A sensitive array for microRNA expression profiling (miChip) based on locked nucleic acids (LNA)

Vertical growth of rhenium disulfide on rGO empowers multi-signal amplification for ultrasensitive MiRNA-21 detection

Unique rhenium disulfide/reduced graphene oxide (ReS2/rGO) nanoframeworks were synthesized with a hierarchical layered and porous structure for the ultrasensitive electrochemical detection of microRNA-21 (miRNA-21) by empowering multi-signal amplification strategy of catalytic hairpin self-assembly-hybridization chain reaction (CHA-HCR). The layered and porous nanostructures endowed ReS2/rGO with a larger specific surface area and more active sites through connecting vertical ReS2 with rGO which was preferable for promoting the electron transfer over electrode surface because of a conductive network. This nanoframework facilitated the loading of adequate gold nanoparticles to fix the capture probe via Au-S bond. In the presence of the target miRNA-21, the CHA-HCR double amplification reaction could be triggered to generate a long double strand with methylene blue (MB) embedded inside. The electrochemical sensing platform was thus empowered by the unique ReS2/rGO nanoframeworks to detect miRNA-21 in the range 1 fM ~ 100 pM with the remarkably enhanced sensitivity through detecting the significantly amplified signal from the REDOX reaction of MB inside the long chain. The verification of the miRNA-21 detection in real blood samples further proved the great potential of this new method with the limit of detection reduced down to 0.057 fM and opens a new window for ReS2 in developing sensitive biosensors for early clinical cancer diagnosis.

Biotin-Based Northern Blotting (BiNoB): A Cost-Efficient Alternative for Detection of Small RNAs

Advances in sequencing technology have led to the discovery of diverse types of regulatory RNAs. Differential transcript levels regulate cellular processes and influence disease severity. Identifying these variations through reliable methods is crucial for understanding the regulatory roles and disease mechanisms of regulatory RNAs. Northern blotting, which is considered the gold standard for differential expression analysis, poses challenges due to various limitations associated with RNA quality and integrity, radioactivity exposure, and associated reagents and expenses. In this protocol, we employ a biotin-based northern blotting (BiNoB) approach that is both convenient and inexpensive, eliminating the need for specialized settings as required with radioactivity-based northern blotting. We comprehensively target various RNA types, making this technique a versatile tool for RNA detection. Additionally, we conduct a comparison between 3'-end labeled probes that were labeled in-house and 5'-end labeled probes that were obtained commercially. Remarkably, our results reveal relatively higher sensitivity with 3'-end labeled probes. Furthermore, we demonstrated that the use of an in-house buffer offered comparable sensitivity to a commercially available buffer, providing another cost-effective alternative. We also aimed to determine the minimum quantity of total RNA required to detect small non-coding RNAs such as tRNA fragments. Whereas previous studies reported the use of 5-10 µg total RNA for tRNA fragment detection, our findings revealed that as little as 1 µg total RNA is sufficient to detect small RNAs like tRNAs and their fragments. This concentration may vary depending on the expression levels of the specific RNAs being detected. © 2024 Wiley Periodicals LLC. Basic Protocol: Biotin-based northern blotting.

An extracellular vesicle microRNA-initiated 3D DNAzyme motor for colorectal cancer diagnosis

MicroRNA is regarded as a significant biomarker for cancer diagnosis, disease process evaluation and therapeutic guidance, and dual-parameter measurement may contribute to a more accurate and realistic assessment. To meet the urgent need for simultaneous detection of multiple biomarkers, we combined three-dimensional DNAzyme motors with single molecule imaging technique to construct a convenient, intuitive, and sensitive approach for the simultaneous detection of dual miRNAs in the free state or in extracellular vesicles. Quantification of target miRNAs can be realized through the detection of amplified fluorescence signals generated by the target miRNA-initiated cleavage of fluorescent substrate strands by the DNAzyme motors. The practicability was systematically validated with microRNA-21-5p and microRNA-10b-5p as targets, acquiring a satisfactory sensitivity sufficient to detect low abundance targets at 0.5 or 1 pM to 100 pM. Besides, the extracellular vesicular miRNAs can be conveniently detected without extraction. The clinical applicability was verified with a series of extracellular vesicles from clinical samples, which exhibited good distinguishability between colorectal cancer patients and healthy donors. In addition to the advantages of good specificity and high sensitivity, the system has potential to be easily adapted by minor alteration of the DNA sequences and fluorophore sets for detection of multiple miRNAs and even other types of biomarkers such as proteins. Therefore, it shows promise to be widely applied in various fields such as early diagnosis of cancer and its prognostic assessment.

Semiarbitrary qPCR for Sensitive Detection of Circulating miRNA via Terminal Deoxynucleotidyl Transferase-Assisted RNA-Primed DNA Polymerization

Circulating microRNAs (miRNAs) have recently emerged as noninvasive disease biomarkers. Quantitative detection of circulating miRNAs could offer significant information for clinical diagnosis due to its significance in the development of biological processes. In response to the current challenges of circulating miRNA detection, we introduce a sensitive, selective, and versatile circulating miRNA detection strategy using terminal deoxynucleotidyl transferase (TdT)-catalyzed RNA-primed DNA polymerization (TCRDP) coupled with semiarbitrary qPCR (SAPCR). Semiarbitrary qPCR was first developed here to detect long fragment targets with only a short-known sequence or to detect a short fragment target after extension with terminal transferase. Besides, the subsequent results show that TdT has a preference for RNA, particularly for extending RNAs with purine-rich and unstructured ends. Consequently, utilizing this assay, we have successfully applied it to the quantitative analysis of circulating miR-122 in animal models, a sensitive and informative biomarker for drug-induced liver injury, and as low as 200 zmol of the target is detected with desirable specificity and sensitivity, indicating that the TCRDP-SAPCR can offer a promising platform for nucleic acids analysis.

microRNA Detection via Nanostructured Biochips for Early Cancer Diagnostics

MicroRNA (miRNA) are constituted of approximately 22 nucleotides and play an important role in the regulation of many physiological functions and diseases. In the last 10 years, an increasing interest has been recorded in studying the expression profile of miRNAs in cancer. Real time-quantitative polymerase chain reaction (RT-qPCR), microarrays, and small RNA sequencing represent the gold standard techniques used in the last 30 years as detection methods. The advent of nanotechnology has allowed the fabrication of nanostructured biosensors which are widely exploited in the diagnostic field. Nanostructured biosensors offer many advantages: (i) their small size allows the construction of portable, wearable, and low-cost products; (ii) the large surface-volume ratio enables the loading of a great number of biorecognition elements (e.g., probes, receptors); and (iii) direct contact of the recognition element with the analyte increases the sensitivity and specificity inducing low limits of detection (LOD). In this review, the role of nanostructured biosensors in miRNA detection is explored, focusing on electrochemical and optical sensing. In particular, four types of nanomaterials (metallic nanoparticles, graphene oxide, quantum dots, and nanostructured polymers) are reported for both detection strategies with the aim to show their distinct properties and applications.

Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion

MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic targets. The prerequisite for designing effective miRNA therapies is accurate discovery of miRNA-disease associations (MDAs), which has attracted substantial research interests during the last 15 years, as reflected by more than 55 000 related entries available on PubMed. Abundant experimental data gathered from the wealth of literature could effectively support the development of computational models for predicting novel associations. In 2017, Chen et al. published the first-ever comprehensive review on MDA prediction, presenting various relevant databases, 20 representative computational models, and suggestions for building more powerful ones. In the current review, as the continuation of the previous study, we revisit miRNA biogenesis, detection techniques and functions; summarize recent experimental findings related to common miRNA-associated diseases; introduce recent updates of miRNA-relevant databases and novel database releases since 2017, present mainstream webservers and new webserver releases since 2017 and finally elaborate on how fusion of diverse data sources has contributed to accurate MDA prediction.

Label-Free miRNA-21 Analysis Based on Strand Displacement and Terminal Deoxynucleotidyl Transferase-Assisted Amplification Strategy

MicroRNAs (miRNAs) are regarded as a rising star in the biomedical industry. By monitoring slight increases in miRNA-21 levels, the possibilities of multi-type malignancy can be evaluated more precisely and earlier. However, the inconvenience and insensitivity of traditional methods for detecting miRNA-21 levels remains challenging. In this study, a partially complementary cDNA probe was designed to detect miRNA-21 with target-triggered dual amplification based on strand displacement amplification (SDA) and terminal deoxynucleotidyl transferase (TdT)-assisted amplification. In this system, the presence of miRNA-21 can hybridize with template DNA to initiate SDA, generating a large number of trigger molecules. With the assistance of TdT and dGTP, the released trigger DNA with 3′-OH terminal can be elongated to a superlong poly(guanine) sequence, and a notable fluorescence signal was observed in the presence of thioflavin T. By means of dual amplification strategy, the sensing platform showed a good response tomiRNA-21 with a detection limit of 1.7 pM (S/N = 3). Moreover, the specificity of this method was verified using a set of miRNA with sequence homologous to miRNA-21. In order to further explore its practical application capabilities, the expression of miRNA in different cell lines was quantitatively analyzed and compared with the qRT-PCR. The considerable results of this study suggest great potential for the application of the proposed approach in clinical diagnosis.

Modern Methods for Assessment of microRNAs

The review discusses modern methods for the quantitative and semi-quantitative analysis of miRNAs, which are small non-coding RNAs affecting numerous biological processes such as development, differentiation, metabolism, and immune response. miRNAs are considered as promising biomarkers in the diagnosis of various diseases.

Target amplification-free detection of urinary microRNA for diabetic nephropathy diagnosis with electrocatalytic reaction

Diabetic nephropathy (DN) is a serious diabetic complication, usually developed from type II diabetes mellitus (T2DM) and known as type II DN (T2DN). New emerging biomarkers for T2DN are microRNAs (miRNAs) which have been studied for the noninvasive early-stage detection of the disease. In this work, a nucleic acid amplification-free miRNA-124 sensor based on target-induced strand displacement on magnetic beads, and by using methylene blue-loaded silica particles as a label was developed. Measurement methods can be either visual observation, spectrophotometry, or electrochemistry. After incubation and separation of the magnetic particles, a blue-violet solution (564 nm) appeared, depending on the concentration of miRNA displaced. For electrochemical detection, methylene blue on the silica served as a redox mediator for the coupled reaction with ferricyanide in the solution phase. At the electrode surface, ferricyanide was re-reduced to ferrocyanide, and was thus available for further reaction with methylene blue, forming an amplification cycle. After optimization, the total assay time was 60 min, and limits of detection were 1 pM, 6 fM, and 0.65 fM, by the naked eye, spectrophotometry and electrochemistry, respectively. The miRNAs in 42 suspected urine samples from patients suffering from either diabetic nephropathy, diabetes mellitus, or chronic kidney disease were validated by comparing with the droplet digital polymerase chain reaction (ddPCR).

Experimental MicroRNA Detection Methods

MicroRNAs (miRNAs) are considerably small yet highly important riboregulators involved in nearly all cellular processes. Due to their critical roles in posttranscriptional regulation of gene expression, they have the potential to be used as biomarkers in addition to their use as drug targets. Although computational approaches speed up the initial genomewide identification of putative miRNAs, experimental approaches are essential for further validation and functional analyses of differentially expressed miRNAs. Therefore, sensitive, specific, and cost-effective microRNA detection methods are imperative for both individual and multiplex analysis of miRNA expression in different tissues and during different developmental stages. There are a number of well-established miRNA detection methods that can be exploited depending on the comprehensiveness of the study (individual miRNA versus multiplex analysis), the availability of the sample and the location and intracellular concentration of miRNAs. This review aims to highlight not only traditional but also novel strategies that are widely used in experimental identification and quantification of microRNAs.

Noncoding RNAs in apoptosis: identification and function

Apoptosis is a vital cellular process that is critical for the maintenance of homeostasis in health and disease. The derailment of apoptotic mechanisms has severe consequences such as abnormal development, cancer, and neurodegenerative diseases. Thus, there exist complex regulatory mechanisms in eukaryotes to preserve the balance between cell growth and cell death. Initially, protein-coding genes were prioritized in the search for such regulatory macromolecules involved in the regulation of apoptosis. However, recent genome annotations and transcriptomics studies have uncovered a plethora of regulatory noncoding RNAs that have the ability to modulate not only apoptosis but also many other biochemical processes in eukaryotes. In this review article, we will cover a brief summary of apoptosis and detection methods followed by an extensive discussion on microRNAs, circular RNAs, and long noncoding RNAs in apoptosis.

Rapid and highly sensitive hairpin structure-mediated colorimetric detection of miRNA

Herein, we report a novel hairpin structure-mediated diagnostic method for the simple and rapid colorimetric detection of miRNA through the sensing of pyrophosphate. When the hairpin structure of the template DNA (h-Probe) was hybridized with the primer, the DNA primer extension mediated by nPfu special enzyme was blocked. However, this h-Probe was extended using nPfu special enzyme, upon the structural change of the template DNA, from a hairpin to a linear structure, in the presence of the target miRNA. The miRNA-hybridized template DNA sequence was cleaved by a duplex-specific nuclease (DSN), which cleaved the DNA from the RNA-DNA hybrid, thereby allowing the target miRNA to be recycled. Primer extension using nPfu special enzyme produced pyrophosphate when nucleotide triphosphate was incorporated into the DNA; this pyrophosphate was sensed in terms of a color change, from pink to colorless, when using pp Probe, a probe developed previously by our group. This novel system for the colorimetric detection of target miRNA operated with high sensitivity (LOD = 132 aM) and selectivity, with the whole detection process requiring only 30 min. Furthermore, this system could also detect miRNA fluorimetrically with similar sensitivity (LOD = 105 aM), highlighting the dual-sensing properties of pp Probe. This unique, extremely simple, and rapid system for the detection of miRNA through a highly sensitive color change would presumably be useful in applications requiring point-of-care detection.

