miRNA Target Research Articles

Revealing the Molecular Signatures of miR-185-5p on Breast Cancer Cells Using Proteomic Analysis.

Breast cancer is a heterogeneous type of disease in which genetic and environmental factors play a crucial role. There are several types of treatment for breast cancer (BC) patients. However, the biggest problem in the treatment of breast cancer is the resistance that occurs during the treatment with chemotherapeutic agents. Usnic acid, a secondary metabolite of lichen, has been identified as a drug candidate molecule in cancer treatment. The determination of miRNA target proteins is essential for the understanding of molecular mechanisms of miRNA-related tumorigenesis. We determined that mir-185-5p has therapeutic potential at the miRNA level by applying usnic acid to BT-474 breast cancer cells in a previous study. Herein, we aimed to investigate the molecular mechanisms of miR-185-5p on BT-474 breast cancer cells using a proteomics approach. We explored the changes in the protein expression level of BT-474 breast cancer cells in response to the up-regulation of miR-185-5p after applying usnic acid as a novel candidate anti-- cancer drug molecule. We performed quantitative proteome analysis based on an LC-MS/MS assay, which was validated by western blotting. The differentially expressed proteins were analyzed using the latest data available in bioinformatics tools. The up-regulated expression of YWHAE, Cathepsin D, and the down-regulated levels of PAK-1 were demonstrated by western blot assay. According to the results, 86 proteins showing >2-fold change were identified as differentially expressed between breast cancer and normal breast epithelial cells. The apoptosis pathway was the main clade containing most of the proteins regulated by miR-185-5p. The results indicate that miR-185-5p modulates apoptosis signaling pathways in BT-474 breast cancer cells. Breast cancer inhibition due to increased expression of YWHAE, Cathepsin D, and decreased expression of PAK-1 is likely to be mediated by inducing miR-185-5p mediated apoptosis. In this study, the identification of miR-185-5p protein targets demonstrated the potential for the development of targeted therapy and the development of miRNA-based therapeutics and presented it as a biomarker for breast cancer diagnosis, prognosis, and treatment response. In this regard, proteome analyses provided an understanding of the molecular mechanism underlying the effect of miR-185-5p on breast cancer.

Evaluation of the diagnostic utility of immune microenvironment-related biomarkers in endometriosis using multidimensional transcriptomic data.

Endometriosis (EMS) is a relatively common gynecological disorder and almost fifty percent of women with EMS suffer from infertility. There are few treatment options for endometriosis, and often recurrences occur following surgery and medication. We aimed to identify potential diagnostic biomarkers for EMS to improve its diagnostic efficiency. Differential analysis was utilized to choose EMS-associated abnormal miRNAs (DEMIs) and mRNAs (DEMs). ImmuneAI analysis was to evaluate the levels of immune cells in EMS. Next, the weighted gene co-expression network analysis (WGCNA) was utilized to identify the co-expression modules. Random forest and SVM analyses were used to filter the candidate biomarkers and construct the diagnostic model. qRT-PCR was used to test the expression level of the biomarkers. Based on the different analyses, we obtained 32 DEMIs and 516 DEMs and selected 9 abnormal immune cells whose abundance is abnormal in EMS. Next, we identified five co-expression modules associated with these abnormal immune cells. Then, 176 candidate genes which are both miRNA targets and associated with immune cells and aberrantly expressed in EMS were filtered. Subsequently, random forest analysis selected 11 genes as the diagnostic biomarkers and constructed a diagnostic model by SVM. Finally, we demonstrated that 8 of the 11 genes aberrantly expressed and with better diagnostic efficiency in EMS. In total, we identified 11 crucial genes regulated by 8 miRNAs that could serve as promising diagnostic biomarkers for EMS, potentially enhancing disease diagnosis with novel factors.

From Biosensors to Robotics: Pioneering Advances in Breast Cancer Management.

Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than one-third of all cancer cases affecting women. It causes aberrant cell development, which can assault or spread to other sections of the body, perhaps leading to the patient's death. Based on research findings, timely detection can diminish the likelihood of mortality and enhance the quality of healthcare provided for the illness. However, current technologies can only identify cancer at an advanced stage. Consequently, there is a substantial demand for rapid and productive approaches to detecting breast cancer. Researchers are actively pursuing precise and timely methods for the diagnosis of breast cancer, aiming to achieve enhanced accuracy and early detection. Biosensor technology can allow for the speedy and accurate diagnosis of cancer-related cells, as well as a more sensitive and specialized technique for generating them. Additionally, numerous treatments for breast cancer are depicted such as herbal therapy, nanomaterial-based drug delivery, miRNA targeting, CRISPR technology, immunotherapy, and precision medicine. Early detection and efficient therapy are necessary to manage such a severe illness properly.

A Photoelectrochemical Biosensor Mediated by CRISPR/Cas13a for Direct and Specific Detection of MiRNA-21.

Direct detection of miRNA is currently limited by the complex amplification and reverse transcription processes of existing methods, leading to low sensitivity and high operational demands. Herein, we developed a CRISPR/Cas13a-mediated photoelectrochemical (PEC) biosensing platform for direct and sensitive detection of miRNA-21. The direct and specific recognition of target miRNA-21 by crRNA-21 eliminates the need for pre-amplification and reverse transcription of miRNA-21, thereby preventing signal distortion and enhancing the sensitivity and precision of target detection. When crRNA-21 binds to miRNA-21, it activates the trans-cleavage activity of CRISPR/Cas13a, leading to the non-specific cleavage of biotin-modified DNA with uracil bases (biotin-rU-DNA). This cleavage prevents the biotin-rU-DNA from being immobilized on the electrode surface. As a result, streptavidin cannot attach to the electrode via specific biotin binding, reducing spatial resistance and causing a positively correlated increase in the photocurrent response. This Cas-PEC biosensor has good analytical capabilities, linear responses between 10 fM and 10 nM, a minimum detection limit of 9 fM, and an excellent recovery rate in the analysis of real human serum samples. This work presented an innovative solution for detecting other biomarkers in bioanalysis and clinical diagnostics.

MiRNAs in Extracellular Vesicles as Biomarkers in Plasma of Papillary Thyroid Cancer Patients: A Proof-of-Concept Study.

The incidence of various types of cancer, for example, papillary thyroid carcinoma (PTC), is on the rise. Since therapeutic success depends greatly on early diagnosis, reliable diagnostic biomarkers must be identified, and easy-to-apply tools for detecting them must urgently be standardized. Here, we contribute to solving this medical challenge by assessing miRNAs suspected of promoting carcinogenesis in extracellular vesicles (EVs) that can be routinely obtained via liquid biopsy. We profit from current progress in cancerology that provides innovations in liquid biopsy and EVs analysis, along with the identification of miRNAs and chaperone system (CS) components implicated in carcinogenesis. We measured in EVs obtained from circulating blood plasma from PTC patients the levels of three miRNAs implicated in thyroid cancer, hsa-miR-1-3p, hsa-miR-206, and hsa-miR-221-3p, and most likely involved in the regulation of two members of the CS, Hsp60 and CCT. EVs were isolated from the plasma of patients with PTC and controls with benign goiter (BG) and from the culture medium of a PTC cell line (MDAT32) and were appropriately characterized. The levels of miRNAs determined by RT-qPCR were consistently higher in PTC patients and decreased down to control levels after thyroidectomy. Bioinformatics showed that the miRNAs target genes are associated with the molecular pathogenesis of PTC. Our exploratory study reaffirms the potential in clinics of the selected miRNAs in EVs as useful biomarkers of PTC easily accessible via liquid biopsy, which is minimally invasive and amenable to periodic repetition, an improvement compared to the established fine-needle aspirate biopsy.

MicroRNA Temporal-Specific Expression Profiles Reveal longissimus dorsi Muscle Development in Tianzhu White Yak.

