Single miRNA Research Articles

LET-7a and LET-7b as Potential Signatures for Glioma Recurrence, Regardless of WHO Tumor Grade.

Micro RNAs (miRs; miRNAs) are small, non-coding RNA segments that influence gene expression. To do this, they bind to corresponding mRNA segments and inhibit the subsequent protein translation. Currently, about 200 transcripts are thought to be regulated by a single miRNA. Dysregulated miRNAs can act as tumor promoters as well as tumor suppressors. The aim of this study was to verify miR-LET-7a and miR-LET-7b as a signature for glioma recurrence detection by analyzing their expression in glioma tissue. Only patients with two or more recurrences of glioma (n=25) were included in the study (tissue samples, n=89). Tissue was obtained during neurosurgical procedures and shock-frozen in liquid nitrogen. The patient cohort (female:male=12:13) had an average age of 35 years when first diagnosed (primary tumor: 13 WHO grade II, 7 WHO grade III and 5 WHO grade IV) and 48 years in the fifth relapse. Quantitative real-time polymerase chain reaction was performed to analyze miRNA expression. miR-151a-3p was used as an internal reference. Expression of miR-LET-7a and miR-LET-7b was significantly lower in the first recurrence than in the primary tumor. The expression of miR-LET-7a and -7b significantly decreased with increasing tumor grade. The strongest down-regulation was found between WHO grade III and IV. In paired samples in which tumor grade did not change between the primary and the first recurrence, the expression of both miRNAs remained significantly lower in the recurrent than in the primary tumor. miR-LET-7a and miR-LET-7b represent a potential signature for glioma recurrence regardless of WHO grade.

Enzyme-Assisted Electrochemical Point-of-Care Test for miRNA Detection in Liquid Biopsy.

In the personalized medicine era, affordable and portable devices for quicker cancer monitoring, even in remote areas, are crucial. To address this need, we have developed an enzyme-assisted electrochemical point-of-care (POC) test for application toward liquid biopsy. In particular, miR-200a-5p has been taken into account as the model target due to its correlation for triple negative breast cancer (TNBC) prognosis. The proposed platform has been conceived as signal-ON, and the detection architecture is based on the presence of a duplex-specific nuclease (DSN) that is selective for DNA-RNA heteroduplexes. When the miRNA is recognized by an ad-hoc designed DNA probe, the DSN enzyme enables for the isothermal target recycling and signal enhancement, which is essential for detecting the miRNA trace in biofluids. Introducing a methylene blue (MB) modification on the DNA probe, a single miRNA strand is capable of triggering multiple DSN cleavage circles, increasing the free MB and thus the electrochemical signal recorded. All the optimization studies have been carried out using a screen-printed strip, resulting in a dynamic range comprised between 0.1 pM and 100 nM and a detection limit down to the fM level. A satisfactory selectivity was highlighted by interrogating the system toward random miRNA target mixtures, and the platform was also tested in spiked commercial serum samples.

Stage-specific expression patterns and co-targeting relationships among miRNAs in the developing mouse cerebral cortex

microRNAs are crucial regulators of brain development, however, miRNA regulatory networks are not sufficiently well characterized. By performing small RNA-seq of the mouse embryonic cortex at E14, E17, and P0 as well as in neural progenitor cells and neurons, here we detected clusters of miRNAs that were co-regulated at distinct developmental stages. miRNAs such as miR-92a/b acted as hubs during early, and miR-124 and miR-137 during late neurogenesis. Notably, validated targets of P0 hub miRNAs were enriched for downregulated genes related to stem cell proliferation, negative regulation of neuronal differentiation and RNA splicing, among others, suggesting that miRNAs are particularly important for modulating transcriptional programs of crucial factors that guide the switch to neuronal differentiation. As most genes contain binding sites for more than one miRNA, we furthermore constructed a co-targeting network where numerous miRNAs shared more targets than expected by chance. Using luciferase reporter assays, we demonstrated that simultaneous binding of miRNA pairs to neurodevelopmentally relevant genes exerted an enhanced transcriptional silencing effect compared to single miRNAs. Taken together, we provide a comprehensive resource of miRNA longitudinal expression changes during murine corticogenesis. Furthermore, we highlight several potential mechanisms through which miRNA regulatory networks can shape embryonic brain development.

Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures.

Rapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management. Accurate diagnosis and time of onset of an acute event can influence treatment plans, such as percutaneous coronary intervention (PCI). PCI is most beneficial within 3 hours of AMI onset. MicroRNAs (miRNAs) are promising biomarkers, with potential of early AMI diagnosis, since they are released before cell death and subsequent release of larger molecules [e.g., cardiac troponins (cTn)], and have greater sensitivity and stability in plasma versus cTn regardless of timing of AMI onset. However, miRNA-based AMI diagnosis can result in false positives due to miRNA content overlap between AMI and stable coronary artery disease (CAD). Accordingly, we explored the possibility of using a miRNA profile, rather than a single miRNA, to distinguish between CAD and AMI, as well as different stages following AMI onset. First we screened a library of 800 miRNA using plasma samples from 4 patient cohorts; no known CAD, CAD, ST-segment elevation myocardial infarction (STEMI) and STEMI followed by PCI, using Nanostring miRNA profiling technology. From this screening, based on machine learning SCAD and Lasso algorithms, we identified 9 biomarkers (miR-200b, miR-543, miR-331, miR-3605, miR-301a, miR-18a, miR-423, miR-142, and miR-132) that were differentially expressed in CAD, STEMI and STEMI-PCI and explored them to identify a miRNA profile for rapid and accurate AMI diagnosis. These 9 miRNAs were selected as the most frequently identified targets by SCAD and Lasso, as indicated in the "drum-plot" model in the machine learning approach. We used age-matched patient samples to validate selected 9 miRNA biomarkers using a multiplexed ion-exchange membrane-based miRNA sensor platform, which measures specific miRNAs, and cTn as a control, simultaneously as a point-of-care device. Findings from this study will inform timely and accurate diagnosis of AMI and its stages, which are essential for effective management and optimal patient outcomes.

Diagnostic and screening potential of plasma exosome miR‑99b‑5p and its combination with other miRNAs for colorectal cancer.

Extracellular vesicles (EVs) secreted by tumor cells have been documented to hold viable biomarker potential. Therefore, the present study evaluated the potential clinical value of EV-microRNAs (miRNAs or miRs) in the plasma exosomes of patients with colorectal cancer (CRC) for the early diagnosis and screening of CRC. In total, 95 plasma samples were collected at The Third Affiliated Hospital of Guangzhou Medical University (Guangzhou, China) between 2017 and 2019. Specifically, 68 samples were from patients with CRC and 27 were from healthy control (HC) donors. High-throughput sequencing was used to detect the expression of miRNAs in the isolated plasma EVs, which was subsequently verified by reverse transcription-quantitative PCR. Receiver operating characteristic (ROC) curves were used to analyze the diagnostic potential of single and combined miRNAs for CRC. Bioinformatics analysis was employed to predict the target genes of candidate miRNAs. Compared with those in the HC group, the CRC group expressed higher levels of miR-99b-5p and miR-409-3p, especially during the early stages of CRC. Clinicopathological analysis confirmed the higher expression levels of miR-99b-5p during the early stages, as well as higher expression levels in the colon compared with those in the rectum. ROC curve analysis revealed that the area under the curve (AUC) of miR-99b-5p for the diagnosis of early CRC was 73.5% (P=0.007). The early diagnostic capability of miR-99b-5p combined with miR-409-3p for CRC was evaluated, and the AUC was found to be 74.1% (P=0.006). In addition, the AUC of the combination of miR-99b-5p, miR-409-3p and carcinoembryonic antigen was 81.2% (P<0.001), indicating that this three-parameter combination displayed higher diagnostic power compared with any single miRNA for early CRC screening. The results from the present study suggest that the expression of miR-99b-5p in plasma exosomes is significantly upregulated in CRC, which holds potential for the early diagnosis of this cancer type. Such potential can be enhanced further by combining it with other miRNAs. Therefore, the present study provides a comprehensive but preliminary insight for the viability of miR-99b-5p (alone or combined with other miRNAs) for CRC diagnosis, which requires further exploration in the future.

Exploring Novel Therapeutic Breakthroughs for Cancers: Potential Roles of miRNAs

MicroRNAs (miRNAs) are small non-coding RNAs, 19–25 nucleotides in length, that regulate gene expression. miRNAs are involved in various cellular, biological, and pathological activities, including the development and progression of malignant tumors. Numerous studies have highlighted the significant roles of miRNA deregulation in various cancer types, involving critical pathways such as gene deletions and amplifications, abnormal epigenetic changes, and dysfunctional miRNA regulatory systems. miRNAs can function both as oncogenes and tumor suppressor genes in different contexts. Several cancer hallmarks are associated with deregulated miRNAs, including resistance to cell death, metastasis, sustained proliferative signaling, promotion of angiogenesis, and the suppression of growth factors. Recent research has demonstrated that miRNAs contribute to drug resistance in tumor cells by targeting genes linked to drug resistance or by influencing genes that regulate the cell cycle, apoptosis, and proliferation. A single miRNA often has tissue-specific regulatory functions and can affect multiple genes. Various miRNA types have been identified as potential biomarkers for tumor diagnosis and critical targets for novel therapeutic approaches. This review aims to explore the role of miRNAs in cancer progression, metastasis, and potential therapeutic interventions.

