No evidence for ac4C within human mRNA upon data reassessment

NAT10 and N4-acetylcytidine restrain R-loop levels and related inflammatory responses

N4-acetylcytidine (ac4C) is deposited on diverse RNAs by N-acetyltransferase 10 (NAT10), a protein with high biological relevance for aging and cancer. We performed a comprehensive survey of ac4C using metabolic labeling, sodium cyanoborohydride chemical treatment coupled to next-generation sequencing (NGS), and ac4C antibody-based cell and molecular biology techniques. Our analysis shows that NAT10-dependent ac4C-acetylation is robust in rRNA and specific tRNAs but low/spurious in mRNA. It also revealed an inflammatory signature and mutagenesis at transcriptionally active sites in NAT10-KO cells. This finding led us to explore the role of NAT10 in R-loops, which were recently linked to APOBEC3B-mediated mutagenesis. Our analysis showed that R-loops are ac4C-acetylated in a NAT10-dependent manner. Furthermore, NAT10 restrains the levels of R-loops at a subset of differentially expressed genes in a catalytic activity-dependent manner. Together with cellular biology data showing ac4C-modified RNA in endosomal structures, we propose that increased levels of ac4C-unmodified RNAs, likely derived from R-loops, in endosomal structures induce inflammatory responses.

De novo basecalling of RNA modifications at single molecule and nucleotide resolution

RNA modifications influence RNA function and fate, but detecting them in individual molecules remains challenging for most modifications. Here we present a novel methodology to generate training sets and build modification-aware basecalling models. Using this approach, we develop the m6ABasecaller, a basecalling model that predicts m6A modifications from raw nanopore signals. We validate its accuracy in vitro and in vivo, revealing stable m6A modification stoichiometry across isoforms, m6A co-occurrence within RNA molecules, and m6A-dependent effects on poly(A) tails. Finally, we demonstrate that our method generalizes to other RNA and DNA modifications, paving the path towards future efforts detecting other modifications.

NAT10-mediated mRNA N4-acetylation is essential for the translational regulation during oocyte meiotic maturation in mice

The precise translational regulation of maternal messenger RNAs (mRNAs) drives mammalian oocyte maturation. However, the function and mechanism of posttranscriptional chemical modifications, especially the newly identified N4-acetylcytidine (ac4C) modification catalyzed by N-acetyltransferase 10 (NAT10), are unknown. In this study, we developed a low-input ac4C sequencing technology, ac4C LACE-seq, and mapped 8241 ac4C peaks at the whole-transcriptome level using 50 mouse oocytes at the germinal vesicle stage. Oocyte-specific Nat10 knockout wiped out ac4C signals in oocytes and caused severe defects in meiotic maturation and female infertility. Mechanically, Nat10 deletion led to a failure of ac4C deposition on mRNAs encoding key maternal factors, which regulate transcriptome stability and maternal-to-zygotic transition. Nat10-deleted oocytes showed decreased mRNA translation efficiency due to the direct inhibition of ac4C sites on specific transcripts during meiotic maturation. In summary, we developed a low-input, high-sensitivity mRNA ac4C profiling approach and highlighted the important physiological function of ac4C in the precise regulation of oocyte meiotic maturation by enhancing translation efficiency.

Advanced reactivity-based sequencing methods for mRNA epitranscriptome profiling

Currently, over 170 chemical modifications identified in RNA introduce an additional regulatory attribute to gene expression, known as the epitranscriptome. The development of detection methods to pinpoint the location and quantify these dynamic and reversible modifications has significantly expanded our understanding of their roles. This review goes deep into the latest progress in enzyme- and chemical-assisted sequencing methods, highlighting the opportunities presented by these reactivity-based techniques for detailed characterization of RNA modifications. Our survey provides a deeper understanding of the function and biological roles of RNA modification.

The detection, function, and therapeutic potential of RNA 2'-O-methylation

RNA modifications play crucial roles in shaping RNA structure, function, and metabolism. Their dysregulation has been associated with many diseases, including cancer, developmental disorders, cardiovascular diseases, as well as neurological and immune-related conditions. A particular type of RNA modification, 2'-O-methylation (Nm) stands out due to its widespread occurrence on all four types of nucleotides (A, U, G, C) and in most RNA categories, e.g., mRNA, rRNA, tRNA, miRNA, snRNA, snoRNA, and viral RNA. Nm is the addition of a methyl group to the 2' hydroxyl of the ribose moiety of a nucleoside. Given its great biological significance and reported association with many diseases, we first reviewed the occurrences and functional implications of Nm in various RNA species. We then summarized the reported Nm detection methods, ranging from biochemical techniques in the 70's and 80's to recent methods based on Illumina RNA sequencing, artificial intelligence (AI) models for computational prediction, and the latest nanopore sequencing methods currently under active development. Moreover, we discussed the applications of Nm in the realm of RNA medicine, highlighting its therapeutic potential. At last, we present perspectives on potential research directions, aiming to offer insights for future investigations on Nm modification.

Detection of ac4C in human mRNA is preserved upon data reassessment

We recently reported the distribution of N4-acetylcytidine (ac4C) in HeLa mRNA at base resolution through chemical reduction and the induction of C:T mismatches in sequencing (RedaC:T-seq). Our results contradicted an earlier report from Schwartz and colleagues utilizing a similar method termed ac4C-seq. Here, we revisit both datasets and reaffirm our findings. Through RedaC:T-seq reanalysis, we establish a low basal error rate at unmodified nucleotides that is not skewed to any specific mismatch type and a prominent increase in C:T substitutions as the dominant mismatch type in both treated wild-type replicates, with a high degree of reproducibility across replicates. In contrast, through ac4C-seq reanalysis, we uncover significant data quality issues including insufficient depth, with one wild-type replicate yielding 2.7 million reads, inconsistencies in reduction efficiencies between replicates, and an overall increase in mismatches involving thymine that could obscure ac4C detection. These analyses bolster the detection of ac4C in HeLa mRNA through RedaC:T-seq.