[Advances in mapping analysis of ribonucleic acid modifications through sequencing].

Over 170 chemical modifications have been discovered in various types of ribonucleic acids (RNAs), including messenger RNA (mRNA), ribosomal RNA (rRNA), transfer RNA (tRNA), and small nuclear RNA (snRNA). These RNA modifications play crucial roles in a wide range of biological processes such as gene expression regulation, RNA stability maintenance, and protein translation. RNA modifications represent a new dimension of gene expression regulation known as the "epitranscriptome". The discovery of RNA modifications and the relevant writers, erasers, and readers provides an important basis for studies on the dynamic regulation and physiological functions of RNA modifications. Owing to the development of detection technologies for RNA modifications, studies on RNA epitranscriptomes have progressed to the single-base resolution, multilayer, and full-coverage stage. Transcriptome-wide methods help discover new RNA modification sites and are of great importance for elucidating the molecular regulatory mechanisms of epitranscriptomics, exploring the disease associations of RNA modifications, and understanding their clinical applications. The existing RNA modification sequencing technologies can be categorized according to the pretreatment approach and sequencing principle as direct high-throughput sequencing, antibody-enrichment sequencing, enzyme-assisted sequencing, chemical labeling-assisted sequencing, metabolic labeling sequencing, and nanopore sequencing technologies. These methods, as well as studies on the functions of RNA modifications, have greatly expanded our understanding of epitranscriptomics. In this review, we summarize the recent progress in RNA modification detection technologies, focusing on the basic principles, advantages, and limitations of different methods. Direct high-throughput sequencing methods do not require complex RNA pretreatment and allow for the mapping of RNA modifications using conventional RNA sequencing methods. However, only a few RNA modifications can be analyzed by high-throughput sequencing. Antibody enrichment followed by high-throughput sequencing has emerged as a crucial approach for mapping RNA modifications, significantly advancing the understanding of RNA modifications and their regulatory functions in different species. However, the resolution of antibody-enrichment sequencing is limited to approximately 100-200 bp. Although chemical crosslinking techniques can achieve single-base resolution, these methods are often complex, and the specificity of the antibodies used in these methods has raised concerns. In particular, the issue of off-target binding by the antibodies requires urgent attention. Enzyme-assisted sequencing has improved the accuracy of the localization analysis of RNA modifications and enables stoichiometric detection with single-base resolution. However, the enzymes used in this technique show poor reactivity, specificity, and sequence preference. Chemical labeling sequencing has become a widely used approach for profiling RNA modifications, particularly by altering reverse transcription (RT) signatures such as RT stops, misincorporations, and deletions. Chemical-assisted sequencing provides a sequence-independent RNA modification detection strategy that enables the localization of multiple RNA modifications. Additionally, when combined with the biotin-streptavidin affinity method, low-abundance RNA modifications can be enriched and detected. Nevertheless, the specificity of many chemical reactions remains problematic, and the development of specific reaction probes for particular modifications should continue in the future to achieve the precise localization of RNA modifications. As an indirect localization method, metabolic labeling sequencing specifically localizes the sites at which modifying enzymes act, which is of great significance in the study of RNA modification functions. However, this method is limited by the intracellular labeling of RNA and cannot be applied to biological samples such as clinical tissues and blood samples. Nanopore sequencing is a direct RNA-sequencing method that does not require RT or the polymerase chain reaction (PCR). However, challenges in analyzing the data obtained from nanopore sequencing, such as the high rate of false positives, must be resolved. Discussing sequencing analysis methods for various types of RNA modifications is instructive for the future development of novel RNA modification mapping technologies, and will aid studies on the functions of RNA modifications across the entire transcriptome.

Role of RNA modifications in Blood development and Regeneration.

Blood development and regeneration require rapid turnover of cells, and RNA modifications play a key role in it via regulating stemness and cell fate regulation. RNA modifications effect gene activity via post-transcriptional and translation-mediated mechanisms. Diverse molecular players involved in RNA modification processes are abundantly expressed by hematopoietic stem cells and lineages. Close to 150 RNA chemical modifications have been reported, but only m6A, I, Ψ, and m1A, a handful have been studied in cell fate regulation. The role of RNA modification in blood diseases and disorders is an emerging field and offers potential for therapeutic interventions. Knowledge of RNA modification and enzymatic activities could be used to design therapies in the future. Here, we summarize the recent advances in RNA modification and the epitranscriptome field and discuss their regulation of blood development and regeneration.