Preoperative treatment response prediction for pancreatic cancer by multiple microRNAs in plasma exosomes: Optimization using machine learning and network analysis

Background/objectivesMicroRNAs (miRNAs) are involved in chemosensitivity through their biological activities in various malignancies, including pancreatic cancer (PC). However, single-miRNA models offer limited predictability of treatment response. We investigated whether a multiple-miRNA prediction model optimized via machine learning could improve treatment response prediction. MethodsA total of 20 and 66 patients who underwent curative resection for PC after gemcitabine-based preoperative treatment were included in the discovery and validation cohorts, respectively. Patients were classified according to their response to preoperative treatment. In the discovery cohort, miRNA microarray and machine learning were used to identify candidate miRNAs (in peripheral plasma exosomes obtained before treatment) associated with treatment response. In the validation cohort, miRNA expression was analyzed using quantitative reverse transcription polymerase chain reaction to validate its ability to predict treatment response. ResultsIn the discovery cohort, six and three miRNAs were associated with good and poor responders, respectively. The combination of these miRNAs significantly improved predictive accuracy compared with using each single miRNA, with area under the curve (AUC) values increasing from 0.485 to 0.672 to 0.909 for good responders and from 0.475 to 0.606 to 0.788 for poor responders. In the validation cohort, improved predictive performance of the miRNA combination over single-miRNA prediction models was confirmed, with AUC values increasing from 0.461 to 0.669 to 0.777 for good responders and from 0.501 to 0.556 to 0.685 for poor responders. ConclusionsPeripheral blood miRNA profiles using an optimized combination of miRNAs may provide a more advanced prediction model for preoperative treatment response in PC.

Panel miRNAs are potential diagnostic markers for chronic kidney diseases: a systematic review and meta-analysis

BackgroundAccurate detection of kidney damage is key to preventing renal failure, and identifying biomarkers is essential for this purpose. We aimed to assess the accuracy of miRNAs as diagnostic tools for chronic kidney disease (CKD).MethodsWe thoroughly searched five databases (MEDLINE, Web of Science, Embase, Scopus, and CENTRAL) and performed a meta-analysis using R software. We assessed the overall diagnostic potential using the pooled area under the curve (pAUC), sensitivity (SEN), and specificity (SPE) values and the risk of bias by using the QUADAS-2 tool. The study protocol was registered on PROSPERO (CRD42021282785).ResultsWe analyzed data from 8351 CKD patients, 2989 healthy individuals, and 4331 people with chronic diseases. Among the single miRNAs, the pooled SEN was 0.82, and the SPE was 0.81 for diabetic nephropathy (DN) vs. diabetes mellitus (DM). The SEN and SPE were 0.91 and 0.89 for DN and healthy controls, respectively. miR-192 was the most frequently reported miRNA in DN patients, with a pAUC of 0.91 and SEN and SPE of 0.89 and 0.89, respectively, compared to those in healthy controls. The panel of miRNAs outperformed the single miRNAs (pAUC of 0.86 vs. 0.79, p < 0.05). The SEN and SPE of the panel miRNAs were 0.89 and 0.73, respectively, for DN vs. DM. In the lupus nephritis (LN) vs. systemic lupus erythematosus (SLE) cohorts, the SEN and SPE were 0.84 and 0.81, respectively. Urinary miRNAs tended to be more effective than blood miRNAs (p = 0.06).ConclusionMiRNAs show promise as effective diagnostic markers for CKD. The detection of miRNAs in urine and the use of a panel of miRNAs allows more accurate diagnosis.