As a class of regulatory factors, microRNAs (miRNAs) play an important role in regulating normal muscle development and fat deposition. Muscle and adipose tissues, as major components of the animal organism, are also economically important traits in livestock production. However, the effect of miRNA expression profiles on the development of muscle and adipose tissues in yak is currently unknown. In this study, we performed RNA sequencing (RNA-Seq) on Tianzhu white yak longissimus dorsi muscle tissue obtained from calves (6 months of age, M6, n = 6) and young (30 months of age, M30, n = 6) and adult yak (54 months of age, M54, n = 6) to identify which miRNAs are differentially expressed and to investigate their temporal expression profiles, establishing a regulatory network of miRNAs associated with the development of muscle and adipose. The results showed that 1191 miRNAs and 22061 mRNAs were screened across the three stages, of which the numbers of differentially expressed miRNAs (DE miRNAs) and differentially expressed mRNAs (DE mRNAs) were 225 and 450, respectively. The expression levels of the nine DE miRNAs were confirmed using a reverse transcription quantitative PCR (RT-qPCR) assay, and the trend of the assay results was generally consistent with the trend of the transcriptome profiles. Based on the expression trend, DE miRNAs were categorized into eight different expression patterns. Regarding the expression of DE miRNAs in sub-trends Profile 1 and Profile 2 (p < 0.05), the gene expression patterns were upregulated (87 DE miRNAs). Gene ontology (GO) and Kyoto Encyclopedia of Genes Genomes (KEGG) analyses showed that the identified DE miRNAs and DE mRNAs were enriched in pathway entries associated with muscle and intramuscular fat (IMF) growth and development. On this basis, we constructed a DE miRNA-mRNA interaction network. We found that some DE mRNAs of interest overlapped with miRNA target genes, such as ACSL3, FOXO3, FBXO30, FGFBP4, TSKU, MYH10 (muscle development), ACOX1, FADS2, EIF4E2, SCD1, EL0VL5, and ACACB (intramuscular fat deposition). These results provide a valuable resource for further studies on the molecular mechanisms of muscle tissue development in yak and also lay a foundation for investigating the interactions between genes and miRNAs.

MiR-98 and miR-629 can be used as a potential biomarker on relapsing-remitting multiple sclerosis patients

IntroductionMultiple Sclerosis (MS) is an autoimmune disease that affects the central nervous system (CNS), characterized by chronic inflammation, demyelination, and neurodegeneration. In recent years, among non-coding RNAs miRNA have emerged as key regulators of different biological processes and it has been suggested that they play an important role in the mechanisms underlying MS pathogenesis. Through in silico methods, miR-629-5p and miR-98-5p were identified as significant factors in MS pathology. The aim of this study was to examine the levels of expression of miR-629-5p and miR-98-5p in blood samples obtained from patients with relapsing–remitting MS. Methods: Total blood were recruited from RRMS and control group and qPCR analysis was used for evaluating of target miRNAs expression. The mirDIP database was utilized to identify the target genes. Hub genes were identified with the Cytoscape and target pathways were identified using the STRING. Results: Expression analysis revealed a significant upregulation of miR-629-5p and miR-98-5p (FC ≥ 1.5 and p < 0.05) in patients with RRMS. PI3K-Akt, Rap1, MAPK and FoxO signaling pathways were found as target. Discussion: The discovery of these miRNAs suggests that they may have a notable impact on MS patients by intervening on pathways involved in both the immune and nervous systems.

Target-promoted activation of DNAzyme walker for in situ assembly of hemin/G-quadruplex nanowires enable ultrasensitive and label-free electrochemical myocardial microRNA assay

The concentration elevation of myocardial microRNA (miRNA) biomarker is associated with the pathogenic process of acute myocardial infarction (AMI), and sensitive quantification of myocardial miRNA biomarker plays an important role for early AMI diagnosis and its treatment. In response, this work describes an ultrasensitive and non-label electrochemical biosensor for the assay of myocardial miRNA based on cascade signal amplifications integrated by DNAzyme walker and hemin/G-quadruplex nanowires. The DNAzyme walker is activated by presence of target miRNAs to move along the electrode surface to cyclically cleave the substrate hairpins to release G-quadruplex segments, which further trigger the in situ formation of many hemin/G-quadruplex nanowires. The large amounts of hemin intercalated into the DNA nanowires subsequently generate drastically magnified electrochemical current signals for highly sensitive label-free assay of myocardial miRNAs down to 15.7 fM within dynamic range of 100 fM to 10 nM. Such a biosensor also has high selectivity and can monitor myocardial miRNAs in diluted serums at low levels, providing a sensitive and reliable platform for diagnosing infarct-associated cardiovascular diseases.

