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. Author manuscript; available in PMC: 2023 Nov 15.
Published in final edited form as: Mol Psychiatry. 2023 Mar 15;28(4):1440–1450. doi: 10.1038/s41380-023-02028-9

Epigenetic and epitranscriptomic regulation of axon regeneration

Yating Cheng 1,2, Hongjun Song 3,4,5,6, Guo-li Ming 3,4,6,7,, Yi-Lan Weng 1,2,
PMCID: PMC10650481  NIHMSID: NIHMS1940585  PMID: 36922674

Abstract

Effective axonal regeneration in the adult mammalian nervous system requires coordination of elevated intrinsic growth capacity and decreased responses to the inhibitory environment. Intrinsic regenerative capacity largely depends on the gene regulatory network and protein translation machinery. A failure to activate these pathways upon injury is underlying a lack of robust axon regeneration in the mature mammalian central nervous system. Epigenetics and epitranscriptomics are key regulatory mechanisms that shape gene expression and protein translation. Here, we provide an overview of different types of modifications on DNA, histones, and RNA, underpinning the regenerative competence of axons in the mature mammalian peripheral and central nervous systems. We highlight other non-neuronal cells and their epigenetic changes in determining the microenvironment for tissue repair and axon regeneration. We also address advancements of single-cell technology in charting transcriptomic and epigenetic landscapes that may further facilitate the mechanistic understanding of differential regenerative capacity in neuronal subtypes. Finally, as epigenetic and epitranscriptomic processes are commonly affected by brain injuries and psychiatric disorders, understanding their alterations upon brain injury would provide unprecedented mechanistic insights into etiology of injury-associated-psychiatric disorders and facilitate the development of therapeutic interventions to restore brain function.

INTRODUCTION

During development, neurons hold great growth competence, but gradually lose their capacity in neurite outgrowth during neuron maturation, especially in the mammalian central nervous system (CNS) [1, 2]. As a result, adult CNS neurons generally have limited regenerative competence after injury, which hinders the recovery of patients with spinal cord injury (SCI), stroke, or neurodegenerative diseases. To date, several interventions have been identified to enable injured adult neurons to regrow, revealing that certain signaling pathways can awaken the regenerative capacity of adult neurons [36]. In contrast to those in the CNS, neurons in the mature peripheral nervous system (PNS) attain a large degree of regenerative capacity after axonal injuries, which provides alternative avenues to identify intrinsic and extrinsic factors underpinning regenerative capacity. Gene regulatory circuits [7], protein translation control [3], metabolic regulation [8], and microenvironment [9] have been found to contribute to the neural repair through studies in several PNS and CNS injury models. For example, system-level analysis of temporal gene expression changes in rodent PNS neurons during nerve regeneration has identified a large set of regeneration-associated genes (RAGs) that form a complex gene regulatory network to determine the regeneration competence [7]. Moreover, other cell types, such as glial cells and resident immune cells, can alter their cellular states after injury, constituting either a beneficial or detrimental microenvironment to greatly influence axon regrowth [915].

Not all neuron subtypes regain the growth competency to the same extent [16], suggesting that their dormant regenerative capacity is differentially controlled by distinct mechanisms. Epigenetic and epitranscriptomic modifications that can directly modulate gene expression and protein synthesis may underlie distinct injury responses in a cell-type-dependent manner. Specifically, epigenetic modifications, including DNA and histone modifications, can lead to chromatin remodeling and transcription factor (TF) accessibility without changing the DNA sequence. RNA modifications, on the other hand, regulate RNA metabolism and protein synthesis without altering the RNA sequence. DNA, histone, and RNA modifications are critical regulatory mechanisms manifested in neurodevelopment, learning, and memory [1719]. Dysregulated epigenetic and epitranscriptomic machinery due to genetic variances or mutations have been linked to etiology and pathophysiology of psychiatric disorders [2022]. In addition to genetic dysregulations, environmental challenges, including stressful life events and physical trauma, are often found to be associated with comorbidities of mental health issues. Particularly, brain injury, such as mild traumatic brain injury (mTBI) or concussion, appears to increase susceptibility to a spectrum of neuropsychiatric disorders [23]. While causal mechanisms linking physical conditions to mental illness remain elusive, intriguingly, accumulating genes and signaling pathways affected by brain injury responses, which include epigenetic and epitranscriptomic regulators, are also found to be risk factors for development of psychiatric disorders [14, 15, 2428].

In this review, we summarize recent advances in our knowledge of roles and mechanisms of epigenetic and epitranscriptomic modifications in regulating axon regeneration in the mammalian nervous system. We also discuss how single-cell technologies can facilitate the identification of previously underappreciated mechanisms for differential regenerative capacity in neuronal subtypes. We further provide an outlook for how the understanding of epigenetic and epitranscriptomic mechanisms can encourage axon regeneration and mitigate brain injury-associated psychiatric disorders.

DNA METHYLATION IN AXON REGENERATION

Chemical modifications to DNA bases are one of the major epigenetic mechanisms that regulate chromatin architecture and gene expression. The most widespread and prevalent DNA modification in eukaryotes is the methylation at 5′-carbon of the pyrimidine ring of cytosine nucleotide (5mC). 5mC modification primarily happens in 60–80% of CpG dinucleotides [29] and ~25% of CpHs (non-CpG DNA methylation, where H is C, A or T) [30, 31], which together modifies ~4% of cytosines in the mammalian genome [32]. CpG methylation is catalyzed by a family of DNA methyltransferases (DNMTs), of which DNMT1 maintains the DNA methylation pattern to daughter cells during replication, while DNMT3a and DNMT3b establish de novo methylation for unmodified DNAs [3335]. In contrast, CpH methylation is restricted to certain tissues and cell types, such as embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs) and mature neurons [36], where its establishment is mediated by DNMT3a or DNMT3b and recognized by Methyl-CpG binding protein 2 (MeCP2), the only reader known so far for non-CpG DNA methylation, leading to transcriptional repression in mature neurons [31]. MeCP2 is highly expressed in the brain and its mutations are the primary cause of Rett syndrome [37]. The roles of MeCP2 in modulating neuronal function have been extensively studied in the context of transcriptional regulation, chromatin organization, and RNA splicing [3841]. A recent study highlighted that the dynamic binding of MeCP2 to DNA methylation could be another paradigm to influence the onset of Rett syndrome [42]. The dynamics of CpG and CpH methylation landscape have been characterized in normal brain development [31, 43] and several neurological disorders [42, 44, 45]. During brain development, CpH methylation (especially CpA methylation), enriched in low CpG-density regions, markedly accumulates during neuronal maturation, while methylated CpG (mCpG) level is relatively unchanged [42, 46]. Through in vivo analyses of MeCP2 binding in the adult mouse brain, it has been proposed that MeCP2 binds early on to CpG methylation and then CpH methylation to influence transcription [42]. These results not only underscore the importance of dynamic CpG and non-CpG methylation landscapes in gene regulation but also suggest that aberrant methylation patterns can incorporate MeCP2 binding to affect the timing of onset for Rett syndrome [42].

