Exploring the expanding universe of small RNAs

tRNA modifications: greasing the wheels of translation and beyond

Transfer RNA (tRNA) is one of the most abundant RNA types in cells, acting as an adaptor to bridge the genetic information in mRNAs with the amino acid sequence in proteins. Both tRNAs and small fragments processed from them play many nonconventional roles in addition to translation. tRNA molecules undergo various types of chemical modifications to ensure the accuracy and efficiency of translation and regulate their diverse functions beyond translation. In this review, we discuss the biogenesis and molecular mechanisms of tRNA modifications, including major tRNA modifications, writer enzymes, and their dynamic regulation. We also summarize the state-of-the-art technologies for measuring tRNA modification, with a particular focus on 2'-O-methylation (Nm), and discuss their limitations and remaining challenges. Finally, we highlight recent discoveries linking dysregulation of tRNA modifications with genetic diseases.

Comprehensive profiling of tsRNAs in acute coronary syndrome: expression patterns, clinical correlations, and functional insights

Transfer RNA-derived small RNAs (tsRNAs) have emerged as potential biomarkers of various human diseases. However, the clinical utility and biological functions of tsRNA in acute coronary syndrome (ACS) remain poorly understood. To investigate this, we performed high-throughput small RNA sequencing on peripheral blood monocyte cells (PBMCs) from 24 ACS patients and 12 healthy controls. Our analysis revealed distinct and characteristic expression patterns of tsRNAs in response to ACS, highlighting their potential as disease signatures in human PBMCs. Differentially expressed tsRNAs were validated using RT-qPCR in two independent case-control sets. Among these, tRF-Gly-GCC-06 was significantly upregulated in volunteers with unstable angina (UA) and acute myocardial infarction (AMI) (p < 0.05) and showed a statistically significant positive correlation with the Gensini score (r = 0.353, p < 0.001). Moreover, this tsRNA was independently associated with an increased risk of ACS after adjusting for conventional cardiovascular risk factors (odds ratio (OR) = 1.58, 95% confidence interval (CI): 1.37-1.83, p < 0.001). A series of functional studies showed that tRF-Gly-GCC-06 significantly facilitated macrophage proliferation and migration and modulated inflammation-related gene expression in vitro. This study identified a novel functional gene associated with ACS, tRF-Gly-GCC-06, as a potential clinical biomarker and therapeutic target.

Small non-coding RNA profiles in sperms from depressive-like mice induced by chronic unpredictable mild stimulations

Major depressive disorder (MDD) is a complex, common, and moderately heritable illness, and accumulating evidence suggests that psychological stress may affect male fertility. Mounting evidence indicates sncRNAs in sperm are sensitive to environmental changes and mediate the inheritance of paternally acquired metabolic and mental traits. In order to know the impact of psychological stress on reproduction and alterations in sperm sncRNAs, in this study, depressive-like mice induced by chronic unpredictable mild stimulation (CUMS) were used to investigate the impact of psychological stress on reproduction and alterations in sperm sncRNAs. The results showed that CUMS treatments for 4 weeks induced depressive behavior in male mice and significantly affected sperm quality. The results obtained from small RNA sequencing indicated that alterations occurred in the distribution and composition of small non-coding RNAs (sncRNAs), encompassing PIWI-interacting RNAs (piRNAs), rRNA-derived small RNAs (rsRNAs), and tRNA-derived small RNAs (tsRNAs). Furthermore, the offspring of male mice with depressive-like behavior have a significant reduction in survival rate at 21 days after birth, and those that did survive displayed an increased susceptibility to depression. This study provides some theoretical support for understanding the effects of psychological stress on reproduction, as well as information exchange from psychological stimulation to germ cells, and then from germ cells to next generation.

Quantitative and Multiplexing Analysis of MicroRNAs by Direct Full-Length Sequencing in Nanopores

MicroRNAs (miRNAs) play important regulatory roles in biology. Direct sequencing of miRNAs in full-length can reveal comprehensive information on their sequences, abundance, and modifications, which, however, has yet to be achieved due to their extremely short length (∼22 nt). Herein, we developed Direct-miR-seq, a nanopore-based direct RNA sequencing (DRS) method that elongates miRNAs at both the 5' and 3' ends by ligating with custom nucleic acid adaptors to ensure full-length sequencing of miRNAs with high yield and accuracy. Compared to standard DRS, Direct-miR-seq enabled sequencing of the whole sequence of miRNAs, achieved a 26-fold sequencing yield, and exhibited reduced bias across miRNA species along with low sequencing error rates. We applied Direct-miR-seq to native RNA populations from cells and human serum to demonstrate its capability to selectively capture miRNAs of known sequences in complex RNA environments for revealing quantitative information in abundance and m6A modification at single-molecule and single-base resolution of ∼100 miRNA species in a single sequencing event. We envision that Direct-miR-seq may be translated toward a variety of biological and medical applications by sequencing miRNAs and other small RNAs.

A 6-tsRNA signature for early detection, treatment response monitoring, and prognosis prediction in diffuse large B cell lymphoma

Diffuse large B-cell lymphoma (DLBCL) presents considerable clinical challenges due to its aggressive nature and diverse clinical progression. New molecular biomarkers are urgently needed for outcome prediction. We analyzed blood samples from DLBCL patients and healthy individuals using short, non-coding RNA sequencing. A classifier based on six tsRNAs was developed through random forest and primary component analysis. This classifier, established using Cox proportional hazards modeling with repeated 10-fold cross-validation on an internal cohort of 100 samples analyzed using RT-qPCR, effectively identified high-risk patients with significantly lower overall survival compared to low-risk patients (Hazard ratio: 6.657, 95%CI 2.827-15.68, P = 0.0006). Validation in an external cohort of 160 samples using RT-qPCR confirmed the classifier's robust performance. High-risk status was strongly associated with disease histological subtype, stage, and International Prognostic Index scores. Integration of the classifier into the IPI model enhanced the precision and consistency of prognostic predictions. A dynamic study revealed that patients experiencing a 1.06-fold decrease after one therapy cycle (early molecular response) exhibited better treatment outcomes and prognosis. Furthermore, the 6-tsRNA signature accurately differentiated healthy individuals from DLBCL (AUC 0.882, 95%CI 0.826-0.939). These findings underscore the potential of the identified 6-tsRNA profile as a biomarker for monitoring treatment effectiveness and predicting DLBCL outcomes.

The Regulatory Role of NcRNAs in Pyroptosis and Disease Pathogenesis

Non-coding RNAs (ncRNAs), as critical regulators of gene expression, play a pivotal role in the modulation of pyroptosis and exhibit a close association with a wide range of diseases. Pyroptosis is a form of programmed cell death mediated by inflammasomes, characterized by cell membrane perforation, release of inflammatory cytokines, and a robust immune response. Recent studies have revealed that ncRNAs influence the initiation and execution of pyroptosis by regulating the expression of pyroptosis-related genes or modulating associated signaling pathways. This review systematically summarizes the molecular mechanisms and applications of ncRNAs in diseases such as cancer, infectious diseases, neurological disorders, cardiovascular diseases, and metabolic disorders. It further explores the potential of ncRNAs as diagnostic biomarkers and therapeutic targets, elucidates the intricate interactions among ncRNAs, pyroptosis, and diseases, and provides novel strategies and directions for the precision treatment of related diseases.

H. pylori infection downregulates the expression and release of miR- 223 in neutrophils

OBJECTIVE

This study aimed to investigate the association between serum miR- 223 concentration and Helicobacter pylori (H. pylori) infection.

METHODS

H. pylori status was assessed using the Urea 13C Breath Test Kit and Typing Detection Kit for antibodies against H. pylori. Patients were considered positive for H. pylori infection when both tests yielded positive results. Serum miRNAs were extracted using the miRNeasy Mini Kit, and quantitative real-time PCR was performed to analyze the relative expression level of miR- 223.

RESULTS

We found that the relative expression level of miR- 223 in neutrophils from H. pylori-positive patients (20.35 ± 5.85) was significantly lower than that from healthy individuals (45.92 ± 10.59) (p < 0.05). Moreover, the expression level of miR- 7, which we selected as a control molecule, was not significantly lower in neutrophils from H. pylori-positive patients (3.07 ± 0.78) than healthy controls (4.43 ± 1.57) (p > 0.05), and the expression of miR- 7 was lower than miR- 223.

CONCLUSION

These results indicated that circulating miR- 223 down-expression was of neutrophil origin in vitro and inversely associated with H. pylori infection.