Alterations in MicroRNA gene expression profile in liver transplant patients with hepatocellular carcinoma

Background

Hepatocellular carcinoma (HCC) can lead to liver failure which renders to liver transplant. miRNAs might be detected as biomarkers in subclinical stage of several hepatobiliary disorders like HCC. Therefore, in the present study, alterations in miRNAs as biomarkers were detected in LT patients with HCC.

Methods

Fourteen tissue samples composed of 5 rejected and 9 non-rejected ones were used for studying the miRNAs expression pattern using LNA-array probe assay and the result was evaluated by in house SYBR Green Real-time PCR protocols on 30 other tissue samples composed of 10 rejected and 20 non-rejected ones for the selected miRNAs. All samples were collected from liver transplanted patients with HCC.

Results

The study results revealed that in rejected patients compared to non-rejected ones, hsa-miR-3158-5p, -4449, -4511, and -4633-5p were up-regulated and hsa-miR-122-3p, -194-5p, 548as-3p, and -4284 were down-regulated. ROC curve analysis also confirmed that miR194-5p and -548as-3p in up-regulated and also, miR-3158-5p, -4449 in down-regulated microRNAs are significantly important molecules in rejection.

Conclusion

Finally, the tissue levels of specific miRNAs (especially hsa-miR-3158-5p, -4449, -194-5p and -548as-3p) significantly correlated with the development of HCC, which can be present as biomarkers after further completing studies.

Supplementary information

The online version contains supplementary material available at 10.1186/s12876-020-01596-2.

A novel ratiometric electrochemical biosensing strategy based on T7 exonuclease-assisted homogenous target recycling coupling hairpin assembly-triggered double-signal output for the multiple amplified detection of miRNA

A novel ratiometric electrochemical biosensing strategy based on T7 exonuclease (T7 Exo)-assisted homogenous target recycling coupling hairpin assembly triggered dual-signal output was proposed for the accurate and sensitive detection of microRNA-141 (miRNA-141). Concretely, in the presence of target miRNA, abundant signal transduction probes were released via the T7 Exo-assisted homogenous target recycling amplification, which could be captured by the specially designed ferrocene-labeled hairpin probe (Fc-H1) on -electrode interface and triggered the nonenzymatic catalytic hairpin assembly (Fc-H1 + MB-H2) to realize the cascade signal amplification and dual-signal output. Through such a conformational change process, the electrochemical signal of Fc (IFc) and MB (IMB) is proportionally and substantially decreased and increased. Therefore, the signal ratio of IMB/IFc can be employed to accurately reflect the true level of original miRNA. Benefiting from the efficient integration of the T7 Exo-assisted target recycle, nonenzymatic hairpin assembly and dual-signal output mode, the proposed sensor could realize the amplified detection of miRNA-141 effectively with a wide detection range from 1 fM to 100 pM, and a detection limit of 200 aM. Furthermore, it exhibits outstanding sequence specificity to discriminate mismatched RNA, acceptable reproducibility and feasibility for real sample. This strategy effectively integrated the advantages of multiple amplification and ratiometric output modes, which could provide an accurate and efficient method in biosensing and clinical diagnosis.

Differential microRNAs expression profiles in liver from three different lifestyle modification mice models

Background

MicroRNAs play an important role in many fundamental biological and pathological processes. Defining the microRNAs profile underlying the processes by beneficial and detrimental lifestyles, including caloric restriction (CR), exercise and high-fat diet (HF), is necessary for understanding both normal physiology and the pathogenesis of metabolic disease. We used the microarray to detect microRNAs expression in livers from CR, EX and HF mice models. After predicted potential target genes of differentially expressed microRNAs with four algorithms, we applied GO and KEGG to analyze the function of predicted microRNA targets.

Results

We describe the overall microRNAs expression pattern, and identified 84 differentially expressed microRNAs changed by one or two or even all the three lifestyle modifications. The common and different enriched categories of gene function and main biochemical and signal transduction pathways were presented.

Conclusions

We provided for the first time a comprehensive and thorough comparison of microRNAs expression profiles in liver among these lifestyle modifications. With this knowledge, our findings provide us with an overall vision of microRNAs in the molecular impact of lifestyle on health as well as useful clues for future and thorough research of the role of microRNAs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-021-07507-3.

Circulating miRNA in atherosclerosis: a clinical biomarker and early diagnostic tool

Atherosclerosis, which is a vascular disease, is characterized by narrowing the arteries and forming plaque inside arteries. There is a record 17.5 million associated deaths recorded annually, representing 31% of global death. It has been noted that there is an association between vascular fibrosis and atherosclerosis. The thickening of the arterial wall and reduction of the lumen diameter may cause unwarranted deposition of extracellular matrix (ECM), and these conditions help in the progression of many clinical diseases and pathological conditions such as atherosclerosis. Here, we reviewed the involvement of various circulating microRNAs (miRNAs) in the very early diagnosis of atherosclerosis. We have also tried to provide an insight into the advantages and validation of circulating miRNAs through different techniques. We have discussed different circulating miRNAs, such as miR-17, miR-17-5p, miR-29b, miR-30, miR-92a, miR-126, miR-143, miR-145, miR-146a, miR-212, miR-218, miR-221, miR-222, miR-361-5p, as a biomarker for clinical diagnosis of atherosclerosis. The insightful demonstration in this review will offer a better opportunity for the researchers and technology developers in understanding the current scenario of circulating miRNA, which could facilitate them in improving the current diagnostic technologies of atherosclerosis in clinics.

