Transcriptome-wide N6-methyladenosine modification profiling of long non-coding RNAs in patients with recurrent implantation failure.

N6-methyladenosine (m6A) is involved in most biological processes and actively participates in the regulation of reproduction. According to recent research, long non-coding RNAs (lncRNAs) and their m6A modifications are involved in reproductive diseases. In the present study, using m6A-modified RNA immunoprecipitation sequencing (m6A-seq), we established the m6A methylation transcription profiles in patients with recurrent implantation failure (RIF) for the first time. There were 1443 significantly upregulated m6A peaks and 425 significantly downregulated m6A peaks in RIF. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that genes associated with differentially methylated lncRNAs are involved in the p53 signalling pathway and amino acid metabolism. The competing endogenous RNA network revealed a regulatory relationship between lncRNAs, microRNAs and messenger RNAs. We verified the m6A methylation abundances of lncRNAs by using m6A-RNA immunoprecipitation (MeRIP)-real-time polymerase chain reaction. This study lays a foundation for further exploration of the potential role of m6A modification in the pathogenesis of RIF.

Genetic Variants in METTL16 Affect the Risk of Non-Syndromic Orofacial Clefts.

OBJECTIVE: N6-methyladenosine (m6A) is the most prevalent modification of RNA in eukaryotes which is associated with many cellular processes and diseases. Here, our objective is to explore whether genetic variants in m6A modification genes are associated with the risk of non-syndrome orofacial clefts (NSOCs). METHODS: The transmission disequilibrium test (TDT) was performed to calculate the association between single nucleotide polymorphisms (SNPs) in m6A modification genes and NSOCs risk in 944 case-parent trios. The function of SNP was predicted by HaploReg, RegulomeDB and histone enrichment data. The expression quantitative trait locus (eQTL) analysis was examined using Genotype-Tissue Expression (GTEx) and eQTLGen. The role of gene in the development of NSOCs was assessed with correlation and enrichment analysis based on gene expression data in mice craniofacial tissue and zebrafish embryo. RESULTS: We identified that rs8078195 (A > C) in METTL16 was suggestively associated with the increased risk of NSOCs (OR = 1.32, p = 1.80E - 03). The region surrounding rs8078195 was subjected to deoxyribonuclease hypersensitivity and enriched with multiple histone modifications. In addition, it had a significant eQTL effect with METTL16 in skin tissue and human peripheral blood, which played an important role in NSOCs development. Bioinformatic analysis indicated that METTL16 contributed to the development of NSOCs probably by regulating cell cycle process. CONCLUSIONS: Rs8078195 in METTL16 was associated with the occurrence of NSOCs.

Screening of key genes related to M6A methylation in patients with heart failure.

OBJECTIVE: This study aims to identify m6A methylation-related and immune cell-related key genes with diagnostic potential for heart failure (HF) by leveraging various bioinformatics techniques. METHODS: The GSE116250 and GSE141910 datasets were sourced from the Gene Expression Omnibus (GEO) database. Correlation analysis was conducted between differentially expressed genes (DEGs) in HF and control groups, alongside differential m6A regulatory factors, to identify m6A-related DEGs (m6A-DEGs). Subsequently, candidate genes were narrowed down by intersecting key module genes derived from weighted gene co-expression network analysis (WGCNA) with m6A-DEGs. Key genes were then identified through the Least Absolute Shrinkage and Selection Operator (LASSO) analysis. Correlation analyses between key genes and differentially expressed immune cells were performed, followed by the validation of key gene expression levels in public datasets. To ensure clinical applicability, five pairs of blood samples were collected for quantitative real-time fluorescence PCR (qRT-PCR) validation. RESULTS: A total of 93 m6A-DEGs were identified (|COR| > 0.6, P < 0.05), and five key genes (LACTB2, NAMPT, SCAMP5, HBA1, and PRKAR2A) were selected for further analysis. Correlation analysis revealed that differential immune cells were negatively associated with the expression of LACTB2, NAMPT, and PRKAR2A (P < 0.05), while positively correlated with SCAMP5 and HBA1 (P < 0.05). Subsequent expression validation confirmed significant differences in key gene expression between the HF and control groups, with consistent expression trends observed across both training and validation sets. The expression trends of LACTB2, PRKAR2A, and HBA1 in blood samples from the qRT-PCR assay aligned with the results derived from public databases. CONCLUSION: This study successfully identified five m6A methylation-related key genes with diagnostic significance, providing a theoretical foundation for further exploration of m6A methylation's molecular mechanisms in HF.