Optimized identification and characterization of small RNAs with PANDORA-seq

Small noncoding RNAs (sncRNAs) are a diverse group of RNAs including small interfering RNAs, microRNAs, PIWI-interacting RNAs and RNAs derived from structured RNAs such as transfer RNAs, ribosomal RNAs and others. These sncRNAs have varied termini and RNA modifications, which can interfere with adaptor ligation and reverse transcription during cDNA library construction, hindering detection of many types of sncRNA by standard small RNA sequencing methods. To address this limitation, PANDORA sequencing introduces a refined methodology. The procedure includes sequential enzymatic treatments of size-selected RNAs with T4PNK and AlkB, which effectively circumvent the challenges presented by the ligation-blocking termini and reverse transcription-blocking RNA modifications, followed by tailored small RNA library construction protocols and deep sequencing. The obtained datasets are analyzed with the SPORTS pipeline, which can comprehensively analyze various types of sncRNA beyond the traditionally studied classes, to include those derived from various parental RNAs (for example, from transfer RNA and ribosomal RNA), as well as output the locations on the parental RNA from which these sncRNAs are derived. The entire protocol takes ~7 d, depending on the sample size and sequencing turnaround time. PANDORA sequencing provides a transformative tool to further our understanding of the expanding small RNA universe and to explore the uncharted functions of sncRNAs.

Mitochondrial Small RNA Alterations Associated with Increased Lysosome Activity in an Alzheimer's Disease Mouse Model Uncovered by PANDORA-seq

Emerging small non-coding RNAs (sncRNAs), including tRNA-derived small RNAs (tsRNAs) and rRNA-derived small RNAs (rsRNAs), are critical in various biological processes, such as neurological diseases. Traditional sncRNA-sequencing (seq) protocols often miss these sncRNAs due to their modifications, such as internal and terminal modifications, that can interfere with sequencing. We recently developed panoramic RNA display by overcoming RNA modification aborted sequencing (PANDORA-seq), a method enabling comprehensive detection of modified sncRNAs by overcoming the RNA modifications. Using PANDORA-seq, we revealed a previously unrecognized sncRNA profile enriched by tsRNAs/rsRNAs in the mouse prefrontal cortex and found a significant downregulation of mitochondrial tsRNAs and rsRNAs in an Alzheimer's disease (AD) mouse model compared to wild-type controls, while this pattern is not present in the genomic tsRNAs and rsRNAs. Moreover, our integrated analysis of gene expression and sncRNA profiles reveals that those downregulated mitochondrial sncRNAs negatively correlate with enhanced lysosomal activity, suggesting a crucial interplay between mitochondrial RNA dynamics and lysosomal function in AD. Given the versatile tsRNA/tsRNA molecular actions in cellular regulation, our data provide insights for future mechanistic study of AD with potential therapeutic strategies.

Eurycomalactone switched hepatocellular carcinoma cells into quiescence through 5'tRFAla/DVL/β-catenin pathway inhibition

Although tsRNA has been demonstrated to modulate various physiological processes analogous to miRNA, the potential regulatory functions and mechanisms of tsRNAs related to the pharmacological effects of small molecule drugs remain unclear. Herein, it is shown that eurycomalactone (ELT), a natural product, can reversibly switch hepatocellular carcinoma (HCC) PLC/PRF/5 and HUH7 cells into a quiescent state. This quiescence is characterized by cell proliferation inhibition without cytotoxicity, cell cycle arrest at the G0/G1 phase, and cell reactivation following the removal of ELT. Given the established role of β-catenin activity in mediating cancer cellular quiescence or proliferation, a notable reduction in total, cytoplasmic, and nuclear β-catenin expression, along with its downstream targets Survivin, c-myc, and Cyclin D1, was observed in ELT-treated cells. Subsequently, two new tsRNAs, namely 5'tRFAla and 5'tiRNAAla, which match well with the mRNAs of two pivotal upstream regulators (DVL2 and DVL3) of β-catenin based on bioinformatics analyses, were detected to be significantly decreased in ELT-treated PLC/PRF/5 cells using Arraystar small RNA microarray analyses. Consistently, the concentrations of the DVL2 and DVL3 proteins were also found to be reduced by ELT. The mimic of 5'tRFAla could increase the relative expression of DVL2 and DVL3 mRNA and rescue their decrease induced by ELT, while the mimic of 5'tiRNAAla could not. It therefore seems that ELT could down-regulate the expression of 5'tRFAla, leading to the suppression of DVL2 and DVL3 mRNA translation, consequently inhibiting the β-catenin signaling pathway and reversibly switching HCC cells into a quiescent state. Conclusively, our findings imply that tsRNAs, like miRNAs, might activate the translation of their matched mRNAs in non-dividing cells and provide a possible potential for repressing tumor cell growth, although further evidence is still needed.

rRFtargetDB: a database of Ago1-mediated targets of ribosomal RNA fragments

rRNA-derived fragments (rRFs) are a class of emerging posttranscriptional regulators of gene expression likely binding to the transcripts of target genes. However, the lack of knowledge about such targets hinders our understanding of rRF functions or binding mechanisms. The paucity of resources supporting the identification of the targets of rRFs creates a bottleneck in the fast-developing field. We have previously analyzed chimeric reads in cross-linked Argonaute1-RNA complexes to help infer the guide-target pairs and binding mechanisms of multiple rRFs based on experimental data in human HEK293 cells. To efficiently disseminate these results to the research community, we designed a web-based database rRFtargetDB that preserves most of the experimental results after the removal of noise and has a user-friendly interface with flexible query options and filters allowing users to obtain comprehensive information on rRFs (or targets) of interest. rRFtargetDB is populated by ∼163,000 experimentally determined unique rRF-mRNA pairs (∼60,000 supported by ≥2 reads). Almost 30,000 rRF isoforms produced >385,000 (>156,000 with ≥2 reads) chimeras with all types of RNA targets (mRNAs and noncoding RNAs). Further analyses suggested hypothetical modes of interactions, supported by secondary structures of potential guide-target hybrids and binding motifs, essential for understanding the targeting mechanisms of rRFs. All these results (ranging from the weakest to the strongest experimental support) are presented in rRFtargetDB, whose goal is to provide a resource for building users' hypotheses on the potential roles of rRFs for experimental validation. Further, we illustrate the value/application of the database in several examples.rRFtargetDB is freely accessible at https://grigoriev-lab.camden.rutgers.edu/tardb.

The effect of exercise and physical activity on skeletal muscle epigenetics and metabolic adaptations

Physical activity (PA) and exercise elicit adaptations and physiological responses in skeletal muscle, which are advantageous for preserving health and minimizing chronic illnesses. The complicated atmosphere of the exercise response can be attributed to hereditary and environmental variables. The primary cause of these adaptations and physiological responses is the transcriptional reactions that follow exercise, whether endurance- (ET) or resistance- training (RT). As a result, the essential metabolic and regulatory pathways and myogenic genes associated with skeletal muscle alter in response to acute and chronic exercise. Epigenetics is the study of the relationship between genetics and the environment. Exercise evokes signaling pathways that strongly alter myofiber metabolism and skeletal muscle physiological and contractile properties. Epigenetic modifications have recently come to light as essential regulators of exercise adaptations. Research has shown various epigenetic markers linked to PA and exercise. The most critical epigenetic alterations in gene transcription identified are DNA methylation and histone modifications, which are associated with the transcriptional response of skeletal muscle to exercise and facilitate the modification to exercise. Other changes in the epigenetic markers are starting to emerge as essential processes for gene transcription, including acetylation as a new epigenetic modification, mediated changes by methylation, phosphorylation, and micro-RNA (miRNA). This review briefly introduces PA and exercise and associated benefits, provides a summary of epigenetic modifications, and a fundamental review of skeletal muscle physiology. The objectives of this review are 1) to discuss exercise-induced adaptations related to epigenetics and 2) to examine the interaction between exercise metabolism and epigenetics.

Small Nucleolar RNAs and the Brain: Growing Evidence Supporting Their Role in Psychiatric Disorders

Noncoding RNAs comprise most of the transcriptome and represent an emerging area of research. Among them, small nucleolar RNAs (snoRNAs) have emerged as a promising target because they have been associated with the development and evolution of several diseases, including psychiatric disorders. snoRNAs are expressed in the brain, with some showing brain-specific expression that indicates specific roles in brain development, function, and dysfunction. However, the role of snoRNAs in conditions that affect the brain needs further investigation to be better understood. This scoping review summarizes existing literature on studies that have investigated snoRNAs in psychiatry and offers insight into potential pathophysiological mechanisms to be further investigated in future research.

