepatic transcription factors and the hepatic miRNAs studied. Interestingly, hepatic miR-34a demonstrated significant negative correlation with expression levels of multiple hepatic transcription factors (including NR1I2 and HNF4α) and DMEs (CYP3A4, CYP2C19). miR-34a expression was also significantly higher in males than in females in congruence with previous observations of higher CYP3A4 expression in females versus males. A mediation analysis revealed that miR-34a was involved in significant mediation of the association observed between CYP2C19 and several hepatic transcription factors (HNF4α, NR1I2). miR-34a may thus play a key regulatory role and be a key contributory factor to the inter-individual variability observed in expression of key drug metabolizing genes in humans.

Endothelial cell microRNA expression in human late-onset Fuchs' dystrophy

PURPOSE

MicroRNAs (miRNAs) are a class of endogenous noncoding RNA and post transcriptionally modulate gene expression during development and disease. Our study investigated the differential miRNA expression in human Fuchs' endothelial corneal dystrophy (FECD) compared with normal endothelium to identify miRNA sequences that are involved in the pathogenesis of FECD.

METHODS

Comparative miRNA expression profiles of endothelial samples obtained from FECD patients during lamellar corneal transplant surgery and from normal donor globes were generated using OpenArray plate technology. Differential expression of individual miRNAs was validated in the original and in independent samples using stem-loop RT qPCR assays. Expression of miRNA target genes was assessed using qPCR and tissue microarray (TMA) immunolabeling.

RESULTS

Our results demonstrate downregulation of 87 miRNAs in FECD compared with normal endothelium (>3-fold change; P < 0.01). Correspondingly, DICER1, (encoding an endoribonuclease critical to miRNA biogenesis) showed a moderate but significant decrease in FECD samples (P < 0.05). Significant repression of three miR-29 family members (miR-29a-3p, miR-29b-2-5p, and miR-29c-5p) was paralleled by upregulation of their extracellular matrix associated mRNA targets collagen I and collagen IV. Tissue microarray immunolabeling showed histologically verifiable subendothelial collagen I and collagen IV deposition and increased endothelial laminin protein expression in FECD samples.

CONCLUSIONS

The present study provides the first miRNA profile in FECD and normal endothelial cells and demonstrates widespread miRNA downregulation in FECD. Decreased endothelial expression of miR-29 family members may be associated with increased subendothelial extracellular matrix accumulation in FECD.

High-throughput approaches for microRNA expression analysis

Profiling microRNA (miRNA) expression is of widespread interest due to their critical roles in diverse biological processes, including development, cell proliferation, differentiation, and apoptosis. Profiling can be achieved via three major methods: amplification-based (real-time quantitative PCR, qRT-PCR), hybridization-based (microarrays), and sequencing-based (next-generation sequencing (NGS)) technologies. The gold standard is qRT-PCR and serves as a platform for single reverse PCR amplification experiments and for a large number of miRNAs in parallel, both by multiplexing and plate based arrays. Currently, qRT-PCR is used for the validation of miRNA profiling results from other platforms. Hybridization based miRNA profiling by microarrays has become a widely used method especially for biomarker and therapeutic target identification. The data obtained from microarrays also enables functional prediction of miRNAs by correlating miRNA expression patterns to corresponding mRNA and protein profiles. Additionally, miRNA profiling strategies based on deep sequencing allow both the identification of novel miRNAs and relative quantification of miRNAs. Each miRNA profiling strategy has specific strengths and challenges that have to be considered depending on the nature of the research context.In this chapter the high-throughput approaches that can be applied to microRNA profiling are discussed starting from small-scale qRT-PCR technology to a wider one, NGS.

Field evaluation of TaqMan Array Card (TAC) for the simultaneous detection of multiple respiratory viruses in children with acute respiratory infection

Background

Multipathogen reverse transcription real-time PCR (RT-qPCR) platforms have proven useful in surveillance for acute respiratory illness (ARI) and study of respiratory outbreaks of unknown etiology. The TaqMan^® Array Card (TAC, Life Technologies™), can simultaneously test 7 clinical specimens for up to 21 individual pathogens (depending on arrangement of controls and use of duplicate wells) by arrayed singleplex RT-qPCR on a single assay card, using minimal amounts of clinical specimens. A previous study described the development of TAC for the detection of respiratory viral and bacterial pathogens; the assay was evaluated against well-characterized analytical materials and a limited collection of human clinical specimens.

Objectives

We wished to compare TAC assay performance against standard individual RT-qPCR assays for respiratory viral detection, focusing on 10 viruses (adenovirus, human metapneumovirus, human parainfluenza viruses 1–4, influenza viruses A and B, respiratory syncytial virus, and rhinovirus) from a larger collection of human specimens.