Comprehensive Review of Uterine Leiomyosarcoma: Pathogenesis, Diagnosis, Prognosis, and Targeted Therapy.

Uterine leiomyosarcoma (uLMS) is the most common subtype of uterine sarcomas. They have a poor prognosis with high rates of recurrence and metastasis. The five-year survival for uLMS patients is between 25 and 76%, with survival rates approaching 10-15% for patients with metastatic disease at the initial diagnosis. Accumulating evidence suggests that several biological pathways are involved in uLMS pathogenesis. Notably, drugs that block abnormal functions of these pathways remarkably improve survival in uLMS patients. However, due to chemotherapy resistance, there remains a need for novel drugs that can target these pathways effectively. In this review article, we provide an overview of the recent progress in ascertaining the biological functions and regulatory mechanisms in uLMS from the perspective of aberrant biological pathways, including DNA repair, immune checkpoint blockade, protein kinase and intracellular signaling pathways, and the hedgehog pathway. We review the emerging role of epigenetics and epitranscriptome in the pathogenesis of uLMS. In addition, we discuss serum markers, artificial intelligence (AI) combined with machine learning, shear wave elastography, current management and medical treatment options, and ongoing clinical trials for patients with uLMS. Comprehensive, integrated, and deeper insights into the pathobiology and underlying molecular mechanisms of uLMS will help develop novel strategies to treat patients with this aggressive tumor.

Elucidation of the Epitranscriptomic RNA Modification Landscape of Chikungunya Virus.

The genomes of positive-sense (+) single-stranded RNA (ssRNA) viruses are believed to be subjected to a wide range of RNA modifications. In this study, we focused on the chikungunya virus (CHIKV) as a model (+) ssRNA virus to study the landscape of viral RNA modification in infected human cells. Among the 32 distinct RNA modifications analysed by mass spectrometry, inosine was found enriched in the genomic CHIKV RNA. However, orthogonal validation by Illumina RNA-seq analyses did not identify any inosine modification along the CHIKV RNA genome. Moreover, CHIKV infection did not alter the expression of ADAR1 isoforms, the enzymes that catalyse the adenosine to inosine conversion. Together, this study highlights the importance of a multidisciplinary approach to assess the presence of RNA modifications in viral RNA genomes.

Targeting Bromodomain-Containing Protein 9 in Human Uterine Fibroid Cells.

Bromodomain (BRD)-containing proteins are evolutionarily conserved protein-protein interaction modules involved in many biological processes. BRDs selectively recognize and bind to acetylated lysine residues, particularly in histones, and thereby have a crucial role in the regulation of gene expression. BRD protein dysfunction has been linked to many diseases, including tumorigenesis. Previously, we reported the critical role of BRD-containing protein 9 (BRD9) in the pathogenesis of UFs. The present study aimed to extend our previous finding and further understand the role of the BRD9 in UFs. Our studies demonstrated that targeted inhibition of BRD9 with its potent inhibitor TP-472 inhibited the pathogenesis of UF through increased apoptosis and proliferation arrest and decreased extracellular matrix deposition in UF cells. High-throughput transcriptomic analysis further and extensively demonstrated that targeted inhibition of BRD9 by TP-472 impacted the biological pathways, including cell cycle progression, inflammatory response, E2F targets, ECM deposition, and m6A reprogramming. Compared with the previous study, we identified common enriched pathways induced by two BRD9 inhibitors, I-BRD9 and TP-472. Taken together, our studies further revealed the critical role of BRD9 in UF cells. We characterized the link between BRD9 and other vital pathways, as well as the connection between epigenetic and epitranscriptome involved in UF progression. Targeted inhibition of BRD proteins might provide a non-hormonal treatment strategy for this most common benign tumor in women of reproductive age.

Loss of Epitranscriptomic Modification N6-Methyladenosine (m6A) Reader YTHDF1 Exacerbates Ischemic Brain Injury in a Sexually Dimorphic Manner.

