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RNA modifications are essential for the establishment of cellular identity. Although increasing evidence indicates that RNA modifications regulate the innate immune response, their role in monocyte-to-macrophage differentiation and polarisation is unclear. While m6A has been widely studied, other RNA modifications, including 5 hmC, remain poorly characterised. We profiled m6A and 5 hmC epitranscriptomes, transcriptomes, translatomes and proteomes of monocytes and macrophages at rest and pro- and anti-inflammatory states. Transcriptome-wide mapping of m6A and 5 hmC reveals enrichment of m6A and/or 5 hmC on specific categories of transcripts essential for macrophage differentiation. Our analyses indicate that m6A and 5 hmC modifications are present in transcripts with critical functions in pro- and anti-inflammatory macrophages. Notably, we also discover the co-occurrence of m6A and 5 hmC on alternatively-spliced isoforms and/or opposing ends of the untranslated regions (UTR) of mRNAs with key roles in macrophage biology. In specific examples, RNA 5 hmC controls the decay of transcripts independently of m6A. This study provides (i) a comprehensive dataset to interrogate the role of RNA modifications in a plastic system (ii) a resource for exploring different layers of gene expression regulation in the context of human monocyte-to-macrophage differentiation and polarisation, (iii) new insights into RNA modifications as central regulators of effector cells in innate immunity. [ABSTRACT FROM AUTHOR]

Alternative splicing (AS) is a crucial mechanism for regulating gene expression and isoform diversity in eukaryotes. However, the analysis and visualization of AS events from RNA sequencing data remains challenging. Most tools require a certain level of computer literacy and the available means of visualizing AS events, such as coverage and sashimi plots, have limitations and can be misleading. To address these issues, we present SpliceWiz , an R package with an interactive Shiny interface that allows easy and efficient AS analysis and visualization at scale. A novel normalization algorithm is implemented to aggregate splicing levels within sample groups, thereby allowing group differences in splicing levels to be accurately visualized. The tool also offers downstream gene ontology enrichment analysis, highlighting ASEs belonging to functional pathways of interest. SpliceWiz is optimized for speed and efficiency and introduces a new file format for coverage data storage that is more efficient than BigWig. Alignment files are processed orders of magnitude faster than other R-based AS analysis tools and on par with command-line tools. Overall, SpliceWiz streamlines AS analysis, enabling reliable identification of functionally relevant AS events for further characterization. SpliceWiz is a Bioconductor package and is also available on GitHub (https://github.com/alexchwong/SpliceWiz). [ABSTRACT FROM AUTHOR]

Virilizer-like m6A methyltransferase-associated protein (VIRMA) maintains the stability of the m6A writer complex. Although VIRMA is critical for RNA m6A deposition, the impact of aberrant VIRMA expression in human diseases remains unclear. We show that VIRMA is amplified and overexpressed in 15–20% of breast cancers. Of the two known VIRMA isoforms, the nuclear-enriched full-length but not the cytoplasmic-localised N-terminal VIRMA promotes m6A-dependent breast tumourigenesis in vitro and in vivo. Mechanistically, we reveal that VIRMA overexpression upregulates the m6A-modified long non-coding RNA, NEAT1, which contributes to breast cancer cell growth. We also show that VIRMA overexpression enriches m6A on transcripts that regulate the unfolded protein response (UPR) pathway but does not promote their translation to activate the UPR under optimal growth conditions. Under stressful conditions that are often present in tumour microenvironments, VIRMA-overexpressing cells display enhanced UPR and increased susceptibility to death. Our study identifies oncogenic VIRMA overexpression as a vulnerability that may be exploited for cancer therapy. [ABSTRACT FROM AUTHOR]

The aged brain is associated with an inevitable decline in cognitive function and increased vulnerability to neurodegenerative disorders. Multiple molecular hallmarks have been associated with the aging nervous system through transcriptomics and proteomic studies. Recently, epitranscriptomic analysis has highlighted the role of RNA chemical modification in various biological processes. In particular, N6‐methyladenosine (m6A), the most abundant internal modification in eukaryotic mRNAs, has been functionally linked to multiple aspects of RNA metabolism with the roles of m6A in processes such as learning and memory, leading to our current investigation of how the m6A‐transcriptomic landscape is shaped during aging. Using the inbred C57BL/6 line, we compared the m6A‐transcriptomic profiles from the hippocampi of young (3‐month‐old) and aged (20‐month‐old) mice. Methylated RNA immunoprecipitation (MeRIP)‐sequencing analysis revealed hyper‐ and hypomethylation in 426 and 102 genes, respectively, in the aged hippocampus (fold change >1.5, false discovery rate <0.05). By correlating the methylation changes to their steady‐state transcript levels in the RNA‐Seq data, we found a significant concordance between m6A and transcript levels in both directions. Notably, the myelin regulator gene Gpr17 was downregulated in the aged hippocampus concomitant with reduced m6A levels in its 3'UTR. Using reporter constructs and mutagenesis analysis, we demonstrated that the putative m6A sites in the 3'UTR of Gpr17 are important for mRNA translation but not for regulating transcript stability. Overall, the positive correlation between m6A and the transcript expression levels indicates a co‐transcriptional regulation of m6A with gene expression changes that occur in the aged mouse hippocampus. [ABSTRACT FROM AUTHOR]

Recent landmark discoveries have underpinned the physiological importance of intron retention (IR) across multiple domains of life and revealed an unexpected breath of functions in a large variety of biological processes. Despite significant progress in the field, some challenges remain. Once solved, opportunities will arise for discovering more functions of IR. [ABSTRACT FROM AUTHOR]