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PubMed2026

miRNA Target Prediction: An Overview of the Past and Current Tools.

MicroRNAs (miRNAs) are among the most studied molecules in recent years, and since their discovery, many miRNAs have been identified across various species. As members of the non-coding RNA family, miRNAs are key players in post-transcriptional gene regulation. These molecules can inhibit translation or promote degradation of messenger RNA (mRNA) by binding to the 3' untranslated region (UTR) of mRNA, thereby influencing almost all biological processes. To identify a miRNA's biological role, it is essential to predict the target sites to which it binds, a goal made possible through bioinformatics tools. This chapter discusses the bioinformatics tools commonly used for this purpose. Also, it analyzes the main factors considered in target prediction, such as seed match, free energy, conservation, site accessibility, multiple binding site contribution, and machine learning and deep learning approaches. Understanding the principles underlying these predictive methodologies is crucial for advancing one's biological research on miRNAs.

MicroRNAs↗

PubMed2025

Bioinformatics analysis of miR-2861 and miR-5011-5p that function as potential tumor suppressors in colorectal carcinogenesis.

BACKGROUND: The study aimed to was to investigate the relationship between miR-2861, miR-5011-5p, and colorectal carcinogenesis. METHOD: In the present study, it was isolated RNA from both the tumor and non-tumor tissue of a total of 80 CRC patients and after synthesizing the cDNA, it was performed qRT-PCR to determine the expression levels of miR‑2861 and miR‑5011-5p. In addition, it was predicted that dysregulated miRNAs targets, pathways and functional gene annotations that may be important in colorectal carcinogenesis using KEGG pathway and GO analysis. RESULTS: The resulting data revealed that both expression levels of miR-2861 and miR-5011-5p were significantly decreased in tumor tissues compared with non-tumor tissues of CRC patients. The GO and KEGG pathway analysis showed that miR-2861 and miR-5011-5p may participate in multiple the biological process, cellular components, and molecular function subcategories such as mitotic cell cycle, regulation of small GTPase mediated signal transduction, cell death, and acid binding transcription factor activity. It was also revealed that target genes of miRNAs can be found in signaling pathways such as TGF-beta, Rap1, Ras, cAMP, Wnt, mTOR and, PI3K-Akt signaling pathways. CONCLUSION: These findings imply that miR-2861 and miR-5011-5p might function as tumor suppressors in the development of CRC.

MicroRNAs↗

PubMed2026

MicroRNA-driven regulatory networks in aphid ecological adaptation: integrating stress tolerance, dispersal plasticity, and population expansion.

Aphids (Hemiptera: Aphididae) are important agricultural pests and exhibit strong ecological adaptability, allowing them to persist under stress, disperse to new habitats, and rapidly increase population size. Recent advances in functional genomics have identified microRNAs (miRNAs) as key post-transcriptional regulators involved in these processes, yet their roles have remained fragmented across studies. Here, we synthesize current evidence into a "three-stage framework", encompassing population maintenance under stress, dispersal to new habitats, and population expansion upon establishment. We highlight how miRNAs regulate detoxification pathways (e.g., P450s, UGTs, ABC transporters), mediate interactions with host plants and symbionts, and integrate hormonal signaling networks including insulin, juvenile hormone, and ecdysteroid pathways. This framework identifies candidate miRNAs, target genes, and signaling pathways that may recur across different ecological contexts, including stress responses, dispersal-related plasticity, and reproductive regulation. However, direct evidence demonstrating that candidate shared miRNA regulators coordinate multiple life-history stages remains limited and requires further experimental validation. We critically evaluate the strength of functional evidence, distinguishing experimentally validated miRNA-target interactions from prediction- or expression-based associations. Finally, we discuss emerging applications of miRNA-based pest control, including artificial miRNAs, RNAi technologies, and nanocarrier delivery systems. By linking molecular mechanisms with ecological outcomes, this review provides a synthesis and highlights miRNAs as important regulators of aphid adaptation and candidate targets for sustainable management strategies.

Aphids↗

PubMed2025

Abnormal levels of miRNA in pancreatic cancer are linked to tumor progression by regulating the translation of tumor-associated mRNA.