PIWI-interacting RNA biomarkers in gastrointestinal disease

Detection and diagnosis of neoplastic and inflammatory gastrointestinal (GI) diseases are typically based on endoscopic and pathologic examination. In GI neoplastic diseases, diagnosis can be delayed due to the expense and invasive nature of this approach. Recently, PIWI-interacting RNAs (piRNAs), a group of small non-coding RNA molecules containing 24-31 nucleotides, have been thought to serve as biomarkers in many disease processes. For example, piRNAs are differentially expressed in GI cancer but their biologic role remains unclear. Using next-generation sequencing and microarray analyses, researchers have suggested that monitoring piRNAs could facilitate diagnosis and prognosis in GI disease. Herein, we reviewed the use of piRNAs in neoplastic, inflammatory, functional, and other diseases of the digestive system, which could shed new light on cancer screening, early detection, and personalized treatment.

Small RNA and Toll-like receptor interactions: origins and disease mechanisms

Advances in small RNA sequencing have revealed diverse small noncoding RNAs (sncRNAs) beyond microRNAs (miRNAs), derived from transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), small nuclear RNAs (snRNAs), and Y RNAs, carrying distinct RNA modifications. These emerging sncRNAs can function beyond RNA interference (RNAi), adopting aptamer-like roles by interacting with Toll-like receptors 7 and 8 (TLR7 and TLR8) via specific sequences, modifications, and structures. We propose a Sequential Activation Hypothesis where initial abnormal sncRNAs - triggered by infections or stresses - activate TLR7/8, leading to autoantibody production against autoantigens like RNA-binding proteins La and Ro. These autoantibody-antigen complexes further promote secondary immunogenic sncRNA production and repetitive TLR7/8 activation, perpetuating a vicious cycle sustaining autoimmunity. TLR7/8's X chromosome location and sex-biased expression contribute to female-dominant autoimmune diseases. Understanding sncRNA-TLR interactions is essential for designing novel therapeutic strategies.

Emerging Delivery Systems for Enabling Precision Nucleic Acid Therapeutics

Nucleic acid therapeutics represent a highly promising treatment approach in modern medicine, treating diseases at the genetic level. However, these therapeutics face numerous challenges in practical applications, particularly regarding their stability, effectiveness, cellular uptake efficiency, and limitations in delivering them specifically to target tissues. To overcome these obstacles, researchers have developed various innovative delivery systems, including viral vectors, lipid nanoparticles, polymer nanoparticles, inorganic nanoparticles, protein carriers, exosomes, antibody oligonucleotide conjugates, and DNA nanostructure-based delivery systems. These systems enhance the therapeutic efficacy of nucleic acid drugs by improving their stability, targeting specificity, and half-life in vivo. In this review, we systematically discuss different types of nucleic acid drugs, analyze the major barriers encountered in their delivery, and summarize the current research progress in emerging delivery systems. We also highlight the latest advancements in the application of these systems for treating genetic diseases, infectious diseases, cancer, brain diseases, and wound healing. This review aims to provide a comprehensive overview of nucleic acid drug delivery systems' current status and future directions by integrating the latest advancements in nanotechnology, biomaterials science, and gene editing technologies, emphasizing their transformative potential in precision medicine.

The role of noncoding RNAs in bacterial immunity

The evolutionary arms race between bacteria and phages has driven the development of diverse anti-phage defense mechanisms. Recent studies have identified noncoding RNAs (ncRNAs) as key players in bacteria-phage conflicts, including CRISPR-Cas, toxin-antitoxin (TA), and reverse transcriptase (RT)-based defenses; however, our understanding of their roles in immunity is still emerging. In this review, we explore the multifaceted roles of ncRNAs in bacterial immunity, offering insights into their contributions to defense and anti-defense mechanisms, their influence on immune regulatory networks, and potential biotechnological applications. Finally, we highlight key outstanding questions in the field to spark future research directions.

Improved precision, sensitivity, and adaptability of ordered two-template relay cDNA library preparation for RNA sequencing

Sequencing RNAs that are biologically processed or degraded to less than ∼100 nt typically involves multistep, low-yield protocols with bias and information loss inherent to ligation and/or polynucleotide tailing. We recently introduced ordered two-template relay (OTTR), a method that captures obligatorily end-to-end sequences of input molecules and, in the same reverse transcription step, also appends 5' and 3' sequencing adapters of choice. OTTR has been thoroughly benchmarked for optimal production of microRNA, tRNA and tRNA fragments, and ribosome-protected mRNA footprint libraries. Here we sought to characterize, quantify, and ameliorate any remaining bias or imprecision in the end-to-end capture of RNA sequences. We introduce new metrics for the evaluation of sequence capture and use them to optimize reaction buffers, reverse transcriptase sequence, adapter oligonucleotides, and overall workflow. Modifications of the reverse transcriptase and adapter oligonucleotides increased the 3' and 5' end-precision of sequence capture and minimized overall library bias. Improvements in recombinant expression and purification of the truncated Bombyx mori R2 reverse transcriptase used in OTTR reduced nonproductive sequencing reads by minimizing bacterial nucleic acids that compete with low-input RNA molecules for cDNA synthesis, such that with miRNA input of 3 pg (<1 fmol), fewer than 10% of sequencing reads are bacterial nucleic acid contaminants. We also introduce a rapid, automation-compatible OTTR protocol that enables gel-free, length-agnostic enrichment of cDNA duplexes from unwanted adapter-only side products. Overall, this work informs considerations for unbiased end-to-end capture and annotation of RNAs independent of their sequence, structure, or posttranscriptional modifications.

Application Strategies of Super-Enhancer RNA in Cardiovascular Diseases

Cardiovascular diseases (CVDs) are a leading cause of death worldwide, and new therapeutic strategies are urgently needed. In recent years, enhancer RNAs (eRNAs) have gradually attracted attention because they offer new directions for the treatment of CVDs. Super-enhancer RNAs (seRNAs) are a subset of non-coding RNAs that are transcribed from regions of the genome known as super enhancers, which are large clusters of enhancers with a high density of transcription factors and cofactors. These regions play a pivotal role in regulating genes involved in cell identity and disease progression. This article reviews the characteristics of seRNAs, their expression patterns, and regulatory mechanisms in the cardiovascular system. We also explore their role in the occurrence and development of CVDs, as well as their potential as diagnostic biomarkers and therapeutic targets. Currently, therapies targeting seRNAs are a research hotspot. The development of specific inhibitors or activators is expected to facilitate precise interventions for CVDs. In addition, the use of gene editing techniques to modify relevant eRNA introduces new possibilities for disease treatment. This review aims to provide a comprehensive overview of seRNAs in CVDs and discusses their potential as a novel class of therapeutic targets.

Small Nucleolar RNAs in Head and Neck Squamous Cell Carcinomas

Small nucleolar RNAs (snoRNAs), a distinct class of noncoding RNAs, encompass highly diverse structures and have a range of 60 to 300 nucleotides in length. About 90% of human snoRNAs are intronic and embedded within introns of their host gene transcripts. Most snoRNAs enriched in specific tissue correlate in abundance with their parental host genes. Advancements in high-throughput sequencing have facilitated the discovery of dysregulated snoRNA expression in numerous human malignancies including head and neck squamous cell carcinoma (HNSCC). Hundreds of differentially expressed snoRNAs have been identified in HNSCC tissues. Among 1,524 snoRNA genes in a 567 HNSCC cohort, 113 snoRNAs were found to be survival related. As for snoRNA's roles in HNSCC, based on the available evidence, dysregulated snoRNAs are closely associated with the carcinogenesis and development of HNSCC. Upregulated snoRNAs have been shown to augment the expression of other oncogenes or activate the Wnt/β-catenin signaling pathway, thereby promoting tumor cell viability, glycolysis, migration, and the epithelial-mesenchymal transition while inhibiting apoptosis in vitro. In vivo animal studies have further elucidated the functional roles of snoRNAs. Knockdown of host genes of these snoRNAs suppressed the Wnt/β-catenin signaling pathway and restrained tumor proliferation and aggressiveness in mice. The putative mechanisms underlying these observations are associated with the biological functions of snoRNAs, primarily involving microRNA-like functions through the generation of microRNA-like fragments and regulation of alternative splicing to yield diverse transcripts. While most of the snoRNAs are upregulated in HNSCC, 4 downregulated snoRNAs have been identified and annotated. SNORA36B (implicated in the regulation of DNA templates) and U3 (chr17, influencing cell proliferation) may serve as protective factors associated with prolonged overall survival. This review describes the viable structures of snoRNAs, endeavors to refine snoRNA sequencing technology, and summarizes snoRNAs' expression profile as well as their role in HNSCC progression for potential diagnostic and therapeutic strategies for HNSCC management.

