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. Author manuscript; available in PMC: 2019 Nov 23.
Published in final edited form as: Annu Rev Genet. 2018 Sep 19;52:349–372. doi: 10.1146/annurev-genet-120417-031522

Chemical Modifications in the Life of an mRNA Transcript

Sigrid Nachtergaele 1, Chuan He 1
PMCID: PMC6436393  NIHMSID: NIHMS1018362  PMID: 30230927

Abstract

Investigations over the past eight years of chemical modifications on messenger RNA (mRNA) have revealed a new level of posttranscriptional gene regulation in eukaryotes. Rapid progress in our understanding of these modifications, particularly, N6-methyladenosine (m6A), has revealed their roles throughout the life cycle of an mRNA transcript. m6A methylation provides a rapid mechanism for coordinated transcriptome processing and turnover that is important in embryonic development and cell differentiation. In response to cellular signals, m6A can also regulate the translation of specific pools of transcripts. These mechanisms can be hijacked in human diseases, including numerous cancers and viral infection. Beyond m6A, many other mRNA modifications have been mapped in the transcriptome, but much less is known about their biological functions. As methods continue to be developed, we will be able to study these modifications both more broadly and in greater depth, which will likely reveal a wealth of new RNA biology.

Keywords: ribonucleotide modifications, epitranscriptome, N6-methyladenosine, RNA metabolism

1. INTRODUCTION

The transcription of DNA into the messenger RNA (mRNA) transcripts that relay genomic information to the cytoplasm requires numerous processing steps to ensure proper gene expression. Through its life cycle, an mRNA transcript is transcribed from a genomic locus, capped, spliced, and polyadenylated. It then must be exported to the cytoplasm for storage or translation (Figure 1). Other types of RNA in the cell, such as transfer RNA (tRNA) and ribosomal RNA (rRNA), require extensive chemical modification throughout processing and maturation, and in certain cases, these additional moieties are essential for their proper function (90). The discovery that mRNA is polyadenylated provided a simple method to isolate these less abundant RNA species (24, 33). Through metabolic labeling studies, it quickly became clear that mRNA, like rRNA and tRNA, can also be modified (94). Later work identified two methylated species in mouse L cell mRNA: N6-methyladenosine (m6A) at a frequency of approximately 1–2 per 1,000 nucleotides, and 2′O-methylated nucleosides (2′OMe) (26,94,95). A few m6A sites were more precisely localized in SV40 virus mRNA (15), bovine prolactin mRNA (48), and Rous sarcoma virus RNA (56), eventually leading to the identification of the RR(m6A)CH ([G>A>U][G>A]m6AC[U>A>C]) motif, which has been validated in numerous studies since (57). A large 800-kDa enzyme complex responsible for N6-methylation was initially purified (12), and soon after, MT-A70 (now known as METTL3) was identified as the main S-adenosylmethionine (SAM)-binding constituent (13). Anti-m6A antibodies also enabled the identification of additional m6A sites in spliceosomal RNAs (14).

Figure 1.

Figure 1

Messenger RNA (mRNA) modifications and mRNA processing. ❶ mRNA transcripts are transcribed from their genomic locus by RNA Polymerase II (Pol II). As transcription proceeds, nascent transcripts are ❷ capped, ❸ spliced, and ❹ polyadenylated so they can be ❺ efficiently exported for protein translation. Though the canonical mRNA cap contains m7G, m6Am at the cap-adjacent nucleotide can render transcripts resistant to decapping by DCP2. m6A has been implicated in many aspects of mRNA processing, ❻ translation, and ❼ decay. m5C may mediate mRNA export through ALYREF, whereas Ψ and 2′OMe may influence protein translation by altering codon-anticodon interactions.

Although extensive work in plants and other systems continued (35), almost two decades passed before more detailed work was undertaken to characterize the distributions and functions of m6A and other modifications in mRNA. Two sets of studies drove the resurgent interest in this field. First, fat mass- and obesity-associated protein (FTO), a member of the nonheme Fe(II) and α-ketoglutarate-dependent dioxygenase AlkB family of proteins, and ALKBH5 were discovered to be mRNA m6A demethylases, suggesting that mRNA modifications could be reversible and regulated (45, 55, 139). Soon after, detailed characterization of the m6A mRNA methyltransferase complex revealed its key components: METTL3, METTL14, and WTAP (81, 97). Second, the transcriptome-wide distribution of m6A was mapped using antibody-based enrichment of m6A-containing RNA fragments followed by high-throughput sequencing (28, 89). Together, these breakthroughs allowed researchers both to perturb m6A by manipulating enzyme levels and to map its distribution throughout the transcriptome, enabling for the first time more detailed dissection of the biological functions of m6A in cells and animals.

Though many of the more than 140 RNA modifications that have been uncovered across archaea, bacteria, and eukarya were first annotated in more abundant tRNA or rRNA (11), the mapping of thousands of m6A sites in mRNA prompted a reexamination to determine what other modifications might be regulating the transcriptome. To date, pseudouridine (Ψ) (16, 84, 103), N1-methyladenosine (m1A) (29, 73), 5-methylcytidine (m5C) (51, 52, 62, 102, 109), and 2′OMe (23) have also been mapped in mammalian mRNA samples (Table 1). In addition, the 5′ cap harbors 7-methylguanosine (m7G) (1, 122), and the cap-adjacent nucleotides can be 2′O-methylated (1, 122) or N6,2′O-methylated (m6Am) (86, 121), thereby regulating transcript stability and translation.

Table 1.

mRNA modification structures, regulatory enzymes, features, and functions

mRNA modification Regulatory enzymes and binding proteins Features and known functions
graphic file with name nihms-1018362-t0004.jpg Methyltransferases: METTL3, METTL14, METTL16, WTAP, KIAA1429, Ime4 (yeast, fly)
Demethylases: FTO, ALKBH5
Binding proteins: YTHDF1–3; YTHDC1,2; HNRNPC; IGF2BP1–3; FMR1
Features: 5′ UTR, CDS, 3′ UTR, RRACH motif Functions: transcriptome turnover, translation regulation, cell differentiation, embryonic development, stress response
graphic file with name nihms-1018362-t0005.jpg Methyltransferases: TRMT6/TRMT61A, TRMT61B, TRMT10C
Demethylases: ALKBH1, ALKBH3
Features: 5′ UTR; early CDS; GC-rich, structured regions; first splice site
Functions: translational regulation during stress response?
graphic file with name nihms-1018362-t0006.jpg Methyltransferase: NSUN2
Demethylases: Tet (fly), TET2
Binding protein: ALYREF
Features: 5′ UTR, CDS, 3′ UTR
Functions: nuclear export, brain development (5hmC), response to infection (5hmC)
graphic file with name nihms-1018362-t0007.jpg Pseudouridine synthases: Pus1–4,6,7,9 (yeast); DKC1/dyskerin Features: CDS; UGΨAR (Pus4) and GUΨCNANC (Pus7) motifs in yeast, GUΨC and UGΨAG motifs in human
Function: translational regulation through recoding
graphic file with name nihms-1018362-t0008.jpg Methyltransferases: C/D-box small nucleolar RNA-guided Fibrillarin in rRNA; enzyme unknown in mRNA Features: Primarily Um, in CDS; 5′ cap +1, +2 nucleotide
Functions: translational regulation, codon bias?
graphic file with name nihms-1018362-t0009.jpg Methyltransferase: RNMT
Binding proteins: eIF4E, CBP20/CBP80
Feature: 5′ cap
Functions: mRNA processing and export, cap-dependent translation
graphic file with name nihms-1018362-t0010.jpg Demethylase: FTO Features: 5′ cap +1 nucleotide
Function: transcript stability