BACKGROUND: Pancreatic cancer remains one of the most malignant tumors, characterized by limited treatment efficacy. MAIN FINDINGS: microRNAs (miRNAs) play a crucial role in regulating the proliferation, invasion, migration, drug resistance, apoptosis, and cell cycle progression of pancreatic cancer cells by inhibiting tumor-associated proteins. Metscape analysis revealed that miRNA-targeted proteins associated with pancreatic cancer are enriched in processes such as cell proliferation, mitosis, and cell migration, and participate in multiple signaling pathways. These proteins primarily localize to classical pathways, including JAK/STAT, PI3K/AKT, and Wnt/β-catenin. Furthermore, gene mutations or abnormal alternative poly(A)denylation (APA) within miRNA-targeted regions can disrupt base pairing to the 3'-Untranslated Region (3'-UTR), thereby enhancing the translation of oncogenic mRNA translation. FUTURE DIRECTIONS: Collectively, these findings indicate that multiple miRNAs act cooperatively to influence pancreatic cancer progression. Consequently, therapeutic strategies aimed at restoring the balance of the miRNA system are essential to disrupt the 'mRNA-oncogene' vicious cycle.

Humans↗

PubMed2024

Suppression of CNS APOE4 Expression by miRNAs Delivered by the S2 AAVrh.10 Capsid-Modified AAV Vector.

The homozygous Apolipoprotein E (APOE4) genotype is the major risk factor for the development of early Alzheimer's disease. Genome engineering studies in mouse models of human APOE4-dependent pathology have established that reduction of APOE4 expression can rescue the phenotype. We hypothesized that APOE4 could be suppressed in the CNS of APOE4 homozygotes using adeno-associated virus (AAV) expression of microRNAs (miRNA) designed to hybridize to APOE mRNA. We screened nine different miRNAs targeting APOE following transfection in HEK293T and Huh7 cells. Optimal APOE suppression was obtained with mir2A (targeting coding region nt330-351) and mirN4 (3' untranslated region nt1142-1162). miRNA expression cassettes were designed with two copies of each of these two miRNAs co-expressed with a mCherry transgene. To optimize delivery of these miRNAs, an engineered AAVrh.10 variant was identified from a screen of multiple peptide insertions into capsid loop IV and substitutions in loop VIII. This led to identifying the AAV.S2 capsid with enhanced transduction of both neurons and glia and enhanced distribution in the brain. The engineered capsid was used to deliver the APOE miRNA suppression cassette to the hippocampus of TRE4 mice (human APOE4 knock-in replacement of the murine apoE locus). Two weeks after intra-hippocampus administration, regional expression of miRNA at the injection site was quantified at the mRNA level relative to an endogenous reference. The AAV.S2 capsid provided 2.31 ± 0.37-fold higher expression of miRNA over that provided by AAVrh.10 (p < 0.05). In the targeted region, a single intra-hippocampus AAV.S2 administration suppressed hippocampal APOE4 mRNA levels by 76.5 ± 3.9% compared with 41.3 ± 3.3% with the same cassette delivered by the wildtype AAVrh.10 capsid (p < 0.0001). We conclude that an expression cassette with two different miRNAs targeting APOE4 delivered by the AAV.S2 capsid will generate highly significant suppression of APOE4 in the CNS.

Dependovirus↗

PubMed2024

RNA-seq reveals differentially expressed lncRNAs and circRNAs and their associated functional network in HTR-8/Svneo cells under hypoxic conditions.

Placental hypoxia is hazardous to maternal health as well as fetal growth and development. Preeclampsia and intrauterine growth restriction are common pregnancy problems, and one of the causes is placental hypoxia. Placental hypoxia is linked to a number of pregnancy illnessesv. To investigate their potential function in anoxic circumstances, we mimicked the anoxic environment of HTR-8/Svneo cells and performed lncRNA and circRNA studies on anoxic HTR-8/Svneo cells using high-throughput RNA sequencing. The miRNA target genes were predicted by integrating the aberrant expression of miRNAs in the placenta of preeclampsia and intrauterine growth restriction, and a ceRNA network map was developed to conduct a complete transcriptomic and bioinformatics investigation of circRNAs and lncRNAs. The signaling pathways in which the genes were primarily engaged were predicted using GO and KEGG analyses. To propose a novel explanation for trophoblastic organism failure caused by lncRNAs and circRNAs in an anoxic environment.

Humans↗

PubMed2026

Semaglutide treatment in MOSH is associated with altered DNA methylation patterns of genes related to glycolipid metabolism.