Epitranscriptome in action: RNA modifications in the DNA damage response.

Complex pathways involving the DNA damage response (DDR) contend with cell-intrinsic and -extrinsic sources of DNA damage. DDR mis-regulation results in genome instability that can contribute to aging and diseases including cancer and neurodegeneration. Recent studies have highlighted key roles for several RNA species in the DDR, including short RNAs and RNA/DNA hybrids (R-loops) at DNA break sites, all contributing to efficient DNA repair. RNAs can undergo more than 170 distinct chemical modifications. These RNA modifications have emerged as key orchestrators of the DDR. Here, we highlight the function of enzyme- and non-enzyme-induced RNA modifications in the DDR, with particular emphasis on m6A, m5C, and RNA editing. We also discuss stress-induced RNA damage, including RNA alkylation/oxidation, RNA-protein crosslinks, and UV-induced RNA damage. Uncovering molecular mechanisms that underpin the contribution of RNA modifications to DDR and genome stability will have direct application to disease and approaches for therapeutic intervention.

The role of dsRNA A-to-I editing catalyzed by ADAR family enzymes in the pathogeneses.

The process of adenosine deaminase (ADAR)-catalyzed double-stranded RNA (dsRNA) Adenosine-to-Inosine (A-to-I) editing is essential for the correction of pathogenic mutagenesis, as well as the regulation of gene expression and protein function in mammals. The significance of dsRNA A-to-I editing in disease development and occurrence is explored using inferential statistics and cluster analyses to investigate the enzymes involved in dsRNA editing that can catalyze editing sites across multiple biomarkers. This editing process, which occurs in coding or non-coding regions, has the potential to activate abnormal signalling pathways that contributes to disease pathogenesis. Notably, the ADAR family enzymes play a crucial role in initiating the editing process. ADAR1 is upregulated in most diseases as an oncogene during tumorigenesis, whereas ADAR2 typically acts as a tumour suppressor. Furthermore, this review also provides an overview of small molecular inhibitors that disrupt the expression of ADAR enzymes. These inhibitors not only counteract tumorigenicity but also alleviate autoimmune disorders, neurological neurodegenerative symptoms, and metabolic diseases associated with aberrant dsRNA A-to-I editing processes. In summary, this comprehensive review offers detailed insights into the involvement of dsRNA A-to-I editing in disease pathogenesis and highlights the potential therapeutic roles for related small molecular inhibitors. These scientific findings will undoubtedly contribute to the advancement of personalized medicine based on dsRNA A-to-I editing.

LoDEI: a robust and sensitive tool to detect transcriptome-wide differential A-to-I editing in RNA-seq data.

RNA editing is a highly conserved process. Adenosine deaminase acting on RNA (ADAR) mediated deamination of adenosine (A-to-I editing) is associated with human disease and immune checkpoint control. Functional implications of A-to-I editing are currently of broad interest to academic and industrial research as underscored by the fast-growing number of clinical studies applying base editors as therapeutic tools. Analyzing the dynamics of A-to-I editing, in a biological or therapeutic context, requires the sensitive detection of differential A-to-I editing, a currently unmet need. We introduce the local differential editing index (LoDEI) to detect differential A-to-I editing in RNA-seq datasets using a sliding-window approach coupled with an empirical q value calculation that detects more A-to-I editing sites at the same false-discovery rate compared to existing methods. LoDEI is validated on known and novel datasets revealing that the oncogene MYCN increases and that a specific small non-coding RNA reduces A-to-I editing.

m6ATM: a deep learning framework for demystifying the m6A epitranscriptome with Nanopore long-read RNA-seq data.