Abbreviations: ALKBH, alkylated DNA repair protein alkB homolog; CBP20/80, nuclear cap binding protein; CDS, coding sequence; DKC1, an H/ACA ribonucleoprotein complex subunit; eIF, eukaryotic translation initiation factor; FMR1, a synaptic functional regulator; FTO, fat mass- and obesity-associated protein; HNRNPC, heterogeneous nuclear ribonucleoproteins C1/C2; IGF2BP1–3, insulin-like growth factor 2 mRNA-binding protein 1–3; METTL, methyltransferase-like protein; mRNA, messenger RNA; NSUN2, tRNA [cytosine(34)-C(5)]-methyltransferase; Pus, pseudouridine synthase; TRMT6, tRNA [adenine(58)-N(1)]-methyltransferase noncatalytic subunit; TRMT10C, tRNA methyltransferase 10 homolog C; TRMT61A, tRNA [adenine(58)-N(1)]-methyltransferase catalytic subunit; TRMT61B, tRNA [adenine(58)-N(1)]-methyltransferase, mitochondrial; UTR, untranslated region; WTAP, Wilms tumor 1-associating protein; YTHDC1/2, YTH domain-containing protein 1/2; YTHDF1–3, YTH domain-containing family protein 1–3.

Even though additional modifications will likely be identified, it remains a challenge to map low-abundance modifications on mRNA, particularly at high resolution. In general, mapping techniques utilize an enrichment strategy (such as an antibody) or specific chemical reactivity of the modification in question, or a combination of these two, to map modification sites via high-throughput sequencing. Though effective, this strategy is limited by the lack of single-base resolution information on exact sites of modification and quantitative information on the modification fraction of each site. For instance, antibody-based strategies are simple and easy to implement if specific antibodies are available, but enrichment peaks can span 100 nucleotides, precluding detailed analysis of individual sites. Antibody specificity is always a potential issue that must be carefully tested, particularly with respect to cross-reactivity with closely related chemical species. Furthermore, the requirement for sufficient input RNA often precludes studies of rare cell populations and patient samples. An additional challenge beyond simply mapping mRNA modifications remains identifying the cellular machinery that regulates them, a critical step in beginning to understand their biological functions. In this respect, m6A is by far the most well-characterized modification in mRNA: Enzymes that both install and remove m6A, as well as m6A-binding proteins, are known, and with an antibody-based enrichment strategy that is simple to implement owing to the high abundance of m6A in mRNA, low-resolution mapping of m6A in a variety of systems becomes straightforward.

These tools have allowed for extensive characterization of m6A in numerous biological contexts, elucidating roles for m6A throughout mRNA transcript processing and translation. Two mechanisms through which m6A regulates cell biological functions have emerged: (a) coordinated transcriptome turnover through mRNA decay and (b) stimulus-induced translation of specific pools of transcripts in response to cellular and environmental signals. Here, we provide an overview of our current understanding of the roles of chemical modifications in mRNA processing, stability, and translation and how these themes contribute to the maintenance of cell state, embryonic development, stress responses, cancer progression, and viral infection. Though the majority of our mechanistic understanding of mRNA functions is derived from m6A studies, we also discuss what is known about the roles of other mRNA modifications and highlight current challenges in the field.

2. CHEMICAL MODIFICATIONS IN mRNA PROCESSING

In early studies of m6A, treatment of cells with methylation inhibitors increased bovine prolactin intron-containing precursor mRNA (pre-mRNA) four- to six-fold, suggesting a possible connection between m6A methylation and splicing (17). Given the essential roles of chemical modifications in tRNA and rRNA processing, the possibility that modifications could influence mRNA processing has been actively explored. m6A methylation occurs cotranscriptionally, possibly driven by an interaction between the m6A methyltransferase complex and RNA Polymerase II (60, 107), supporting the notion that modifications installed early in the life of a transcript can impact later processing and export steps.

To be translated efficiently in the cytoplasm through canonical cap-dependent mechanisms, transcripts must be capped at the 5′ end and polyadenylated at the 3′ end (Figure 1) (108). The 5′ cap consists of a guanine nucleotide methylated by RNMT at the 7-position (m7G) and connected through a reverse 5′-to-5′ triphosphate linkage (96, 114), often followed by a 2′OMe (67). The m7G-containing cap prevents mRNA degradation from the 5′ end and recruits translation initiation machinery through eukaryotic translation initiation factor 4E (eIF4E) binding (46). 2′OMe at the +1 position has been implicated in self/non-self recognition by the immune system, which viruses can exploit to evade detection (22).

When found at the cap +1 position, Am can be m6A methylated to form m6Am, which exists in roughly 10% of mRNAs in most cells and renders transcripts resistant to decapping by the enzyme DCP2 (86). Recent work nicely shows that cap m6Am is a biologically relevant FTO substrate in cells that modulates transcript stability (86), but the regulation and functional significance of this modification remain unclear. However, other studies challenge the suggestion that m6Am, rather than internal m6A, is the primary substrate for FTO in cells. FTO-mediated m6A demethylation has been clearly demonstrated in subsets of FTO-sensitive acute myeloid leukemia (AML) (76), and inhibition of FTO by R-2HG elevates internal m6A levels on MYC transcripts in some AML lines (110). Notably, m6Am levels in these cell lines are exceedingly low, accounting for only 3–5% of total m6A. In neurons, the GAP43 transcript, which is essential for axon elongation, is initially m6A methylated before being transported to axons (134). After transport, it is demethylated by a local pool of FTO to facilitate protein production, a clear example of cytoplasmic, dynamic demethylation that regulates protein translation. FTO-mediated internal m6A demethylation has also been reported during the DNA damage response (127). Thus far, one laboratory could not observe FTO-mediated internal m6A removal (86), perhaps owing to less sensitive detection, whereas others have shown mRNA m6A demethylation mediated through FTO in diverse biological pathways. Recent work in hepatitis C virus (HCV) has also shown that depletion of METTL3 and METTL14 increases viral particle production, whereas depletion of FTO decreases it (39). In this case, the substrate is clearly internal m6A, as HCV viral RNA does not have a 5′ cap. FTO could possess diverse roles that are not limited either to m6A and m6Am or to mRNA substrates, issues that future work will need to address.