Advances in multiplexed techniques for the detection and quantification of microRNAs

MicroRNA detection is currently a crucial analytical chemistry challenge: almost 2000 papers were referenced in PubMed in 2018 and 2019 for the keywords "miRNA detection method". MicroRNAs are potential biomarkers for multiple diseases including cancers, neurodegenerative and cardiovascular diseases. Since miRNAs are stably released in bodily fluids, they are of prime interest for the development of non-invasive diagnosis methods, such as liquid biopsies. Their detection is however challenging, as high levels of sensitivity, specificity and robustness are required. The analysis also needs to be quantitative, since the aim is to detect miRNA concentration changes. Moreover, a high multiplexing capability is also of crucial importance, since the clinical potential of miRNAs probably lays in our ability to perform parallel mapping of multiple miRNA concentrations and recognize typical disease signature from this profile. A plethora of biochemical innovative detection methods have been reported recently and some of them provide new solutions to the problem of sensitive multiplex detection. In this review, we propose to analyze in particular the new developments in multiplexed approaches to miRNA detection. The main aspects of these methods (including sensitivity and specificity) will be analyzed, with a particular focus on the demonstrated multiplexing capability and potential of each of these methods.

Identification of miR-320 family members as potential diagnostic and prognostic biomarkers in myelodysplastic syndromes

Myelodysplastic syndromes (MDS) are characterized by ineffective hematopoiesis and the abnormal differentiation of hematopoietic stem cells. An increasing number of researches have demonstrated that microRNAs play crucial roles in the pathogenesis of myelodysplastic syndromes. Herein, we aimed to identify novel potential microRNAs bound up with the diagnosis and prognosis of MDS. MiRNA microarray analysis was used to screen deregulated microRNAs in the bone marrow of MDS patients. qRT-PCR was employed to confirm the microarray results. All members of miR-320 family (miR-320a, miR-320b, miR-320c, miR-320d, and miR-320e) were significantly increased in MDS patients compared to normal control. Although we found no correlation between miR-320 family and most clinical characteristics, high miR-320c and miR-320d expression seemed to be associated with high numbers of bone marrow (BM) blasts and worse karyotype. High expression of all the members of the miR-320 family seemed to be associated with a high prognostic score based on International Prognostic Scoring System (IPSS). The areas under the miR-320 family member ROC curves were 0.9037 (P < 0.0001), 0.7515 (P = 0.0002), 0.9647 (P < 0.0001), 0.8064 (P < 0.0001) and 0.9019 (P < 0.0001). Regarding Kaplan-Meier analysis, high miR-320c and miR-320d expression were related to shorter overall survival (OS). Moreover, multivariate analysis revealed the independent prognostic value of miR-320d for OS in MDS. The expression of miR-320 family members was up-regulated in MDS, and miR-320 family members could serve as candidate diagnostic biomarkers for MDS. High expression of miR-320d was an independent prognostic factor for OS in MDS.

MicroRNAs Regulating Autophagy in Neurodegeneration

Social and economic impacts of neurodegenerative diseases (NDs) become more prominent in our constantly aging population. Currently, due to the lack of knowledge about the aetiology of most NDs, only symptomatic treatment is available for patients. Hence, researchers and clinicians are in need of solid studies on pathological mechanisms of NDs. Autophagy promotes degradation of pathogenic proteins in NDs, while microRNAs post-transcriptionally regulate multiple signalling networks including autophagy. This chapter will critically discuss current research advancements in the area of microRNAs regulating autophagy in NDs. Moreover, we will introduce basic strategies and techniques used in microRNA research. Delineation of the mechanisms contributing to NDs will result in development of better approaches for their early diagnosis and effective treatment.

A graphene-based fluorescent nanoprobe for simultaneous imaging of dual miRNAs in living cells

MicroRNAs (miRNAs) are regarded as important biomarkers for disease diagnostics and therapeutics due to their significant regulatory roles in physiologic and pathologic processes. Herein, a versatile nanoprobe based on reduced graphene oxide (rGO) and nucleic acid (DNA) probe was prepared for simultaneously visualize miR-451a and miR-214-3p in living cells. In vitro experiments demonstrated that the nanoprobe exhibits excellent selectivity and outstanding sensitivity as low as 1 nM towards miR-451a and miR-214-3p. Moreover, the detection signals of miRNAs have good linearity in their respective concentration ranges (miR-451a: 1-100 nM, Y₁ = 9.3062X₁+114.85 (R² = 0.9965). miR-214-3p: 1-200 nM, Y₂ = 1.4424X₂+91.312 (R² = 0.9961)). Finally, simultaneous dual-color imaging of miR-451a and miR-214-3p in human breast cancer cells (MDA-MB-231) was realized by exploiting the P₁&P₂@rGO nanoprobe. In summary, this simple and effective strategy provides a general sensing platform for highly sensitive detection and simultaneous imaging of dual miRNAs in living cells.

microRNAs in oral cancer: Moving from bench to bed as next generation medicine

Oral cancer is the thirteenth most common cancer in the world, with India contributing to 33% of the global burden. Lack of specific non-invasive markers, non-improvement in patient survival and tumor recurrence remain a major clinical challenge in oral cancer. Epigenetic regulation in the form of microRNAs (miRs) that act as tumor suppressor miRs or oncomiRs has gained significant momentum with the advancement in the field, suggesting the potential for clinical application of miRs in oral cancer. The current review of literature identified miR-21, miR-27a(-3p), miR-31, miR-93, miR-134, miR-146, miR-155, miR-196a, miR-196b, miR-211, miR-218, miR-222, miR-372 and miR-373 to be up-regulated and let-7a, let-7b, let-7c, let-7d, let-7e, let-7f, let-7g, let-7i, miR-26a, miR-99a-5p, miR-137, miR-139-5p, miR-143-3p, miR-184 and miR-375 to be down-regulated in oral cancer. Mechanistic studies have uncovered several miRs that are deregulated at varying levels and in different stages of oral cancer progression, thus providing clinical utility in better diagnosis as well as usefulness in prognosis by identifying patients with poor prognosis or stratifying patients based on responsiveness to chemo- and radio-therapy. Lastly, exogenous modulation of miR expression using miRNA-based drugs in combination with first-line agents may be adopted as a new therapeutic modality to treat oral cancer. Knowledge of miRs and their involvement in key molecular processes, clinical association, responsiveness to therapy and clinical advancement may highlight additional avenues in order to improve patient morbidity and mortality. Furthermore, combinatorial approaches with miR-therapy may be efficacious in oral cancer.

Microarray analysis of differentially expressed microRNAs in myelodysplastic syndromes

BACKGROUND

Our study aimed to analyze differential microRNA expression between myelodysplastic syndromes (MDS) and normal bone marrow, and to identify novel microRNAs relevant to MDS pathogenesis.

METHODS

MiRNA microarray analysis was used to profile microRNA expression levels in MDS and normal bone marrow. Quantitative real-time polymerase chain reaction was employed to verify differentially expressed microRNAs.