MiRNA, phytometabolites and disease: Connecting the dots.

miRNAs are tiny noncoding ribonucleotides that function as critical regulators of gene-expression in eukaryotes. A single miRNA may be involved in the regulation of several target mRNAs forming complex cellular networks to regulate diverse aspects of development in an organism. The deregulation of miRNAs has been associated with several human diseases. Therefore, miRNA-based therapeutics is gaining interest in the pharmaceutical industry as the next-generation drugs for the cure of many diseases. Medicinal plants have also been used for the treatment of several human diseases and their curative potential is attributed to their reserve in bioactive metabolites. A role for miRNAs as regulators of the phytometabolic pathways in plants has emerged in the recent past. Experimental studies have also indicated the potential of plant encoded secondary phytometabolites to act as cross-regulators of mammalian miRNAs and transcripts to regulate human diseases (like cancer). The evidence for this cross-kingdom gene regulation through miRNA has gathered considerable enthusiasm in the scientific field, even though there are on-going debates regarding the reproducibility and the effectiveness of these findings. In this review, we provide information to connect the medicinal and gene regulatory properties of secondary phytometabolites, their regulation by miRNAs in plants and their effects on human miRNAs for regulating downstream metabolic or pathological processes. While further extensive research initiatives and good clinical evidence are required to prove or disapprove these findings, understanding of these regulations will have important implications in the potential use of synthetic or artificial miRNAs as effective alternatives for providing health benefits.

DNA-Functionalized Gold Nanorods for One-Step Simultaneous Determination of Multiple microRNAs Based upon Plasma-Enhanced Fluorescence

MicroRNAs (miRNAs) are endogenous, noncoding, and sequence-specific single-stranded RNA regulatory factors whose abnormal expression levels are closely related to various diseases, especially cancer, and are considered effective biomarkers for disease diagnosis and prognosis. Since the concentrations of miRNAs in the body are low and disease diagnosis by detecting single miRNAs may result in a high false positive, it is essential to construct a sensitive biosensor for the determination of multiple miRNAs. In this work, an enzyme-free signal amplification assay based on plasma-enhanced fluorescence (PEF) is reported for the one-step simultaneous determination of two miRNAs. Gold nanorods (AuNRs) were functionalized with fluorescein isothiocyanate (FAM)-tagged hairpin DNA1 (H1) and cyanine 5.5 (Cy5.5)-tagged hairpin DNA2 (H2). The fluorescence signals of FAM and Cy5.5 were quenched due to their proximity to the surface of the AuNRs. In the presence of target miRNA-21 and miRNA-155, H1 and H2 complemented miRNA-21 and miRNA-155, respectively, and the fluorescence signals of FAM and Cy5.5 were not only restored but amplified due to the plasma-enhanced fluorescence. A suitable linear range (0.1 to 10 nM) and low limits of detection for miRNA-21 (23 pM) and miRNA-155 (1.6 pM) were achieved. The developed assay for the one-step simultaneous measurement of two miRNAs is simple, fast and sensitive, exhibiting great potential for monitoring these biomarkers.

MiRNA Is Involved in the Pathogenesis of Multiple Diseases by Targeting Osteoprotegerin

As a member of the tumor necrosis factor receptor family, osteoprotegerin (OPG) is highly expressed in adults in the lung, heart, kidney, liver, spleen, thymus, prostate, ovary, small intestines, thyroid gland, lymph nodes, trachea, adrenal gland, the testis, and bone marrow. Together with the receptor activator of nuclear factor-κB (RANK) and the receptor activator of nuclear factor-κB ligand (RANKL), it forms the RANK/RANKL/OPG pathway, which plays an important role in the molecular mechanism of the development of various diseases. MicroRNAs (miRNAs) are a class of endogenous non-coding RNAs performing regulatory functions in eukaryotes, with a size of about 20-25 nucleotides. miRNA genes are transcribed into primary transcripts by RNA polymerase, bind to RNA-induced silencing complexes, identify target mRNAs through complementary base pairing, with a single miRNA being capable of targeting hundreds of mRNAs, and influence the expression of many genes through pathways involved in functional interactions. In recent years, a large number of studies have been done to explore the mechanism of action of miRNA in diseases through miRNA isolation, miRNA quantification, miRNA spectrum analysis, miRNA target detection, in vitro and in vivo regulation of miRNA levels, and other technologies. It was found that miRNA can play a key role in the pathogenesis of osteoporosis, rheumatoid arthritis, and other diseases by targeting OPG. The purpose of this review is to explore the interaction between miRNA and OPG in various diseases, and to propose new ideas for studying the mechanism of action of OPG in diseases.