Circular RNA expression in turkey skeletal muscle satellite cells is significantly altered by thermal challenge.

Understanding the genetic mechanisms behind muscle growth and development is crucial for improving the efficiency of animal protein production. Recent poultry studies have identified genes related to muscle development and explored how environmental stressors, such as temperature extremes, affect protein production and meat quality. Non-coding RNAs, including circular RNAs (circRNAs), play crucial roles in modulating gene expression and regulating the translation of mRNAs into proteins. This study examined circRNA expression in turkey skeletal muscle stem cells under thermal stress. The objectives were to identify and quantify circRNAs, assess circRNA abundance following RNAse R depletion, identify differentially expressed circRNAs (DECs), and predict potential microRNA (miRNA) targets for DECs and their associated genes. Cultured cells from two genetic lines (Nicholas commercial turkey and The Ohio State Random Bred Control 2) under three thermal treatments: cold (33°C), control (38°C), and hot (43°C) were compared at both the proliferation and differentiation stages. CircRNA prediction and differential expression and splicing analyses were conducted using the CIRIquant pipeline for both the untreated and RNase R depletion treated libraries. Predicted interactions between DECs and miRNAs, as well as the potential impact of circRNA secondary structure on these interactions, were investigated. A total of 11,125 circRNAs were predicted within the treatment groups, between both untreated and RNase R treated libraries. Differential expression analyses indicated that circRNA expression was significantly altered by thermal treatments and the genetic background of the stem cells. A total of 140 DECs were identified across the treatment comparisons. In general, more DECs within temperature treatment comparisons were identified in the proliferation stage and more DECs within genetic line comparisons were identified in the differentiation stage. This study highlights the significant impact of environmental stressors on non-coding RNAs and their role in gene regulation. Elucidating the role of non-coding RNAs in gene regulation can help further our understanding of muscle development and poultry production, underscoring the broader implications of this research for enhancing animal protein production efficiency.

Target prediction of potential candidate miRNAs from Oryza sativa to silence the Pyricularia oryzae genome in rice blast

Rice (Oryza sativa) is a staple food for billions of people across the globe, that feeds nearly three-quarters of the human population on Earth, particularly in Asian countries. Rice yield has been drastically reduced and severely affected by various biotic and abiotic stresses, especially pathogens. Controlling the attack of such pathogens is a matter of immediate concern as yield losses in rice crops could deprive millions of lives of nourishment worldwide. Pyricularia oryzae is one such pathogen that has been considered the major disease of rice because of its worldwide geographic distribution. P. oryzae belongs to the kingdom fungi, that causes rice blast ultimately adversely affecting the yield of the rice crop. Keeping in view this alarming scenario, the present study was designed so that the identifications of genome-encoded miRNAs of Oryza sativa were employed to target and silence the genome of P. oryzae. This study accomplished the computational analysis of algorithms related to miRNA target prediction. Four computational target prediction algorithms i.e., psRNATarget, RNA22, miRanda, and RNAhybrid were utilized in this investigation. The consensus among target prediction algorithms was created to discover six miRNAs from the O. sativa genome with the conservation of the target site fully evaluated on the genome of P. oryzae. The discovery of these novel six miRNAs in Oryza sativa paved a strong way toward the control of this disease in rice. It will open doors for further research in the field of gene silencing in rice. These miRNAs can be designed and employed in the future as experimentation to create constructs regarding the silencing of P. oryzae in rice crops. In the future, this research would be surely helpful for the development of P. oryzae resistant rice varieties.

Cyclic Enzymatic Signal Amplification-Driven DNA Logic Nanodevices on Framework Nucleic Acid for Highly Sensitive Electrochemiluminescence Detection of Dual Myocardial miRNAs.