RESULTS

MiRNA microarray analysis showed 96 significantly upregulated (eg, miR-146a-5p, miR-151a-3p, miR-125b-5p) and 198 significantly downregulated (eg, miR-181a-2-3p, miR-124-3p, miR-550a-3p) microRNAs in MDS compared with normal bone marrow. The quantitative real-time polymerase chain reaction confirmed the microarray analysis: expression of six microRNAs (miR-155-5p, miR-146a-5p, miR-151a-3p, miR-221-3p, miR-125b-5p, and miR-10a-5p) was significantly higher in MDS, while 3 microRNAs (miR-181a-2-3p, miR-124-3p, and miR-550a-3p) were significantly downregulated in MDS. Bioinformatics analysis demonstrated that differentially expressed microRNAs might participate in MDS pathogenesis by regulating hematopoiesis, leukocyte migration, leukocyte apoptotic process, and hematopoietic cell lineage.

CONCLUSIONS

Our study indicates that differentially expressed microRNAs might play a key role in MDS pathogenesis by regulating potential relevant functional and signaling pathways. Targeting these microRNAs may provide new treatment modalities for MDS.

Analysis of extracellular vesicle miRNA profiles in heart failure

Extracellular vesicles (EVs) have recently emerged as an important carrier for various genetic materials including microRNAs (miRs). Growing evidences suggested that several miRs transported by EVs were particularly involved in modulating cardiac function. However, it has remained unclear what miRs are enriched in EVs and play an important role in the pathological condition. Therefore, we established the miR expression profiles in EVs from murine normal and failing hearts and consecutively identified substantially altered miRs. In addition, we have performed bioinformatics approach to predict potential cardiac outcomes through the identification of miR targets. Conclusively, we observed approximately 63% of predicted targets were validated with previous reports. Notably, the predicted targets by this approach were often involved in both beneficial and malicious signalling pathways, which may reflect heterogeneous cellular origins of EVs in tissues. Lastly, there has been an active debate on U6 whether it is a proper control. Through further analysis of EV miR profiles, miR‐676 was identified as a superior reference control due to its consistent and abundant expressions. In summary, our results contribute to identifying specific EV miRs for the potential therapeutic targets in heart failure and suggest that miR‐676 as a new reference control for the EV miR studies.

Single-cell sequencing of miRNAs: A modified technology

The recent development of next-generation sequencing technologies has offered valuable insights into individual cells. This technology is centered on the characterization of single cells for epigenomics, genomics, and transcriptomics. Ever since the first report appeared in 2009, the single-cell RNA-sequencing saga started to explore deeper into the mechanics intrigued within a single cell. microRNA (miRNA) has been increasingly recognized as an essential molecule triggering an additional layer for gene regulation. Therefore, single-cell sequencing of miRNAs is crucial to explore the logical riddles surrounding the epigenomics, genomics, and transcriptomics of an individual cell. Scientists from the Vienna Biocenter Campus have lately performed single-cell sequencing of miRNAs in the fly, Drosophila, and nematode, Caenorhabditis elegans. In this review, we present the latest scientific explorations supported by all-inclusive data on this novel subject matter of next-generation sequencing.

A Lamping U-Shaped Fiber Biosensor Detector for MicroRNA

This study presents a U-shaped optical fiber developed for a facile application of microRNA detection. It is fabricated by the lamping process and packaged in a quartz tube to eliminate human negligence. In addition, silanization and electrostatic self-assembly are employed to bind gold nanoparticles and miRNA-133a probe onto the silicon dioxide of the fiber surface. For Mahlavu of hepatocellular carcinoma (HCC), detection is determined by the wavelength shift and transmission loss of a U-shaped optical fiber biosensor. The spectral sensitivity of wavelength and their coefficient of determination are found at −218.319 nm/ ng/mL and 0.839, respectively. Concurrently, the sensitivity of transmission loss and their coefficient of determination are found at 162.394 dB/ ng/mL and 0.984, respectively. A method for estimating the limit of detection of Mahlavu is at 0.0133 ng/mL. The results show that the proposed U-shaped biosensor is highly specific to miRNA-133a and possesses good sensitivity to variations in specimen concentration. As such, it could be of substantial value in microRNA detection.

A highly sensitive and selective signal-on strategy for microRNA quantification

MicroRNAs (miRNAs) are associated with physiological and pathological processes. They are recognized as biomarkers for diseases diagnosis and treatment evaluation. Herein we propose a simple and cost-effective HPLC method for quantitative assay of target miRNAs with femtomolar sensitivity, single-base discrimination selectivity and low background. The assay is based on an innovative signal-on strategy. In this strategy, polyadenylation of poly(A) polymerase extends an all 'A' sequence at the end of target miRNA, and the substantially increased number of adenine bases are labeled with 2-Chloroacetaldehyde (CAA) to open a signal-on mode and realize a signal amplification. The linearly amplified fluorescence signal is separated from other inference signals and quantified by high performance liquid chromatography with fluorescence detection (HPLC-FD). Combining with affinity magnetic solid phase extraction (MSPE), the method is well suited for analysis of complex biological samples such as serum and cell lysate with nearly zero background fluorescence. Taking miRNA-21 as the model analyte, this absolute quantification method has a limit of detection of 200 fM and a linear calibration curve (R² = 0.999) in the range from 2.00 pM to 1.00 nM. Using locked nucleic acid (LNA) modified probes rather than ssDNA probes, the assay selectivity is improved. Moreover, analysis of bovine serum and cell lysate samples by using the method is demonstrated. Intracellular content of miRNA-21 is found to be 0.0150 amol/cell in MCF-7 cells with an assay repeatability of 4.0% (RSD, n = 3). The present HPLC quantification of miRNA offers an accurate, reliable, and cost-effective means for quantitative assay of miRNAs occurring in biological samples. Also importantly, it eliminates the need for total RNA isolation for the analysis. It may be useful for more effective diagnosis of diseases and therapeutic evaluation.

Colocalized Particle Counting Platform for Zeptomole Level Multiplexed Quantification

For multiplexed detection, it is important yet challenging to simultaneously meet the requirement of sensitivity, throughput, and implementation convenience for practical applications. Using the detection of DNAs and miRNAs for illustration, we present a colocalized particle counting platform that can realize the separation-free multiplexed detection of 6 nucleic acid targets with a zeptomole sensitivity and a dynamic range of up to 5 orders of magnitude. The presence of target induces the formation of a sandwich nanostructure via hybridization; thus, there is an occurrence of colocalization of two microbeads with two different colors. The sequence specific coding is realized by an arbitrary combination of two fluorescence channels with different emitting colors. The platform presents robustness in detecting multiple nucleic acid targets with a minimal cross talk and matrix effect as well as the ability to distinguish the specific miRNA from members of the same family. The results of simultaneous detection of 3 miRNAs in 3 different cell lines present straight consistency with that of the standard qRT-PCR. This platform can be adapted to other multiplexing designs such as the "turn-off" mode, in which the proportion of colocalized microbeads is decreased due to the strand-displacement reaction initiated by the specific target. This separation-free platform offers the possibility to achieve the on-site multiplexed detection with compatibility to different experimental designs and extensibility to other signal sources for enumeration.