MicroRNA profiling in women with migraine: effects of CGRP-targeting treatment

BackgroundMigraine lacks biomarkers that can trace the biological pathways of the disease and predict the effectiveness of treatments. Monoclonal antibodies targeting calcitonin gene-related peptide pathway – including erenumab – offer the opportunity of investigating potential migraine biomarkers due to their specific mechanism of action in preventing both episodic (EM) and chronic (CM) migraine. Our study aims at evaluating the expression levels of circulating microRNAs (miRNAs) according to migraine type, before and after treatment with erenumab and based on treatment response, in order to identify miRNAs with potential role as epigenetic biomarkers.MethodsThe study included women aged 25–50 years with EM or CM treated with erenumab according to clinical indications. MiRNAs expression levels were assessed before (baseline) and after a 16-week treatment with erenumab, 140 mg every four weeks (post-treatment). An extensive miRNAs profiling was performed by qRT-PCR in small, pooled groups of ≤ 8 women each, classified according to migraine frequency (EM and CM) and the degree of response to erenumab. The expression levels of selected miRNAs were also validated using single miRNA assays in each woman with EM and CM.ResultsDuring the study, 36 women with migraine (19 with EM and 17 with CM) out of 40 who were initially screened, performed the assessment of miRNA expression at baseline and post-treatment, Erenumab treatment significantly improved migraine burden in both EM and CM. MiRNA profiling revealed differential expression levels of a wide set of miRNAs (hsa-let-7d-3p, hsa-miR-106b-3p, hsa-miR-122-5p, hsa-miR-143-3p, hsa-miR-144-3p, hsa-miR-16-5p, hsa-miR-181a-5p, hsa-miR-221-3p, hsa-miR-25-3p, hsa-miR-29b-2-5p, hsa-miR-326, miR-363-3p, hsa-miR-424-5p, hsa-miR-485-3p, hsa-miR-532-5p, hsa-miR-543, hsa-miR-629-5p, hsa-miR-660-5p, hsa-miR-92a-3p) depending on treatment response. Among them, single miRNA assays confirmed the progressive decrease of hsa-miR-143-3p expression levels in relation to increasing response to erenumab in women with EM (7 with low, 6 with medium, and 6 with high response; p = 0.02). Additionally, single assays showed higher hsa-miR-34a-5p and hsa-miR-382-5p expression levels at baseline in women with CM compared with those with EM (p = 0.0002 and p = 0.0007, respectively), as well as their expression level decrease in women with CM from baseline to follow-up (p = 0.04 and p = 0.02, respectively).ConclusionsOur study suggests that targeting the CGRP pathway in migraine changes the expression levels of certain miRNAs. These miRNA levels are linked to the levels of response to CGRP receptor blockage. Future research challenges include assigning specific functions to the modulated miRNAs to unravel pathways modulated by the disease and the treatment.Trial registrationThe study was registered in clinicaltrials.gov with code NCT04659226 and in the Novartis database with code CAMG334AIT05T.

Profiling of microRNAs by next-generation sequencing: Potential biomarkers for diffuse large B-cell lymphoma

BackgroundLymphoma ranks fifth in prevalence among common cancer types worldwide. This lymphatic system cancer arises from T or B cells. Diffuse large B cell lymphomas (DLBCLs) are associated with most non-Hodgkin lymphomas. Non-coding microRNAs (miRNAs) greatly affect gene expression. A single miRNA can target numerous genes, thus largely influencing gene expression networks. MiRNAs can act as oncogenes or tumor suppressors in controlling DLBCL progression. This study investigated the roles of miRNAs in patients with DLBCL through next-generation sequencing, which was found to be sensitive, accurate, and robust. MethodsThe study involved seven patients with DLBCLs and three controls at a hematology-oncology clinic. MiRNA was extracted from existing formalin-fixed, paraffin-embedded (FFPE) tissue specimens. Illumina next-generation sequencing was used to sequence samples for miRNA profiling. ResultsSamples from patients showed expression of various hsa-mir miRNAs (1248, 3607, 21, 142, 1244, 182, 6516, 766, 1291, 4449, and 181a), whereas those from healthy individuals showed expression of hsa-mir 1248, 3607, 21, 142, and 877. Hsa-mir-877-3p is known to target multiple genes, and miRNAs such as hsa-mir-877-3p, hsa-mir-1291, and hsa-mir-181a-5p interact primarily with target genes. ConclusionsMiRNA profiling in FFPE tissues from patients with DLBCL suggested that miRNA levels can distinguish patients with DLBCL from controls, and therefore may provide prognostic or diagnostic biomarkers for DLBCL. Altered genes and miRNAs may also be potential therapeutic targets.