Recent Insights Into Wnt-Related tRNA-Derived Fragments (tRFs) in Human Diseases

tRNA-derived fragments (tRFs) are a newly recognized class of small noncoding RNAs (sncRNAs) that play significant roles in various diseases. The Wnt pathway plays a key role in various physiological processes such as embryonic development, tissue renewal and regeneration. In the regulation of Wnt/β-catenin, Forkhead box k1(FOXK1), Frizzled class receptor 3 (FZD3), and Wnt5b can be targeted and inhibited by three tRFs: tRF3008A targets FOXK1 to inhibit colorectal cancer (CRC), 5'-tiRNAVal targets FZD3 to inhibit breast cancer (BrC), and tRF-22-8BWS7K092 targets Wnt5b to induce ferroptosis in lung cells. Additionally, tRF-24-V29K9UV3IU can inhibit the levels of FZD3, Van Gogh-like protein 1 (VANGL1), and cyclin D2 (CCND2) through an unexplained mechanism and play a role in inhibiting gastric cancer (GC). Clinical data has shown that the expression levels of certain tRFs are associated with the prognosis and pathological features of CRC and BrC patients. Low expression of tRF3008A is associated with poor prognosis and adverse pathological features in CRC patients, while high expression of tiRNA-Phe-GAA-003 and low expression of 5'-tiRNAVal are associated with poor prognosis and adverse pathological features in BrC patients. KEGG analysis has also shown that a variety of tRFs are involved in regulating the Wnt pathway and have been shown to play a role in a variety of diseases. For example, high expression of tRF-Gly-CCC-039 is associated with poor healing of diabetic foot, low expression of tsRNA-10277 is associated with high incidence of steroid-induced osteonecrosis of the femoral head (SONFH), high expression of tRF-22-8BWS7K092 is correlated with the severity of acute lung injury (ALI), and low expression of tsRNA-21109 is associated with the severity of systemic lupus erythematosus (SLE), and high expression of tRF-36-F900BY4D-84KRIME and tRF-23-87R8WP9IY, as well as low expression of tRF-40-86J8WPMN1E8Y7Z2R, were associated with high incidence of varicose vein (VV), and high expression of ts-34, was associated with high mortality of BrC. This article summarizes the biological function and mechanism of tRFs related to the Wnt pathway in cancer and other diseases, providing a new direction for subsequent translational medical research.

RNA profiles differ between small and large extracellular vesicle subsets isolated from porcine seminal plasma

BACKGROUND

Extracellular vesicles (EVs) are essential for cell-to-cell communication because they transport functionally active molecules, including proteins, RNA, and lipids, from secretory cells to nearby or distant target cells. Seminal plasma contains a large number of EVs (sEVs) that are phenotypically heterogeneous. The aim of the present study was to identify the RNA species contained in two subsets of porcine sEVs of different sizes, namely small sEVs (S-sEVs) and large sEVs (L-sEVs). The two subsets of sEVs were isolated from 54 seminal plasma samples by a method combining serial centrifugations, size exclusion chromatography, and ultrafiltration. The sEVs were characterized using an orthogonal approach. Analysis of RNA content and quantification were performed using RNA-seq analysis.

RESULTS

The two subsets of sEVs had different size distributions (P < 0.001). They also showed differences in concentration, morphology, and specific protein markers (P < 0.05). A total of 735 RNAs were identified and quantified, which included: (1) mRNAs, rRNAs, snoRNAs, snRNAs, tRNAs, other ncRNAs (termed as "all RNAs"), (2) miRNAs and (3) piRNAs. The distribution pattern of these RNA classes differed between S-sEVs and L-sEVs (P < 0.05). More than half of "all RNAs", miRNAs and piRNAs were found to be differentially abundant between S- and L-sEVs (FDR < 0.1%). Among the differentially abundant RNAs, "all RNAs" were more abundant in L- than in S-sEVs, whereas the most of the miRNAs were more abundant in S- than in L-sEVs. Differentially abundant piRNAs were equally distributed between S- and L-sEVs. Some of the all RNAs and miRNAs found to be differentially abundant between S- and L-sEVs were associated with sperm quality and functionality and male fertility success.

CONCLUSIONS

Small and large sEVs isolated from porcine seminal plasma show quantitative differences in RNA content. These differences would suggest that each sEV subtype exerts different functional activities in the targeted cells, namely spermatozoa and functional cells of the female reproductive tract.

Unraveling the mysteries of early embryonic arrest: genetic factors and molecular mechanisms

Early embryonic arrest (EEA) is a critical impediment in assisted reproductive technology (ART), affecting 40% of infertile patients by halting the development of early embryos from the zygote to blastocyst stage, resulting in a lack of viable embryos for successful pregnancy. Despite its prevalence, the molecular mechanism underlying EEA remains elusive. This review synthesizes the latest research on the genetic and molecular factors contributing to EEA, with a focus on maternal, paternal, and embryonic factors. Maternal factors such as irregularities in follicular development and endometrial environment, along with mutations in genes like NLRP5, PADI6, KPNA7, IGF2, and TUBB8, have been implicated in EEA. Specifically, PATL2 mutations are hypothesized to disrupt the maternal-zygotic transition, impairing embryo development. Paternal contributions to EEA are linked to chromosomal variations, epigenetic modifications, and mutations in genes such as CFAP69, ACTL7A, and M1AP, which interfere with sperm development and lead to infertility. Aneuploidy may disrupt spindle assembly checkpoints and pathways including Wnt, MAPK, and Hippo signaling, thereby contributing to EEA. Additionally, key genes involved in embryonic genome activation-such as ZSCAN4, DUXB, DUXA, NANOGNB, DPPA4, GATA6, ARGFX, RBP7, and KLF5-alongside functional disruptions in epigenetic modifications, mitochondrial DNA, and small non-coding RNAs, play critical roles in the onset of EEA. This review provides a comprehensive understanding of the genetic and molecular underpinnings of EEA, offering a theoretical foundation for the diagnosis and potential therapeutic strategies aimed at improving pregnancy outcomes.

Insights into the regulatory role of bacterial sncRNA and its extracellular delivery via OMVs

Small noncoding RNAs (sncRNAs) play important regulatory roles in bacterial physiological processes and host-pathogen interactions. Meanwhile, bacterial outer membrane vesicles (OMVs), as naturally secreted outer membrane structures, play a vital role in the interaction between bacteria and their living environment, including the host environment. However, most current studies focus on the biological functions of sncRNAs in bacteria or hosts, while neglecting the roles and regulatory mechanisms of the OMVs that encapsulate these sncRNAs. Therefore, this review aims to summarize the intracellular regulatory roles of bacterial sncRNAs in promoting pathogen survival by regulating virulence, modulating bacterial drug resistance, and regulating iron metabolism, and their extracellular regulatory function for influencing host immunity through host-pathogen interactions. Additionally, we introduce the key role played by OMVs, which serve as important cargoes in bacterial sncRNA-host interactions. We propose emerging pathways of sncRNA action to further discuss the mode of host-pathogen interactions, highlighting that the inhibition of sncRNA delivery by OMVs may prevent the occurrence of infection to some extent. Hence, this review lays the foundation for future prophylactic treatments against bacterial infections and strategies for addressing bacterial drug resistance. KEY POINTS: •sncRNAs have intracellular and extracellular regulatory functions in bacterial physiological processes and host-pathogen interactions. •OMVs are potential mediators between bacterial sncRNAs and host cells. •OMVs encapsulating sncRNAs have more potential biological functions.

Insight into noncanonical small noncoding RNAs in Influenza A virus infection

Influenza A virus (IAV) induces acute respiratory infections in birds and various mammals, including humans, and presents a significant global public health concern, with considerable economic consequences. Recently, researchers have shown keen interest in noncanonical small noncoding RNAs (sncRNAs) as carriers of epigenetic information, including tRNA-derived small RNAs (tsRNAs), rRNA-derived small RNA (rsRNAs), and Y RNA-derived small RNAs (ysRNAs). Particularly, tsRNAs and rsRNAs are detected in diverse species and demonstrate evolutionary conservation. We analyzed sncRNAs sequencing data in the pulmonary tissue of two genetically distinct mouse strains, C57BL/6J and DBA/2J, to explore strain-specific variations of sncRNAs in response to IAV infection. We systematically compiled information on noncanonical sncRNAs in these two strains and investigated the tsRNAs/rsRNAs/ysRNAs profiles influenced by IAV infection. Specifically, four noncanonical sncRNA families, including rsRNA-12S, GtsRNA-Arg-CCT, GtsRNA-Arg-TCT, and GtsRNA-Lys-TTT, exhibited upregulation upon IAV infection. Notably, DBA/2J mice showed earlier systemic differential expression of noncanonical sncRNAs after IAV infection compared to C57BL/6J mice. Additionally, our study revealed a strain-specific biogenesis of MtsRNAs in response to IAV infection. Also, distinct co-expression patterns of MtsRNAs were observed between C57BL/6J and DBA/2J mice, with DBA/2J mice showing broader positive co-expression of MtsRNAs with various sncRNA families compared to C57BL/6J mice. Our study provides a novel insight into noncanonical sncRNAs and their implications in IAV pathology and mouse strain specificity.