Another essential step in mRNA processing is the addition of the 3′ poly(A) tail. Although initial mapping studies suggested that m6A sites are strongly enriched around the stop codon (28, 89), higher-resolution mapping uncovered numerous m6A sites at the beginning of the last exon (59). m6A appears to be particularly prevalent in long last exons, indicating that m6A may affect proximal alternative polyadenylation site usage and bias a transcript toward using a more distal polyadenylation site. Differential use of polyadenylation sites can influence transcript stability, export, translation, and localization (111), thus potentially connecting m6A to multiple facets of posttranscriptional and translational regulation by influencing polyadenylation site selection.

Once processed, many transcripts must make their way out of the nucleus for translation in the cytoplasm. The nuclear m6A-binding protein YTHDC1 plays a role in splicing (discussed below), but it also possesses additional functions in mRNA export. Fractionation of nuclear and cytoplasmic mRNA revealed accumulation of nuclear m6A-containing YTHDC1 target transcripts upon YTHDC1 depletion (99), suggesting a role in export that may be mediated through direct interaction with SRSF3. Recent work has also uncovered that m5C in mRNA, installed by NSUN2, mediates mRNA nuclear export through ALYREF binding (130). Though nuclear export is considered a broadly required, essential step toward translating mRNA into protein, recent work suggests that export may be selective in some cases (125). Future work will need to address if and how mRNA modifications contribute to these processes.

Equally important in the regulation of gene expression is the proper maintenance and/or induction of gene silencing. A classic example is transcriptional silencing of genes on the X chromosome through the long noncoding RNA XIST, which carries at least 78 m6A sites that appear to be important for its silencing function (92). These m6A sites are recognized by YTHDC1, and loss of gene silencing from loss of m6A methylation is rescued by YTHDC1 tethering, suggesting that this m6A-binding protein is also central to XIST function. One of the preferred consensus sequences for the m6A methyltransferase complex, GGAC, is also enriched in primary-microRNA (pri-miRNA) (but not pre-miRNA) sequences, suggesting a role in miRNA processing. Profiling of m6A sites revealed that miRNAs are indeed marked by m6A and that depletion of METTL3 leads to a global reduction in mature miRNA levels (3).

Early m6A mapping studies suggested an association between m6A and alternative splicing on the basis of splicing differences observed upon depletion of METTL3 (28). Although the generality of m6A-mediated splicing regulation is a legitimate question (60), examples in multiple organisms suggest that m6A can influence splicing in specific instances. In Drosophila melanogaster, m6A controls sex-specific alternative splicing events through the m6A-binding protein YT521-B (44, 68). Flies lacking the METTL3 homolog Ime4 are viable, but demonstrate flight and locomotion defects as well as a bias toward maleness. m6A is required for female-specific alternative splicing of Sex lethal (Sxl), which normally inhibits ectopic dosage compensation and female lethality. Even though Ime4 loss does not globally affect splicing, approximately 100–200 genes demonstrate alternative splicing patterns.

In mammals, numerous RNA-binding proteins, including those of the HNRNP family, are required for proper mRNA processing. HNRNPC is broadly involved in mRNA splicing and processing and was pulled out of cellular extract owing to its preferential binding to the m6A-containing MALAT1 hairpin (82). m6A methylation destabilizes A-U base-pairing in the hairpin, exposing the HNRNPC binding sequence to enhance binding (Figure 2). Intriguingly, these m6A-switch regions may be involved in alternative splicing, but given that they account for only ~7% of HNRNPC binding sites, m6A is likely just one of several mechanisms through which HNRNPC regulates splicing.

Figure 2.

Figure 2

Mechanisms of m6A-mediated regulation. m6A installation and removal are regulated by the nuclear METTL3/METTL14 methyltransferase complex and the demethylases FTO and ALKBH5, respectively. In the nucleus, HNRNPC and YTHDC1 likely regulate m6A-mediated splicing, processing, and export. In the cytoplasm, YTHDF1 enhances cap-dependent translation, eIF3 induces cap-independent translation through m6A binding, and YTHDF2 regulates m6A-dependent mRNA decay. YTHDC2 appears to affect both decay and translation. YTHDF3 may be involved in some of these processes, in particular, m6A-mediated translational regulation. Abbreviations: 40S, small ribosomal subunit; eIF3, eukaryotic initiation factor 3; FTO, fat mass- and obesity-associated protein; pre-mRNA, precursor mRNA.

SAM is the methyl donor for most cellular methylation reactions, and it is critical that cells tightly regulate its levels. SAM synthetase is encoded by the MAT2A gene, which accumulates with a retained intron in the nucleus and is degraded under SAM-replete conditions. Rapid binding and m6A methylation of MAT2A by METTL16 promote intron retention (93). Upon SAM depletion, however, METTL16 cannot efficiently methylate MAT2A, and as such, its dwell time on the transcript increases and facilitates splicing through specific regions conserved across vertebrates. Notably, the conserved hairpins on which MAT2A is methylated bear striking similarity to U6 small nuclear RNA (snRNA), which has long been known to be m6A methylated. Cross-linking and analysis of cDNA suggest that METTL16 binds additional mRNA, long noncoding RNA, and noncoding RNA targets, but whether METTL16 methylates these targets and the potential functional consequences of that methylation remain to be characterized (120). Though the function of U6 snRNA methylation remains unclear, its central role in splicing leaves open the possibility of another connection between m6A methylation and splicing.

Though most m6A-binding YTH-family proteins are primarily cytoplasmic, the fifth family member, YTHDC1, is nuclear, and recent studies have shed light on its putative function. Xiao et al. conclude that YTHDC1 alters splicing by favoring exon inclusion through direct interaction with SRSF3 and via competition with another splicing factor, SRSF10 (128). A recent study mapping m6A in nascent RNA is consistent with this model and finds that cotranscriptional deposition of m6A near splice junctions promotes faster splicing (83). Another study confirmed that SRSF3 interacts with YTHDC1, but the splicing changes observed upon depletion of YTHDC1 were limited and were not strongly correlated with the presence of m6A (99). Additional results from this work suggest roles for YTHDC1 in mRNA export. Splicing is a fundamental nuclear process that is affected by numerous pre-mRNA processing steps, including nuclear export and retention. It is likely that m6A influences mRNA splicing, directly or indirectly, through these various mechanisms.