Sensing of circulating cancer biomarkers with metal nanoparticles

The analysis of circulating cancer biomarkers, including cell-free and circulating tumor DNA, circulating tumor cells, microRNA and exosomes, holds promise in revolutionizing cancer diagnosis and prognosis using body fluid analysis, also known as liquid biopsy. To enable clinical application of these biomarkers, new analytical tools capable of detecting them in very low concentrations in complex sample matrixes are needed. Metal nanoparticles have emerged as extraordinary analytical scaffolds because of their unique optoelectronic properties and ease of functionalization. Hence, multiple analytical techniques have been developed based on these nanoparticles and their plasmonic properties. The aim of this review is to summarize and discuss the present development on the use of metal nanoparticles for the analysis of circulating cancer biomarkers. We examine how metal nanoparticles can be used as (1) analytical transducers in various sensing principles, such as aggregation induced colorimetric assays, plasmon resonance energy transfer, surface enhanced Raman spectroscopy, and refractive index sensing, and (2) signal amplification elements in surface plasmon resonance spectroscopy and electrochemical detection. We critically discuss the clinical relevance of each category of circulating biomarkers, followed by a thorough analysis of how these nanoparticle-based designs have overcome some of the main challenges that gold standard analytical techniques currently face, and what new directions the field may take in the future.

Biosensors for early diagnosis of pancreatic cancer: a review

Pancreatic cancer is characterized by extremely high mortality and poor prognosis and is projected to be the leading cause of cancer deaths by 2030. Due to the lack of early symptoms and appropriate methods to detect pancreatic carcinoma at an early stage as well as its aggressive progression, the disease is often quite advanced by the time a definite diagnosis is established. The 5-year relative survival rate for all stages is approximately 8%. Therefore, detection of pancreatic cancer at an early surgically resectable stage is the key to decrease mortality and to improve survival. The traditional methods for diagnosing pancreatic cancer involve an imaging test, such as ultrasound or magnetic resonance imaging, paired with a biopsy of the mass in question. These methods are often expensive, time consuming, and require trained professionals to use the instruments and analyze the imaging. To overcome these issues, biosensors have been proposed as a promising tool for the early diagnosis of pancreatic cancer. The present review critically discusses the latest developments in biosensors for the early diagnosis of pancreatic cancer. Protein and microRNA biomarkers of pancreatic cancer and corresponding biosensors for pancreatic cancer diagnosis have been reviewed, and all these cases demonstrate that the emerging biosensors are becoming an increasingly relevant alternative to traditional techniques. In addition, we discuss the existing problems in biosensors and future challenges.

Reusable Bioluminescent Sensor for Ultrasensitive MicroRNA Detection Based on a Target-Introducing "Fuel-Loading" Mechanism

As a kind of important potential biomarkers, the expression level of some microRNAs (miRNAs) is closely related to cancer development and progression. Herein, a reusable ultra-sensitive "fuel-loadings" bioluminescent sensor was constructed to detect the trace miRNA based on the cascading signal amplification, which combined the target-introducing "fuel-loading" mechanism and cyclic bioluminescence assay. In this sensor, magnetic beads labeled with hairpin DNA probes (hDNA) could specifically hybridize with the target miRNA and isolate these targets from samples. Then, the target-introducing "fuel loading" mechanism worked because the poly(A) polymerase can catalyze the template-independent sequential addition of adenosine monophosphate (AMP) to the 3' ends of the miRNA targets to produce long poly(A) tails. The long poly(A) tails provided lots of 5'AMPs (cleaved by Exonuclease T), which further as fuels were converted into adenosine-triphosphate (ATP) to generate an enhanced bioluminescent signal by cyclic AMP pyrophosphorylation-ATP dephosphorylation. The "fuel-loadings" bioluminescent sensor realized a high sensitivity with a limit-of-detection of about 22.6 aM for miRNA 21. Moreover, this "fuel-loadings" bioluminescent sensor not only achieved regenerable and reusable measurement in the same microwell to decrease the analysis costs, but also could directly detect miRNA 21 in the serum without complicated extraction procedures. It showed excellent coherence with quantitative reverse transcription polymerase chain reaction for miRNA 21 detection of cancer patients' samples, indicating clinical translation potential for miRNA detection.

RNA Interference and Small RNA Analysis

Small silencing RNAs have provided powerful reverse genetics tools and have opened new areas of research. This introduction describes the use of RNAi to suppress expression of individual genes for loss-of-function analysis. It also summarizes methods for measuring specific and global changes in small RNA expression, as well as methods to inhibit the function of individual endogenous small RNA species such as miRNAs.

Fluorometric determination of microRNA-122 by using ExoIII-aided recycling amplification and polythymine induced formation of copper nanoparticles

The authors describe a method for the determination of microRNA-122 by using terminal deoxynucleotidyl transferase (TdT). It is based on the use of polythymine and exonuclease III-aided cycling amplification. A 3'-phosphorylated hairpin probe 1 (H₁) and a hairpin probe 2 (H₂) were designed. In the presence of the microRNA, hybridization and enzymatic cleavage will occur and produce lots of 3'-hydroxylated ssDNA which can be tailed by TdT and converted into long polythymine (polyT) sequences. These can be used to synthesize copper nanoparticles (CuNPs) with fluorescence excitation/emission maxima at 350 nm/630 nm. This method shows good selectivity and high sensitivity with a linear response in the 1.00 × 10² fM and 1.00 × 10⁶ fM microRNA concentration range and a 44 fM limit of detection. It was successfully applied to determination of microRNA in spiked serum samples. Graphical abstract A label-free and highly sensitive fluorometric method is described for the assay of microRNA on the basis of target-triggered two-cycle amplification and combining with terminal TdT. It produces a series superlong polyT that can be used for synthesis of copper nanoclusters (CuNCs) displaying red fluorecence.

MicroRNA sensors based on gold nanoparticles

MicroRNAs (miRNAs) are small regulatory RNAs, the dysregulation of which has been associated with the progression of several human diseases, including cancer. Interestingly, these molecules can be used as biomarkers for early disease diagnosis and can be found in a variety of body fluids and tissue samples. However, their specific properties and very low concentrations make their detection rather challenging. In this regard, current detection methods are complex, cost-ineffective, and of limited application in point-of-care settings or resource-limited facilities. Recently, nanotechnology-based approaches have emerged as promising alternatives to conventional miRNA detection methods and paved the way for research towards sensitive, fast, and low-cost detection systems. In particular, due to their exceptional properties, the use of gold nanoparticles (AuNPs) has significantly improved the performance of miRNA biosensors. This review discusses the application of AuNPs in different miRNA sensor modalities, commenting on recently reported examples. A practical overview of each modality is provided, highlighting their future use in clinical diagnosis. Graphical abstract ᅟ.