Detecting m6A RNA modification from nanopore sequencing using a semisupervised learning framework

Direct nanopore-based RNA sequencing can be used to detect posttranscriptional base modifications, such as N6-methyladenosine (m6A) methylation, based on the electric current signals produced by the distinct chemical structures of modified bases. A key challenge is the scarcity of adequate training data with known methylation modifications. We present Xron, a hybrid encoder-decoder framework that delivers a direct methylation-distinguishing basecaller by training on synthetic RNA data and immunoprecipitation (IP)-based experimental data in two steps. First, we generate data with more diverse modification combinations through in silico cross-linking. Second, we use this data set to train an end-to-end neural network basecaller followed by fine-tuning on IP-based experimental data with label smoothing. The trained neural network basecaller outperforms existing methylation detection methods on both read-level and site-level prediction scores. Xron is a standalone, end-to-end m6A-distinguishing basecaller capable of detecting methylated bases directly from raw sequencing signals, enabling de novo methylome assembly.

tRNA, yRNA, and rRNA fragment excisions do not involve canonical microRNA biogenesis machinery

The excision of specific tRNA-derived small RNAs (tsRNAs), yRNA-derived small RNAs (ysRNAs) and ribosomal RNA-derived small RNAs (rsRNAs) is now well established. Several reports have suggested many of these fragments function much like traditional microRNAs (miRNAs). That said, whereas the expressions of the majority of appreciably expressed miRNAs in HCT116 colon cancer cells are significantly decreased in individual knockouts (KOs) of DROSHA, DGCR8, XPO5, and DICER, on average, only 3.5% of tsRNA, ysRNA, and rsRNA expressions are impaired. Conversely, tsRNA, ysRNA, and rsRNA expressions are significantly increased in each of these KOs as compared to WT. As such, although DICER has been suggested to be involved with the expression of specific tsRNAs, ysRNAs, and rsRNAs, our study finds no evidence supporting the involvement of any of these canonical miRNA biogenesis enzymes in their expressions.

Improved precision, sensitivity, and adaptability of Ordered Two-Template Relay cDNA library preparation for RNA sequencing

Sequencing RNAs that are biologically processed or degraded to less than ~100 nucleotides typically involves multi-step, low-yield protocols with bias and information loss inherent to ligation and/or polynucleotide tailing. We recently introduced Ordered Two-Template Relay (OTTR), a method that captures obligatorily end-to-end sequences of input molecules and, in the same reverse transcription step, also appends 5' and 3' sequencing adapters of choice. OTTR has been thoroughly benchmarked for optimal production of microRNA, tRNA and tRNA fragments, and ribosome-protected mRNA footprint libraries. Here we sought to characterize, quantify, and ameliorate any remaining bias or imprecision in the end-to-end capture of RNA sequences. We introduce new metrics for the evaluation of sequence capture and use them to optimize reaction buffers, reverse transcriptase sequence, adapter oligonucleotides, and overall workflow. Modifications of the reverse transcriptase and adapter oligonucleotides increased the 3' and 5' end-precision of sequence capture and minimized overall library bias. Improvements in recombinant expression and purification of the truncated Bombyx mori R2 reverse transcriptase used in OTTR reduced non-productive sequencing reads by minimizing bacterial nucleic acids that compete with low-input RNA molecules for cDNA synthesis, such that with miRNA input of 3 picograms (less than 1 fmol), fewer than 10% of sequencing reads are bacterial nucleic acid contaminants. We also introduce a rapid, automation-compatible OTTR protocol that enables gel-free, length-agnostic enrichment of cDNA duplexes from unwanted adapter-only side products. Overall, this work informs considerations for unbiased end-to-end capture and annotation of RNAs independent of their sequence, structure, or post-transcriptional modifications.

Mitochondrial small RNA alterations associated with increased lysosome activity in an Alzheimer's Disease Mouse Model uncovered by PANDORA-seq

Emerging small noncoding RNAs (sncRNAs), including tRNA-derived small RNAs (tsRNAs) and rRNA-derived small RNAs (rsRNAs), are critical in various biological processes, such as neurological diseases. Traditional sncRNA-sequencing (seq) protocols often miss these sncRNAs due to their modifications, such as internal and terminal modifications, that can interfere with sequencing. We recently developed panoramic RNA display by overcoming RNA modification aborted sequencing (PANDORA-seq), a method enabling comprehensive detection of modified sncRNAs by overcoming the RNA modifications. Using PANDORA-seq, we revealed a novel sncRNA profile enriched by tsRNAs/rsRNAs in the mouse prefrontal cortex and found a significant downregulation of mitochondrial tsRNAs and rsRNAs in an Alzheimer's disease (AD) mouse model compared to wild-type controls, while this pattern is not present in the genomic tsRNAs and rsRNAs. Moreover, our integrated analysis of gene expression and sncRNA profiles reveals that those downregulated mitochondrial sncRNAs negatively correlate with enhanced lysosomal activity, suggesting a crucial interplay between mitochondrial RNA dynamics and lysosomal function in AD. Given the versatile tsRNA/tsRNA molecular actions in cellular regulation, our data provide insights for future mechanistic study of AD with potential therapeutic strategies.

A ligation-independent sequencing method reveals tRNA-derived RNAs with blocked 3' termini

Despite the numerous sequencing methods available, the diversity in RNA size and chemical modification makes it difficult to capture all RNAs in a cell. We developed a method that combines quasi-random priming with template switching to construct sequencing libraries from RNA molecules of any length and with any type of 3' modifications, allowing for the sequencing of virtually all RNA species. Our ligation-independent detection of all types of RNA (LIDAR) is a simple, effective tool to identify and quantify all classes of coding and non-coding RNAs. With LIDAR, we comprehensively characterized the transcriptomes of mouse embryonic stem cells, neural progenitor cells, mouse tissues, and sperm. LIDAR detected a much larger variety of tRNA-derived RNAs (tDRs) compared with traditional ligation-dependent sequencing methods and uncovered tDRs with blocked 3' ends that had previously escaped detection. Therefore, LIDAR can capture all RNAs in a sample and uncover RNA species with potential regulatory functions.

A glimpse into the world of microRNAs and their putative roles in hard ticks

Ticks are important blood feeding ectoparasites that transmit pathogens to wildlife, domestic animals, and humans. Hard ticks can feed for several days to weeks, nevertheless they often go undetected. This phenomenon can be explained by a tick's ability to release analgesics, immunosuppressives, anticoagulants, and vasodilators within their saliva. Several studies have identified extracellular vesicles (EVs) as carriers of some of these effector molecules. Further, EVs, and their contents, enhance pathogen transmission, modulate immune responses, and delay wound healing. EVs are double lipid-membrane vesicles that transport intracellular cargo, including microRNAs (miRNAs) to recipient cells. miRNAs are involved in regulating gene expression post-transcriptionally. Interestingly, tick-derived miRNAs have been shown to enhance pathogen transmission and affect vital biological processes such as oviposition, blood digestion, and molting. miRNAs have been found within tick salivary EVs. This review focuses on current knowledge of miRNA loading into EVs and homologies reported in ticks. We also describe findings in tick miRNA profiles, including miRNAs packed within tick salivary EVs. Although no functional studies have been done to investigate the role of EV-derived miRNAs in tick feeding, we discuss the functional characterization of miRNAs in tick biology and pathogen transmission. Lastly, we propose the possible uses of tick miRNAs to develop management tools for tick control and to prevent pathogen transmission. The identification and functional characterization of conserved and tick-specific salivary miRNAs targeting important molecular and immunological pathways within the host could lead to the discovery of new therapeutics for the treatment of tick-borne and non-tick-borne human diseases.