N6-Methyladenosine (m6A) is a neuronal-enriched, reversible post-transcriptional modification that regulates RNA metabolism. The m6A-modified RNAs recruit various m6A-binding proteins that act as readers. Differential m6A methylation patterns are implicated in ischemic brain damage, yet the precise role of m6A readers in propagating post-stroke m6A signaling remains unclear. We presently evaluated the functional significance of the brain-enriched m6A reader YTHDF1, in post-stroke pathophysiology. Focal cerebral ischemia significantly increased YTHDF1 mRNA and protein expression in adult mice of both sexes. YTHDF1-/- male, but not female, mice subjected to transient middle cerebral artery occlusion (MCAO) showed worsened motor function recovery and increased infarction compared to sex-matched YTHDF1+/+ mice. YTHDF1-/- male, but not female, mice subjected to transient MCAO also showed significantly perturbed expression of genes related to inflammation, and increased infiltration of peripheral immune cells into the peri-infarct cortex, compared with sex-matched YTHDF1+/+ mice. Thus, this study demonstrates a sexual dimorphism of YTHDF1 in regulating post-ischemic inflammation and pathophysiology. Hence, post-stroke epitranscriptomic regulation might be sex-dependent.

MeRIP-Seq for Identifying Stress-Responsive Transcriptome-Wide m6A Profiles in Plants.

Recent advancements in detection and mapping methods have enabled researchers to uncover the biological importance of RNA chemical modifications, which play a vital role in post-transcriptional gene regulation. Although numerous types of RNA modifications have been identified in higher eukaryotes, only a few have been extensively studied for their biological functions. Of these, N6-methyladenosine (m6A) is the most prevalent and important mRNA modification that influences various aspects of RNA metabolism, including mRNA stability, degradation, splicing, alternative polyadenylation, export, and localization, as well as translation. Thus, they have implications for a variety of biological processes, including growth, development, and stress responses. The m6A deposition or removal on transcripts is dynamic and is altered in response to internal and external cues. Because this mark can alter gene expression under stress conditions, it is essential to identify the transcripts that can acquire or lose this epitranscriptomic mark upon exposure to stress conditions. Here we describe a step-by-step protocol for identifying stress-responsive transcriptome-wide m6A changes using RNA immunoprecipitation followed by high-throughput sequencing (MeRIP-seq).

Epitranscriptomic Mass Spectrometry.

Every chemical group that is added to any one of the canonical ribonucleotides in a transcript would create a specific RNA modification. Currently, 170+ RNA modifications have been identified. A specific epitranscriptome refers to all the RNA modifications in a given biological system and is considered to play an important role in the regulations of cellular activities. Mass spectrometry-based methods have proven to be the most accurate way to identify RNA modifications and determine the amount of each detectable modification. Relating to the recent development of mapping specific RNA modifications within a transcriptome, the profiling of all RNA modifications can serve as a prescreening tool for mapping and provides support for analyzing the data obtained from mapping. In this chapter, the details for setting up a commonly used mass spectrometry-based method to profile all the RNA modifications in specific epitranscriptomes are described, and the possible options if available are discussed.

Studying m6A in the brain: a perspective on current methods, challenges, and future directions.

A major mechanism of post-transcriptional RNA regulation in cells is the addition of chemical modifications to RNA nucleosides, which contributes to nearly every aspect of the RNA life cycle. N6-methyladenosine (m6A) is a highly prevalent modification in cellular mRNAs and non-coding RNAs, and it plays important roles in the control of gene expression and cellular function. Within the brain, proper regulation of m6A is critical for neurodevelopment, learning and memory, and the response to injury, and m6A dysregulation has been implicated in a variety of neurological disorders. Thus, understanding m6A and how it is regulated in the brain is important for uncovering its roles in brain function and potentially identifying novel therapeutic pathways for human disease. Much of our knowledge of m6A has been driven by technical advances in the ability to map and quantify m6A sites. Here, we review current technologies for characterizing m6A and highlight emerging methods. We discuss the advantages and limitations of current tools as well as major challenges going forward, and we provide our perspective on how continued developments in this area can propel our understanding of m6A in the brain and its role in brain disease.