MicroRNAs (miRNAs) have emerged as promising biomarkers for acute myocardial infarction (AMI). There is an urgent imperative to develop analytical methodologies capable of intelligently discerning multiple circulating miRNAs. Here, we present a dual miRNA detection platform for AMI using DNA logic gates coupled with an electrochemiluminescence (ECL) response. The platform integrates DNA truncated square pyramids as capture probes on gold-deposited electrodes, enabling precise quantification of miRNA associated with AMI. The cyclic enzymatic signal amplification principle of strand displacement amplification enhances the miRNA detection sensitivity. AND and OR logic gates have been successfully constructed, enabling intelligent identification of miRNAs in AMI. Calibration curves show strong linear correlations between ECL intensity and target miRNA concentration (10 fM to 10 nM), with excellent stability in consecutive measurements. When applied to clinical serum samples, the biosensor exhibits consistent performance, underscoring its reliability for clinical diagnostics. This innovative approach not only demonstrates DNA nanotechnology's potential in biosensing but also offers a promising solution for improving AMI diagnosis and prognosis through precise miRNA biomarker detection.

Profiles and interactions of gut microbiome and intestinal microRNAs in pediatric Crohn's disease.

Since previous studies have focused on the change of the fecal gut microbiome and intestinal tissue miRNA in pediatric Crohn's disease (CD), the relationship between them in different stages is still not clear. This is the first study to explore the gut microbiota and miRNA and their correlations with the Pediatric Crohn's Disease Activity Index (PCDAI). Crohn's Disease Endoscopic Index of Severity (CDEIS), and calprotectin, by applying two omics approach in three different groups (active CD, CD in remission with exclusive enteral nutrition or infliximab induction therapy, and the healthy controls). Both gut microbiome structure and the miRNA profiles were significantly changed in the different stage of CD. Seven key gut microbiome at species and eight key miRNAs were found, and their close interactions were further fully investigated by miRNA target prediction.

Transcriptome Mining, Identification and In silico Characterization of Thaumatin-Like Protein Sequences from Mentha Longifolia

Background: Thaumatin-like proteins (TLPs) constitute the PR-5 family of plant pathogenesis- related (PR) proteins and are responsible for host defense and various growth and development- related processes. Mints (Mentha sp.) are essential oil-bearing plants, mainly affected by water availability and fungal pathogens. Objective: Identification of candidate TLPs in Mentha longifolia that may help to counter pathogen infection Methods: Several bioinformatics procedures were used to identify TLP gene sequences from M. longifolia and to characterize them for nucleotide length and composition, their translated proteins, subcellular location, signal peptides, post translational modifications, allergenicity potential, evolutionary relatedness, and miRNA targeting. Result: 19 TLP candidates were identified in M. longifolia (Mlo_TLP001 - Mlo_TLP0019) annotating the available transcriptome data. The molecular mass of Mlo_TLPs ranged between 35.43 kDa - 12.79 kDa. Expression analysis of the Mlo_TLPs revealed that Mlo_TLP003, 006, 008, 010, 012, 013, 014, and 018 were upregulated in M. longifolia stem as compared to the root under control conditions. Further, the analysis of control and V. dahliae infected M. longifolia plants has shown Mlo_TLP006 to be upregulated in both the infected stem and root tissues as compared to the control. Conclusion: Mlo_TLP006 is a probable candidate that imparts resistance to fungal pathogens in Mentha longifolia

DDP Induced Cytotoxicity through miR-215-5p/COL5A1/FSTL1 Axis to Regulate Autophagy in Lung Adenocarcinoma Cells.

Cisplatin (DDP) resistance remains a major challenge in the treatment of lung adenocarcinoma (LUAD). Autophagy is an important mechanism to generate drug resistance. It has been established that COL5A1 has been shown to accelerate LUAD metastasis and affect cellular processes. We investigated the role of COL5A1 in DDP resistance using the H1299/DDP and A549/DDP cell lines. Flow cytometry, CCK8, and western blot assays were used to detect apoptosis, cell viability, and autophagy. In addition, upstream miRNAs were screened using bioinformatics methods. MS2-RIP assay and luciferase reporter gene assay were used to validate miRNA interaction with COL5A1. Transfection experiments and western blot experiments were performed to investigate miRNA targeting to COL5A1 and its regulation of autophagy through FSTL1. The role of miRNA and COL5A1 in LUAD cisplatin resistance was also verified in vivo. The down-regulation of COL5A1 significantly reduced the survival and autophagy of DDP-resistant cells while enhancing apoptosis. MiR-215-5p was found to be a direct regulator of COL5A1, which affects autophagy through FSTL1. The present study demonstrated that miR-215-5p regulated COL5A1 to modulate FSTL1 and autophagy, thereby attenuating LUAD resistance to DDP. These findings deepen the understanding of LUAD pathogenesis and provide potential insights into therapeutic strategies.