DNA methylation was generally believed to be associated with transcriptional repression by repelling transcription factor binding in proximal promoter regions [47, 48]. However, the application of protein-microarray-based approach and methylation-sensitive SELEX (systemic evolution of ligands by exponential enrichment) that enabled researchers to systematically survey the binding affinity of chemically-modified nucleic acids to the entire human TF family or extended DNA binding domains, has revealed that certain TF preferentially bind to mCpGs [4951]. For example, mCpG can create new binding sites for a repertoire of TFs, such as homeobox proteins and Krüppel-like factor 4 (KLF4), leading to augment of transcriptional activity [4951]. Furthermore, whole-genome analysis uncovered 5mC can dynamically occur in enhancers, promoters, and gene bodies [30, 52, 53] and pose differential position effects on gene regulation. For instance, in male mouse germline, the methylation on gene bodies was shown to be positively correlated with transcriptional activity in actively transcribed genes, whereas the methylation on transcription start sites (TSS) was inversely associated with transcription initiation [54]. Similarly, in postnatal neural stem cells (NSCs), DNMT3-adependent nonproximal promoter methylation was found to promote transcriptional activity of neurogenic genes through antagonizing polycomb repression [55]. Intriguingly, in contrast to promoting gene transcription, studies from the Bird group indicated that 5mC in the gene body can recruit MeCP2 to create “roadblocks”, impeding the movement of RNA polymerase II to dampen the transcription in neurons [56]. Together, these results suggest that 5mC at different genomic regions can exert diversified functions in regulating gene activity but also have diametrically opposed functions on transcriptional states in a cell-type-specific manner [57].

5mC can be reversed either passively or actively to an unmodified state. Passive DNA demethylation mostly occurs during cell proliferation, though this does not apply to postmitotic neurons as they are non-proliferative. Active DNA demethylation elaborates ten-eleven translocation (TET) proteins for iterative oxidation of 5mC to 5hmC, 5fC, and 5caC, followed by thymine DNA glycosylase (TDG)-dependent base excision repair (BER) for replacement of eventual unmodified cytosine [5862]. While 5hmC is the first oxidation intermediate in active DNA demethylation, merging evidence suggests it may hold additional roles in regulating gene activities itself.

Like 5mC, 5hmC occupancy was also found to vary among tissues and dynamically distributed across different genomic regions through whole-genome sequencing (i.e., gene bodies, promoters, and intergenic regions) [63, 64]. The genomic region-specific 5hmC seems to have distinct regulatory roles in modulating gene activity. In ESCs and neural progenitor cells (NPCs), 5hmC in the proximal promoter region is inversely associated with gene expression where actively transcribed genes show depleted 5hmC in TSS regions, and low-expressing genes displayed abundant 5hmC modification at promoters. In contrast, 5hmC levels in gene bodies are positively associated with actively transcribed genes in ESCs and other cell types [6567]. Mechanistically, it was proposed that accumulated 5hmC in gene bodies of active genes cooperate with loss of H3K27me3 to promote brain development during neurogenesis [65]. Another study in postmitotic neurons suggests the accumulated 5hmC in the gene bodies of actively transcribed genes can lead to “functional demethylation” and prevent MeCP2 binding, subsequently facilitating transcription [66]. Thus, proper DNA methylation and hydroxymethylation patterns in promoter, gene body, and other genomic regions are crucial for the establishment and maintenance of transcriptional program to regulate cell function and responses. Mutations or altered expression of DNA modification enzymes in neurons can impair synaptic plasticity and cause cognitive and social deficits [68]. Furthermore, aberrant DNA methylation and hydroxymethylation patterns are often associated with different psychiatric disorders [6972] and recognized as potential epigenetic risk factors to cause cognitive and social deficits.

External challenges, such as stress and injury, can lead to genome-wide alternations of DNA modifications and subsequent gene expression changes. Intervention or facilitation of these epigenetic changes can promote neuron protection and growth competence in a context-dependent manner. Widespread alternation of DNA methylation was observed in injured dorsal root ganglia (DRG) [73]. DNA hypermethylation prevails in the early phase of epigenetic reprogramming after nerve injury [74], suggesting gain of DNA methylation may influence neuroregenerative capacity. Indeed, administration of folate, an essential nutrient required to generate S-Adenosyl methionine (SAM), which is a universal donor for DNA methylation, increases DNA methylation and facilitates axon regeneration in the injured spinal cord [75]. Moreover, genome-wide DNA methylation and hydroxymethylation profiles in a CNS injury model have revealed numbers of CpG differentially methylated regions (DMRs), CpH differentially methylated regions (DmCH), and differentially hydroxymethylated regions (DmCHs) that accompany with axonal regeneration processes [76]. Future studies examining those differentially methylated/hydroxymethylated regions and the binding proteins on those sites may render new targets to promote axon regeneration.

The mechanisms of reconfiguring DNA methylation patterns dedicated to enhancing regeneration processes remain elusive [75]. Recent studies suggest that epigenetic regulators, including ubiquitin-like containing PHD ring finger 1 (UHRF1) [77], SET domain bifurcated 1 (SETDB1) [78], and MeCP2 [79], can coordinate the recruitment of DNMT3a/b to establish methylation patterns at specific genomic regions. Thus, it is plausible that some of these epigenetic regulators may play a role in enhancing regenerative capacity. Indeed, in the context of peripheral axon regeneration, it was shown that UHRF1 promotes axon regeneration. Mechanistically, UHRF1 can interact with DNMTs and H3K9me3 for transcriptional repression of genes that are inhibitory or detrimental to regeneration. For instance, UHRF1 can be recruited to the promoter region of phosphatase and tensin homolog (PTEN) for gene inactivation, thereby increasing protein translation for axon regeneration. UHRF1 was also found to inhibit transcription of RE1 silencing transcription factor (REST) and thereby preventing prolonged elevated levels of REST that have adverse effects on the regenerative program [77].

In complement to methylation and gene silencing, injury-induced active DNA demethylation (or epigenetic reactivation) targets different loci and the resultant induced gene activation has been shown to promote regeneration processes (Fig. 1a). For example, 5hmC levels were found to be augmented in genomic loci of many RAGs, including activating transcription factor 3 (ATF3), brain-derived neurotrophic factor (BDNF), and SMAD Family Member 1 (SMAD1), in DRG neurons in the adult mouse PNS upon sciatic nerve injury [80, 81]. Blocking TET3 inhibits axon regeneration of DRG neurons and behavioral recovery, underscoring the necessity of DNA demethylation in regaining intrinsic growth competency [81]. Moreover, epigenetic reprogramming is also important for CNS neurons to sustain their regeneration capacity as knockdown TET1 limited axon growth of PTEN-deleted retinal ganglion cells (RGCs) after optic nerve injury [81]. These results also indicate neuron subtypes may have distinct epigenetic barriers to restrain their intrinsic growth competence and require manipulation of specific epigenetic regulators to breach regeneration inhibition.

Fig. 1. Epigenetic regulation of regenerative capacity.

Fig. 1

a DNMTs establish and maintain 5mC on cis-regulatory elements (CREs) to deactivate pro-regenerative program in normal conditions. Upon peripheral injury, activated TETs can execute DNA demethylation, awakening RAGs expression to encourage axon regeneration. b Chromatin states regulate the transition of pro-regenerative program. Pioneer factors can target closed chromatin and initiate chromatin remodeling. The changes of histone modifications after injury control the pro-regenerative gene expression program. The augment of H3K9Ac and H3K27Ac or reduction of H3K9me2 can occur on RAGs for gene activation while the reduction of H3K27Ac can occur on regeneration inhibiting genes (RIGs) for gene inactivation.