However, the reported changes in splicing patterns upon knockdown of the methyltransferase METTL3 (28, 82, 138) and the presence of m6A methylation at splice sites (128, 138) have been questioned (60). Recent analysis of chromatin-associated, nuclear, and cytoplasmic nascent RNA from HeLa cells suggests that m6A is deposited cotranscriptionally regardless of whether splicing has occurred and that m6A is not deposited particularly close to splice sites (60). This work also concluded that m6A is not frequently deposited in introns, whereas other studies suggest that it could be quite prevalent in introns (83) and that the METTL3/METTL14 methyltransferase complex binds to intronic regions (81). These discrepancies will require further studies of m6A methylation throughout transcription, including a thorough characterization of how specific sites are selected for m6A methylation (as only approximately 20% of consensus sequences are methylated); the cause-and-effect relationships between m6A and splicing will also need to be dissected. The examples of m6A-mediated splicing changes described above are critical in response to developmental cues and cellular signals, which are dynamic and context specific. It is likely that m6A-mediated regulation is not a general feature of constitutive splicing, but instead is a mechanism through which the cell can alter splicing in response to specific stimuli. This is notably similar to m6A-mediated regulation of transcript turnover and translation, discussed in detail below, which is induced in response to specific signals.

3. REGULATION OF mRNA STABILITY

Transcript half-life can be a major contributing factor in determining protein expression levels, and rapid changes in transcript stability in response to stimuli can be critical to mounting the appropriate cellular response. mRNA modifications can influence transcript stability by a variety of mechanisms, through their effects on local RNA structure and their ability to recruit binding proteins to specific transcripts. The m6A-binding protein YTHDF2 targets several thousand transcripts, whose half-lives increase upon YTHDF2 knockdown (117). The extent of stabilization is correlated with the number of m6A sites. YTHDF2 may direct these transcripts to mRNA decay sites and can recruit the CNOT/CCR4/CNOT1 complex to promote deadenylation and decay (Figure 2) (31). YTHDF2 colocalizes with DCP1a, a marker of P-bodies, which have been associated with mRNA decay, among other functions (117). This mode of m6A-mediated mRNA degradation may represent a fundamental mechanism for coordinated transcriptome turnover, with critical roles that have already been demonstrated in embryonic development (53, 137) and cellular differentiation (37, 71, 132, 135). During zebrafish development, for example, knockout of ythdf2 results in delayed clearance of m6A-methylated transcripts, delaying activation of zygotic genes during the maternal-to-zygotic transition (137). Later in development, m6A methylation on endothelial genes notch1a and rhoca is required for their YTHDF2-mediated decay during the endothelial-to-hematopoietic transition, and loss of YTHDF2 prevents specification of hematopoietic stem/progenitor cells (135). Ythdf2 knockout mice are infertile because germ cells fail to undergo meiosis (53), and numerous cell types require the assistance of m6A to decay specific transcripts for proper differentiation (37, 71, 132, 135).

m6A is not purely a mark for RNA degradation, however. In the case of MLL-rearranged AML, high expression of the demethylase FTO reduces m6A levels on the key ASB2 and RARA transcripts and, yet, reduces their half-lives (76). A YTHDF2-mediated mechanism would likely manifest as an increase in half-life upon reduction of m6A levels; expectedly, knockdown of YTHDF2 had no effect on ASB2 and RARA transcript levels. The insulin-like growth factor 2 mRNA-binding proteins (IGFBP1, IGFBP2, and IGFPB3) represent a newly identified class of m6A-binding proteins that may confer increased stability to m6A-containing transcripts (50). This may occur through interactions with IGFBP effectors, such as HUR, which could protect IGFBP-bound transcripts from degradation. Only approximately 30% of IGFBP target genes overlap with YTHDF2 target genes, suggesting that these proteins may regulate distinct pools of transcripts. It remains to be determined, however, how selectivity is achieved, because both YTHDF2 and the IGFBPs recognize a canonical m6A sequence motif, GGACU. They have relatively different expression profiles, suggesting that their functions may predominate in different tissues or under different cellular conditions. It is clear, however, that the effect of m6A on transcript stability depends on a multitude of factors, likely including sequence context, cell state and/or environmental conditions, and the expression of m6A demethylases and m6A-binding proteins.

Though m6A is arguably the best-characterized modification from a mechanistic standpoint, it is likely not the only one that influences transcript stability. Using a chemical modification strategy to induce reverse transcription stops, hundreds of Ψ sites have been mapped in yeast and mammalian transcriptomes (16, 75, 84, 103). In yeast, some of these sites can be attributed to Pus7p activity, which induces pseudouridylation of 265 sites upon heat shock (103). Under heat shock conditions, pseudouridylated genes are expressed at approximately 25% higher levels in wild-type strains than in a Pus7p mutant strain (whereas nonpseudouridylated transcripts are expressed at similar levels), suggesting that Ψ may have an effect on transcript stability. Notably, however, there is no discernible correlation between the number of Ψ sites and the extent of the expression change, so whether this effect is direct remains unclear.

Our current understanding of m6A-mediated regulation of transcript stability centers primarily on the YTHDF2-dependent degradation mechanism described above, which directs coordinated transcriptome processing and turnover in multiple settings. This provides a regulated and efficient route to the decay of specific transcripts in response to cellular signals that proves to play important roles in numerous biological systems, and more such examples are likely to be uncovered as m6A continues to be studied more broadly. There are likely other stability control pathways to be uncovered, with respect to both other m6A-binding proteins and transcript modifications. Indeed, there is evidence that m6A may be involved in RNA interference and miRNA-mediated transcript degradation in response to cellular stresses (2, 64).

It has become clear that in addition to the extensive transcriptional control required to direct cells and organisms through differentiation and development, specific pools of transcripts must also be decayed in a timely manner to effectively suppress the expression of pluripotency factors (Figure 3a). Layers of complexity are added to this problem by the intriguing possibility that m6A in different contexts may also mediate increased transcript stability, likely driven by the interplay among changing expression levels of m6A methyltransferases and demethylases and m6A-binding proteins under different conditions. How other mRNA modifications will contribute to this paradigm remains unclear. For instance, from a chemical perspective, 2′OMe enhances RNA stability, making it more resistant to alkaline hydrolysis and nucleolytic attack (66). However, whereas its distribution in mRNA was recently uncovered using a chemical strategy (23) and it is known that C/D-box small nucleolar RNA-guided Fibrillarin installs it on rRNA (63, 113), its function in mRNA and any potential effect on stability remain to be elucidated.

Figure 3.