Analysis of miRNAs in milk of four livestock species

BackgroundMilk is essential for mammalian nutrition because it provides vital nutrients for growth and development. Milk composition, which is influenced by genetic and environmental factors, supports lactation, a complex process crucial for milk production and quality. Recent research has focused on noncoding RNAs, particularly microRNAs (miRNAs), which are present in body fluids and regulate gene expression post-transcriptionally. This study comprehensively characterizes miRNAs in milk of four livestock species, namely Bubalus bubalis, Capra hircus, Equus asinus, and Ovis aries and identifies potential target genes.ResultsHigh-throughput sequencing of milk RNA resulted in distinct read counts across species: B. bubalis (8,790,441 reads), C. hircus (12,976,275 reads), E. asinus (9,385,067 reads), and O. aries (7,295,297 reads). E. asinus had the highest RNA mapping rate (94.6%) and O. aries the lowest (84.8%). A substantially greater proportion of miRNAs over other small RNAs was observed for the donkey milk sample (7.74%) compared to buffalo (0.87%), goat (1.57%), and sheep (1.12%). Shared miRNAs, which included miR-200a, miR-200b, miR-200c, and miR-23a among others, showed varying expression levels across species, confirmed by qPCR analysis. Functional annotation of predicted miRNA target genes highlighted diverse roles, with an enrichment in functions linked to metabolism and immunity. Pathway analysis identified immune response pathways as significant, with several miRNAs targeting specific genes across species, suggesting their regulatory function in milk.ConclusionsBoth conserved and species-specific miRNAs were detected in milk of the investigated species. The identified target genes of these miRNAs have important roles in neonatal development, adaptation, growth, and immune response. Furthermore, they influence milk and meat production traits in livestock.

Advancing microRNA target site prediction with transformer and base-pairing patterns.

MicroRNAs (miRNAs) are short non-coding RNAs involved in various cellular processes, playing a crucial role in gene regulation. Identifying miRNA targets remains a central challenge and is pivotal for elucidating the complex gene regulatory networks. Traditional computational approaches have predominantly focused on identifying miRNA targets through perfect Watson-Crick base pairings within the seed region, referred to as canonical sites. However, emerging evidence suggests that perfect seed matches are not a prerequisite for miRNA-mediated regulation, underscoring the importance of also recognizing imperfect, or non-canonical, sites. To address this challenge, we propose Mimosa, a new computational approach that employs the Transformer framework to enhance the prediction of miRNA targets. Mimosa distinguishes itself by integrating contextual, positional and base-pairing information to capture in-depth attributes, thereby improving its predictive capabilities. Its unique ability to identify non-canonical base-pairing patterns makes Mimosa a standout model, reducing the reliance on pre-selecting candidate targets. Mimosa achieves superior performance in gene-level predictions and also shows impressive performance in site-level predictions across various non-human species through extensive benchmarking tests. To facilitate research efforts in miRNA targeting, we have developed an easy-to-use web server for comprehensive end-to-end predictions, which is publicly available at http://monash.bioweb.cloud.edu.au/Mimosa.