Antibiotic-Induced Gut Microbiota Dysbiosis Modulates Host Transcriptome and m6A Epitranscriptome via Bile Acid Metabolism.

Gut microbiota can influence host gene expression and physiology through metabolites. Besides, the presence or absence of gut microbiome can reprogram host transcriptome and epitranscriptome as represented by N6-methyladenosine (m6A), the most abundant mammalian mRNA modification. However, which and how gut microbiota-derived metabolites reprogram host transcriptome and m6A epitranscriptome remain poorly understood. Here, investigation is conducted into how gut microbiota-derived metabolites impact host transcriptome and m6A epitranscriptome using multiple mouse models and multi-omics approaches. Various antibiotics-induced dysbiotic mice are established, followed by fecal microbiota transplantation (FMT) into germ-free mice, and the results show that bile acid metabolism is significantly altered along with the abundance change in bile acid-producing microbiota. Unbalanced gut microbiota and bile acids drastically change the host transcriptome and the m6A epitranscriptome in multiple tissues. Mechanistically, the expression of m6A writer proteins is regulated in animals treated with antibiotics and in cultured cells treated with bile acids, indicating a direct link between bile acid metabolism and m6A biology. Collectively, these results demonstrate that antibiotic-induced gut dysbiosis regulates the landscape of host transcriptome and m6A epitranscriptome via bile acid metabolism pathway. This work provides novel insights into the interplay between microbial metabolites and host gene expression.

Synchronous profiling of mRNA N6-methyladenosine modifications and mRNA expression in high-grade serous ovarian cancer: a pilot study.

This study aimed to synchronously determine epitranscriptome-wide RNA N6-methyladenosine (m6A) modifications and mRNA expression profile in high grade serous ovarian cancer (HGSOC). The methylated RNA immunoprecipitation sequencing (MeRIP-seq) was used to comprehensively examine the m6A modification profile and the RNA-sequencing (RNA-seq) was performed to analyze the mRNA expression profile in HGSOC and normal fallopian tube (FT) tissues. Go and KEGG analyses were carried out in the enrichment of those differentially methylated and expressed genes. MeRIP-seq data showed 53,794 m6A methylated peaks related to 19,938 genes in the HGSOC group and 51,818 m6A peaks representing 19,681 genes in the FT group. RNA-seq results revealed 2321 upregulated and 2486 downregulated genes in HGSOC. Conjoint analysis of MeRIP-seq and RNA-seq data identified differentially expressed genes in which 659 were hypermethylated (330 up- and 329 down-regulated) and 897 were hypomethylated (475 up- and 422 down-regulated). Functional enrichment analysis indicated that these differentially modulated genes are involved in pathways related to cancer development. Among methylation regulators, the m6A eraser (FTO) expression was significantly lower, but the m6A readers (IGF2BP2 and IGF2BP3) were higher in HGSOC, which was validated by the subsequent real-time PCR assay. Exploration through public databases further corroborated their possible clinical application of certain methylation regulators and differentially expressed genes. For the first time, our study screens the epitranscriptome-wide m6A modification and expression profiles of their modulated genes and signaling pathways in HGSOC. Our findings provide an alternative direction in exploring the molecular mechanisms of ovarian pathogenesis and potential biomarkers in the diagnosis and predicting the prognosis of the disease.

NanoMUD: Profiling of pseudouridine and N1-methylpseudouridine using Oxford Nanopore direct RNA sequencing.

Nanopore direct RNA sequencing provided a promising solution for unraveling the landscapes of modifications on single RNA molecules. Here, we proposed NanoMUD, a computational framework for predicting the RNA pseudouridine modification (Ψ) and its methylated analog N1-methylpseudouridine (m1Ψ), which have critical application in mRNA vaccination, at single-base and single-molecule resolution from direct RNA sequencing data. Electric signal features were fed into a bidirectional LSTM neural network to achieve improved accuracy and predictive capabilities. Motif-specific models (NNUNN, N = A, C, U or G) were trained based on features extracted from designed dataset and achieved superior performance on molecule-level modification prediction (Ψ models: min AUC = 0.86, max AUC = 0.99; m1Ψ models: min AUC = 0.87, max AUC = 0.99). We then aggregated read-level predictions for site stoichiometry estimation. Given the observed sequence-dependent bias in model performance, we trained regression models based on the distribution of modification probabilities for sites with known stoichiometry. The distribution-based site stoichiometry estimation method allows unbiased comparison between different contexts. To demonstrate the feasibility of our work, three case studies on both in vitro and in vivo transcribed RNAs were presented. NanoMUD will make a powerful tool to facilitate the research on modified therapeutic IVT RNAs and provides useful insight to the landscape and stoichiometry of pseudouridine and N1-pseudouridine on in vivo transcribed RNA species.