Figure 3

Mechanisms of m6A-mediated transcriptome turnover and translation. (a) m6A marks transcripts required for maintaining a pluripotent state in numerous stem cell types. For differentiation to proceed, these transcripts must be degraded, presumably to minimize continued production of pluripotency factors. Cell type–specific factors must then be transcribed and translated to guide cells to the proper cell fate. In stem cell populations, loss of m6A often manifests as a block in differentiation, as pluripotency factors remain expressed at high levels. In cancer, loss of m6A can result in elevated levels of oncogenic factors to drive cancer progression, but this is not a general mechanism in all cases. (b) m6A can regulate translation of specific pools of transcripts under stress conditions. Under normal conditions, cap-dependent translation is heavily relied on to produce protein in the cell, and m6A-binding proteins such as YTHDF1 may contribute in some cases. Under heat shock stress, however, cap-dependent translation is compromised, yet the cell needs to efficiently translate specific factors such as HSP70. By recruiting eIF3, m6A can facilitate cap-independent translation of key transcripts in the heat shock response. Abbreviations: 40S, small ribosomal subunit; DF1, YTHDF1; eIF3, eukaryotic initiation factor 3; M3/M14, METTL3/METTL14; PABP, poly(A) binding protein; Pol II, Polymerase II.

4. TRANSLATIONAL CONTROL THROUGH mRNA MODIFICATIONS

4.1. Recruitment of Translation Machinery by RNA Modifications

Changes in transcript stability can indirectly influence protein production, but recent work has highlighted that mRNA modifications can also more directly recruit translation machinery. The mRNA cap structure that is so critical for efficiently translating many transcripts contains a modification in its own right: m7G binds directly to eIF4E, a component of the eIF4F complex that recruits the 43S preinitiation complex (108) and the CBP20/CBP80 complex, which is involved in mRNA processing, export, and translation (54). In an in vitro assay with purified components, a reporter containing an m6A-methylated β-globin 5′ untranslated region (UTR) with a short coding sequence was successfully translated even in the absence of the normally essential group-4 eIFs (88). m6A in the 5′ UTR can directly bind eIF3 (Figure 2), and through ABCF1, it mediates ternary complex binding to facilitate cap-independent translation (21). Notably, in contrast to translation mediated by an internal ribosome entry site, the same pool of transcripts can undergo both cap-dependent and cap-independent translation, shifting between the two depending on cellular status. This mechanism is likely crucial for cells to respond to stress, when cap-dependent translation is compromised. Upon heat shock, newly transcribed RNAs are m6A methylated in the 5′ UTR (141). These m6A sites are recognized by YTHDF2 that translocates from the cytoplasm to the nucleus upon heat shock, limiting accessibility to the FTO demethylase such that these sites remain methylated. Upon export to the cytoplasm, these methylated transcripts, including Hsp70, can then be translated in a cap-independent manner, allowing for increased Hsp70 production under conditions where cap-dependent translation is compromised (Figure 3b). By this mechanism, m6A can coordinate stimulus-induced translation of transcripts that allows the cell to respond to heat shock. It remains to be seen whether this mechanism is relevant in response to other stresses or cellular signals.

Association between proteins bound to the cap on the 5′ end and the poly(A) tail on the 3′ end is a well-established paradigm of translational regulation. Many mRNA 3′-end-binding proteins, such as poly(A) binding protein, regulate translation by such a “looping” mechanism (108). The m6A-binding protein YTHDF1 binds to the 3′ ends of transcripts and enhances the translation efficiency of its targets, possibly through such a looping interaction between YTHDF1 and eIF3 cap-binding components (Figure 2) (118). The molecular details of YTHDF1 function remain unclear, but another m6A-binding protein, YTHDF3, may be involved (70, 106). FMR1 was recently found to preferentially bind m6A. It also has some shared targets with YTHDF1 but inhibits translation (34). YTHDF1 and FMR1 may compete for some of the same targets, shifting the balance between translational enhancement and inhibition under different conditions. However, although YTHDF1-mediated translation upregulation has been robustly demonstrated in HeLa cells, its roles in promoting translation in other cells such as MCF7 and HEK293 cells have not been observed (107). The possibility that the effect may depend on cell type and context led us to investigate more deeply the functions of YTH-domain-containing proteins. mRNA methylation-dependent regulation most likely occurs in response to cellular and environmental cues to allow for rapid responses through specific sets of transcripts. Thus far, YTHDF2-mediated mRNA decay seems to play more significant roles during differentiation and may be less relevant under other growth conditions. Similarly, YTHDF1-mediated regulation of translation may occur in a cell- and stimulus-specific manner, as recently demonstrated in adult mouse dorsal root ganglion in response to injury (124).

Circular RNAs (circRNAs) were long thought to be rare splicing by-products; however, detailed analysis of high-throughput sequencing data has recently revealed that they may be more prevalent (101). A subset of circRNAs are m6A methylated, apparently also by the METTL3/METTL14 methyltransferase complex, but interestingly many circRNA m6A peaks appear in exonic regions that are not methylated in mRNA (140). m6A methylation of a GFP-containing circRNA reporter promotes translation through a mechanism involving eIF4G2 and YTHDF3 (131). Even though this represents an artificial system and the broader functions of circRNAs remain unclear, this study did uncover polysome-bound circRNAs as well as circRNA-derived peptides through proteomics studies. Thus, some circRNAs could be translated, and m6A could modulate circRNA function through YTHDF3.

In addition to the temporal regulation of translation in response to stimuli, m6A may also represent a simple mechanism for spatial control of protein translation. Localized translation of growth-associated protein 43 (GAP43) is essential for axon elongation. GAP43 transcripts are initially m6A methylated but must be demethylated by a local pool of FTO in the axon to facilitate protein production (134). This report is an early example of a specific mRNA modification regulating localized translation. Because RNA localization coupled to local translation is critical for establishing and maintaining cell polarity in a variety of settings (87), we anticipate that more such examples will surface in the future.

4.2. Alternative Decoding Through mRNA Modifications

RNA modifications on mRNA as well as tRNA and rRNA have the ability to directly influence mRNA decoding during peptide synthesis. Modifications in the anticodon loop of tRNAs can influence codon-anticodon interactions and can thereby introduce codon usage bias to enhance translation of transcripts with high levels of those codons, particularly in response to cellular stress (10, 41). Similarly, modifications on transcripts may alter translation efficiency and/or decoding. In an AML model, promoter-bound METTL3, recruited by the transcription factor CEBP2, methylates transcripts within coding regions with a preference for specific codons (7). This methylation can relieve stalled ribosomes, thereby increasing translation efficiency.

In vitro translation experiments reveal that Ψ may be able to function in a similar way, suppressing translation termination by isomerizing uridines in stop codons to Ψ (58). An engineered reporter/guide RNA system in Saccharomyces cerevisiae confirms that this mechanism can function in the context of a cell, but the broader functional relevance of this potential recoding remains unclear. Particularly intriguing, however, is the possible clinical application of such a system, given that many genetic diseases are attributed to premature termination codons that compromise the production of functional protein. Inducing translation machinery to read through premature stop codons by modifying transcripts might provide a means to improve read-through and, thus, functional protein production for therapeutic benefit. In contrast, 2′OMe in coding regions can induce a steric clash that delays EF-Tu GTPase activation, stalling translation (20). In vitro translation studies of other modifications, including m1A, m6A, m1G, m2G, and m6G, suggest that the presence of these modifications on mRNA can also modulate tRNA accommodation and decoding, sometimes in a position-dependent manner within a codon (19, 20, 133).