Male obesity-associated secondary hypogonadism(MOSH) is a common disease among severely obese male patients. Although surgical interventions have demonstrated clinical benefits, a subset of patients continue to experience MOSH following surgery. Therefore, this study aims to investigate epigenetic changes associated with the use of the weight-loss drug Semaglutide in MOSH, focusing on DNA methylation and miRNA expression. In this exploratory study, samples were classified into three groups: a control group (n = 2), a MOSH group (n = 7), and a follow-up group (n = 4). DNA methylation analysis was performed on all samples, while miRNA sequencing was conducted on a subset of the samples: 2 from the control group, 7 from the MOSH group, and 2 from the follow-up group. Differentially expressed miRNAs (DEMs) were analyzed through the R package "limma", and the methylation level of CpG sites was analyzed based on the methylation β value, obtaining differentially methylated genes (DMGs). The functional enrichment analysis of miRNA target genes and methylation change genes was conducted using the R package "clusterProfiler". Finally, the regulatory networks of miRNA and methylation genes as well as the protein-protein interaction (PPI) network were analyzed. A total of 6 DEMs were screened out. The target genes of these DEMs were mainly enriched in pathways such as ATP binding, phosphorylation, cell adhesion, and Glycosphingolipid biosynthesis. Eighty DMGs were identified, and the largest number of DMGs were found in the X chromosome. In the regulatory network of DMGs and DEMs, hsa-miR-423-5p regulates most of these DMGs. Moreover, the PPI network shows that DPP6, DPP10, CACNA1C, and CNTNAP2 are the proteins with the strongest connectivity. Notably, differential CpG methylation changes were observed on chromosome 7, indicating a potential region of epigenetic alteration in MOSH; however, the biological and functional relevance of these changes remains unclear. Collectively, these findings suggest that Semaglutide treatment in MOSH may be associated with concurrent alterations in DNA methylation and miRNA expression, implicating genes related to energy and glycolipid metabolism, including DPP6, DPP10, CACNA1C, and CNTNAP2. These results are exploratory and hypothesis-generating, providing preliminary observations to inform future validation studies.

Semaglutide↗

PubMed2026

miR-6388 regulates granulosa cell function in sheep by targeting GDF9 and modulating the TGF-β signaling pathway.

Litter size is an economically important trait in sheep and is closely associated with ovarian follicular development and granulosa cell (GC) function. This study investigated the association between GDF9 polymorphisms and litter size, and examined the post-transcriptional regulation of GDF9 by miR-6388 in ovine GCs. Variants were initially identified by Sanger sequencing in 20 ewes, and subsequently genotyped in 377 three-year-old ewes, including 231 Sonid (SN) sheep and 146 Ujimqin (UM) sheep for association analysis. Candidate miRNAs targeting litter size-associated variants in the GDF9 3'UTR were predicted, and the miR-6388-GDF9 interaction was evaluated using dual-luciferase reporter assays. RT-qPCR, Western blotting, EdU incorporation, and flow cytometry were used to assess endogenous GDF9 expression and GC function. Twelve single-nucleotide polymorphisms were identified, including the putatively novel variant g.42114076C > G. The linkage disequilibrium block comprising g.42116936C > T, g.42113821T > A, and g.42113962G > A polymorphisms of GDF9 was significantly associated with litter size in both SN and UM sheep, whereas the c.477G > A was associated with litter size only in UM sheep. Reporter assays showed that the GDF9 3'UTR region carrying the G allele of g.42113962G > A was more responsive to miR-6388-mediated repression than the region carrying the A allele. miR-6388 overexpression reduced GDF9 mRNA and GDF9 protein levels, inhibited GC proliferation, altered cell-cycle distribution, and promoted apoptosis, whereas miR-6388 knockdown increased GDF9 expression and GC proliferation and reduced apoptosis. These cellular changes were accompanied by altered expression of cell-cycle and apoptosis-related genes and TGF-β signaling-related components.

Animals↗

PubMed2025

De novo transcriptome assembly and gene expression analysis of Cnidium officinale under high-temperature conditions.