N6-methyladenosine (m6A) is one of the most abundant and well-known modifications in messenger RNAs since its discovery in the 1970s. Recent studies have demonstrated that m6A is involved in various biological processes, such as alternative splicing and RNA degradation, playing an important role in a variety of diseases. To better understand the role of m6A, transcriptome-wide m6A profiling data are indispensable. In recent years, the Oxford Nanopore Technology Direct RNA Sequencing (DRS) platform has shown promise for RNA modification detection based on current disruptions measured in transcripts. However, decoding current intensity data into modification profiles remains a challenging task. Here, we introduce the m6A Transcriptome-wide Mapper (m6ATM), a novel Python-based computational pipeline that applies deep neural networks to predict m6A sites at a single-base resolution using DRS data. The m6ATM model architecture incorporates a WaveNet encoder and a dual-stream multiple-instance learning model to extract features from specific target sites and characterize the m6A epitranscriptome. For validation, m6ATM achieved an accuracy of 80% to 98% across in vitro transcription datasets containing varying m6A modification ratios and outperformed other tools in benchmarking with human cell line data. Moreover, we demonstrated the versatility of m6ATM in providing reliable stoichiometric information and used it to pinpoint PEG10 as a potential m6A target transcript in liver cancer cells. In conclusion, m6ATM is a high-performance m6A detection tool, and our results pave the way for future advancements in epitranscriptomic research.

Genome-Wide Identification and Expression Analysis of the ALKB Homolog Gene Family in Potato (Solanum tuberosum L.).

N6-methyladenosine (m6A) is an abundant and pervasive post-transcriptional modification in eukaryotic mRNAs. AlkB homolog (ALKBH) proteins play crucial roles in RNA metabolism and translation, participating in m6A methylation modification to regulate plant development. However, no comprehensive investigations have been conducted on ALKBH in potato. Here, 11 StALKBH family genes were identified in potato and renamed according to BLASTP and phylogenetic analyses following the Arabidopsis genome. The characteristics, sequence structures, motif compositions, phylogenetics, chromosomal locations, synteny, and promoter cis-acting element predictions were analyzed, revealing distinct evolutionary relationships between potato and other species (tomato and Arabidopsis). Homologous proteins were classified into seven groups depending on similar conserved domains, which implies that they possess a potentially comparable function. Moreover, the StALKBHs were ubiquitous, and their expression was examined in the various tissues of a whole potato, in which the StALKBH genes, except for StALKBH2, were most highly expressed in the stolon and flower. Multiple hormone and stress-response elements were found to be located in the promoters of the StALKBH genes. Further qRT-PCR results suggest that they may be significantly upregulated in response to phytohormones and abiotic stress (except for cold), and the expression of most of the StALKBH genes exhibited positively modulated trends. Overall, this study is the first to report a genome-wide assessment of the ALKBH family in potato, providing valuable insights into candidate gene selection and facilitating in-depth functional analyses of ALKBH-mediated m6A methylation mechanisms in potato.

A novel protein SPECC1-415aa encoded by N6-methyladenosine modified circSPECC1 regulates the sensitivity of glioblastoma to TMZ.

BACKGROUND: Circular RNAs (circRNAs) can influence a variety of biological functions and act as a significant role in the progression and recurrence of glioblastoma (GBM). However, few coding circRNAs have been discovered in cancer, and their role in GBM is still unknown. The aim of this study was to identify coding circRNAs and explore their potential roles in the progression and recurrence of GBM. METHODS: CircSPECC1 was screened via circRNAs microarray of primary and recurrent GBM samples. To ascertain the characteristics and coding ability of circSPECC1, we conducted a number of experiments. Afterward, through in vivo and in vitro experiments, we investigated the biological functions of circSPECC1 and its encoded novel protein (SPECC1-415aa) in GBM, as well as their effects on TMZ sensitivity. RESULTS: By analyzing primary and recurrent GBM samples via circRNAs microarray, circSPECC1 was found to be a downregulated circRNA with coding potential in recurrent GBM compared with primary GBM. CircSPECC1 suppressed the proliferation, migration, invasion, and colony formation abilities of GBM cells by encoding a new protein known as SPECC1-415aa. CircSPECC1 restored TMZ sensitivity in TMZ-resistant GBM cells by encoding the new protein SPECC1-415aa. The m6A reader protein IGF2BP1 can bind to circSPECC1 to promote its expression and stability. Mechanistically, SPECC1-415aa can bind to ANXA2 and competitively inhibit the binding of ANXA2 to EGFR, thus resulting in the inhibition of the phosphorylation of EGFR (Tyr845) and its downstream pathway protein AKT (Ser473). In vivo experiments showed that the overexpression of circSPECC1 could combine with TMZ to treat TMZ-resistant GBM, thereby restoring the sensitivity of TMZ-resistant GBM to TMZ. CONCLUSIONS: CircSPECC1 was downregulated in recurrent GBM compared with primary GBM. The m6A reader protein IGF2BP1 could promote the expression and stability of circSPECC1. The sequence of SPECC1-415aa, which is encoded by circSPECC1, can inhibit the binding of ANXA2 to EGFR by competitively binding to ANXA2 and inhibiting the phosphorylation of EGFR and AKT, thereby restoring the sensitivity of TMZ-resistant GBM cells to TMZ.