Modifications on tRNA and rRNA, critical components of translation machinery, have long been known to influence protein production via many mechanisms. Proper processing and maturation of these RNAs require numerous modifications, and misregulation can affect the amount and composition of available translation machinery in the cell. In the ribosome, rRNA modifications tend to occur on conserved residues in functional regions such as the decoding site where tRNAs translate mRNA sequence and near the catalytic peptidyl transferase center (104). Similarly, tRNA modifications, particularly in the anticodon loop, can influence translation speed and fidelity as well as codon usage (41, 47). We now know that mRNA modifications can play similar roles, particularly in decoding, and it will be interesting to see whether there is direct interplay between mRNA and tRNA modifications (particularly involving the anticodon loop) or whether they represent parallel or redundant mechanisms of translational regulation in the cell.

5. m6A REGULATES CELLULAR DIFFERENTIATION

As research on mRNA modifications expands into different systems, it is becoming clear that coordinated transcriptome turnover and translational regulation represent general mechanisms by which m6A in mRNA contributes to cell fate and differentiation. Throughout embryonic development, cells must undergo numerous transitions, responding to signals to both differentiate and proliferate in a spatiotemporally controlled manner. This requires extensive coordination of transcription, transcriptome processing and turnover, and translation to ensure that each cell expresses the appropriate complement of genes for the appropriate period of time.

The first clue that such coordination does indeed occur came from knockout of the m6A methyltransferase Mettl3 in mouse embryonic stem cells. Knockout cells are unable to differentiate and instead maintain a naive pluripotent state (Figure 3a). Many transcripts essential for maintaining pluirpotency, including Nanog, are m6A methylated and have increased half-lives upon Mettl3 knockout. This hyper naive pluripotent state is resistant to differentiation and eventually results in embryonic lethality in the animal (8, 37). Many features observed in the mouse are conserved in human embryonic stem cells, including methylation of pluripotency-specific factors and the inability of METTL3−/− embryonic stem cells to differentiate (8).

Although we have far from a complete understanding of how m6A methylation is involved in embryonic development, the early lethality caused by Mettl3 knockout in mice suggests essential contributions. This may be connected to the many functions of m6A that have been uncovered in the mammalian germline. Even prior to detailed characterization of the METTL3/METTL14 methyltransferase complex, knockout mice of the m6A demethylase Alkbh5 were found to have smaller testes and impaired spermatogenesis, possibly owing to aberrant gene expression (139). Similarly, Ythdc2−/− mice are viable but infertile, likely a result of aberrant upregulation of genes specific to spermatogonial stem cells, such that germ cells fail to undergo meiosis (6, 49, 126). Although Ythdc2 is also expressed in oocytes, its role in female fertility remains to be characterized. A second m6A-binding protein, Ythdf2, is highly expressed in both testes and oocytes, and when deleted in oocytes, it prevents the necessary elimination of a subset of transcripts required to maintain gene dosage during maturation (53). Mettl3−/− and Mettl14−/− mice also have spermatogenesis defects (79), but the fact that Ythdf2−/− mice exhibit less severe phenotypes suggests that additional m6A-mediated mechanisms are likely involved in the early stages of mammalian development.

This theme extends to many other stem cell types, where decay of specific transcripts is critical for differentiation. When transferred to lymphopaenic mice, Mettl3−/− naive T cells fail to undergo homeostatic expansion and maintain a naive state (71). This is partially attributed to a failure of m6A-methylated Socs1, Socs3, and Cish transcripts to be decayed, inhibiting IL-7-mediated STAT5 activation. Conditional knockout of Mettl14 in the nervous system results in extended cortical neurogenesis into the postnatal stages, resulting in a delay in production of neuronal subtypes (132). Loss of m6A on pools of transcripts required for neural stem cell maintenance, cell cycle progression, and neuronal differentiation prevents timely transcript turnover, lengthening cell cycle progression. Consistent with this, recent work in Ythdf2−/− mice also found loss of neural stem cell progenitor proliferation resulting from delayed transcript clearance, leading to impaired cortical development (72). Notably, many neuronal lineage genes are already expressed in stem cells, but until required, they are suppressed by m6A-dependent decay, suggesting that m6A may be involved in transcriptional prepatterning in the spatiotemporal regulation of gene expression (Figure 3a).

The field has now uncovered numerous systems where m6A is critical for cellular differentiation. Interestingly, in the majority of these cases, the phenotype is attributed to loss of m6A on specific transcripts that need to be degraded for differentiation to proceed, but we suspect this is only one factor contributing to the observed phenotypes. m6A-mediated translational regulation has yet to be found to contribute to these phenotypes. Coordinated transcriptome turnover through m6A methylation has emerged as a new facet of gene expression regulation during cell differentiation, but nuclear roles of m6A may also be critical to the observed phenotypes (7, 119).

6. RNA MODIFICATIONS IN HUMAN DISEASE

6.1. mRNA Methylation and Demethylation in Cancer

Given the strong ties between mRNA modifications and stem cell fate, it is no surprise that connections to cancer are emerging as well. Gene expression analysis in human AML samples found that FTO is highly expressed in a subset of MLL-rearranged AML subtypes. High levels of the FTO demethylase accelerate leukemogenesis in these AML cells, at least in part owing to FTO/m6A-mediated expression regulation of ASB2 and RARA, two key genes that are upregulated during hematopoiesis (76). High expression of FTO downregulates ASB2 and RARA by reducing their m6A levels. Notably, this is in contrast to the observation that, in many cases, a reduction in m6A levels on a specific transcript results in upregulation of gene expression due to decreased decay rates. A new class of m6A-binding proteins, IGF2BP1–3, that may mediate this effect has also been identified (50). This dependence of subsets of AMLs on the FTO demethylase may be exploited, as FTO can be effectively inhibited by R-2-hydroxyglutarate (R-2HG). R-2HG is a reported oncometabolite, produced by the neomorphic activity of mutant isocitrate dehydrogenase enzymes. In AMLs with high levels of FTO demethylase, however, R-2HG inhibits FTO activity and thus elevates m6A levels on proliferation-promoting transcripts such as MYC, thereby reducing MYC mRNA half-life through a YTHDF2-dependent mechanism (110). Hyperactivated MYC, however, overwhelms FTO-mediated regulation, so R-2HG does not inhibit proliferation in cells with high MYC expression. These two studies highlight the complexity of m6A-mediated regulation of gene expression, as even when looking at the same general class of disease (AML), we can observe opposite effects of m6A on the stability of different transcripts and on cell proliferation.