BACKGROUND: The medicinal plant Cnidium officinale (CO) is widespread in Northeast Asia and vulnerable to heat stress. The naturally occurring composition of pharmacological ingredients of CO results in overall physiological consequences; therefore, it is crucial to have a comprehensive understanding of metabolic response to ambient heat in terms of acclimation to estimate how much CO is exposed to threatening environmental conditions. RESULTS: Transcriptome analysis is critical for understanding the consequences of long-term physiological adaptation of CO to abiotic stress. However, transcriptome analysis on this species, particularly under prolonged stress conditions, has remained limited. We employed a temperature gradient tunnel (TGT) to subject CO to high-temperature exposure for four months, enabling us to observe the cumulative effects of heat and assess its acclimation mechanisms. In the absence of genome sequencing data, we performed de novo transcriptome assembly and compared DEGs from temperature treatment plots of a TGT and a growth chamber (GC). Since interpreting transcriptomic data can be complex, we employed a sequential analytical approach, including DEG clustering, GO enrichment, KEGG pathway mapping, miRNA-target gene analysis, and multiple rounds of RNA sequencing validation. DEGs were classified into two categories: genes exhibiting significant fold changes and genes showing significant count changes rather than fold changes. Then, we analyzed the functional roles of DEGs to determine which pathways respond to ambient and stressful high temperatures and validated the findings through cross-comparison with GC. Additionally, we conducted miRNA analysis to investigate post-transcriptional regulation under high temperatures. CO grown under higher ambient temperatures exhibited slight upregulation of pathways related to protein stability and turnover, ABA biosynthesis, and energy production, such as photosynthesis and oxidative phosphorylation. However, under extreme heat stress, most metabolic pathways were downregulated except for those involved in transcription, translation, oxidative phosphorylation and the biosynthesis of cutin, suberin, and wax. CONCLUSION: This study demonstrated that proper clustering of genes based on expression levels and fold changes in two different experimental conditions, along with pathway mapping, may provide a comprehensive understanding of CO's response to heat stress. These insights could contribute to future research on heat tolerance and crop improvement.

Gene Expression Profiling↗

PubMed2026

Genome-Wide Identification and Characterization of Thaumatin-Like Proteins in Potato (Solanum tuberosum L.) and Their Role in Stress Tolerance.

Thaumatin-like proteins (TLPs), part of the Pathogenesis-related protein 5 (PR5) family, play key roles in plant defense against biotic and abiotic stresses. In Solanum tuberosum, a crucial global food crop, the functional diversity of TLPs under stress conditions remains poorly understood, hindering efforts to improve stress tolerance. This study aimed to address this gap by performing a genome-wide identification and characterization of the TLP gene family in potato. We identified 34 TLPs (StTLP1 to StTLP34), distributed across 11 chromosomes. Detailed analyses were conducted on their physicochemical properties, gene structures, conserved motifs, and expression patterns. Promoter analysis revealed multiple stress-responsive cis-elements. Differential expression analysis showed that several StTLPs are significantly regulated in response to salinity, heat, and pathogen infection. Protein-protein interaction and miRNA targeting analyses further highlighted the regulatory networks involving StTLPs in stress adaptation. This study advances the theoretical understanding of the roles of StTLPs in stress response. It provides a valuable genetic resource for future efforts to enhance stress resilience in potato, with potential applications in crop improvement strategies. The 0 l expression of three TLP genes under salt and mannitol stress was verified through real-time PCR analysis after the interval of 15 days. Alterations in the expression patterns of StTLPs offered deeper insight into the involvement of this gene family in diverse abiotic stress responses. All three StTLPs were upregulated under both treatments at 400 mM, relative to their expression at 200 mM. The highest level of upregulation was observed in StTLP20, indicating its prominent role in both stress treatments.

Solanum tuberosum↗

PubMed2025

The MIR169:NF-YA module enhances biomass and yield via ARGOS in Arabidopsis and tomato.