Determining which epigenetic alternations are truly functional and causal for the phenotypic changes requires epigenome editing tools to systematically validate candidate epigenetic regulatory elements. As such, several programmable epigenome editing technologies have been developed via tethering a DNA binding domain, including zinc finger proteins (ZFPs), transcription activator-like effectors (TALEs) and nuclease-dead CRISPR/Cas systems (dCas), with an epigenetic modifier to reconfigure epigenetic state at designated genomic loci, followed by interrogation of the mechanistic links between epigenetic states, gene activity and phenotypic traits [82, 83]. For instance, the fusion of catalytically inactive Cas9 (dCas9) with the catalytic core of the histone acetyltransferase p300 has been reported to induce robust gene expression by catalyzing H3K27 acetylation at target proximal and distal enhancers [84]. Similarly, engineered CRISPR/dCas9-Dnmt3a or dCas9-Tet1 system has been established and successfully demonstrate DNA methylation or demethylation of targeted loci, respectively [85]. More importantly, these epigenome editing tools not only can enable dissecting the functional significance of epigenetic alternations in a locus-specific manner, but also provide potential therapeutic strategies to restore gene expression program in diseases involving epigenetic dysregulation. For instance, Fragile X syndrome (FXS), which results from CCG trinucleotide repeat expansion in the 5′-untranslated region of the Fragile X Messenger Ribonucleoprotein 1 (FMR1), exhibits DNA hypermethylation, aberrant histone modifications, and silencing of FMR1. Through exploiting the CRISPR/dCas9-TET1 system, Jaenisch lab demonstrated that targeted demethylation of CGG repeats in FXS patient iPSCs can reactivate FMR1 expression and rescue the electrophysiological abnormalities of FXS neurons [86]. Application of these epigenome editing tools creates unprecedented possibilities for programmable DNA demethylation via CRISPR/dCas systems on cis-regulatory elements (CREs) of RAGs in injured CNS neurons. This would enable a permissive environment for gene reactivation, which in turn provides a promising avenue for promoting axon regeneration as well as treatment of injury-associated psychiatric disorders. It is worth noting that the large number of epigenetic alterations upon axon injury may preclude easy identification of functional epigenetic alternations that are responsible for regenerative capacity. Recently, single-cell sequencing technology adopting CRISPR/Cas9 screens and RNA sequencing (RNA-seq) may overcome this limitation and pave the way for the dissection of candidate epigenetic regulatory elements [87].

HISTONE MODIFICATIONS IN AXON REGENERATION

In addition to DNA modifications, histones wrap DNA into nucleosomes, where different histone modifications aid the remodeling of chromatin and further direct the associated gene activation or inactivation. Each nucleosome is composed of an octamer of four core histones (H2A, H2B, H3, and H4). The N-terminal tails of histones are enriched by different post-transcriptional modifications (PTMs), among which acetylation and methylation are the most well studied. In general, histone acetylation is associated with open chromatin and increased TF accessibility [88]. Histone methylation, in contrast, can lead to either transcriptional activation or repression depending on the targeted histone residues and types of methylation. For instance, H3K4me1 and H3K4me3 represent active transcription, while H3K9me3 and H3K27me3 are generally repressive markers [89, 90]. Alterations of histone modifications due to genetic mutations or environmental insults can influence the gene expression program in specific brain regions and particular cell types, leading to substantial cognitive impairment and pathogenesis of neuropsychiatric diseases [91]. For example, Sirtuin 1 (SIRT1), a histone deacetylase that regulates histones H3 and H4 acetylation, plays a critical role in modulating neuroplasticity and was identified as a major depressive disorder (MDD) risk gene [92].

Cumulative data have shown that histone modifications modulate the expression of RAGs and contribute to axon regeneration. p300/CBP-associated factor (PCAF), the cognate enzyme of H3K9ac, exhibited increased levels after peripheral but not central axonal injury [93] (Fig. 1b). H3K9ac induction was found in the promoter region of several RAGs in DRG neurons following a peripheral nerve lesion, suggesting that the augment of PCAF activity or H3K9ac level is associated with regenerative capacity. In support of this notion, overexpression of PCAF increases growth competency of CNS neurons and encourages regeneration after SCI [93]. Due to the instructive roles of histone acetylation in promoting axon outgrowth, several histone deacetylase inhibitors (HDACi) that prevent histone deacetylation have been investigated for their potential to increase regeneration in both CNS and PNS injury models. In a rodent model of SCI, rats administered valproic acid, a potent HDACi, exhibited increased locomotor function [94]. Other broad-spectrum Class I/II HDACi, such as trichostatin A (TSA) and MS-275, are also shown to promote axon regeneration by accelerating RAG expression in adult sensory neurons after injury [95]. To date, it remains elusive which specific cell types and downstream genes are affected by systemic administrations of HDACi. Genetic ablation of specific HDACs, followed by single-cell nuclei sequencing, would pinpoint which cell populations are heavily influenced by histone acetylation and help identify which target genes are responsible for the increased intrinsic growth capacity.

In contrast to the function of histone acetylation in promoting axon regeneration, very few studies have explored the role of repressive histone modifications in restricting growth capacity. Notably, Puttagunta et al. showed that H3K9me2, which is involved in gene silencing and chromatin repression, is downregulated in certain RAGs after sciatic nerve axotomy, but is increased upon dorsal column axotomy [93]. These changes of H3K9me2 levels are inversely correlated to RAG activation (Fig. 1b). Reopening the inaccessible chromatin regions by erasure of H3K9me2 may plausibly reactivate those RAGs. As proper genomic occupancy of active and repressive histone makers is required to establish a robust regenerative program, future studies are needed to identify the interplays of different histone modifications and changes of histone landscape after injury. Current omics techniques, such as CUT&Tag and CUT&RUN [96, 97], which enable efficient and accurate profiling of histone modifications/DNA accessibility/TFs even at the single-cell level, have begun to reveal the regulatory gene circuitry controlling CNS and PNS growth competency. The advanced applications of single-cell histone modification profiling provide unique lenses to investigate epigenomic landscapes of cell subpopulations in specific organs/tissues.

Histone modifications can be amended by internal or extrinsic signals, which, in turn, recruit a distinct protein repertoire to alter chromatin states and activities. Pioneer factors are relatively newly defined TFs that can prime the closed chromatins and engage the nucleosome remodeling complexes and histone modifiers to initiate the formation of active DNA regulatory elements [98]. The function of pioneer factors varies in different cell type, and largely depends on the cellular state and availability of cofactors in target genomic regions. Two pioneer neurogenic basic helix-loop-helix TFs, achaetescute family BHLH transcription factor 1 (ASCL1) and neuronal differentiation 1 (NEUROD1), have been shown to reprogram fibroblasts into neurons, where their occupancy is associated with increased DNA accessibility, induction of active histone marks H3K4me1 and H3K27Ac, and decreased levels of the repressive marker H3K9me3 [99]. In the adult brain, c-FOS is a neuronal activity-induced pioneer factor that exhibits increased occupancy to chromatin regions to enhance gene activity [100]. Thus, it is plausible that manipulation of proper pioneer factors can alter the chromatin states in favor of pro-regenerative program and subsequently endow enhanced regenerative capacity (Fig. 1b). Furthermore, the pioneer factor-primed regions may also potentiate TF accessibility and maintain the epigenome status that leads to prolonged gene activation to escalate axon regeneration.

RNA MODIFICATIONS IN AXON REGENERATION

Different RNA types, including mRNA, rRNA, and tRNA, contain a variety of modified nucleotides, namely epitranscriptomics, and elaborate their own control on protein synthesis (Fig. 2a). Similar to DNA epigenetics, RNA modifications are alternations to the chemical moiety of RNA molecules that do not result in sequence changes, but do lead to distinct characteristics for RNA metabolism or structural features. While environmental challenges, including traumatic injury and stress, prompt epigenetic, chromatin, and gene expression changes, merging evidence indicates that stress exposure can also alter RNA modifications across the transcriptome [22]. Dysregulation of the epitranscriptomic responses results in maladaptive synaptic plasticity and ultimately contributes to the etiology and pathogenesis of stressrelated psychiatric disorders [22, 101, 102].

Fig. 2. Epitranscriptomic regulation of regenerative capacity.

Fig. 2

a RNA modifications, such as m1A, m6A, m5C and Ψ are widely distributed on mRNA, tRNA and rRNA to fine-tune RNA stability and protein translation. b m6A RNA methylation possesses regulatory effects on translation efficiency and, in turn, promotes the rapid activation of a pro-regenerative program for axon regeneration. m6A residues may influence the subcellular localization of mRNA for local translation.