An enzyme-free and label-free multiplex detection of miRNAs by entropy-driven circuit coupled with capillary electrophoresis

MicroRNAs (miRNAs) are currently recognized as important biomarkers for the early diagnosis and prognostic treatment of cancer. Herein, we developed a simple and label-free method for the multiplex detection of miRNAs, based on entropy-driven circuit (EDC) amplification and non-gel sieving capillary electrophoresis-LED induced fluorescence detection (NGCE-LEDIF) platform. In this system, three different lengths of fuel chains were designed to catalyze three EDC, targeting miRNA-21, miRNA-155, and miRNA-10b, respectively. In the presence of target miRNA, the EDC cycle amplification reaction was triggered, generating numerous stable double-strands products (F-DNA/L-DNA). Since the three miRNAs correspond to three different lengths of F-DNA/L-DNA, they can be easily isolated and detected by NGCE. This strategy has good sensitivity, with detection limits of 68 amol, 292.2 amol, and 394 amol for miRNA-21, miRNA-155, and miRNA-10b, respectively. Additionally, this method has good specificity and can effectively distinguish single-base mismatches of miRNA. The recoveries of the three miRNAs in deproteinized healthy human serum ranged from 91.28 % to 108.4 %, with a relative standard deviation (RSD) of less than 7.9 %. This method was further applied to detect cellular miRNAs in human breast cancer (MCF-7) cell extracts, revealing an up-regulation of miRNA-21, miRNA-155, and miRNA-10b in MCF-7 cells. The successful spiked recovery in human serum and RNA extraction from MCF-7 cells underscores the practicality of this method. Therefore, this strategy has broad application prospects in biomedical research.

MiR-9-5p regulates Sirt1 involved in testicular development and spermatogenesis in mouse

Testicular development and spermatogenesis are critical for male reproduction, with histone (de)acetylation playing a key role in chromatin remodeling within germ cells. Sirt1, a key histone deacetylase, is implicated in chromatin remodeling, but its expression pattern and specific role in testicular development and spermatogenesis need further study. This study comprehensively analyzed Sirt1 expression in adult and juvenile mouse testicular tissues and across various male germ cells, utilizing RT-qPCR, Western blot, immunofluorescence, and cell transfection. GO and KEGG enrichment analyses were performed to elucidate the biological functions and pathways associated with Sirt1 and its related genes. Multiple miRNA databases were utilized to predict miRNAs targeting Sirt1, and their expression levels were validated using RT-qPCR. Lentiviral transfection was used to knockdown candidate miRNAs to assess their functional roles. The results revealed a significant downregulation of Sirt1 expression in adult mouse testicular tissues compared to juvenile tissues, with pronounced variation across diverse male germ cells. Sirt1 was highly expressed in spermatogonia and mature sperm, but comparatively lower in spermatocytes and spermatids. GO and KEGG enrichment analyses highlighted Sirt1's role in key biological processes, including chromatin organization, regulation of cell proliferation, and energy homeostasis, as well as its association with signaling pathways like cellular senescence, the FoxO signaling pathway, and the AMPK signaling pathway. Bioinformatic analysis and subsequent RT-qPCR validation identified miR-9-5p as a miRNA targeting Sirt1. The expression of miR-9-5p was significantly higher in adult mouse testicular tissues compared to juvenile tissues, inversely correlating with Sirt1 levels. Moreover, the knockdown of miR-9-5p led to a notable increase in Sirt1 mRNA and protein expression. In conclusion, Sirt1 is a key player in mouse testicular development and spermatogenesis. The discovery that miR-9-5p negatively regulates Sirt1 suggests a critical regulatory axis that may govern these processes, providing novel insights into male fertility and potential targets for therapeutic intervention.

Identification of key immune-related genes and potential therapeutic targets in immune checkpoint inhibitor–associated myocarditis