The m6A methyltransferase complex components METTL3 and METTL14 have also been implicated in AML in three independent studies (7, 116, 123). Promoter-bound METTL3 can be recruited by the CEBP2 transcription factor to methylate transcript coding regions, enhancing translation efficiency by relieving stalled ribosomes (7). Higher levels of METTL3 protein expression in AML may also inhibit hematopoietic stem/progenitor cell differentiation through an m6A-induced boost in translation of c-MYC, BCL2, and PTEN transcripts (116). Consistent with this, silencing METTL14 promotes differentiation of both hematopoietic stem/progenitor cells and AML cells, likely through targets such as MYC and MYB (123). In these three studies, m6A appears to promote expression and translation of oncogenic transcripts, but recent work on glioblastoma reveals that ALKBH5-mediated demethylation enhances FOXM1 expression and ALKBH5 depletion is sufficient to inhibit tumorigenesis (136). Thus, although m6A-mediated gene expression regulation can be hijacked to activate oncogenes, the mechanisms will likely vary depending on the type of cancer and the genetic background in which it occurs.

6.2. mRNA Modifications in Viral Infection

Around the same time it was initially described in mRNA in the 1970s, m6A methylation was detected in RNA from numerous viruses, including B77 avian sarcoma virus, Rous sarcoma virus, simian virus 40, influenza, and adenovirus (9, 15, 27, 43, 65). As with the recent explosion in work on mRNA modifications, however, the functions of these modifications have only recently begun to be elucidated. Viruses hijack host cell machinery during infection and replication. HIV-1 uses host tRNALys3 as a primer for minus-strand strong-stop synthesis and then exploits m1A methylation at position 58 in tRNALys3 to properly terminate plus-strand strong-stop synthesis (38, 98).

As our understanding of the machinery that regulates m6A methylation of mRNA has improved, it has become clear that viruses can also utilize this machinery for their own purposes and that hosts may exploit viral RNA modifications to suppress infection. Three studies looking at m6A in HIV-1 found multiple m6A peaks in HIV-1 RNA that are critical for infection (61, 77, 112). Whereas the influence of the YTH-domain-containing proteins remains at odds among the three studies (85), depletion of the METTL3/METTL14 methyltransferase complex consistently inhibits viral replication and release.

Recent work on HCV has yielded some intriguing mechanistic insights into how viruses might utilize m6A machinery. Depletion of METTL3 and METTL14 increases viral particle production; conversely, depletion of the demethylase FTO decreases it (39). Upon infection, YTHDF1, YTHDF2, and YTHDF3 localize to the lipid droplets that function as sites of viral assembly. Depleting these proteins increases viral particle production and release, likely via a specific region of the HCV genome that, when depleted of m6A, increases viral titer. Intriguingly, this region is conserved across many flaviviruses, suggesting that this mechanism of m6A-mediated regulation of viral replication may be conserved across this family of viruses. Similar effects were seen in Zika virus, another member of the Flaviviridae family (78).

Though current studies have been limited primarily to m6A, it is becoming clear that viruses easily co-opt the mechanisms used by the host cell to regulate the transcriptome through mRNA modifications. This may involve mislocalization of mRNA modification machinery to sites of viral replication, which may, in turn, expose this machinery to host substrates that it would not normally encounter. Host cells may also utilize RNA modifications to respond to viral infection. When differences in host transcript methylation are measured, it will be interesting to disentangle whether transcripts are differentially methylated as a regulated response to viral infection or whether they represent nonspecific methylation events induced by mislocalization of m6A machinery.

7. TECHNICAL CHALLENGES SPARK CONTROVERSY: m1A AND m5C

The 5′ UTR is a critical regulatory region in regulating transcript translation (46, 69), so it was particularly intriguing when two studies showed that m1A could be found on the 5′ ends of thousands of mRNA transcripts, near the first splice site (29, 73). These studies failed to identify a preferred sequence motif. Yet, Dominissini et al. (29) found that m1A tends to occur in regions with higher GC content and more predicted structure and that proteins derived from transcripts with m1A near the start codon tend to have slightly elevated protein expression levels relative to non-m1A transcripts. Importantly, however, the average stoichiometry of m1A methylation appears to be 20%, so it cannot be discerned from the proteomics data whether the elevated protein levels are derived from the methylated or unmethylated transcript pools. Both studies (29, 73) also found that m1A, like many other RNA modifications, is dynamic in response to stresses such as heat shock and nutrient starvation, suggesting that m1A may represent a way to regulate protein translation. Suggesting a functional connection that has yet to be elucidated, a recent computational study identified a common class of transcripts depleted of introns in the 5′ UTR that share features such as more extensive secondary structure, a greater dependence on eIF4E for translation, endoplasmic reticulum–proximal ribosome association, noncanonical exon-exon junction complex deposition, and m1A methylation (18). While this study suggests that m1A may be a characteristic feature of a group of functionally related transcripts, it remains correlative and the common functional connection remains unknown.

Aiming to improve the resolution of m1A maps using a thermostable group II intron reverse transcriptase (TGIRT) (91), two studies have opposing views of the role of m1A in the transcriptome (74, 100). Both agree that a small subset of m1A sites within a tRNA-like motif appear to be regulated by the TRMT6/61A tRNA m1A methyltransferase and that m1A may play some interesting roles in mitochondrial mRNA. To look at the transcriptome more broadly, Safra et al. (100) utilized TGIRT to introduce mutations at m1A sites and the Dimroth chemical rearrangement to convert m1A to m6A to reduce the mutation rate as a control. This method led them to identify only 10 sites in cytosolic mRNA transcripts, resulting in speculation on the prevalence and role of m1A in mRNA (40). This work does suggest, however, that m1A at these sites may inhibit translation. In contrast, utilizing the same TGIRT enzyme but under optimized conditions and using AlkB-mediated demethylation to reverse mutations, Li et al. (74) identified 740 m1A sites. In large part, this discrepancy is likely due to the technical challenges involved in working with both TGIRT and m1A. Suboptimal conditions for reverse transcription as well as the harsh conditions required for Dimroth rearrangement that cause RNA degradation likely dramatically reduced the ability of the study by Safra et al. (100) to identify less abundant sites. In addition, Li et al. (74) incorporated adaptors with unique molecular identifiers to eliminate PCR duplication during analysis. Thus, though the two studies implement conceptually similar methodologies, differences in actual execution likely affected the mutagenicity of the enzyme, RNA integrity, and data analysis in ways that could dramatically alter their conclusions (30). Furthermore, mass spectrometry–based quantification of m1A in mammalian cell lines by three different laboratories revealed levels of m1A at approximately 5–10% of the level of m6A in mRNA samples (29, 73, 129). This cannot be accounted for with the very few sites noted in Safra et al. (100). Moving forward, uncovering the functional roles of m1A, particularly in stress responses where it is dynamic, will be critical.