Of multifaceted roles in regulating RNA metabolism, one critical function of RNA modifications is to modulate protein translation efficiency. Translation machinery which orchestrates mRNA, tRNAs, ribosomes, and translation factors for protein synthesis plays an indispensable role in modulating neuronal function, synaptic plasticity as well as regenerative capacity. For example, activation of the phosphatidylinositol-3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) pathway is one of many regulatory mechanisms required to increase protein synthesis [3, 103, 104]. Upon injury, PNS neurons augment PI3K/AKT/mTOR activity for protein translation and thus promote axon regeneration. In contrast, injured CNS neurons exhibit decreased mTOR signaling and reduced protein synthesis [3]. Restoration of mTOR signaling by PTEN deletion encourages axon regeneration in both retinal and spinal cord injury paradigms, highlighting the therapeutic promise of targeting the translation control apparatus [3, 104]. Thus, identifying and manipulating molecular targets or pathways that can robustly increase translational efficiency and enact another route to enhance regenerative competency would be needed.

RNA modifications occurring in tRNA, rRNA, and mRNA can fine-tune the translation machinery albeit through different mechanisms. Among these modifications, N1-methyladenosine (m1A), N6-methyladenosine (m6A), 5-methylcytosine (m5C), and pseudouridine (Ψ) have been identified in mRNA with differential levels and displayed propensities to different positions of target transcripts [105, 106]. In contrast to m5C and Ψ that potentially impedes mRNA translatability [107, 108], m6A RNA methylation is the most prevalent internal modification on mRNAs that can facilitate protein translation [109].

m6A RNA methylation was established by METTL3/METTL14 methyltransferase complex together with other regulatory subunits (e.g., Wilms’ tumor 1-associating protein (WTAP), zinc finger CCCH-type containing 13 (ZC3H13) and vir like m6A methyltransferase associated (VIRMA)) [110113]. Transcriptome-wide analysis of m6A has revealed that the m6A landscapes are subjected to change after external challenges or cell-state transitions [114, 115]. By modulating RNA secondary structures or through recruitment of different m6A-specific binding proteins (“readers”), including the YT521-B homology (YTH) domain family, heterogeneous nuclear ribonucleoproteins (HNRNPs), and insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs) [109, 116120], m6A modifications exert diversified effects on RNA transcripts, spanning from regulation of mRNA degradation/stability to protein translation. For instance, the YTH family consists of YTH domain family proteins 1–3 (YTHDF1–3) and YTH domain-containing proteins 1–2 (YTHDC1–2). Binding of YTHDF2 to m6A decreases mRNA stability [119], while YTHDF1 promotes translation of m6A methylated RNA by the interaction of translation initiation factor eukaryotic initiation factor 3 (EIF3) [109]. IGF2BPs, on the other hand, facilitate mRNA translation by protecting m6A-containing mRNAs from degradation [117]. Together, the changes of m6A occupancy among the transcripts and the interplays between cognate binding proteins constitute a new layer of regulation for protein translation in the nervous system.

A recent study has illustrated that m6A RNA methylation plays roles in regulating regenerative capacity (Fig. 2b). Following peripheral nerve lesion, m6A levels were increased in DRG neurons, including multiple RAG transcripts. Depletion of m6A by METTL14 or YTHDF1 knock-out perturbed protein translation, leads to attenuated axon regeneration [121]. Intriguingly, m6A RNA methylation and its cognate binding proteins, YTHDFs, were recently found to regulate subcellular RNA localization. Loss of METTL3 or YTHDFs reduces subset methylated RNAs transporting to neurite [122]. m6A modification has been shown to control the local translation of mRNA in axons [123] and local translation in injured axons is crucial to elicit retrograde injury signaling and provide spatially restricted proteins for neurite outgrowth [124]. Therefore, it is plausible that the changes of m6A RNA methylation after injury can redirect certain transcripts to axons for effective regenerative responses (Fig. 2b).

There is scarce research that addresses if m6A augmentation is sufficient to increase growth competency of neurons after injury, which is probably due to a lack of approach to increase m6A complex activity. Recent studies began to address this question and indicated that several signaling pathways can alter the m6A RNA methylation levels. For instance, mammalian target of rapamycin complex 1 (mTORC1) signaling increased levels of SAM and WTAP expression, which in turn promoted the m6A modification on targeted mRNA and, subsequently, protein synthesis [125]. The ERK pathway phosphorylates METTL3, followed by ubiquitin specific peptidase 5 (USP5)-mediated deubiquitination, leading to the stabilization of METTL3 and increased levels of mRNA methylation [126]. Transforming growth factor beta (TGF-β) signaling can facilitate recruitment of the m6A methyltransferase complex and induce methylation on a subset of transcripts [127]. Moreover, post-translational modification, SUMOylation, could also affect m6A enzyme activity [128]. Given the essential role of protein synthesis for axon regeneration, it would be interesting to examine if those signaling pathways can augment m6A levels for enhanced protein translation and stimulate CNS/PNS axon regeneration.

Besides m6A mRNA methylation, other modifications that occur on rRNAs and tRNAs can also fine-tune the translation machinery [129, 130]. For example, tRNA is highly modified and decorated by other modifications, such as m1A [131]. Enhanced expression of alkB homolog 1 (ALKBH1), a tRNA demethylase of m1A, decreases the usage of tRNAs for protein synthesis [131]. Other modifications such as m3C, m5C and Ψ in tRNA were also found to control translation efficiency [132134]. For instance, a recent study from our laboratory showed that Mettl8-dependent m3C modification of mitochondrial tRNA promotes mitochondrial protein translation and regulates cortical neurogenesis [134]. Future studies of the crosstalk or combinatorial effects of RNA modifications on different RNA species [135] may offer an opportunity to significantly enhance protein synthesis for axon regeneration.

EPIGENETIC AND EPITRANSCRIPTOMIC REGULATION OF OTHER CELL TYPES

While cumulative data have identified intrinsic mechanisms for axon growth competence of mature neurons, recent studies have unveiled contributions of glial cells to extrinsic mechanisms of regeneration processes, including neuroprotective and neurotrophic effects, debris clearance, and myelin formation. Glial cells account for a large fraction of cell populations in both CNS and PNS. Specifically, the major glial cell types presented in the CNS are astrocytes, microglia, oligodendrocytes, and ependymal cells [136, 137], while the glial populations in the PNS consist of Schwann cells, enteric glial cells, and satellite glial cells [138]. Each glial cell type has a unique origin, cell lineage, and molecular signature, and exhibits distinct cellular responses following injury.

CNS injury triggers a complex, multiphasic glial response, with both beneficial and detrimental effects. Astrocytes are a key glial component subjected to activation after CNS injury. Once becoming reactive, astrocytes elicit inflammatory responses and increase the production of glycosaminoglycans, such as chondroitin sulfate proteoglycan (CSPG), to form a glial scar. CSPGs have been shown to negatively regulate different aspects of the nerve repair process, including neuronal survival, axonal sprouting, regeneration, and conduction [14]. Although glial scars are historically regarded as the reason for the failure of axon regeneration, Mark et al. showed that attenuating scar-forming astrocytes instead fails to promote the spontaneous axonal regrowth in descending corticospinal tract (CST), ascending sensory tract and descending serotonergic (5HT) tract after SCI [15]. This finding highlights the possibility that the astrocyte heterogeneity constitutes diametrically opposed functions, which include both beneficial and detrimental effects, to influence regenerative responses [139]. The ability of astrocytes to use the same genetic information, but present distinct responses to extrinsic challenges, is in part attributed to epigenetic or epitranscriptomic differences among astrocyte subtypes. It is worth noting that HDACs, the epigenetic regulators of histone acetylation, are known to regulate astrocyte activation and inflammation responses. Pharmacological inhibitions of HDACs suppress the astrocytic cytokine and chemokine gene expression [140, 141]. Currently, our understanding of epigenetic mechanisms in regulating astrocyte function primarily results from the studies of bulk cell populations. Application of single-cell multi-omics technologies in astrocytes in the context of CNS injury will fill our knowledge gap of the epigenetic and epitranscriptomic mechanisms underpinning heterogeneous astrocyte activation and function.