Study design

We used specimens from 942 children with ARI enrolled systematically in a population-based, ARI surveillance study (New Vaccine Surveillance Network, NVSN).

Results

Compared with standard individual RT-qPCR assays, the sensitivity of TAC for the targeted viruses ranged from 54% to 95% (54%, 56%, and 75% for adenovirus, human parainfluenza viruses-1 and -2, respectively, and 82%–95% for the other viruses). Assay specificity was 99%, and coefficients of variation for virus controls ranged from 1.5% to 4.5%.

Conclusion

The TAC assay should prove useful for multipathogen studies and rapid outbreak response.

Detection methods for microRNAs in clinic practice

MicroRNAs (miRNA) are short non-coding RNA molecules that regulate gene expression. miRNAs profiles are specific for cell lineages and tissues, and their changes reflect pathological processes. This fact introduces the possibility of their use in diagnostics. The application of miRNAs in diagnostics is critically dependent on the establishment of miRNA profiles that can discriminate patients from normal healthy individuals with good sensitivity and specificity and on the development of methods for their accurate and high-throughput quantification. In this review, we present an overview of some of the different techniques and methods currently used to detect miRNAs. We focus on methods that can be employed in routine clinic diagnostics indicating their advantages as well as their shortcomings, with special attention being paid to the most innovative ones. Since disease-specific miRNAs can be found in blood serum, we also present emerging methods for the detection of circulating miRNAs as a way of fast, reliable and non-invasive diagnostic.

Expression of miR-126 and miR-508-5p in endothelial progenitor cells is associated with the prognosis of chronic heart failure patients

BACKGROUND

MicroRNA (miRNA) expression profiles in endothelial progenitor cells (EPCs) contribute to EPC dysfunction in patients suffering from coronary artery disease. However, it remains unclear whether miRNA expression in EPCs is associated with the prognosis of chronic heart failure (CHF) secondary to ischemic cardiomyopathy (ICM) or non-ischemic cardiomyopathy (NICM).

METHODS AND RESULTS

One hundred six patients with CHF (55 ICM and 51 NICM) and 30 healthy controls were followed until the end of 24 months or when the end point was obtained (cardiovascular death). The miRNA expression profile was analyzed by TaqMan Human MicroRNA Array Set v2.0 in 30 randomly assigned samples (ICM=10, NICM=10, and healthy controls=10). During the 24-month follow-up, 26 patients died from cardiovascular disease. Sixteen miRNAs (miR-126, miR-508-5p, miR-34a, miR-210, miR-490-3p, miR-513-5p, miR-517c, miR-518e, miR-589, miR-220c, miR-200a*, miR-186*, miR-7i*, miR-200b*, miR-595, and miR-662) were found to be differentially expressed between ICM and NICM patients. Survival analysis showed that miR-126 and miR-508-5p levels in EPCs were independent prognostic factors (P=0.003; HR (hazard ratio): 0.19; 95% CI (confidence intervals): 0.06-0.58, P=0.002; HR: 2.292; 95% CI: 1.37-3.84) for the outcome of ICM or NICM patients with CHF. Pathway enrichment analysis showed that the angiogenesis pathway was the most likely pathway regulated by miR-126 and miR-508-5p.

CONCLUSIONS

The miRNAs miR-126 and miR-508-5p are associated with the outcome of ICM and NICM patients with CHF. These two miRNAs could be useful in the diagnosis of CHF patients, and might provide novel targets for prevention and treatment of CHF.

Application of quantitative PCR for the detection of microorganisms in water

The occurrence of microorganisms in water due to contamination is a health risk and control thereof is a necessity. Conventional detection methods may be misleading and do not provide rapid results allowing for immediate action. The quantitative polymerase chain reaction (qPCR) method has proven to be an effective tool to detect and quantify microorganisms in water within a few hours. Quantitative PCR assays have recently been developed for the detection of specific adeno- and polyomaviruses, bacteria and protozoa in different water sources. The technique is highly sensitive and able to detect low numbers of microorganisms. Quantitative PCR can be applied for microbial source tracking in water sources, to determine the efficiency of water and wastewater treatment plants and act as a tool for risk assessment. Different qPCR assays exist depending on whether an internal control is used or whether measurements are taken at the end of the PCR reaction (end-point qPCR) or in the exponential phase (real-time qPCR). Fluorescent probes are used in the PCR reaction to hybridise within the target sequence to generate a signal and, together with specialised systems, quantify the amount of PCR product. Quantitative reverse transcription polymerase chain reaction (q-RT-PCR) is a more sensitive technique that detects low copy number RNA and can be applied to detect, e.g. enteric viruses and viable microorganisms in water, and measure specific gene expression. There is, however, a need to standardise qPCR protocols if this technique is to be used as an analytical diagnostic tool for routine monitoring. This review focuses on the application of qPCR in the detection of microorganisms in water.