MicroRNA Signature of Traumatic Brain Injury: From the Biomarker Discovery to the Point-of-Care

Traumatic brain injury (TBI) is a serious problem that causes high morbidity and mortality around the world. Currently, no reliable biomarkers are used to assess the severity and predict the recovery. Many protein biomarkers were extensively studied for diagnosis and prognosis of different TBI severities such as S-100β, glial fibrillary acidic protein (GFAP), neuron-specific enolase (NSE), neurofilament light chain (NFL), cleaved tau protein (C-tau), and ubiquitin C-terminal hydrolase-L1 (UCH-L1). However, none of these candidates is currently used in the clinical practice, due to relatively low sensitivity, for the diagnosis of mild TBI (mTBI) or mild to moderate TBI (MMTBI) patients who are clinically well and do not have a detectable intracranial pathology on the scans. MicroRNAs (miRNAs or miRs) are a class of small endogenous molecular regulators, which showed to be altered in different pathologies, including TBI and for this reason, their potential role in diagnosis, prognosis and therapeutic applications, is explored. Promising miRNAs such as miR-21, miR-16 or let-7i were identified as suitable candidate biomarkers for TBI and can differentiate mild from severe TBI. Also, they might represent new potential therapeutic targets. Identification of miRNA signature in tissue or biofluids, for several pathological conditions, is now possible thanks to the introduction of new high-throughput technologies such as microarray platform, Nanostring technologies or Next Generation Sequencing. This review has the aim to describe the role of microRNA in TBI and to explore the most commonly used techniques to identify microRNA profile. Understanding the strengths and limitations of the different methods can aid in the practical use of miRNA profiling for diverse clinical applications, including the development of a point-of-care device.

MicroRNA Profile Differences in Neonates at Risk for Cerebral Palsy

BACKGROUND

MicroRNAs; miRs are used as biomarkers in the diagnosis of several diseases. Cerebral palsy; CP, resulting from perinatal brain injury, cannot be diagnosed until 18-24 months old. Biomarkers to predict CP and assess response to investigational therapies are needed. We hypothesized that miRs expressed in neonates with the CP risk factors of abnormal tone and/or intraventricular hemorrhage; IVH differ from those without risk factors.

METHODS

This was a cohort study of neonates at risk for CP. Subjects <32 weeks gestation and <1500 grams were recruited from neonatal intensive care units at a large urban delivery hospital and an adjacent children's hospital. Thirty-one plasma samples were evaluated. An unbiased examination was performed by locked nucleic acid quantitative real time - polymerase chain reaction; qRT-PCR. Results were evaluated in the context of IVH and abnormal tone.

RESULTS

Plasma miR profiles in neonates at risk for CP differ when comparing those with and without IVH, and with and without abnormal tone. Restricted profiles were found in each condition with greater differences in the tone comparison than the IVH comparison.

CONCLUSION

Plasma miR profiles show potential in predicting CP. This study also suggests biologically plausible candidates for future studies.

MicroRNAs in Smoking-Related Carcinogenesis: Biomarkers, Functions, and Therapy

Long-term heavy cigarette smoking is a well-known high-risk factor for carcinogenesis in various organs such as the head and neck, lungs, and urinary bladder. Furthermore, cigarette smoking can systemically accelerate aging, and as the result, promoting carcinogenesis via changing the host microenvironment. Various inflammatory factors, hormones, and chemical mediators induced by smoking mediate carcinoma-related molecules and induce carcinogenesis. MicroRNAs (miRNAs) are a family of short noncoding RNA molecules that bind to mRNAs and inhibit their expression. Cigarette smoke induces the expression of various miRNAs, many of which are known to function in the post-transcriptional silencing of anticancer molecules, thereby leading to smoking-induced carcinogenesis. Analysis of expression profiles of smoking-induced miRNAs can help identify biomarkers for the diagnosis and prognosis of smoking-related cancers and prediction of therapeutic responses, as well as revealing promising therapeutic targets. Here, we introduce the most recent and useful findings of miRNA analyses focused on lung cancer and urinary bladder cancer, which are strongly associated with cigarette smoking, and discuss the utility of miRNAs as clinical biomarkers.

Spatial Analysis of Nanofluidic-Embedded Biosensors for Wash-Free Single-Nucleotide Difference Discrimination

In this work, we demonstrate that the analysis of spatially resolved nanofluidic-embedded biosensors permits the fast and direct discrimination of single-nucleotide difference (SND) within oligonucleotide sequences in a single step interaction. We design a sensor with a linear dimension much larger than the channel depth in order to ensure that the reaction over the whole sensor is limited by the convection rate. Thus, the targets are fully collected, inducing a nonuniform spatial hybridization profile. We also use the nanoscale height of the channel, which enables us to minimize the amount of labeled molecules flowing over the sensor and hence to reduce the fluorescence background, to carry out real-time hybridization detection by fluorescence microscopy. Taken together, these design rules allow us to show that the spatial hybridization profile depends on the duplex affinity, and we speculate that the on and off-rate constants can be inferred during target injection, which is not possible in local analysis where the dissociation step through rinsing must be conducted. We finally manage to discriminate a GT mismatch on a microRNA sequence by optimizing the interaction temperature and the probe design after a few minutes of interaction in a single step protocol. This work may be applied to any biosensing transduction scheme with spatial resolution, e.g., surface plasmon resonance imaging, integrated into nanofluidic channels for applications where high oligonucleotide sequence selectivity and short analysis times are required.

A Highly Sensitive Strategy for Fluorescence Imaging of MicroRNA in Living Cells and in Vivo Based on Graphene Oxide-Enhanced Signal Molecules Quenching of Molecular Beacon

In situ imaging of microRNA (miRNA) in living cells and in vivo is beneficial for promoting the studies on miRNA-related physiological and pathological processes. However, the current strategies usually have a low signal-to-background ratio, which greatly affects the sensitivity and imaging performance. To solve this problem, we developed a highly sensitive strategy for fluorescence imaging of miRNA in living cells and in vivo based on graphene oxide (GO)-enhanced signal molecule quenching of a molecular beacon (MB). 2Cy5-MB was designed by coupling two Cy5 molecules onto the opposite ends of MB. The fluorescence intensities of two Cy5 molecules were reduced because of the self-quenching effect. After adsorbing on the GO surface, the fluorescence quenching of the molecules was enhanced by fluorescence resonance energy transfer. This double-quenching effect significantly reduced the fluorescence background. In the presence of one miRNA molecule, the fluorescence signals of two Cy5 molecules were simultaneously recovered. Therefore, a significantly enhanced signal-to-background ratio was obtained, which greatly improved the detection sensitivity. In the presence of miRNA, the fluorescence intensity of 2Cy5-MB-GO recovered about 156 times and the detection limit was 30 pM. Compared with 1Cy5-MB-GO, the elevated fluorescence intensity was enhanced 8 times and the detection limit was reduced by an order of magnitude. Furthermore, fluorescence imaging experiments demonstrated that 2Cy5-MB-GO could visually detect microRNA-21 in various cancer cells and tumor tissues. This simple and effective strategy provides a new sensing platform for highly sensitive detection and simultaneous imaging analysis of multiple low-level biomarkers in living cells and in vivo.