Abstract Background Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment; however, the emergence of ICI-associated myocarditis (ICI-MC) presents a severe and potentially fatal complication with poorly understood pathophysiological mechanisms. This study aimed to identify crucial immune-related genes in ICI-MC and uncover potential therapeutic targets using bioinformatics. Methods Using the GSE180045 dataset, which includes three groups—Group A: ICI patients without immune adverse events, Group B: ICI patients with non-myocarditis immune adverse events, and Group C: ICI patients with myocarditis—we analyzed differentially expressed genes (DEGs) between ICI-MC samples (Group C) and non-myocarditis controls (Groups A and B). These DEGs were then cross-referenced with 1796 immune-related genes from the immPort database to identify immune-related DEGs. We conducted functional enrichment analyses (Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, gene set enrichment analysis), constructed a protein–protein interaction network, and identified hub genes. Validation using the GSE4172 dataset led to the identification of optimal feature genes from the overlap between hub genes and DEGs. Predictions of target MicroRNAs (miRNAs) were made, and a competing endogenous RNA (ceRNA) network was constructed. Target drugs for hub genes were predicted using the Connectivity Map database. Results We identified 58 DEGs between ICI-MC and controls, which led to the identification of 32 immune-related DEGs after intersection with 1796 immune-related genes. Functional analyses revealed enrichment in cell lysis, CD8+ T-cell receptor, natural killer cell–mediated cytotoxicity, and RAGE signaling. Notably upregulated hub genes included IL7R, PRF1, GNLY, CD3G, NKG7, GZMH, GZMB, KLRB1, KLRK1, and CD247. In the validation dataset, 407 DEGs were uncovered, resulting in the identification of 3 optimal feature genes (KLRB1, NKG7, GZMH). The predicted target miRNAs, lincRNAs, and circRNAs constituted a comprehensive ceRNA network. Among the top 10 drugs with elevated connectivity scores was acetohydroxamic acid, indicating a need for caution in ICI treatment. Conclusion KG7, GZMH, and KLRB1 were identified as pivotal immune-related genes in ICI-MC. Biological enrichments included pathways involved in cell lysis, the CD8+ T-cell receptor pathway, natural killer cell–mediated cytotoxicity, RAGE signaling, and proinflammatory responses. The ceRNA network illuminated the role of critical molecules and underscored the importance of avoiding drugs such as acetohydroxamic acid in ICI treatment. Key message What is already known on this topic Myocarditis is recognized as a serious ICI-associated toxicity, seemingly infrequent yet often fulminant and lethal. The underlying mechanisms of ICI-associated myocarditis remain not fully understood. Although the significance of T cells and cytotoxic T lymphocyte–associated protein 4 (CTLA-4) is evident, the inciting antigens, the reasons for their recognition, and the mechanisms causing cardiac cell injury are not well characterized. An improved understanding of ICI-associated myocarditis will provide insights into the equilibrium between the immune and cardiovascular systems. What this study adds Our study further validates the significance of T cells and CTLA-4 in ICI-associated myocarditis. More importantly, we identified three genes—NKG7, GZMH, and KLRB1—essential for the development of ICI-MC and proposed ceRNA networks involving these three key genes. How this study might affect research, practice or policy The newly discovered key genes and their intricate molecular interactions offer a comprehensive perspective on the mechanisms underlying ICI-MC. Furthermore, our findings advise caution regarding the use of drugs like acetohydroxamic acid during ICI treatment. As our understanding of these regulatory networks deepens, our study provides valuable insights that could inform future therapeutic strategies for ICI-MC.

The identification of key molecules and pathways in the crosstalk of calcium oxalate-treated TCMK-1 cells and macrophage via exosomes

The interplay between crystals and epithelial cells forms the cornerstone of kidney stone development, communication between epithelial cells and macrophages emerging as a pivotal role in this process. We conducted next-generation sequencing on the secreted exosomes of TCMK-1 cells treated with calcium oxalate monohydrate (OX_EXO) or controls (NC_EXO), and on the macrophage cell line RAW264.7 stimulated with OX_EXO or NC_EXO, followed by validation of differentially expressed target proteins and miRNAs through Western blot and PCR. UPSET plots were employed to identify genes co-targeted by exosomal miRNAs. Various bioinformatic analyses were employed to predict potential mechanisms of the dysregulated genes. We integrated sequencing data from the GEO database, and validated findings using clinical patient urine and kidney tissues. We identified 665 differentially expressed exosomal miRNAs between OX_EXO and NC_EXO. Among the top 10 down-regulated miRNAs, the most targeted genes were AAK1 and NUFIP2, whereas PLCB1 was significantly targeted among the top 10 up-regulated miRNAs. In clinical specimens, we confirmed the differential expressions of five homologous miRNAs, as well as CNOT3, CNCNA1C, APEX1, and TMEM199. In conclusion, treatment of TCMK-1 cells with calcium oxalate significantly alerted the expression profile of exosomal miRNAs, subsequently influencing gene expression in macrophages, thereby modulating the processes of kidney stone formation.