Besides astrocytes, microglia are activated and infiltrate the injury site to execute a series of events, including phagocytosis, clearance of cellular debris, promotion of angiogenesis, and release of inflammatory mediators and trophic factors to impact tissue healing and regeneration within minutes after injury [142]. Microglia appear to promote corralling, wound compaction, and recovery after SCI [143], however, hyperactivation of adult microglia can escalate inflammation and cytotoxicity, facilitating glial scar formation. Intriguingly, a recent discovery of neonatal microglia-mediated scar-free healing in SCI indicates that, unlike adult microglia, neonatal microglia exhibit unique molecular signatures to enhance phagocytosis, resolve inflammation and prevent fibrotic scar formation [144]. While the underlying mechanisms render the protective effects of neonatal microglia remain to be investigated, a recent study of adult cortical and striatal microglia suggests that the polycomb repressive complex 2 (PRC2) and its mediated repressive chromatin modification H3K27me3, appear to epigenetically restrict the activation of clearance-related gene-expression programs and control microglia clearance activity to neuronal damage [145]. Further examination of such epigenetic regulations in adult microglia after SCI and other CNS injuries may provide a potential avenue for epigenetic interventions and facilitate the regeneration processes.

CNS injury often leads to the death of oligodendrocytes and demyelination, which accelerates axonal loss and degeneration. To compromise such deleterious effects, oligodendrocyte progenitor cells (OPCs) rapidly increased in number post-injury and differentiated into new oligodendrocytes to remyelinate axons [146]. Cumulative studies have identified several intrinsic and extrinsic factors, including epigenetic and epitranscriptomic mechanisms to instruct OPCs differentiation during development and remyelination [147]. For example, absence of m6A RNA methylation can prevent maturation of oligodendrocytes and lead to hypomyelination [114]. Likewise, the cell functions and responses of other non-neuronal cell types to injury are coordinately controlled by various factors including TFs, histone modification, chromatin remodeling, and RNA modification. For example, injury-associated microglia, and macrophages (IAMs) exhibited increased levels of HDAC3 after SCI [148, 149]. In a rat TBI model, astrocytes exhibited decreased histone H3 acetylation after injury, which may contribute to the induction of astrogliosis and cognitive impairment [150]. Furthermore, although DNA methylation/hydroxymethylation of glial cell types has not been systematically investigated along the regeneration processes, several studies from mouse models of Alzheimer’s disease and traumatic brain injury have suggested that global DNA methylation alterations occur in the microglia [151, 152].

In contrast to the CNS, the predominant glial cells in the PNS are Schwann cells. Upon PNS injury, Schwann cells become supportive of nerve repair by secreting neurotrophic factors, guiding axons back to their former target, and remyelinating regenerated axons. Following PNS injury, global alterations of H3K27Ac in enhancer regions and demethylation of H3K27me3 in promoters were found in Schwann cells to activate injury-induced gene expression for nerve repair [153].

Together, these studies suggest that glial cells may be equipped with distinct chromatin landscapes, resulting in differential responses to injury. There is no doubt that glial cells are a key player to support axon regeneration. Understanding how glial cells respond to injury and how epigenetic and epitranscriptomic modulators contribute to the state transition of glial cells after injury and during axon regeneration may provide new strategies to boost axon regeneration.

As epigenetic and epitranscriptomic regulatory elements could control cell-type-specific gene expression circuits and instructively define the cellular function of each cell, it is critical to understand the contribution of those regulatory elements to the diversified response of different cell types to nerve injury. Through single-cell sequencing, which enables massively parallel measurements of molecular signatures in thousands to millions of individual cells, diverse cell types have been discovered and comprehensively characterized in the nervous system [154157]. Advanced single-cell technology also allows for the simultaneous detection of gene expression and chromatin states (e.g., DNA accessibility, DNA methylation, and histone modifications) and reveals multiple regulatory modalities in single cells [158, 159]. Numerous algorithms have been developed to perform cell clustering, pseudo time analysis, and decipher cell-cell interactions and communication of different cell types [160162]. It has been recognized that neuronal subtypes possess different regenerative capacities [163]. For example, serotonergic neurons in the raphe nuclei, which project axons from the brainstem to the spinal cord, exhibit regenerative ability, in contrast to other CNS neurons that are unable to regrow after injury [163, 164]. RGCs are normally unable to regenerate after optical nerve injury but under experimental interventions, certain RGC subtypes (e.g., αRGCs and M1) have higher survival rates and regenerative capacity [16]. Most likely, these neurons hold a unique gene regulatory signature to enable them to regain axon growth potency. The application of single-cell sequencing has helped identification of several core transcriptional programs modulating neuronal survival and regeneration [165167].

Single-cell RNA sequencing also uncovered that microglia, astrocytes, oligodendrocytes, and other non-neuronal cell types hold different gene signatures throughout the mouse lifespan [168]. Upon brain or spinal cord injury, the composition and expression profiles of these non-neuronal cells exhibit temporal changes [139, 168, 169], and therefore possibly result in disparate impacts on regeneration processes. Cumulative evidence has indicated that subsets of microglia, astrocytes, oligodendrocytes, and others exhibit distinct responses to injury or other extrinsic challenges [145, 148, 170]. These diversified responses within these glial cell types may result from differential levels of epigenetic regulators that substantially alter gene expression program and in turn, ultimately alter cell function and behavior. For instance, PRC2 is recently identified to exhibit differential enrichment in microglia subpopulations which epigenetically restricts the microglial clearance activity to apoptotic neurons [145].

As the highly heterogenic (sub)cell types and complex cellular interactions influence neural repair, using single-cell sequencing to chart the transcriptomic, epigenetic, and epitranscriptomic landscapes may provide mechanistic insight into the gene regulatory machinery underpinning “supportive” or “detrimental” states of glial cells. Recently, multimodal profiling of chromatin accessibility, histone marks, and gene expression of the same cell has been successfully achieved in tissues of interest [158, 159]. In contrast, transcriptome-wide profiling of m6A resides at single-cell levels is underway with several limitations. For example, deamination adjacent to RNA modification targets (DART-seq), which utilizes YTH domain to guide the fused cytidine deaminase Apolipoprotein B MRNA Editing Enzyme Catalytic Subunit 1 (APOBEC1) to target m6A sites following the C-to-U conversion at the nearby cytidine residues, has been successfully applied to identify m6A landscape at single-cell levels in cell lines [171, 172]. However, this technology requires the presence of APOBEC1-YTH in cells and the robust C-to-U converting rates around m6A residues, which may challenge the feasibility of accurately detecting and quantifying single-cell m6A sites in tissues. Future invention of single-cell sequencing technologies in quantitively detecting m6A residues as well as other modifications at the full-length, single-molecule level may facilitate the determination of aberrant RNA modifications and their consequence in cellular dysfunction, regeneration failure, and disease susceptibility. Integrative analysis of multimodal single-cell data, including RNA modifications, histone marks, TFs occupancy, and gene expression will further advance our understanding of cell-type-specific differences in injury responses and reveal pivotal epigenetic and epitranscriptomic loci in determining regenerative capacity. In turn, we could take advantage of CRISPR/(d)Cas9 platforms to modulate epigenetic or epitranscriptomic states to promote regeneration.