ALKBH5-mediated m6A demethylation ameliorates extracellular matrix deposition in cutaneous pathological fibrosis.

BACKGROUND: Elevated extracellular matrix (ECM) accumulation is a major contributing factor to the pathogenesis of fibrotic diseases. Recent studies have indicated that N6-methyladenosine (m6A) RNA modification plays a pivotal role in modulating RNA stability and contribute to the initiation of various pathological conditions. Howbeit, the precise mechanism by which m6A influences ECM deposition remains unclear. METHODS: In this study, we used hypertrophic scars (HTSs) as a paradigm to investigate ECM-related diseases. We focused on the role of ALKBH5-mediated m6A demethylation within the pathological progression of HTSs and examined its correlation with clinical stages. The effects of ALKBH5 ablation on ECM components were studied both in vivo and in vitro. Downstream targets of ALKBH5, along with their underlying mechanisms, were identified using integrated high-throughput analysis, RNA-binding protein immunoprecipitation and RNA pull-down assays. Furthermore, the therapeutic potential of exogenous ALKBH5 overexpression was evaluated in fibrotic scar models. RESULTS: ALKBH5 was decreased in fibroblasts derived from HTS lesions and was negatively correlated with their clinical stages. Importantly, ablation of ALKBH5 promoted the expression of COL3A1, COL1A1, and ELN, leading to pathological deposition and reconstruction of the ECM both in vivo and in vitro. From a therapeutic perspective, the exogenous overexpression of ALKBH5 significantly inhibited abnormal collagen deposition in fibrotic scar models. As determined by integrated high-throughput analysis, key ECM components including COL3A1, COL1A1, and ELN are direct downstream targets of ALKBH5. By means of its mechanism, ALKBH5 inhibits the expression of COL3A1, COL1A1, and ELN by removing m6A from mRNAs, thereby decreasing their stability in a YTHDF1-dependent manner. CONCLUSIONS: Our study identified ALKBH5 as an endogenous suppressor of pathological ECM deposition, contributing to the development of a reprogrammed m6A-targeted therapy for HTSs.

An orthology-based methodology as a complementary approach to retrieve evolutionarily conserved A-to-I RNA editing sites.

Adar-mediated adenosine-to-inosine (A-to-I) mRNA editing is a conserved mechanism that exerts diverse regulatory functions during the development, evolution, and adaptation of metazoans. The accurate detection of RNA editing sites helps us understand their biological significance. In this work, with an improved genome assembly of honeybee (Apis mellifera), we used a new orthology-based methodology to complement the traditional pipeline of (de novo) RNA editing detection. Compared to the outcome of traditional pipeline, we retrieved many novel editing sites in CDS that are deeply conserved between honeybee and other distantly related insects. The newly retrieved sites were missed by the traditional de novo identification due to the stringent criteria for controlling false-positive rate. Caste-specific editing sites are identified, including an Ile>Met auto-recoding site in Adar. This recoding was even conserved between honeybee and bumblebee, suggesting its putative regulatory role in shaping the phenotypic plasticity of eusocial Hymenoptera. In summary, we proposed a complementary approach to the traditional pipeline and retrieved several previously unnoticed CDS editing sites. From both technical and biological aspects, our works facilitate future researches on finding the functional editing sites and advance our understanding on the connection between RNA editing and the great phenotypic diversity of organisms.

Integrated multiomics revealed adenosine signaling predict immunotherapy response and regulate tumor ecosystem of melanoma.