How microRNAs go awry in cancer: Exploring the underlying factors of miRNA dysregulation

MicroRNAs (miRNA) are short, non-coding molecules (~23nt) that fine-tune mRNA expression at the post-transcriptional level by repressing or cleaving their targets. A single miRNA targets several mRNAs; dysfunctions disrupt biological systems. Unravelling the interactome of regulators and targets is vital for biological networks. Cancer research is one of the hottest fields, due to its high prevalence and financial burden. Despite improvements in prevention and therapy, challenges from disease complexity and precision medicine limit the effciency of targeted approaches. Accurate characterization of all interactions and mechanisms is essential to fight it. In this study, we matched whole genome, RNA and small RNA sequencing data acquired from the International Cancer Genome Consortium (ICGC) for Liver cancer patients, resulting in a dataset of 40 samples with the aim to explain the dysregulation of miRNA expression. DNA variants were readily extracted using the “Broad variant call pipeline” of ICGC. Utilization of DNase-seq data indicated an average promoter region activity of 1500bp upstream and 500bp downstream of the transcription start site. Variations were then intersected to promoter regions. Analysis of transcription factors (TF), which regulate the expression of DNA bound genes, as well as miRNAs, was done using FIMO prediction algorithm (25bp proximal window centered on identified variants, p-value &lt; 0.000001) combined with JASPAR transcription factor motifs to identify mutated transcription factor binding sites. Matching RNA-seq expression was then combined with small RNA-seq expression and correlation analysis was performed so as to identify dysregulated TF::miRNA interacting pairs with mutations on their regulatory elements, on the basis that their correlated expression is potentially disrupted due to overlapping variation events. A total of 172691 variants events were identified in liver promoter regions. Analysis of mutational load using chi-square test in various gene biotypes indicated differences with protein-coding and small RNA (excluding miRNA) categories exhibiting the higher rates. Variants in TF genes generally showed low frequency (3.64% of all TF genes analyzed), necessitating a deeper analysis to discover if the underling mechanisms of TFBS are affected by variation events. Of all TFs utilized in the FIMO analysis (n=39), ZNF263, which has been associated to a variety of tumours, was found to have the highest percentage of mutated binding motif (31%) followed by ZNF384 (28%). Pearson correlation analysis between the expression of miRNAs and TFs with and without mutations overlapping TF binding sites in miRNA promoters identified HNF4A (Hepatocyte Nuclear Factor 4) and hsa-mir-122 having significant difference in their correlated expression (Transcripts per million normalized values) between wildtype samples (n=20, r=0.8, p=0.00002) and mutated individuals (n=20, r=0.25, p=026), with both molecules being associated with liver localized functions in the literature. These results demonstrate the importance of further enriching the interactome towards a more complete network in order to achieve a more effective and accurate precision medicine. Hellenic Foundation for Research and Innovation (H.F.R.I.) under the ‘1st Call for H.F.R.I. Research Projects to support Faculty Members &amp; Researchers and the procurement of high-cost research equipment grant’ [2563]. Funding for open access charge. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Time-Controlled Authentication Strategies for Molecular Information Transfer.

Modern cryptography based on computational complexity theory is mainly constructed with silicon-based circuits. As DNA nanotechnology penetrates the molecular domain, utilizing molecular cryptography for data access protection in the biomolecular domain becomes a unique approach to information security. However, building security devices and strategies with robust security and compatibility is still challenging. Here, this study reports a time-controlled molecular authentication strategy using DNAzyme and DNA strand displacement as the basic framework. A time limit exists for authorization and access, and this spontaneous shutdown design further protects secure access. Multiple hierarchical authentications, temporal Boolean logic authentication, and enzyme authentication strategies are constructed based on DNA networks'good compatibility and programmability. This study gives proof of concept for the detection and protection of bioinformation about single nucleotide variants and miRNA, highlighting their potential in biosensing and security protection.

An enzymatically activated AND-gate DNA logic circuit for tumor cells recognition via multi-microRNAs detection

The DNA-based logic circuit, constructed to mimic biochemical reaction networks, is highly significant in detecting biomarkers at the molecular level. The differences in the expression levels of microRNAs (miRNAs) within different types of cells provide hope for distinguishing cell subtypes. However, reliance on a single miRNA often leads to unreliable results. Herein, we constructed an enzyme-triggered cascade logic circuit based on the AND gate, which is capable of generating corresponding fluorescence signals in the presence of target miRNAs. The introduction of apurinic/apyrimidinic (AP) sites effectively reduces the likelihood of false signal generation. Amplification of the fluorescence signal relies on the catalytic hairpin assembly and the repetitive reuse of the multicomponent nucleic acid enzyme (MNAzyme). We demonstrated that the logic circuit can not only distinguish cancer cells from normal cells but also identify different types of cancer cells. The programmability of the logic circuits and the simplicity of the assay system allow us to modify the functional sequences to recognize different types of biomarkers, thus providing a reference for the identification of various cell subtypes.