CONCLUSION AND PERSPECTIVE

Cell intrinsic and extrinsic mechanisms are required to encourage successful axon regeneration. While DNA, histone, and RNA modifications are recognized to regulate gene expression and protein translation machinery, only a few modifications have been systematically studied in the context of axon regeneration. How the interplays between the epigenetic and RNA modifications constitute a complex modulatory network for the establishment and maintenance of growth competence during the regeneration phase remains to be addressed. Furthermore, subtypes of neurons, astrocytes, microglia, and other cells respond to injury/insult signals differentially and some contribute to inhibition of neural repair. Thus, it is crucial to examine and compare the intrinsic molecular signatures of neuronal subtypes to reveal the underpinning mechanisms of regenerative capacity. Likewise, identifying glial cells or resident immune cells with different signatures would enable us to better understand how the pro- or anti-regeneration microenvironment is established. Single-cell multi-omics sequencing provided insights into functional regulatory landscape and elucidated the fundamental mechanisms of epi-regulation, thereby providing us with the potential targets to manipulate. Engineering those regenerative refractory neurons or detrimental glial cells with sophisticated molecular tools would promote more neuron cells to regenerate with higher efficiency.

Experiences of brain injury, including mTBI or concussion, appear to associate with increased risks to various neuropsychiatric disorders [23]. While the causal mechanisms underpinning mTBI to confer susceptibility in psychiatric disorders remain elusive, potential determinants, including mechanical damage of neurocircuitry, neuroinflammation, and excitotoxicity [173], have been proposed to initiate or aggravate psychiatric disorders after brain injury. It is also plausible that brain injury causes psychiatric illnesses through dysregulating common genetic factors or converged signaling pathways that are highly associated with pathogenesis of psychiatric disorders. Several epigenetics or epitranscriptomic regulators (including TETs, METTL3, and HDACs), which play pivotal roles in neuronal function and plasticity, are subject to change after the injury. Dysregulation of these genes increases susceptibility to neuropsychiatric disorders [2428]. Thus, understanding the epigenetic and epitranscriptomic mechanisms underlying injury responses not only enables us to identify an avenue to encourage axonal growth and neurocircuitry repair but also allows reversal of pathological signaling to attenuate injury-associated-psychiatric disorders.

FUNDING

The research in the authors’ laboratories were supported by grants from the National Institutes of Health (R35NS116843 to HS, R35NS097370 to G-lM, R01ES031511 to Y-LW), Houston Methodist Neurospark (to Y-LW), and Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (to G-lM). Figures were created with BioRender.com.

Footnotes

COMPETING INTERESTS

The authors declare no competing interests.

Reprints and permission information is available at http://www.nature.com/reprints