Molecular links between miRNA: target modules regulating downstream genes for crop maturation/yield are poorly understood. Here, we report that elevated miR169d expression and concomitant reduced NF-YA2 (Nuclear Factor-Y subunit-A) target levels positively regulate vegetative growth and yield in Arabidopsis along with a shorter life cycle. In agreement, increased NF-YA2 levels in (1) NF-YA2-OE (overexpression) lines, (2) miR169d-target-mimicry lines (in which miR169d is chelated), and (3) miR169d-non-cleavable NF-YA2 resistant target lines show the opposite phenotype. Further, we find increased auxin levels in MIR169d-OE and nf-ya2 mutant lines, supporting the enrichment of 'auxin terms' in MIR169-OE transcriptome data. We show that ARGOS (auxin-regulated gene involved in organ size) is upregulated in MIR169d-OE due to reduced NF-YA2 repressor levels and that NF-YA2 directly binds the ARGOS promoter. Genetic screens of this module show that neither overexpressing miR169d in an argos mutant background nor the nf-ya2:argos double mutants rescue the argos mutant phenotype, suggesting a parallel pathway of ARGOS regulation via the MIR169:NF-YA2 node, independent of auxin. To assess the translational potential of this module in a crop, we show that Sly-MIR169-OE lines in tomato, having reduced target Sly-NF-YA10 levels, also regulate Sly-ARGOS resulting in early flowering, larger sized fruits, more fruit fresh weight, higher fruit set, early fruiting, and better shelf life than wild-type plants. In contrast, Sly-STTM169 plants inhibited for Sly-miR169 action and having increased levels of Sly-NF-YA10 have a longer life cycle with reduced biomass, decreased fruit set, and an overall reduction in yield. Thus, our findings show a conserved MIR169:NF-YA:ARGOS module which can be applied to crops for addressing future food demands.

MicroRNAs↗

PubMed2026

Genome-wide identification and expression analysis of the UGT gene family in honeysuckle.

BACKGROUND: The UGT gene family plays critical roles in regulating plant growth, development, stress responses, and secondary metabolite synthesis. Although UGT proteins have been studied in numerous plant species, research on the UGT family in honeysuckle (Lonicera japonica Thunb.) remains limited. RESULTS: In this study, a comprehensive genome-wide analysis of the UGT gene family was performed in honeysuckle. A total of 224 unique LjUGT genes were identified and classified into 21 distinct subfamilies (T71-T92 without T77) based on the phylogenetic analysis. These genes were unevenly distributed on the 9 chromosomes. Eighteen segmental duplication events and 61 tandem duplications were identified, of which only 3 were positive selection. Integrated analysis of promoter cis-acting elements, transcription factors, targeted miRNAs, and interacting proteins suggested that the expression and function of the LjUGT genes may be regulated by transcription factors and proteins through binding to the various binding sites and cis-acting elements, thereby putatively participating in diverse biological processes, including hormone signaling, stress response, and metabolism. The expression pattern analysis of LjUGTs in different tissues and under stress conditions indicated that Lj2A1135G32, Lj5A236T61, Lj6A350T83, and Lj7A737T47 emerged as candidate genes potentially associated with development, 46 genes showed expression changes under all 6 abiotic stresses, suggesting broad stress responsiveness. Additionally, there 7 genes were identified as candidate hub genes that may correlate with the low temperature stress tolerance in honeysuckle according to the WGCNA results, and further verification by qRT-PCR confirmed that Lj4A99G61 and Lj9A591T82 can be regarded as key candidate genes for in-depth research. CONCLUSIONS: This study systematically identified 224 LjUGT genes in honeysuckle for the first time and characterized their physicochemical properties, phylogenetic relationship, and expression patterns. These findings provide a foundational resource for hypothesis-driven investigations into the functions and action mechanisms of LjUGTs.

Lonicera↗

PubMed2026

Novel serum small extracellular vesicle miRNAs with multi-target RCA-CRISPR sensor for liver cancer detection.