Mass Spectrometry-Based Direct Sequencing of tRNAs De Novo and Quantitative Mapping of Multiple RNA Modifications

Despite the extensive use of next-generation sequencing (NGS) of RNA, simultaneous direct sequencing and quantitative mapping of multiple RNA nucleotide modifications remains challenging. Mass spectrometry (MS)-based sequencing can directly sequence all RNA modifications without being limited to specific ones, but it requires a perfect MS ladder that few tRNAs can provide. Here, we describe an MS ladder complementation sequencing approach (MLC-Seq) that circumvents the perfect ladder requirement, allowing de novo MS sequencing of full-length heterogeneous cellular tRNAs with multiple nucleotide modifications at single-nucleotide precision. Unlike NGS-based methods, which lose RNA modification information, MLC-Seq preserves RNA sequence diversity and modification information, revealing new detailed stoichiometric tRNA modification profiles and their changes upon treatment with the dealkylating enzyme AlkB. It can also be combined with reference sequences to provide quantitative analysis of diverse tRNAs and modifications in total tRNA samples. MLC-Seq enables systematic, quantitative, and site-specific mapping of RNA modifications, revealing the truly complete informational content of tRNA.

tsRNA modifications: An emerging layer of biological regulation in disease

BACKGROUND

Transfer RNA (tRNA)-derived small RNA (tsRNA) represents an important and increasingly valued type of small non-coding RNA (sncRNA). The investigation of tRNA and tsRNA modification crosswalks has not only provided novel insights into the information and functions of tsRNA, but has also expanded the diversity and complexity of the tsRNA biological regulation network.

AIM OF REVIEW

Comparing with other sncRNAs, tsRNA biogenesis show obvious correlation with RNA modifications from mature tRNA and harbor various tRNA modifications. In this review, we aim to present the current aspect of tsRNA modifications and that modified tsRNA shape different regulatory mechanisms in physiological and pathological processes.

KEY SCIENTIFIC CONCEPTS OF REVIEW

Strategies for studying tsRNA mechanisms include its specific generation and functional effects induced by sequence/RNA modification/secondary structure. tsRNAs could harbor more than one tRNA modifications such as 5-methylcytosine (m5C), N1-methyladenosine (m1A), pseudouridine (Ψ) and N7-methylguanosine (m7G). This review consolidates the current knowledge of tRNA modification regulating tsRNA biogenesis, outlines the functional roles of various modified tsRNA and highlights their specific contributions in various disease pathogenesis. Therefore, the improvement of tsRNA modification detection technology and the introduction of experimental methods of tsRNA modification are conducive to further broadening the understanding of tsRNA function at the level of RNA modification.

Paternal hypercholesterolemia elicits sex-specific exacerbation of atherosclerosis in offspring

Emerging studies suggest that various parental exposures affect offspring cardiovascular health, yet the specific mechanisms, particularly the influence of paternal cardiovascular disease (CVD) risk factors on offspring cardiovascular health, remain elusive. The present study explores how paternal hypercholesterolemia affects offspring atherosclerosis development using the LDL receptor-deficient (LDLR-/-) mouse model. We found that paternal high-cholesterol diet feeding led to significantly increased atherosclerosis in F1 female, but not male, LDLR-/- offspring. Transcriptomic analysis highlighted that paternal hypercholesterolemia stimulated proatherogenic genes, including Ccn1 and Ccn2, in the intima of female offspring. Sperm small noncoding RNAs (sncRNAs), particularly transfer RNA-derived (tRNA-derived) small RNAs (tsRNAs) and rRNA-derived small RNAs (rsRNAs), contribute to the intergenerational transmission of paternally acquired metabolic phenotypes. Using a newly developed PANDORA-Seq method, we identified that high-cholesterol feeding elicited changes in sperm tsRNA/rsRNA profiles that were undetectable by traditional RNA-Seq, and these altered sperm sncRNAs were potentially key factors mediating paternal hypercholesterolemia-elicited atherogenesis in offspring. Interestingly, high-cholesterol feeding altered sncRNA biogenesis-related gene expression in the epididymis but not testis of LDLR-/- sires; this may have led to the modified sperm sncRNA landscape. Our results underscore the sex-specific intergenerational effect of paternal hypercholesterolemia on offspring cardiovascular health and contribute to the understanding of chronic disease etiology originating from parental exposures.

Advances in noncoding RNA in children allergic rhinitis

BACKGROUND

A chronic condition that significantly reduces a child's quality of life is allergic rhinitis (AR). The environment and allergens that the body is regularly exposed to can cause inflammatory and immunological reactions, which can change the expression of certain genes Epigenetic changes are closely linked to the onset and severity of allergy disorders according to mounting amounts of data. Noncoding RNAs (ncRNAs) are a group of RNA molecules that cannot be converted into polypeptides. The three main categories of ncRNAs include microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs). NcRNAs play a crucial role in controlling gene expression and contribute to the development of numerous human diseases.

METHODS

Articles are selected based on Pubmed's literature review and the author's personal knowledge. The largest and highest quality studies were included. The search selection is not standardized.

RESULTS

Recent findings indicate that various categories of ncRNAs play distinct yet interconnected roles and actively contribute to intricate gene regulatory networks.

CONCLUSION

This article demonstrates the significance and progress of ncRNAs in children's AR. The database covers three key areas: miRNAs, lncRNAs, and circRNAs. Additionally, potential avenues for future research to facilitate the practical application of ncRNAs as therapeutic targets and biomarkers will be explore.

Spinal Cord Injury: From MicroRNAs to Exosomal MicroRNAs

Spinal cord injury (SCI) is an unfortunate experience that may generate extensive sensory and motor disabilities due to the destruction and passing of nerve cells. MicroRNAs are small RNA molecules that do not code for proteins but instead serve to regulate protein synthesis by targeting messenger RNA's expression. After SCI, secondary damage like apoptosis, oxidative stress, inflammation, and autophagy occurs, and differentially expressed microRNAs show a function in these procedures. Almost all animal and plant cells release exosomes, which are sophisticated formations of lipid membranes. These exosomes have the capacity to deliver significant materials, such as proteins, RNAs and lipids, to cells in need, regulating their functions and serving as a way of communication. This new method offers a fresh approach to treating spinal cord injury. Obviously, the exosome has the benefit of conveying the transported material across performing regulatory activities and the blood-brain barrier. Among the exosome cargoes, microRNAs, which modulate their mRNA targets, show considerable promise in the pathogenic diagnosis, process, and therapy of SCI. Herein, we describe the roles of microRNAs in SCI. Furthermore, we emphasize the importance of exosomal microRNAs in this disease.

The Biosynthesis Process of Small RNA and Its Pivotal Roles in Plant Development

In the realm of plant biology, small RNAs (sRNAs) are imperative in the orchestration of gene expression, playing pivotal roles across a spectrum of developmental sequences and responses to environmental stressors. The biosynthetic cascade of sRNAs is characterized by an elaborate network of enzymatic pathways that meticulously process double-stranded RNA (dsRNA) precursors into sRNA molecules, typically 20 to 30 nucleotides in length. These sRNAs, chiefly microRNAs (miRNAs) and small interfering RNAs (siRNAs), are integral in guiding the RNA-induced silencing complex (RISC) to selectively target messenger RNAs (mRNAs) for post-transcriptional modulation. This regulation is achieved either through the targeted cleavage or the suppression of translational efficiency of the mRNAs. In plant development, sRNAs are integral to the modulation of key pathways that govern growth patterns, organ differentiation, and developmental timing. The biogenesis of sRNA itself is a fine-tuned process, beginning with transcription and proceeding through a series of processing steps involving Dicer-like enzymes and RNA-binding proteins. Recent advances in the field have illuminated the complex processes underlying the generation and function of small RNAs (sRNAs), including the identification of new sRNA categories and the clarification of their involvement in the intercommunication among diverse regulatory pathways. This review endeavors to evaluate the contemporary comprehension of sRNA biosynthesis and to underscore the pivotal role these molecules play in directing the intricate performance of plant developmental processes.

Synthesis and Regulation of miRNA, Its Role in Oncogenesis, and Its Association with Colorectal Cancer Progression, Diagnosis, and Prognosis

The dysfunction of several types of regulators, including miRNAs, has recently attracted scientific attention for their role in cancer-associated changes in gene expression. MiRNAs are small RNAs of ~22 nt in length that do not encode protein information but play an important role in post-transcriptional mRNA regulation. Studies have shown that miRNAs are involved in tumour progression, including cell proliferation, cell cycle, apoptosis, and tumour angiogenesis and invasion, and play a complex and important role in the regulation of tumourigenesis. The detection of selected miRNAs may help in the early detection of cancer cells, and monitoring changes in their expression profile may serve as a prognostic factor in the course of the disease or its treatment. MiRNAs may serve as diagnostic and prognostic biomarkers, as well as potential therapeutic targets for colorectal cancer. In recent years, there has been increasing evidence for an epigenetic interaction between DNA methylation and miRNA expression in tumours. This article provides an overview of selected miRNAs, which are more frequently expressed in colorectal cancer cells, suggesting an oncogenic nature.