Extracellular adenosine is extensively involved in regulating the tumor microenvironment. Given the disappointing results of adenosine-targeted therapy trials, personalized treatment might be necessary, tailored to the microenvironment status of individual patients. Here, we introduce the adenosine signaling score (ADO-score) model using non-negative matrix fraction identified patient subtypes using publicly available melanoma dataset, which aimed to profile adenosine signaling-related genes and construct a model to predict prognosis. We analyzed 580 malignant melanoma samples and demonstrated its robust value for prognosis. Further investigation in immune checkpoint inhibitor dataset suggests its potential as a stratified factor of immune checkpoint inhibitor efficacy. We validated the power of the ADO-score at the protein level immunofluorescence in a melanoma cohort from Xiangya Hospital. More importantly, single-cell and spatial transcriptomic data highlighted the cell-specific expression patterns of adenosine signaling-related genes and the existence of adenosine signaling-mediated crosstalk between tumor cells and immune cells in melanoma. Our study reveals a robust connection between adenosine signaling and clinical benefits in melanoma patients and proposes a universally applicable adenosine signaling model, the ADO-score, in gene expression profiles and histological sections. This model enables us to more precisely and conveniently select patients who are likely to benefit from immunotherapy.

Integrated analysis of N6-methyladenosine- and 5-methylcytosine-related long non-coding RNAs for predicting prognosis in cervical cancer.

BACKGROUND: N6-methyladenosine (m6A) and 5-methylcytosine (m5C) play a role in modifying long non-coding RNAs (lncRNAs) implicated in tumorigenesis and progression. This study was performed to evaluate prognostic value of m6A- and m5C-related lncRNAs and develop an efficient model for prognosis prediction in cervical cancer (CC). METHODS: Using gene expression data of TCGA set, we identified m6A- and m5C-related lncRNAs. Consensus Clustering Analysis was performed for samples subtyping based on survival-related lncRNAs, followed by analyzing tumor infiltrating immune cells (TIICs). Optimal signature lncRNAs were obtained using lasso Cox regression analysis for constructing a prognostic model and a nomogram to predict prognosis. RESULTS: We built a co-expression network of 23 m6A-related genes, 15 m5C-related genes, and 62 lncRNAs. Based on 9 m6A- and m5C-related lncRNAs significantly associated with overall survival (OS) time, two molecular subtypes were obtained, which had significantly different OS time and fractions of TIICs. A prognostic model based on six m6A- and m5C-related signature lncRNAs was constructed, which could dichotomize patients into two risk subgroups with significantly different OS time. Prognostic power of the model was successfully validated in an independent dataset. We subsequently constructed a nomogram which could accurately predict survival probabilities. Drug sensitivity analysis found preferred chemotherapeutic agents for high and low-risk patients, respectively. CONCLUSION: Our study reveals that m6A- and m5C-related lncRNAs are associated with prognosis and immune microenvironment of CC. The m6A- and m5C-related six-lncRNA signature may be a useful tool for survival stratification in CC and open new avenues for individualized therapies.

Comprehensive Analysis of Crucial m6A-Related Differentially Expressed Genes in Psoriasis.

BACKGROUND: Psoriasis is a common, chronic, and multifactorial inflammatory cutaneous disorder that involves genetic and epigenetic factors. N6-methyladenosine methylation (m6A) is the most prevalent RNA modification implicated in various diseases; however, its role in psoriasis still needs to be further explored. We aimed to explore the mechanisms underlying the effects of m6A in psoriasis pathogenesis, prompting new therapeutic targets. METHODS: Three psoriasis-related datasets, including GSE155702, GSE109248, and GSE142582, were collected. Differentially m6A methylated genes (DMGs) between psoriasis lesions of psoriasis patients and healthy skin controls were identified from the GSE155702 dataset, and corresponding Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. Differentially expressed genes (DEGs) and the common DEGs between the two groups were screened from the GSE109248 and GSE142582 datasets; the expression and interactions of the m6A regulators were analyzed. The m6A levels of total RNAs and the protein expression levels of METTL3, WTAP, ALKBH5, FTO, and METTL14 in imiquimod (IMQ)-induced psoriasiform lesions were evaluated. RESULTS: 66 significantly upregulated and 381 significantly downregulated m6A peaks were identified, corresponding to 414 genes which were particularly associated with cell and tissue development processes and cell cycle related items. 271 common DEGs were identified, associating with keratinocyte differentiation, epidermis development, cytokine-cytokine receptor interaction, and fatty acid metabolic processes. 15 crucial m6A related differentially expressed genes were obtained after the intersection of the DMGs and common DEGs, including NEU2, GALNT6, MTCL1, DOC2B, CAMK2N1, SNTB1, RNF150, CGNL1, CCDC102A, MEOX2, EEF2K, OBSCN, SLC46A2, CCDC85A, and DACH1. In addition, we found that m6A methylation and these five m6A regulators were both upregulated in psoriatic lesions. CONCLUSIONS: It revealed that psoriasis pathophysiological processes encompass m6A epigenetic alterations, and that m6A alterations may specifically influence cell proliferation and neural regulation, and closely associated with osteoarticular involvement and metabolic syndrome in psoriasis.