m5C has garnered significant attention as an epigenetic mark in DNA, but it was also identified along with other modifications in early analyses of mRNA (32). Despite interest in mapping m5C sites in mRNA, the bisulfite sequencing–based methods that revolutionized DNA methylation studies require harsh conditions that are detrimental to RNA samples. Nevertheless, many groups have tried with mixed results to adapt the principles of bisulfite sequencing to RNA samples. Initial work uncovered approximately 10,000 m5C sites throughout the transcriptome using a bisulfite sequencing–based approach (109). Subsequent attempts leveraged a chemical analog (5-azacytidine) (62) or a mutated methyltransferase (NSUN2) (52) to capture modified RNAs, which dropped the number of identified m5C sites to range between a few hundred and 1,000. Of the known m5C RNA methyltransferases, including DNMT2 and NSUN1–6 in mammals, only NSUN2 seems to have a broad substrate specificity that encompasses tRNAs, other noncoding RNAs, and a few mRNAs. Recently, a comparative study was undertaken to profile m5C sites in mouse embryonic stem cells and brain tissue utilizing a combination of bisulfite sequencing with validation of conversion by mass spectrometry and of specific targets by immunoprecipitation followed by quantitative PCR (4). This work went further than previous analyses, looking in more detail at the distribution of m5C sites along transcripts as well as overlaps with known RNA-binding-protein binding sites, revealing a distribution enriched around start codons. Recent work also suggests a role for m5C in nuclear export through ALYREF (130). An additional layer of complexity is introduced if Tet regulates m5C levels. In flies, Tet-mediated oxidation of m5C to 5hmC is critical in brain development (25), and in mammalian cells, Tet2 promotes myelopoiesis during infection (105).

The biological functions of m1A, m5C, and other modifications in mRNA remain open questions, in large part because we do not understand the molecular mechanisms that underpin their regulation and function and because we are still limited by the sensitivity of sequencing technology. For instance, even though recent studies uncovered three enzymes that may methylate a very small portion of m1A sites, most sites from the initial m1A maps and the latest work by Li et al. (74) remain unaccounted for in terms of the methyltransferase responsible for installing them. The possibility that these modifications are installed by other tRNA and rRNA methyltransferases should continue to be tested. The resolution and robustness of sequencing methods should continue to be improved, but biochemical studies of m1A, m5C, and other modifications also need to be undertaken so that molecular mechanisms can be uncovered and biological impact can be explored in a causative way. Although sequencing-based studies have been incredibly powerful in exposing the breadth of these chemical modifications in mRNA, they are inherently limited by their correlative nature, making function difficult to assess. Finally, it is critical to recognize that RNA could be localized to specific cellular compartments. As such, the overall modification levels could be quite low, but specific transcripts could be enriched in specific compartments or granules to impact cellular function. This is an understudied aspect of mRNA modifications that may be particularly relevant with less abundant modifications.

8. CHALLENGES AND FUTURE DIRECTIONS

The two examples highlighted above, m1A and m5C, illustrate one of the major challenges in studying the epitranscriptome—the development of high-throughput, high-resolution approaches to map the broad range of chemical moieties that are likely harbored in the transcriptome. Currently, many approaches rely on enrichment with modification-specific antibodies. Although this strategy is relatively simple to implement, cross-reactivity is always a concern, and sites are not mapped at high resolution. Cross-linking-based methods can improve resolution (80), but they remain antibody based and do not overcome specificity issues. In some cases, specific chemical properties can be exploited to design higher-resolution mapping strategies. This type of strategy has been exploited to map Ψ, 2′OMe, and m5C, but it comes with its own risks. Recent work has focused on exploiting the mutagenicity of reverse transcriptase enzymes to map modifications at singlebase resolution by quantifying mutation rates. Two recent studies implemented one such enzyme, TGIRT (91), to map m1A sites (74, 100). As discussed above, however, technical differences led to dramatically different conclusions, underscoring the need for optimization and quality control. This strategy of developing new reverse transcriptases has been extended to m6A as well, though these enzymes have not yet been implemented widely (5, 42). To allow for direct detection of RNA modifications in long reads, researchers are also developing new RNA sequencing technologies such as the Oxford Nanopore and SMRT sequencing platforms (36, 115), which would eliminate many of the issues noted above. Moving forward, methods development will need to focus on a few key areas, namely improving resolution, generating quantitative data on modification fraction, and reducing the amount of input material required to enable profiling of rare cell populations and patient samples. Regardless of the mapping method used, increased emphasis should be placed on the validation of identified sites through orthogonal biochemical assays.

Although much focus is being placed on the development of sequencing methods, tools and assays that dissect the functions of these modifications in the cell will be equally important to develop to drive progress in the field. Developing new imaging tools and implementing biochemical methods to isolate RNA from specific subcellular compartments will help reveal how transcripts at specific cellular sites can impact function. We know many of the enzymes and regulatory proteins responsible for the regulation of m6A in mRNA. However, for other modifications, substantial work remains to identify enzymes with the relevant activity and to map their binding sites throughout the transcriptome and at specific subcellular locations. We also currently have limited ability to assess mRNA modification levels and function in cellular assays, further limiting our ability to probe directly the functional consequences of modifications in specific transcripts under changing cellular conditions. By leveraging the large amount of information we gain from high-throughput sequencing data on the sequence contexts of these modifications, it may be possible to develop novel imaging-based approaches and cellular reporters that will allow direct monitoring of modifications in real time.

The past eight years have yielded tremendous progress toward understanding how chemical modifications on mRNA influence cell biology. Much of this work has been focused on m6A, revealing its essential roles in coordinated transcriptome turnover and stimulus-induced translation. Examples of these regulatory paradigms in action have now been found throughout embryonic development, in stem cell differentiation, and in stress responses, and they have been coopted during cancer progression and viral infection. Importantly, these examples have been found in numerous organisms including yeast, flies, zebrafish, mice, and humans, suggesting that these modes of regulation may be evolutionarily conserved across eukaryotes. It remains to be seen whether the other modifications more recently found in mRNA have similar functions and mechanisms or whether their distinct chemical properties endow them with entirely different functions. It is clear, however, that a wealth of new RNA biology that will reveal novel layers of gene expression regulation remains to be uncovered.

ACKNOWLEDGMENTS

We apologize to colleagues whose work was not cited owing to space limitations. This work was supported in part by the National Institutes of Health grant RM1HG008953 (C.H.). C.H. is an investigator of the Howard Hughes Medical Institute (HHMI). S.N. is an HHMI Fellow of the Damon Runyon Cancer Research Foundation (DRG-2215-15).

Footnotes

DISCLOSURE STATEMENT

C.H. is a scientific founder and a member of the scientific advisory board of Accent Therapeutics, Inc.

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