Small-molecule inhibition of the METTL3/METTL14 complex suppresses neuroblastoma tumor growth and promotes differentiation.

The N6-methyladenosine (m6A) RNA modification is an important regulator of gene expression. m6A is deposited by a methyltransferase complex that includes methyltransferase-like 3 (METTL3) and methyltransferase-like 14 (METTL14). High levels of METTL3/METTL14 drive the growth of many types of adult cancer, and METTL3/METTL14 inhibitors are emerging as new anticancer agents. However, little is known about the m6A epitranscriptome or the role of the METTL3/METTL14 complex in neuroblastoma, a common pediatric cancer. Here, we show that METTL3 knockdown or pharmacologic inhibition with the small molecule STM2457 leads to reduced neuroblastoma cell proliferation and increased differentiation. These changes in neuroblastoma phenotype are associated with decreased m6A deposition on transcripts involved in nervous system development and neuronal differentiation, with increased stability of target mRNAs. In preclinical studies, STM2457 treatment suppresses the growth of neuroblastoma tumors in vivo. Together, these results support the potential of METTL3/METTL14 complex inhibition as a therapeutic strategy against neuroblastoma.

Enhanced ac4C detection in RNA via chemical reduction and cDNA synthesis with modified dNTPs.

The functional analysis of epitranscriptomic modifications in RNA is constrained by a lack of methods that accurately capture their locations and levels. We previously demonstrated that the RNA modification N4-acetylcytidine (ac4C) can be mapped at base resolution through sodium borohydride reduction to tetrahydroacetylcytidine (tetrahydro-ac4C), followed by cDNA synthesis to misincorporate adenosine opposite reduced ac4C sites, culminating in C:T mismatches at acetylated cytidines (RedaC:T). However, this process is relatively inefficient, resulting in <20% C:T mismatches at a fully modified ac4C site in 18S rRNA. Considering that ac4C locations in other substrates including mRNA are unlikely to reach full penetrance, this method is not ideal for comprehensive mapping. Here, we introduce "RetraC:T" (reduction to tetrahydro-ac4C and reverse transcription with amino-dATP to induce C:T mismatches) as a method with enhanced ability to detect ac4C in cellular RNA. In brief, RNA is reduced through NaBH4 or the closely related reagent sodium cyanoborohydride (NaCNBH3) followed by cDNA synthesis in the presence of a modified DNA nucleotide, 2-amino-dATP, that preferentially binds to tetrahydro-ac4C. Incorporation of the modified dNTP substantially improved C:T mismatch rates, reaching stoichiometric detection of ac4C in 18S rRNA. Importantly, 2-amino-dATP did not result in truncated cDNA products nor increase mismatches at other locations. Thus, modified dNTPs are introduced as a new addition to the toolbox for detecting ac4C at base resolution.

Non-Coding RNAs: Regulators of Stress, Ageing, and Developmental Decisions in Yeast?

Cells must change their properties in order to adapt to a constantly changing environment. Most of the cellular sensing and regulatory mechanisms described so far are based on proteins that serve as sensors, signal transducers, and effectors of signalling pathways, resulting in altered cell physiology. In recent years, however, remarkable examples of the critical role of non-coding RNAs in some of these regulatory pathways have been described in various organisms. In this review, we focus on all classes of non-coding RNAs that play regulatory roles during stress response, starvation, and ageing in different yeast species as well as in structured yeast populations. Such regulation can occur, for example, by modulating the amount and functional state of tRNAs, rRNAs, or snRNAs that are directly involved in the processes of translation and splicing. In addition, long non-coding RNAs and microRNA-like molecules are bona fide regulators of the expression of their target genes. Non-coding RNAs thus represent an additional level of cellular regulation that is gradually being uncovered.