Variable calling of m6A and associated features in databases: a guide for end-users.

N6-methyladenosine (m$^{6}$A) is a widely-studied methylation to messenger RNAs, which has been linked to diverse cellular processes and human diseases. Numerous databases that collate m$^{6}$A profiles of distinct cell types have been created to facilitate quick and easy mining of m$^{6}$A signatures associated with cell-specific phenotypes. However, these databases contain inherent complexities that have not been explicitly reported, which may lead to inaccurate identification and interpretation of m$^{6}$A-associated biology by end-users who are unaware of them. Here, we review various m$^{6}$A-related databases, and highlight several critical matters. In particular, differences in peak-calling pipelines across databases drive substantial variability in both peak number and coordinates with only moderate reproducibility, and the inclusion of peak calls from early m$^{6}$A sequencing protocols may lead to the reporting of false positives or negatives. The awareness of these matters will help end-users avoid the inclusion of potentially unreliable data in their studies and better utilize m$^{6}$A databases to derive biologically meaningful results.

Combining Nanopore direct RNA sequencing with genetics and mass spectrometry for analysis of T-loop base modifications across 42 yeast tRNA isoacceptors.

Transfer RNAs (tRNAs) contain dozens of chemical modifications. These modifications are critical for maintaining tRNA tertiary structure and optimizing protein synthesis. Here we advance the use of Nanopore direct RNA-sequencing (DRS) to investigate the synergy between modifications that are known to stabilize tRNA structure. We sequenced the 42 cytosolic tRNA isoacceptors from wild-type yeast and five tRNA-modifying enzyme knockout mutants. These data permitted comprehensive analysis of three neighboring and conserved modifications in T-loops: 5-methyluridine (m5U54), pseudouridine (Ψ55), and 1-methyladenosine (m1A58). Our results were validated using direct measurements of chemical modifications by mass spectrometry. We observed concerted T-loop modification circuits-the potent influence of Ψ55 for subsequent m1A58 modification on more tRNA isoacceptors than previously observed. Growing cells under nutrient depleted conditions also revealed a novel condition-specific increase in m1A58 modification on some tRNAs. A global and isoacceptor-specific classification strategy was developed to predict the status of T-loop modifications from a user-input tRNA DRS dataset, applicable to other conditions and tRNAs in other organisms. These advancements demonstrate how orthogonal technologies combined with genetics enable precise detection of modification landscapes of individual, full-length tRNAs, at transcriptome-scale.

Increased m6A RNA methylation and METTL3 expression may contribute to the synovitis progression of rheumatoid arthritis.

OBJECTIVE: Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovial hyperplasia and progressive bone destruction. The tumor-like growth of fibroblast-like synoviocytes (FLSs) plays a crucial role in the pathogenesis of RA. The N6 methyladenine (m6A) mRNA methylation modification, regulated by methyltransferases (METTL3) and demethylation enzymes, is a novel epigenetic regulator in the development of RA. However, there is limited research on m6A methylation modifications in RA synovitis and a lack of mechanistic studies on their impact on the function of RA-FLSs. METHODS: This study utilized clinical synovial tissue specimens and FLSs as research subjects. The m6A methylation level and the expression of methyltransferases and demethylation enzymes were detected. RNA interference and gene overexpression methods were employed to investigate the mechanism of METTL3 in RA-FLSs. The study also examined the proliferation, apoptosis, migration, invasion, and cytokine levels of RA-FLSs, as well as the expression of METTL3 in RA animal models. RESULTS: In this study, we found that m6A methylation levels were elevated in synovial tissues and FLSs of RA patients. Immunohistochemical staining showed that METTL3 and METTL14 levels were up-regulated in synovial tissues of RA, the mRNA levels of METTL3, METTL14, WTAP, FTO, and ALKBH5 were significantly higher in synovial tissues and FLSs of RA patients. Overexpression of METTL3 could promote the proliferation, migration, and secretion of IL-6, RANKL of RA-FLSs; inhibition of METTL3 expression could inhibit the abnormal proliferation, migration, invasion, and secretion of IL-6, RANKL, at the same time promoted the apoptosis and secretion of OPG, thus inhibited RA-FLSs tumor-like growth. In CIA mice, the use of MTX and STM2457 reduced METTL3 expression, synovial hyperplasia and bone destruction. CONCLUSION: Abnormal modification of m6A methylation exists in synovial tissues and FLSs of RA patients, and inhibition of METTL3 can reduce synovitis and bone destruction. Our findings suggest that m6A methylation might control FLS-mediated tumor-like phenotype, and be a novel target for RA treatment.