BACKGROUND: Detecting liver cancer (LC) remains a significant challenge in clinical practice. Small extracellular vesicle (sEV) miRNAs show promise as non-invasive biomarkers for LC detection, yet their diagnostic potential remains largely unexplored. This study aimed to identify specific sEV miRNA signatures for LC detection and develop a novel synchronized multi-miRNA detection platform to enhance diagnostic efficiency and sensitivity. METHODS: High-throughput sequencing was conducted across four distinct cohorts: normal controls (NC), hepatitis B virus (HBV) patients, liver cirrhosis patients, and LC patients. This sequencing process identified miRNAs with differential expression, followed by RT-qPCR validation in serum sEV miRNAs from LC patients and NC. An innovative detection method, RCA-CRISPR, was introduced, combining rolling circle amplification (RCA) with CRISPR/Cas12a (RCA-CRISPR) for quick and sensitive miRNAs detection. RESULTS: Sequencing results showed a consistent elevation of hsa-miR-203b-5p, hsa-miR-4661-5p, and hsa-miR-219a-2-3p across all cohorts. RT-qPCR validations confirmed significant upregulation of these miRNAs in serum sEVs from LC patients, and the combined three-miRNA panel exhibited high diagnostic accuracy (p = 0.0003; AUC = 0.81). The RCA-CRISPR method demonstrated a detection limit of 3.12 pM for simultaneous multi-target miRNA detection, highlighting its exceptional sensitivity. CONCLUSIONS: Our study identifies hsa-miR-203b-5p, hsa-miR-4661-5p, and hsa-miR-219a-2-3p as promising sEV miRNA biomarkers for LC detection. The developed RCA-CRISPR sensor provides a robust tool for multi-miRNA analysis, potentially advancing non-invasive LC diagnostics. Future validation in larger, prospectively collected cohorts is essential to establish the clinical utility and performance of this biomarker panel and RCA-CRISPR sensor.

MicroRNAs↗

PubMed2025

KSHVbook: An Information-Sharing Database for Kaposi's Sarcoma-Associated Herpesvirus.

Kaposi's sarcoma-associated herpesvirus (KSHV) is a double-stranded DNA virus belonging to the γ-herpesvirus subfamily. KSHV is the causative agent of Kaposi's sarcoma (KS), primary effusion lymphoma (PEL), multicentric Castleman's disease (MCD), and KSHV inflammatory cytokine syndrome (KICS). Since its discovery, research on KSHV has rapidly progressed, but existing information platforms relatively lack comprehensiveness and do not provide efficient analysis tools tailored for KSHV. To further promote the research on KSHV more effectively, we have developed KSHVbook (http://www.kshvbook.com), a specialized information-sharing database dedicated to KSHV. This platform offers extensive information on genes, coding sequences, proteins, and the gene regulatory region. Besides, the KSHVbook includes about 35 010 transcription factor binding sites (TFBSs), 342 010 pairs of KSHV miRNA-host target gene relationships, protein structures predicted by AlphaFold3, qPCR primers, and so on. We also develop analytical tools for viral genome regions, TFBSs, and KSHV miRNA target genes to discover previously unknown biological functions of KSHV. These analytical tools can effectively identify the potential regulatory relationships between host transcription factors and viral genes. Overall, this platform provides a centralized data resource for KSHV research by integrating multiple databases, offering accessible analysis tools, and simplifying data acquisition. The KSHVbook will continue to be updated, and more features can be found on the website.

Herpesvirus 8, Human↗

PubMed2026

Interaction analysis of miRNA and mRNA reveals the regulatory mechanism of immune response in golden pompano (Trachinotus ovatus) spleen to Streptococcus iniae infection.

Streptococcus iniae is a major warm-water pathogen that cause high mortality and severe economic losses in golden pompano industry. In the present study, we performed the mRNA-miRNA integrated transcriptomic analysis of spleen of golden pompano challenged with S. iniae to explore the possible regulatory mechanism to bacterial infection. In total, we excavated 5072 DEGs, of which 2765 up-regulated and 2307 down-regulated genes. KEGG enrichment analysis indicated that the DEGs were primarily enriched in immune-related pathways, such as proteasome, cytokine-cytokine receptor interaction, p53 signaling pathway, lysosome, phagosome, Herpes simplex virus 1 infection. Additionally, a protein-protein interaction (PPI) network was constructed to extract hub genes. And the result showed that 4 hub genes, comprising cd4, il10, tnfsf2, myd88, may play vital roles in response to S. iniae infection. Furthermore, a total of 46 differentially expressed miRNAs (DEMs) were identified, containing 23 known and 23 novel DEMs. By integrating mRNA and miRNA joint analysis, we established a miRNA-mRNA regulatory network, including 12 miRNAs and 14 genes. Among them, novel-miR-357 were identified as a multi-target hub miRNA. These results provide important insights into the molecular regulatory mechanisms of immune response and inflammation processes in the defense of golden pompano against S. iniae infection.

Integrative interaction↗

PubMed2025

Investigating the miRNA-mRNA interactome of human trabecular meshwork cells treated with TGF-β1 provides insights into the pathogenesis of pseudoexfoliation glaucoma.