No evidence for ac4C within human mRNA upon data reassessment.

Cytidine acetylation (ac4C) of RNA is a post-transcriptional modification catalyzed by Nat10. Recently, an approach termed RedaC:T was employed to map ac4C in human mRNA, relying on detection of C>T mutations in WT but not in Nat10-KO cells. RedaC:T suggested widespread ac4C presence. Here, we reanalyze RedaC:T data. We find that mismatch signatures are not reproducible, as C>T mismatches are nearly exclusively present in only one of two biological replicates. Furthermore, all mismatch types-not only C>T-are highly enriched in WT samples, inconsistent with an acetylation signature. We demonstrate that the originally observed enrichment in mutations in one of the WT samples is due to its low complexity, resulting in the technical amplification of all classes of mismatch counts. Removal of duplicate reads abolishes the skewed mismatch patterns. These analyses account for the irreproducible mismatch patterns across samples while failing to find evidence for acetylation of RedaC:T sites.

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.

Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess neuronal epitranscriptome plasticity.

Chemical modifications in mRNAs such as pseudouridine (psi) can regulate gene expression, although our understanding of the functional impact of individual psi modifications, especially in neuronal cells, is limited. We apply nanopore direct RNA sequencing to investigate psi dynamics under cellular perturbations in SH-SY5Y cells. We assign sites to psi synthases using siRNA-based knockdown. A steady-state enzyme-substrate model reveals a strong correlation between psi synthase and mRNA substrate levels and psi modification frequencies. Next, we performed either differentiation or lead-exposure to SH-SY5Y cells and found that, upon lead exposure, not differentiation, the modification frequency is less dependent on enzyme levels suggesting translational control. Finally, we compared the plasticity of psi sites across cellular states and found that plastic sites can be condition-dependent or condition-independent; several of these sites fall within transcripts encoding proteins involved in neuronal processes. Our psi analysis and validation enable investigations into the dynamics and plasticity of RNA modifications.

Esterification of Cyclic N6-Threonylcarbamoyladenosine During RNA Sample Preparation.

The continuous deciphering of crucial biological roles of RNA modifications and their involvement in various pathological conditions, together with their key roles in the use of RNA-based therapeutics, has reignited interest in studying the occurrence and identity of non-canonical ribonucleoside structures during the past years. Discovery and structural elucidation of new modified structures is usually achieved by combination of liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) at the nucleoside level and stable isotope labeling experiments. This approach, however, has its pitfalls as demonstrated in the course of the present study: we structurally elucidated a new nucleoside structure that showed significant similarities to the family of (c)t6A modifications and was initially considered a genuine modification, but subsequently turned out to be an in vitro formed glycerol ester of t6A. This artifact is generated from ct6A during RNA hydrolysis upon addition of enzymes stored in glycerol containing buffers in a mildly alkaline milieu, and was moreover shown to undergo an intramolecular transesterification reaction. Our results demand for extra caution, not only in the discovery of new RNA modifications, but also with regard to the quantification of known modified structures, in particular chemically labile modifications, such as ct6A, that might suffer from exposure to putatively harmless reagents during the diverse steps of sample preparation.

Analysis of RNA and Its Modifications.

Ribonucleic acids (RNAs) are key biomolecules responsible for the transmission of genetic information, the synthesis of proteins, and modulation of many biochemical processes. They are also often the key components of viruses. Synthetic RNAs or oligoribonucleotides are becoming more widely used as therapeutics. In many cases, RNAs will be chemically modified, either naturally via enzymatic systems within a cell or intentionally during their synthesis. Analytical methods to detect, sequence, identify, and quantify RNA and its modifications have demands that far exceed requirements found in the DNA realm. Two complementary platforms have demonstrated their value and utility for the characterization of RNA and its modifications: mass spectrometry and next-generation sequencing. This review highlights recent advances in both platforms, examines their relative strengths and weaknesses, and explores some alternative approaches that lie at the horizon.