Exploring the regulatory role of tsRNAs in the TNF signaling pathway: Implications for cancer and non-cancer diseases

Transfer RNA-derived small RNAs (tsRNAs), a recently identified subclass of small non-coding RNAs (sncRNAs), emerge through the cleavage of mature transfer RNA (tRNA) or tRNA precursors mediated by specific enzymes. The tumor necrosis factor (TNF) protein, a signaling molecule produced by activated macrophages, plays a pivotal role in systemic inflammation. Its multifaceted functions include the capacity to eliminate or hinder tumor cells, enhance the phagocytic capabilities of neutrophils, confer resistance against infections, induce fever, and prompt the production of acute phase proteins. Notably, four TNF-related tsRNAs have been conclusively linked to distinct diseases. Examples include 5'tiRNA-Gly in skeletal muscle injury, tsRNA-21109 in systemic lupus erythematosus (SLE), tRF-Leu-AAG-001 in endometriosis (EMs), and tsRNA-04002 in intervertebral disk degeneration (IDD). These tsRNAs exhibit the ability to suppress the expression of TNF-α. Additionally, KEGG analysis has identified seven tsRNAs potentially involved in modulating the TNF pathway, exerting their influence across a spectrum of non-cancerous diseases. Noteworthy instances include aberrant tiRNA-Ser-TGA-001 and tRF-Val-AAC-034 in intrauterine growth restriction (IUGR), irregular tRF-Ala-AGC-052 and tRF-Ala-TGC-027 in obesity, and deviant tiRNA-His-GTG-001, tRF-Ser-GCT-113, and tRF-Gln-TTG-035 in irritable bowel syndrome with diarrhea (IBS-D). This comprehensive review explores the biological functions and mechanisms of tsRNAs associated with the TNF signaling pathway in both cancer and other diseases, offering novel insights for future translational medical research.

Toll-like receptor 7: A novel neuroimmune target to reduce excessive alcohol consumption

Toll-like receptors (TLRs) are a family of innate immune receptors that recognize molecular patterns in foreign pathogens and intrinsic danger/damage signals from cells. TLR7 is a nucleic acid sensing endosomal TLR that is activated by single-stranded RNAs from microbes or by small noncoding RNAs that act as endogenous ligands. TLR7 signals through the MyD88 adaptor protein and activates the transcription factor interferon regulatory factor 7 (IRF7). TLR7 is found throughout the brain and is highly expressed in microglia, the main immune cells of the brain that have also been implicated in alcohol drinking in mice. Upregulation of TLR7 mRNA and protein has been identified in postmortem hippocampus and cortex from AUD subjects that correlated positively with lifetime consumption of alcohol. Similarly, Tlr7 and downstream signaling genes were upregulated in rat hippocampal and cortical slice cultures after chronic alcohol exposure and in these regions after chronic binge-like alcohol treatment in mice. In addition, repeated administration of the synthetic TLR7 agonists imiquimod (R837) or resiquimod (R848) increased voluntary alcohol drinking in different rodent models and produced sustained upregulation of IRF7 in the brain. These findings suggest that chronic TLR7 activation may drive excessive alcohol drinking. In the brain, this could occur through increased levels of endogenous TLR7 activators, like microRNAs and Y RNAs. This review explores chronic TLR7 activation as a pathway of dysregulated neuroimmune signaling in AUD and the endogenous small RNA ligands in the brain that could perpetuate innate immune responses and escalate alcohol drinking.

A trans-acting sRNA SaaS targeting hilD, cheA and csgA to inhibit biofilm formation of S. Enteritidis

INTRODUCTION

Salmonella Enteritidis has brought great harm to public health, animal production and food safety worldwide. The biofilm formed by Salmonella Enteritidis plays a critical role in microbial cross-contamination. Small non-coding RNAs (sRNAs) have been demonstrated to be responsible for regulating the formation of biofilm. The sRNA SaaS has been identified previously, that promotes pathogenicity by regulating invasion and virulence factors. However, whether the SaaS is implicated in regulating biofilm formation in abiotic surfaces remains unclear.

OBJECTIVES

This study aimed to clarify the effect of SaaS in Salmonella Enteritidis and explore the modulatory mechanism on the biofilm formation.

METHODS

Motility characteristics and total biomass of biofilm of test strains were investigated by the phenotypes in three soft agar plates and crystal violet staining in polystyrene microplates. Studies of microscopic structure and extracellular polymeric substances (EPS) of biofilm on solid surfaces were carried out using confocal laser scanning microscope (CLSM) and Raman spectra. Transcriptomics and proteomics were applied to analyze the changes of gene expression and EPS component. The RNA-protein pull-down and promoter-reporter β-galactosidase activity assays were employed to analyze RNA binding proteins and identify target mRNAs, respectively.

RESULTS

SaaS inhibits biofilm formation by repressing the adhesion potential and the secretion of EPS components. Integration of transcriptomics and proteomics analysis revealed that SaaS strengthened the expression of the flagellar synthesis system and downregulated the expression of curli amyloid fibers. Furthermore, RNA-protein pull-down interactome datasets indicated that SaaS binds to Hfq (an RNA molecular chaperone protein, known as a host factor for phage Qbeta RNA replication) uniquely among 193 candidate proteins, and promoter-reporter β-galactosidase activity assay confirmed target mRNAs including hilD, cheA, and csgA.

CONCLUSION

SaaS inhibits the properties of bacterial mobility, perturbs the secretion of EPS, and contributes to the inhibition of biofilm formation by interacting with target mRNA (hilD, cheA, and csgA) through the Hfq-mediated pathway.

Father's diet influences son's metabolic health through sperm RNA

DNA from organelles called mitochondria is not inherited from the father. But mitochondrial RNAs that sense paternal diet and mitochondrial quality are delivered from sperm to egg, affecting offspring metabolism.

Future in the past: paternal reprogramming of offspring phenotype and the epigenetic mechanisms

That certain preconceptual paternal exposures reprogram the developmental phenotypic plasticity in future generation(s) has conceptualized the "paternal programming of offspring health" hypothesis. This transgenerational effect is transmitted primarily through sperm epigenetic mechanisms-DNA methylation, non-coding RNAs (ncRNAs) and associated RNA modifications, and histone modifications-and potentially through non-sperm-specific mechanisms-seminal plasma and circulating factors-that create 'imprinted' memory of ancestral information. The epigenetic landscape in sperm is highly responsive to environmental cues, due to, in part, the soma-to-germline communication mediated by epididymosomes. While human epidemiological studies and experimental animal studies have provided solid evidences in support of transgenerational epigenetic inheritance, how ancestral information is memorized as epigenetic codes for germline transmission is poorly understood. Particular elusive is what the downstream effector pathways that decode those epigenetic codes into persistent phenotypes. In this review, we discuss the paternal reprogramming of offspring phenotype and the possible underlying epigenetic mechanisms. Cracking these epigenetic mechanisms will lead to a better appreciation of "Paternal Origins of Health and Disease" and guide innovation of intervention algorithms to achieve 'healthier' outcomes in future generations. All this will revolutionize our understanding of human disease etiology.

PIWI-Interacting RNAs: A Pivotal Regulator in Neurological Development and Disease

PIWI-interacting RNAs (piRNAs), a class of small non-coding RNAs (sncRNAs) with 24-32 nucleotides (nt), were initially identified in the reproductive system. Unlike microRNAs (miRNAs) or small interfering RNAs (siRNAs), piRNAs normally guide P-element-induced wimpy testis protein (PIWI) families to slice extensively complementary transposon transcripts without the seed pairing. Numerous studies have shown that piRNAs are abundantly expressed in the brain, and many of them are aberrantly regulated in central neural system (CNS) disorders. However, the role of piRNAs in the related developmental and pathological processes is unclear. The elucidation of piRNAs/PIWI would greatly improve the understanding of CNS development and ultimately lead to novel strategies to treat neural diseases. In this review, we summarized the relevant structure, properties, and databases of piRNAs and their functional roles in neural development and degenerative disorders. We hope that future studies of these piRNAs will facilitate the development of RNA-based therapeutics for CNS disorders.