Experimental capture of miRNA targetomes: disease-specific 3′UTR library-based miRNA targetomics for Parkinson’s disease

The identification of targetomes remains a challenge given the pleiotropic effect of miRNAs, the limited effects of miRNAs on individual targets, and the sheer number of estimated miRNA–target gene interactions (MTIs), which is around 44,571,700. Currently, targetome identification for single miRNAs relies on computational evidence and functional studies covering smaller numbers of targets. To ensure that the targetome analysis could be experimentally verified by functional assays, we employed a systematic approach and explored the targetomes of four miRNAs (miR-129-5p, miR-129-1-3p, miR-133b, and miR-873-5p) by analyzing 410 predicted target genes, both of which were previously associated with Parkinson’s disease (PD). After performing 13,536 transfections, we validated 442 of the 705 putative MTIs (62,7%) through dual luciferase reporter assays. These analyses increased the number of validated MTIs by at least 2.1-fold for miR-133b and by a maximum of 24.3-fold for miR-873-5p. Our study contributes to the experimental capture of miRNA targetomes by addressing i) the ratio of experimentally verified MTIs to predicted MTIs, ii) the sizes of disease-related miRNA targetomes, and iii) the density of MTI networks. A web service to support the analyses on the MTI level is available online (https://ccb-web.cs.uni-saarland.de/utr-seremato), and all the data have been added to the miRATBase database (https://ccb-web.cs.uni-saarland.de/miratbase).

Tumor Suppressor MicroRNAs in Clinical and Preclinical Trials for Neurological Disorders.

Cancers and neurological disorders are two major types of diseases in humans. We developed the concept called the "Aberrant Cell Cycle Disease (ACCD)" due to the accumulating evidence that shows that two different diseases share the common mechanism of aberrant cell cycle re-entry. The aberrant cell cycle re-entry is manifested as kinase/oncoprotein activation and tumor suppressor (TS) inactivation, which are associated with both tumor growth in cancers and neuronal death in neurological disorders. Therefore, some cancer therapies (e.g., kinase/oncogene inhibition and TS elevation) can be leveraged for neurological treatments. MicroRNA (miR/miRNA) provides a new style of drug-target binding. For example, a single tumor suppressor miRNA (TS-miR/miRNA) can bind to and decrease tens of target kinases/oncogenes, producing much more robust efficacy to block cell cycle re-entry than inhibiting a single kinase/oncogene. In this review, we summarize the miRNAs that are altered in both cancers and neurological disorders, with an emphasis on miRNA drugs that have entered into clinical trials for neurological treatment.

Abstract 2991: Global analysis of miR-210 and miR-21 dysregulation and direct targeting in thyroid cancer during hypoxia

Abstract Introduction: Hypoxia is frequent in solid tumors and stabilizes Hypoxia Inducible Factor-1 (HIF-1). HIF-1, in turn, activates several cellular pathways that promote tumor growth and resistance to chemotherapy. MicroRNA (miRNA) miR-210 is a direct HIF-1 target. HIF-1 binds to a Hypoxia-Response Element (HRE) in the miR-210 promoter, up-regulating its expression. miR-21 is the most widely reported oncogenic miRNA in cancer. miRNAs complexed with Argonaute-2 (AGO2) bind target mRNAs to inhibit translation. Given that a single miRNA can have hundreds of predicted mRNA targets, we sought to identify mRNA targets of miR-210 and miR-21. Identifying dysregulated target genes of miR-210 and miR-21 may highlight new therapeutic targets. Methods: The SW1736 (anaplastic thyroid cancer) cell line was cultured at 2% (hypoxic) or atmospheric (normoxic) O2 for 24 or 48hrs. HIF-1α accumulation relative to normoxia was analyzed by Western blot. miR-210-3p expression was measured relative to normoxia by RT-qPCR. Small and total RNA-sequencing was performed to identify additional differentially expressed miRNAs and mRNAs in hypoxia after 48hrs. To identify direct miRNA targets, SW1736 cells were cross-linked by UV irradiation after 48hrs of normoxic or hypoxic conditions. AGO2 covalently cross-linked to miRNA and target mRNAs were purified by immunoprecipitation after DNA and RNA digestion. miRNA and target mRNAs protected by AGO2 were ligated to generate chimeric miRNA:mRNA molecules followed by sequencing. miRNA:mRNA chimeras were analyzed using the SCRAP bioinformatic pipeline. Results: miR-210-3p expression was up-regulated by ~11-fold at 24hrs and ~19-fold at 48hrs, which was consistent with increased HIF-1α protein levels assessed by Western blot. miR-210-3p and HIF-1α levels were highest after 48hr of hypoxia relative to normoxia. Small RNA-seq showed that miR-210-3p was the only miRNA significantly up-regulated (&amp;gt;2-fold) in hypoxia (48hr) in SW1736. Further, miRNA:mRNA chimeric sequencing results confirmed that miRNAs primarily interacted with the 3’UTRs and coding sequences of mRNA. miR-210-3p was most abundant in hypoxia and found in chimeras with HIF-1α mRNA as well as some oncogenic and tumor suppressor transcripts involved in metabolism and mRNA processing. miR-21-5p was the most abundant chimera miRNA in both normoxia and hypoxia and was primarily bound to tumor suppressor mRNAs associated with cell cycle arrest, TGFB signaling, and inhibition of tumor invasion and migration. Conclusions: miR-210-3p and miR-21-5p elevated levels and interactions indicate hypoxia and malignancy in solid tumors including breast, thyroid, prostate, and lung. Further analysis of other miRNA:mRNA interactions and functional validation may aid in identifying novel therapies for solid tumors. Citation Format: Bonita H. Powell, William T. Mills, Andrey Turchinovich, Yongchun Wang, Martha A. Zeiger, Christopher B. Umbricht, Mollie K. Meffert, Kenneth W. Witwer. Global analysis of miR-210 and miR-21 dysregulation and direct targeting in thyroid cancer during hypoxia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2991.