Label-free and sensitive microRNA detection based on a target recycling amplification-integrated superlong poly(thymine)-hosted copper nanoparticle strategy

Poly(thymine)-hosted copper nanoparticles (poly T-CuNPs) have emerged as a promising label-free fluorophore for bioanalysis, but its application in RNA-related studies is still rarely explored. Herein, by utilizing duplex-specific nuclease (DSN) as a convertor to integrate target recycling mechanism into terminal deoxynucleotidyl transferase (TdT)-mediated superlong poly T-CuNPs platform, a specific and sensitive method for microRNA detection has been developed. In this strategy, a 3'-phosphorylated DNA probe can hybridize with target RNA and then be cut by DSN to produce 3'-hydroxylated fragments, which can be further tailed by TdT with superlong poly T for fluorescent CuNPs synthesis. As proof of concept, an analysis of let-7d was achieved with a good linear correlation between 20 and 1000 pM (R² = 0.9965) and a detection limit of 20 pM. Moreover, both homologous and heterologous microRNAs were also effectively discriminated. This strategy might pave a brand-new way for designing label-free and sensitive microRNA assays.

Diagnosis and Assessment of Microbial Infections with Host and Microbial MicroRNA Profiles

MicroRNAs (miRNAs) encoded by viral genome or host have been found participating in host-microbe interactions. Differential expression profiles of miRNAs were shown linking to specific disease pathologies which indicated its potency as diagnostic/prognostic biomarkers of infectious disease. This was emphasized by the discovery of circulating miRNAs which were found to be remarkably stable in mammalian biofluids. Standardized methods of miRNA quantification including RNA isolation should be established before they will be ready for use in clinical practice.

Peptide Nucleic Acid-Based Biosensors for Cancer Diagnosis

The monitoring of DNA and RNA biomarkers freely circulating in the blood constitutes the basis of innovative cancer detection methods based on liquid biopsy. Such methods are expected to provide new opportunities for a better understanding of cancer disease at the molecular level, thus contributing to improved patient outcomes. Advanced biosensors can advance possibilities for cancer-related nucleic acid biomarkers detection. In this context, peptide nucleic acids (PNAs) play an important role in the fabrication of highly sensitive biosensors. This review provides an overview of recently described PNA-based biosensors for cancer biomarker detection. One of the most striking features of the described detection approaches is represented by the possibility to detect target nucleic acids at the ultra-low concentration with the capability to identify single-base mutations.

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening

The development of a minimally invasive test, such as liquid biopsy, for early lung cancer detection in its preclinical phase is crucial to improve the outcome of this deadly disease. MicroRNAs (miRNAs) are tissue specific, small, non-coding RNAs regulating gene expression, which may act as extracellular messengers of biological signals derived from the cross-talk between the tumor and its surrounding microenvironment. They could thus represent ideal candidates for early detection of lung cancer. In this work, a methodological workflow for the prospective validation of a circulating miRNA test using custom made microfluidic cards and quantitative Real-Time PCR in plasma samples of volunteers enrolled in a lung cancer screening trial is proposed. In addition, since the release of hemolysis-related miRNAs and more general technical issues may affect the analysis, the quality control steps included in the standard operating procedures are also presented. The protocol is reproducible and gives reliable quantitative results; however, when using large clinical series, both pre-analytical and analytical features should be cautiously evaluated.

miR-503-5p confers drug resistance by targeting PUMA in colorectal carcinoma

The development of multidrug-resistance (MDR) is a major contributor to death in colorectal carcinoma (CRC). Here, we investigated the possible role of microRNA (miR)-503-5p in drug resistant CRC cells. Unbiased microRNA array screening revealed that miR-503-5p is up-regulated in two oxaliplatin (OXA)-resistant CRC cell lines. Overexpression of miR-503-5p conferred resistance to OXA-induced apoptosis and inhibition of tumor growth in vitro and in vivo through down-regulation of PUMA expression. miR-503-5p knockdown sensitized chemoresistant CRC cells to OXA. Our studies indicated that p53 suppresses miR-503-5p expression and that deletion of p53 upregulates miR-503-5p expression. Inhibition of miR-503-5p in p53 null cells increased their sensitivity to OXA treatment. Importantly, analysis of patient samples showed that expression of miR-503-5p negatively correlates with PUMA in CRC. These results indicate that a p53/miR-503-5p/PUMA signaling axis regulates the CRC response to chemotherapy, and suggest that miR-503-5p plays an important role in the development of MDR in CRC by modulating PUMA expression.

Bim gene dosage is critical in modulating nephron progenitor survival in the absence of microRNAs during kidney development

Low nephron endowment at birth has been associated with an increased risk for developing hypertension and chronic kidney disease. We demonstrated in an earlier study that conditional deletion of the microRNA (miRNA)-processing enzyme Dicer from nephron progenitors results in premature depletion of the progenitors and increased expression of the proapoptotic protein Bim (also known as Bcl-2L11). In this study, we generated a compound mouse model with conditional deletion of both Dicer and Bim, to determine the biologic significance of increased Bim expression in Dicer-deficient nephron progenitors. The loss of Bim partially restored the number of nephron progenitors and improved nephron formation. The number of progenitors undergoing apoptosis was significantly reduced in kidneys with loss of a single allele, or both alleles, of Bim compared to mutant kidneys. Furthermore, 2 miRNAs expressed in nephron progenitors (miR-17 and miR-106b) regulated Bim levels in vitro and in vivo Together, these data suggest that miRNA-mediated regulation of Bim controls nephron progenitor survival during nephrogenesis, as one potential means of regulating nephron endowment.-Cerqueira, D. M., Bodnar, A. J., Phua, Y. L., Freer, R., Hemker, S. L., Walensky, L. D., Hukriede, N. A., Ho, J. Bim gene dosage is critical in modulating nephron progenitor survival in the absence of microRNAs during kidney development.