Untacking small RNA profiling and RNA fragment footprinting: Approaches and challenges in library construction

Small RNAs (sRNAs) with sizes ranging from 15 to 50 nucleotides (nt) are critical regulators of gene expression control. Prior studies have shown that sRNAs are involved in a broad range of biological processes, such as organ development, tumorigenesis, and epigenomic regulation; however, emerging evidence unveils a hidden layer of diversity and complexity of endogenously encoded sRNAs profile in eukaryotic organisms, including novel types of sRNAs and the previously unknown post-transcriptional RNA modifications. This underscores the importance for accurate, unbiased detection of sRNAs in various cellular contexts. A multitude of high-throughput methods based on next-generation sequencing (NGS) are developed to decipher the sRNA expression and their modifications. Nonetheless, distinct from mRNA sequencing, the data from sRNA sequencing suffer frequent inconsistencies and high variations emanating from the adapter contaminations and RNA modifications, which overall skew the sRNA libraries. Here, we summarize the sRNA-sequencing approaches, and discuss the considerations and challenges for the strategies and methods of sRNA library construction. The pros and cons of sRNA sequencing have significant implications for implementing RNA fragment footprinting approaches, including CLIP-seq and Ribo-seq. We envision that this review can inspire novel improvements in small RNA sequencing and RNA fragment footprinting in future. This article is categorized under: RNA Evolution and Genomics > Computational Analyses of RNA RNA Processing > Processing of Small RNAs Regulatory RNAs/RNAi/Riboswitches > Biogenesis of Effector Small RNAs.

Adaptive regulation of miRNAs/milRNAs in tissue-specific interaction between apple and Valsa mali

In plant-pathogen interactions, pathogens display tissue specificity, infecting and causing disease in particular tissues. However, the involvement of microRNAs/microRNA-like RNAs (miRNAs/milRNAs) in tissue-specific regulation during plant-pathogen interactions remains largely unexplored. This study investigates the differential expression of miRNAs/milRNAs, as well as their corresponding target genes, in interactions between Valsa mali (Vm) and different apple tissues. The results demonstrated that both apple miRNAs and Vm milRNAs exhibited distinct expression profiles when Vm infected bark and leaves, with functionally diverse corresponding target genes. Furthermore, one apple miRNA (Mdo-miR482a) and one Vm milRNA (Vm-milR57) were identified as exhibiting tissue-specific expression in interactions between Vm and apple bark or leaves. Mdo-miR482a was exclusively up-regulated in response to Vm infection in bark and target a nucleotide-binding leucine-rich repeat (NLR) gene of apple. When Mdo-miR482a was transiently over-expressed or silenced, the resistance was significantly reduced or improved. Similarly, transient expression of the NLR gene also showed an increase in resistance. Vm-milR57 could target two essential pathogenicity-related genes of Vm. During Vm infection in bark, the expression of Vm-milR57 was down-regulated to enhance the expression of the corresponding target gene to improve the pathogenicity. The study is the first to reveal tissue-specific characteristics of apple miRNAs and Vm milRNAs in interactions between Vm and different apple tissues, providing new insights into adaptive regulation in tissue-specific interactions between plants and fungi.

SARS-CoV-2 remodels the landscape of small non-coding RNAs with infection time and symptom severity

The COVID-19 pandemic caused by the coronavirus SARS-CoV-2 has significantly impacted global health, stressing the necessity of basic understanding of the host response to this viral infection. In this study, we investigated how SARS-CoV-2 remodels the landscape of small non-coding RNAs (sncRNA) from a large collection of nasopharyngeal swab samples taken at various time points from patients with distinct symptom severity. High-throughput RNA sequencing analysis revealed a global alteration of the sncRNA landscape, with abundance peaks related to species of 21-23 and 32-33 nucleotides. Host-derived sncRNAs, including microRNAs (miRNAs), transfer RNA-derived small RNAs (tsRNAs), and small nucleolar RNA-derived small RNAs (sdRNAs) exhibited significant differential expression in infected patients compared to controls. Importantly, miRNA expression was predominantly down-regulated in response to SARS-CoV-2 infection, especially in patients with severe symptoms. Furthermore, we identified specific tsRNAs derived from Glu- and Gly-tRNAs as major altered elements upon infection, with 5' tRNA halves being the most abundant species and suggesting their potential as biomarkers for viral presence and disease severity prediction. Additionally, down-regulation of C/D-box sdRNAs and altered expression of tinyRNAs (tyRNAs) were observed in infected patients. These findings provide valuable insights into the host sncRNA response to SARS-CoV-2 infection and may contribute to the development of further diagnostic and therapeutic strategies in the clinic.

tRNA-derived small RNAs in human cancers: roles, mechanisms, and clinical application

Transfer RNA (tRNA)-derived small RNAs (tsRNAs) are a new type of non-coding RNAs (ncRNAs) produced by the specific cleavage of precursor or mature tRNAs. tsRNAs are involved in various basic biological processes such as epigenetic, transcriptional, post-transcriptional, and translation regulation, thereby affecting the occurrence and development of various human diseases, including cancers. Recent studies have shown that tsRNAs play an important role in tumorigenesis by regulating biological behaviors such as malignant proliferation, invasion and metastasis, angiogenesis, immune response, tumor resistance, and tumor metabolism reprogramming. These may be new potential targets for tumor treatment. Furthermore, tsRNAs can exist abundantly and stably in various bodily fluids (e.g., blood, serum, and urine) in the form of free or encapsulated extracellular vesicles, thereby affecting intercellular communication in the tumor microenvironment (TME). Meanwhile, their abnormal expression is closely related to the clinicopathological features of tumor patients, such as tumor staging, lymph node metastasis, and poor prognosis of tumor patients; thus, tsRNAs can be served as a novel type of liquid biopsy biomarker. This review summarizes the discovery, production, and expression of tsRNAs and analyzes their molecular mechanisms in tumor development and potential applications in tumor therapy, which may provide new strategies for early diagnosis and targeted therapy of tumors.

Comprehensive map of ribosomal 2'-O-methylation and C/D box snoRNAs in Drosophila melanogaster

During their maturation, ribosomal RNAs (rRNAs) are decorated by hundreds of chemical modifications that participate in proper folding of rRNA secondary structures and therefore in ribosomal function. Along with pseudouridine, methylation of the 2'-hydroxyl ribose moiety (Nm) is the most abundant modification of rRNAs. The majority of Nm modifications in eukaryotes are placed by Fibrillarin, a conserved methyltransferase belonging to a ribonucleoprotein complex guided by C/D box small nucleolar RNAs (C/D box snoRNAs). These modifications impact interactions between rRNAs, tRNAs and mRNAs, and some are known to fine tune translation rates and efficiency. In this study, we built the first comprehensive map of Nm sites in Drosophila melanogaster rRNAs using two complementary approaches (RiboMethSeq and Nanopore direct RNA sequencing) and identified their corresponding C/D box snoRNAs by whole-transcriptome sequencing. We de novo identified 61 Nm sites, from which 55 are supported by both sequencing methods, we validated the expression of 106 C/D box snoRNAs and we predicted new or alternative rRNA Nm targets for 31 of them. Comparison of methylation level upon different stresses show only slight but specific variations, indicating that this modification is relatively stable in D. melanogaster. This study paves the way to investigate the impact of snoRNA-mediated 2'-O-methylation on translation and proteostasis in a whole organism.

Small Non-Coding RNAs and Their Role in Locoregional Metastasis and Outcomes in Early-Stage Breast Cancer Patients

Deregulation of small non-coding RNAs (sncRNAs) has been associated with the onset of metastasis. We evaluated the expression of sncRNAs in patients with early-stage breast cancer, performing RNA sequencing in 60 patients for whom tumor and sentinel lymph node (SLN) samples were available, and conducting differential expression, gene ontology, enrichment and survival analyses. Sequencing annotation classified most of the sncRNAs into small nucleolar RNA (snoRNAs, 70%) and small nuclear RNA (snRNA, 13%). Our results showed no significant differences in sncRNA expression between tumor or SLNs obtained from the same patient. Differential expression analysis showed down-regulation (n = 21) sncRNAs and up-regulation (n = 2) sncRNAs in patients with locoregional metastasis. The expression of SNHG5, SNORD90, SCARNA2 and SNORD78 differentiated luminal A from luminal B tumors, whereas SNORD124 up-regulation was associated with luminal B HER2+ tumors. Discriminating analysis and receiver-operating curve analysis revealed a signature of six snoRNAs (SNORD93, SNORA16A, SNORD113-6, SNORA7A, SNORA57 and SNORA18A) that distinguished patients with locoregional metastasis and predicted patient outcome. Gene ontology and Reactome pathway analysis showed an enrichment of biological processes associated with translation initiation, protein targeting to specific cell locations, and positive regulation of Wnt and NOTCH signaling pathways, commonly involved in the promotion of metastases. Our results point to the potential of several sncRNAs as surrogate markers of lymph node metastases and patient outcome in early-stage breast cancer patients. Further preclinical and clinical studies are required to understand the biological significance of the most significant sncRNAs and to validate our results in a larger cohort of patients.