REFERENCES

  • 1.Goldberg JL, Klassen MP, Hua Y, Barres BA. Amacrine-signaled loss of intrinsic axon growth ability by retinal ganglion cells. Science. 2002;296:1860–4. [DOI] [PubMed] [Google Scholar]
  • 2.Blackmore M, Letourneau PC. Changes within maturing neurons limit axonal regeneration in the developing spinal cord. J Neurobiol. 2006;66:348–60. [DOI] [PubMed] [Google Scholar]
  • 3.Park KK, Liu K, Hu Y, Smith PD, Wang C, Cai B, et al. Promoting axon regeneration in the adult CNS by modulation of the PTEN/mTOR pathway. Science. 2008;322:963–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Smith PD, Sun F, Park KK, Cai B, Wang C, Kuwako K, et al. SOCS3 deletion promotes optic nerve regeneration in vivo. Neuron. 2009;64:617–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Cho Y, Sloutsky R, Naegle KM, Cavalli V. Injury-induced HDAC5 nuclear export is essential for axon regeneration. Cell. 2013;155:894–908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Tedeschi A, Dupraz S, Laskowski CJ, Xue J, Ulas T, Beyer M, et al. The calcium channel subunit Alpha2delta2 suppresses axon regeneration in the adult CNS. Neuron. 2016;92:419–34. [DOI] [PubMed] [Google Scholar]
  • 7.Chandran V, Coppola G, Nawabi H, Omura T, Versano R, Huebner EA, et al. A systems-level analysis of the peripheral nerve intrinsic axonal growth program. Neuron. 2016;89:956–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yang C, Wang X, Wang J, Wang X, Chen W, Lu N, et al. Rewiring neuronal glycerolipid metabolism determines the extent of axon regeneration. Neuron. 2020;105:276–92.e275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yiu G, He Z. Glial inhibition of CNS axon regeneration. Nat Rev Neurosci. 2006;7:617–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Avraham O, Deng PY, Jones S, Kuruvilla R, Semenkovich CF, Klyachko VA, et al. Satellite glial cells promote regenerative growth in sensory neurons. Nat Commun. 2020;11:4891. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bellver-Landete V, Bretheau F, Mailhot B, Vallieres N, Lessard M, Janelle ME, et al. Microglia are an essential component of the neuroprotective scar that forms after spinal cord injury. Nat Commun. 2019;10:518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Feng Y, Peng Y, Jie J, Yang Y, Yang P. The immune microenvironment and tissue engineering strategies for spinal cord regeneration. Front Cell Neurosci. 2022; 16:969002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Sas AR, Carbajal KS, Jerome AD, Menon R, Yoon C, Kalinski AL, et al. A new neutrophil subset promotes CNS neuron survival and axon regeneration. Nat Immunol. 2020;21:1496–505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Silver J, Miller JH. Regeneration beyond the glial scar. Nat Rev Neurosci. 2004;5: 146–56. [DOI] [PubMed] [Google Scholar]
  • 15.Anderson MA, Burda JE, Ren Y, Ao Y, O’Shea TM, Kawaguchi R, et al. Astrocyte scar formation aids central nervous system axon regeneration. Nature. 2016; 532:195–200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Duan X, Qiao M, Bei F, Kim IJ, He Z, Sanes JR. Subtype-specific regeneration of retinal ganglion cells following axotomy: effects of osteopontin and mTOR signaling. Neuron. 2015;85:1244–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Vissers C, Sinha A, Ming GL, Song H. The epitranscriptome in stem cell biology and neural development. Neurobiol Dis. 2020;146:105139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yoon KJ, Vissers C, Ming GL, Song H. Epigenetics and epitranscriptomics in temporal patterning of cortical neural progenitor competence. J Cell Biol. 2018;217:1901–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Fujita Y, Pather SR, Ming GL, Song H. 3D spatial genome organization in the nervous system: From development and plasticity to disease. Neuron. 2022;110: 2902–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Starnawska A, Demontis D. Role of DNA methylation in mediating genetic risk of psychiatric disorders. Front Psychiatry. 2021;12:596821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Tsankova N, Renthal W, Kumar A, Nestler EJ. Epigenetic regulation in psychiatric disorders. Nat Rev Neurosci. 2007;8:355–67. [DOI] [PubMed] [Google Scholar]
  • 22.Engel M, Eggert C, Kaplick PM, Eder M, Roh S, Tietze L, et al. The role of m(6)A/m-RNA methylation in stress response regulation. Neuron. 2018;99:389–403.e389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.van Reekum R, Cohen T, Wong J. Can traumatic brain injury cause psychiatric disorders? J Neuropsychiatry Clin Neurosci. 2000;12:316–27. [DOI] [PubMed] [Google Scholar]
  • 24.Niu J, Wang B, Wang T, Zhou T. Mechanism of METTL3-mediated m6A modification in depression-induced cognitive deficits. Am J Med Genet B Neuropsychiatr Genet. 2022;189:86–99. [DOI] [PubMed] [Google Scholar]
  • 25.Dong E, Gavin DP, Chen Y, Davis J. Upregulation of TET1 and downregulation of APOBEC3A and APOBEC3C in the parietal cortex of psychotic patients. Transl Psychiatry. 2012;2:e159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Antunes C, Da Silva JD, Guerra-Gomes S, Alves ND, Ferreira F, Loureiro-Campos E, et al. Tet3 ablation in adult brain neurons increases anxiety-like behavior and regulates cognitive function in mice. Mol Psychiatry. 2021;26:1445–57. [DOI] [PubMed] [Google Scholar]
  • 27.Tsankova NM, Berton O, Renthal W, Kumar A, Neve RL, Nestler EJ. Sustained hippocampal chromatin regulation in a mouse model of depression and anti-depressant action. Nat Neurosci. 2006;9:519–25. [DOI] [PubMed] [Google Scholar]
  • 28.Bahari-Javan S, Varbanov H, Halder R, Benito E, Kaurani L, Burkhardt S, et al. HDAC1 links early life stress to schizophrenia-like phenotypes. Proc Natl Acad Sci USA. 2017;114:E4686–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Grippo P, Iaccarino M, Parisi E, Scarano E. Methylation of DNA in developing sea urchin embryos. J Mol Biol. 1968;36:195–208. [DOI] [PubMed] [Google Scholar]
  • 30.Lister R, Pelizzola M, Dowen RH, Hawkins RD, Hon G, Tonti-Filippini J, et al. Human DNA methylomes at base resolution show widespread epigenomic differences. Nature. 2009;462:315–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Guo JU, Su Y, Shin JH, Shin J, Li H, Xie B, et al. Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain. Nat Neurosci. 2014;17:215–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Breiling A, Lyko F. Epigenetic regulatory functions of DNA modifications: 5-methylcytosine and beyond. Epigenetics Chromatin. 2015;8:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Cedar H, Bergman Y. Linking DNA methylation and histone modification: patterns and paradigms. Nat Rev Genet. 2009;10:295–304. [DOI] [PubMed] [Google Scholar]
  • 34.Okano M, Bell DW, Haber DA, Li E. DNA methyltransferases Dnmt3a and Dnmt3b are essential for de novo methylation and mammalian development. Cell. 1999;99:247–57. [DOI] [PubMed] [Google Scholar]
  • 35.Probst AV, Dunleavy E, Almouzni G. Epigenetic inheritance during the cell cycle. Nat Rev Mol Cell Biol. 2009;10:192–206. [DOI] [PubMed] [Google Scholar]
  • 36.He Y, Ecker JR. Non-CG methylation in the human genome. Annu Rev Genomics Hum Genet. 2015;16:55–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Amir RE, Van den Veyver IB, Wan M, Tran CQ, Francke U, Zoghbi HY. Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2. Nat Genet. 1999;23:185–8. [DOI] [PubMed] [Google Scholar]
  • 38.Della Ragione F, Vacca M, Fioriniello S, Pepe G, D’Esposito M. MECP2, a multi-talented modulator of chromatin architecture. Brief Funct Genomics. 2016;15:420–31. [DOI] [PubMed] [Google Scholar]
  • 39.Kinde B, Gabel HW, Gilbert CS, Griffith EC, Greenberg ME. Reading the unique DNA methylation landscape of the brain: Non-CpG methylation, hydro-xymethylation, and MeCP2. Proc Natl Acad Sci USA. 2015;112:6800–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Sharifi O, Yasui DH. The molecular functions of MeCP2 in Rett syndrome pathology. Front Genet. 2021;12:624290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Young JI, Hong EP, Castle JC, Crespo-Barreto J, Bowman AB, Rose MF, et al. Regulation of RNA splicing by the methylation-dependent transcriptional repressor methyl-CpG binding protein 2. Proc Natl Acad Sci USA. 2005;102:17551–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Chen L, Chen K, Lavery LA, Baker SA, Shaw CA, Li W, et al. MeCP2 binds to non-CG methylated DNA as neurons mature, influencing transcription and the timing of onset for Rett syndrome. Proc Natl Acad Sci USA. 2015;112:5509–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Perzel Mandell KA, Price AJ, Wilton R, Collado-Torres L, Tao R, Eagles NJ, et al. Characterizing the dynamic and functional DNA methylation landscape in the developing human cortex. Epigenetics. 2021;16:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Ellis SE, Gupta S, Moes A, West AB, Arking DE. Exaggerated CpH methylation in the autism-affected brain. Mol Autism. 2017;8:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Gabel HW, Kinde B, Stroud H, Gilbert CS, Harmin DA, Kastan NR, et al. Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 2015;522:89–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Lister R, Mukamel EA, Nery JR, Urich M, Puddifoot CA, Johnson ND, et al. Global epigenomic reconfiguration during mammalian brain development. Science. 2013;341:1237905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Kass SU, Pruss D, Wolffe AP. How does DNA methylation repress transcription? Trends Genet. 1997;13:444–9. [DOI] [PubMed] [Google Scholar]
  • 48.Siegfried Z, Eden S, Mendelsohn M, Feng X, Tsuberi BZ, Cedar H. DNA methylation represses transcription in vivo. Nat Genet. 1999;22:203–6. [DOI] [PubMed] [Google Scholar]