TARGET based m6A methylation-related genes predict prognosis relapsed B-cell acute lymphoblastic leukemia.

PURPOSE: The current study aims to investigate the significance of N6-methyladenosine (m6A) methylationrelated genes in the clinical prognosis of childhood relapsed B-cell acute lymphoblastic leukemia (B-ALLL) patient. METHODS: Transcriptome data and corresponding clinical data on m6A methylation-related genes (including 20 genes) were obtained from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) database. RESULTS: The bone marrow (BM) samples of 134 newly diagnosed (naive) and 116 relapsed B-ALL from TARGET were enrolled in the current study. Three genes (FTO, HNRNPC, RBM15B) showed significant up-regulation in relapsed B-ALL compared with that in naive B-ALL.The three genes had a significantly worse survival (P < 0.05). The LASSO Cox regression model was used to select the most predictive genes as prognostic indicators, and YTHDC1 and FTO were identified as prognostic factors for relapsed B-ALL. Finally, the results of multivariate regression analysis showed that the risk score of m6A methylation-related genes was an independent prognostic factor in relapsed B-ALL (P < 0.05). CONCLUSION: We found that the expression levels of m6A methylation-related genes were different in naive and relapsed patients with B-ALL and correlated with survival and prognosis.This implies that m6A methylation-related genes may be promising prognostic indicators or therapeutic targets for relapsed B-ALL.

A novel interaction between RNA m6A methyltransferase METTL3 and RREB1.

Regulation of gene expression is achieved through the modulation of regulatory inputs both pre- and post-transcriptionally. Methyltransferase-like 3 (METTL3) is a key player in pre-mRNA processing, actively catalyzing N6-methyladenosine (m6A). Among the most enriched mRNA targets of METTL3 is the Ras Responsive Element Binding Protein 1 (RREB1), a transcription factor which functions to govern cell fate, proliferation and DNA repair. Here, we show a novel interaction between METTL3 and RREB1. Further examination of this interaction indicates that METTL3's N-terminus is the primary interacting domain. Our findings uncover a novel interacting partner of METTL3, providing further insights into METTL3's regulatory network.

METTL3-driven m6A modification of lncRNA FAM230B suppresses ferroptosis by modulating miR-27a-5p/BTF3 axis in gastric cancer.

Our previous research revealed the apoptosis-inhibiting effect of lncRNA FAM230B in gastric cancer (GC). While its role on ferroptosis of GC remain unexplored. In this study, the m6A level and RNA stability regulation of METTL3 on FAM230B was detected by m6A quantification, stability assays, MeRIP, and their interaction was confirmed by RIP, and RNA pull-down assays. The level of ferroptosis was detected by flow cytometry, MDA and GSH level assessments, and electron microscopy. Gene expression was detected by quantitative real-time PCR, western blot, and immunofluorescence. The miR-27a-5p and BTF3 interaction was predicted with TargetScan and confirmed by dual-luciferase assay. Here, elevated levels of METTL3 and FAM230B were observed in GC tissues and cell lines. METTL3 was confirmed to bind with FAM230B RNA. Furthermore, silencing METTL3 reduced FAM230B m6A levels and stability, leading to decreased FAM230B and increased miR-27a-5p expressions. FAM230B knockdown favored ferroptosis and increased BTF3 expression, while its overexpression mitigated erastin-induced ferroptosis in GC cells. Additionally, BTF3 overexpression was found to negate miR-27a-5p's ferroptosis-promoting effects in GC cells. Collectively, our study demonstrates that the m6A modification of FAM230B by METTL3 plays a crucial role in promoting GC progression by reducing ferroptosis, through the modulation of the miR-27a-5p/BTF3 axis.