Abstract 2350: Comparison of normalization methods for RT-qPCR microRNA expression in cancer datasets

Abstract Real-time quantitative PCR (RT-qPCR) is a widely used method for quantifying microRNA (miRNA) expression, but its accuracy depends on appropriate normalization. RT-qPCR is susceptible to technical variation from several sources, including sample collection and storage, miRNA quantity/quality, and extraction and amplification efficiencies. Normalization corrects for these factors, theoretically leaving behind only biological variation. With growing interest in miRNAs as biomarkers for the diagnosis and prognosis of various cancers, analyses must be accurate and consistent. Primarily, the comparative Ct method is used, which compares the expression of miRNAs to a reference value. Unfortunately, there is a lack of consistency on what to use as a reference. A standard recommendation is the average of multiple, stable miRNAs referred to as endogenous controls (ECs). Currently, there are no known universally stable miRNAs. Therefore, ECs should be selected on a per-disease and per-sample type basis. Multiple algorithms exist to identify stable ECs, but few studies indicate what, if any, steps were taken to implement them correctly. Also, many studies have used non-ideal reference values such as small nuclear RNAs or a single miRNA. This lack of agreement on protocol often leads to difficulty comparing studies and may produce incorrect results. This work addresses these inconsistencies by making recommendations for the normalization of RT-qPCR miRNA expression. We compared 2 widely used methods for EC selection, NormFinder and GeNorm, and to show how normalization influences results we also used an unstable miRNA. Only miRNAs with expression in all samples were considered as potential ECs. GeNorm is sensitive to correlated genes. Therefore, for any pair or trio of correlated miRNAs 1 was kept. NormFinder performs optimally with 5-10 candidate genes; therefore, we tested the 10 miRNAs with the lowest coefficients of variation (CV). The top 3 stable miRNAs were selected from each algorithm to serve as ECs, and we used their average expression to normalize each sample. For the single miRNA, samples were scaled based on its value. We applied these methods to 3 independent datasets: First, plasma samples from a study on canine osteosarcoma (OSA), including pre-amputation (n=45), post-amputation (n=27), and healthy controls (n=21). Second, tissue samples from a study on canine OSA, including primary tumour (n=42) and lung metastases (n=12). Third, serum samples from a study on canine lymphoma included B-cell (n=24), T-cell (n=16), and healthy controls (n=14). For datasets 1 and 3, NormFinder provided a better reduction in gene-specific CV and a more favourable cumulative distribution of the CV. For dataset 2, there was less initial variability, but NormFinder still had slightly better results. Both algorithms had pros and cons, but NormFinder consistently provides a better reduction in sample variation across datasets. Citation Format: Heather Treleaven, Latasha Ludwig, Alicia Viloria-Petit, R. Darren Wood, Ayesha Ali, Geoffrey A. Wood. Comparison of normalization methods for RT-qPCR microRNA expression in cancer datasets [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2350.