Pseudoexfoliation glaucoma is a severe form of secondary open angle glaucoma and is associated with activation of the TGF-β pathway by TGF-β1. MicroRNAs (miRNAs) are small non-coding RNA species that are involved in regulation of mRNA expression and translation. To investigate what glaucomatous changes occur in the trabecular meshwork and how these changes may be regulated by miRNAs, we performed a bioinformatics analysis resulting in a miRNA-mRNA interactome. Primary human trabecular meshwork cells originating from normal donors were treated with TGF-β1 at 5 ng/mL for 24h; total RNA was extracted followed by RNA-Seq and miRNA-Seq. For both mRNA and miRNA species, differential expression was determined using a bioinformatics pipeline consisting of FastQC, STAR, FeatureCounts, edgeR (for miRNA) and DESeq2 (for mRNA). Putative mRNA-miRNA interactions between differentially expressed mRNA and miRNA species were determined using interaction databases miRWalk, miRTarBase, TarBase and TargetScan. To classify mRNA species by function and pathway, gene enrichment was performed using Enrichr. The resulting miRNA-mRNA interactome consisted of 1202 interactions. Some highly connected microRNAs were hsa-let-7e-5p, hsa-miR-20a-5p, hsa-miR-122-5p, and hsa-miR-29c-3p. Most differentially expressed genes were indicated to be regulated by miRNAs. The sub-interactomes of genes involved in specific pseudoexfoliation glaucoma related enrichment terms such as oxidative stress, unfolded protein response, signal molecules and ECM remodelling were determined. This is the first study to present a genome-wide microRNA-mRNA regulatory network for human trabecular meshwork cells treated with TGF-β1 and may serve to generate unbiased hypotheses about regulatory functions and mRNA targets of miRNAs in pseudoexfoliation glaucoma and may help to develop miRNA-based therapeutics.

Humans↗

PubMed2025

Global Profiling and Analysis of 5' Monophosphorylated mRNA Decay Intermediates.

During RNA turnover, the action of endo- and exo-ribonucleases can yield RNA decay intermediates with specific 5' ends. These RNA decay intermediates have been demonstrated to be the outcome of decapping, microRNA-directed endo-cleavage, or the protected fragments of ribosomes and exon-junction complexes. Therefore, global analysis of RNA decay intermediates can facilitate studies of many RNA decay pathways. In this chapter, we describe a high-throughput sequencing protocol named parallel analysis of RNA ends (PARE), which allows genome-wide profiling of 5' monophosphorylated mRNA decay intermediates from plants or other eukaryotes. Also, we present the tools and scripts necessary for the proper analysis of RNA degradome data obtained from the PARE method. Details and modifications of library construction procedures and bioinformatic analyses to optimize sequencing quality and cope with emerging sequencing platforms and findings are highlighted.

RNA Stability↗

PubMed2026

PCBP2 facilitates miR-93-5p-mediated repression of GDF11 in HCC cell lines.

Growth differentiation factor 11 (GDF11), a member of the transforming growth factor-β superfamily, functions in skeletal muscle and neuronal regeneration and has been implicated in tumor suppression. In hepatocellular carcinoma (HCC), GDF11 expression is markedly downregulated, but the mechanisms responsible for this repression remain unclear. In this study, we examined whether the oncogenic miR-106b-25 cluster contributes to GDF11 suppression in HCC. We found that this cluster decreases GDF11 expression at both the mRNA and protein levels, with miR-93-5p acting as the dominant regulator. Inhibition of miR-93-5p with antisense oligonucleotides restored GDF11 expression and reduced HCC cell proliferation, migration, and invasion. Mechanistically, we identified the RNA-binding protein (RBP) PCBP2 as a key facilitator of miR-93-5p targeting of GDF11. PCBP2 binds a C-rich element adjacent to the miR-93-5p target site in the GDF11 3' UTR, thereby enhancing miR-93-5p-mediated repression. PCBP2 knockout attenuated miR-93-5p-mediated repression, whereas re-expression of PCBP2 restored it, supporting its modulatory role. Collectively, these findings identify PCBP2 as a modulator of miR-93-5p-mediated GDF11 repression and suggest that this regulatory interaction contributes to HCC cell proliferation, migration, and invasion. This work provides insights into the post-transcriptional control of the tumor suppressor and highlights the therapeutic potential of targeting miRNA-RBP interactions.

GDF11↗