  • 49.Yin Y, Morgunova E, Jolma A, Kaasinen E, Sahu B, Khund-Sayeed S, et al. Impact of cytosine methylation on DNA binding specificities of human transcription factors. Science. 2017;356:eaaj2239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hu S, Wan J, Su Y, Song Q, Zeng Y, Nguyen HN, et al. DNA methylation presents distinct binding sites for human transcription factors. eLife. 2013;2:e00726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Heberle E, Bardet AF. Sensitivity of transcription factors to DNA methylation. Essays Biochem. 2019;63:727–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Schultz MD, He Y, Whitaker JW, Hariharan M, Mukamel EA, Leung D, et al. Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 2015;523:212–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Ziller MJ, Gu H, Muller F, Donaghey J, Tsai LT, Kohlbacher O, et al. Charting a dynamic DNA methylation landscape of the human genome. Nature. 2013;500:477–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Morselli M, Pastor WA, Montanini B, Nee K, Ferrari R, Fu K, et al. In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse. Elife. 2015;4:e06205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Wu H, Coskun V, Tao J, Xie W, Ge W, Yoshikawa K, et al. Dnmt3a-dependent nonpromoter DNA methylation facilitates transcription of neurogenic genes. Science. 2010;329:444–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Cholewa-Waclaw J, Shah R, Webb S, Chhatbar K, Ramsahoye B, Pusch O, et al. Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic. Proc Natl Acad Sci USA. 2019;116:14995–15000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Luo C, Hajkova P, Ecker JR. Dynamic DNA methylation: In the right place at the right time. Science. 2018;361:1336–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Guo JU, Su Y, Zhong C, Ming GL, Song H. Hydroxylation of 5-methylcytosine by TET1 promotes active DNA demethylation in the adult brain. Cell. 2011;145:423–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.He YF, Li BZ, Li Z, Liu P, Wang Y, Tang Q, et al. Tet-mediated formation of 5-carboxylcytosine and its excision by TDG in mammalian DNA. Science. 2011;333:1303–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Ito S, D’Alessio AC, Taranova OV, Hong K, Sowers LC, Zhang Y. Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification. Nature. 2010;466:1129–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Ito S, Shen L, Dai Q, Wu SC, Collins LB, Swenberg JA, et al. Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine. Science. 2011;333:1300–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Wu X, Zhang Y. TET-mediated active DNA demethylation: mechanism, function and beyond. Nat Rev Genet. 2017;18:517–34. [DOI] [PubMed] [Google Scholar]
  • 63.Cui XL, Nie J, Ku J, Dougherty U, West-Szymanski DC, Collin F, et al. A human tissue map of 5-hydroxymethylcytosines exhibits tissue specificity through gene and enhancer modulation. Nat Commun. 2020;11:6161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.He B, Zhang C, Zhang X, Fan Y, Zeng H, Liu J, et al. Tissue-specific 5-hydroxymethylcytosine landscape of the human genome. Nat Commun. 2021;12:4249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Hahn MA, Qiu R, Wu X, Li AX, Zhang H, Wang J, et al. Dynamics of 5-hydroxymethylcytosine and chromatin marks in Mammalian neurogenesis. Cell Rep. 2013;3:291–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Mellen M, Ayata P, Heintz N. 5-hydroxymethylcytosine accumulation in post-mitotic neurons results in functional demethylation of expressed genes. Proc Natl Acad Sci USA. 2017;114:E7812–E7821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Tan L, Xiong L, Xu W, Wu F, Huang N, Xu Y, et al. Genome-wide comparison of DNA hydroxymethylation in mouse embryonic stem cells and neural progenitor cells by a new comparative hMeDIP-seq method. Nucleic Acids Res. 2013;41:e84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Gontier G, Iyer M, Shea JM, Bieri G, Wheatley EG, Ramalho-Santos M, et al. Tet2 rescues age-related regenerative decline and enhances cognitive function in the adult mouse brain. Cell Rep. 2018;22:1974–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.van den Oord C, Copeland WE, Zhao M, Xie LY, Aberg KA, van den Oord E. DNA methylation signatures of childhood trauma predict psychiatric disorders and other adverse outcomes 17 years after exposure. Mol Psychiatry. 2022; 27:3367–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Muller D, Grevet EH, Figueira da Silva NA, Bandeira CE, Barbosa E, Vitola ES, et al. Global DNA methylation changes in adults with attention deficit-hyperactivity disorder and its comorbidity with bipolar disorder: links with polygenic scores. Mol Psychiatry. 2022;27:2485–91. [DOI] [PubMed] [Google Scholar]
  • 71.Bundo M, Ueda J, Nakachi Y, Kasai K, Kato T, Iwamoto K. Decreased DNA methylation at promoters and gene-specific neuronal hypermethylation in the prefrontal cortex of patients with bipolar disorder. Mol Psychiatry. 2021;26:3407–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Cheng Y, Li Z, Manupipatpong S, Lin L, Li X, Xu T, et al. 5-Hydroxymethylcytosine alterations in the human postmortem brains of autism spectrum disorder. Hum Mol Genet. 2018;27:2955–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Golzenleuchter M, Kanwar R, Zaibak M, Al Saiegh F, Hartung T, Klukas J, et al. Plasticity of DNA methylation in a nerve injury model of pain. Epigenetics. 2015;10:200–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Garriga J, Laumet G, Chen SR, Zhang Y, Madzo J, Issa JJ, et al. Nerve injury-induced chronic pain is associated with persistent DNA methylation reprogramming in dorsal root ganglion. J Neurosci. 2018;38:6090–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Iskandar BJ, Rizk E, Meier B, Hariharan N, Bottiglieri T, Finnell RH, et al. Folate regulation of axonal regeneration in the rodent central nervous system through DNA methylation. J Clin Investig. 2010;120:1603–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Madrid A, Borth LE, Hogan KJ, Hariharan N, Papale LA, Alisch RS, et al. DNA methylation and hydroxymethylation have distinct genome-wide profiles related to axonal regeneration. Epigenetics. 2021;16:64–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Oh YM, Mahar M, Ewan EE, Leahy KM, Zhao G, Cavalli V. Epigenetic regulator UHRF1 inactivates REST and growth suppressor gene expression via DNA methylation to promote axon regeneration. Proc Natl Acad Sci USA. 2018;115:E12417–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Li H, Rauch T, Chen ZX, Szabo PE, Riggs AD, Pfeifer GP. The histone methyltransferase SETDB1 and the DNA methyltransferase DNMT3A interact directly and localize to promoters silenced in cancer cells. J Biol Chem. 2006; 281:19489–500. [DOI] [PubMed] [Google Scholar]
  • 79.Rajavelu A, Lungu C, Emperle M, Dukatz M, Brohm A, Broche J, et al. Chromatin-dependent allosteric regulation of DNMT3A activity by MeCP2. Nucleic Acids Res. 2018;46:9044–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Loh YE, Koemeter-Cox A, Finelli MJ, Shen L, Friedel RH, Zou H. Comprehensive mapping of 5-hydroxymethylcytosine epigenetic dynamics in axon regeneration. Epigenetics. 2017;12:77–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Weng YL, An R, Cassin J, Joseph J, Mi R, Wang C, et al. An intrinsic epigenetic barrier for functional axon regeneration. Neuron. 2017;94:337–346.e336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Liu XS, Jaenisch R. Editing the epigenome to tackle brain disorders. Trends Neurosci. 2019;42:861–70. [DOI] [PubMed] [Google Scholar]
  • 83.Thakore PI, Black JB, Hilton IB, Gersbach CA. Editing the epigenome: technologies for programmable transcription and epigenetic modulation. Nat Methods. 2016;13:127–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Hilton IB, D’Ippolito AM, Vockley CM, Thakore PI, Crawford GE, Reddy TE, et al. Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers. Nat Biotechnol. 2015;33:510–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Liu XS, Wu H, Ji X, Stelzer Y, Wu X, Czauderna S, et al. Editing DNA methylation in the mammalian genome. Cell. 2016;167:233–47.e217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Liu XS, Wu H, Krzisch M, Wu X, Graef J, Muffat J, et al. Rescue of fragile X syndrome neurons by DNA methylation editing of the FMR1 Gene. Cell. 2018;172:979–92.e976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Gasperini M, Hill AJ, McFaline-Figueroa JL, Martin B, Kim S, Zhang MD, et al. A genome-wide framework for mapping gene regulation via cellular genetic screens. Cell. 2019;176:377–90.e319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Creyghton MP, Cheng AW, Welstead GG, Kooistra T, Carey BW, Steine EJ, et al. Histone H3K27ac separates active from poised enhancers and predicts developmental state. Proc Natl Acad Sci USA. 2010;107:21931–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Barski A, Cuddapah S, Cui K, Roh TY, Schones DE, Wang Z, et al. High-resolution profiling of histone methylations in the human genome. Cell. 2007;129:823–37. [DOI] [PubMed] [Google Scholar]
  • 90.Padeken J, Methot SP, Gasser SM. Establishment of H3K9-methylated heterochromatin and its functions in tissue differentiation and maintenance. Nat Rev Mol Cell Biol. 2022;23:623–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Sun H, Kennedy PJ, Nestler EJ. Epigenetics of the depressed brain: role of histone acetylation and methylation. Neuropsychopharmacology. 2013;38:124–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Kishi T, Yoshimura R, Kitajima T, Okochi T, Okumura T, Tsunoka T, et al. SIRT1 gene is associated with major depressive disorder in the Japanese population. J Affect Disord. 2010;126:167–73. [DOI] [PubMed] [Google Scholar]
  • 93.Puttagunta R, Tedeschi A, Soria MG, Hervera A, Lindner R, Rathore KI, et al. PCAF-dependent epigenetic changes promote axonal regeneration in the central nervous system. Nat Commun. 2014;5:3527. [DOI] [PubMed] [Google Scholar]
  • 94.Lv L, Han X, Sun Y, Wang X, Dong Q. Valproic acid improves locomotion in vivo after SCI and axonal growth of neurons in vitro. Exp Neurol. 2012;233:783–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Finelli MJ, Wong JK, Zou H. Epigenetic regulation of sensory axon regeneration after spinal cord injury. J Neurosci. 2013;33:19664–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Kaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, et al. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 2019;10:1930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Skene PJ, Henikoff S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. Elife. 2017;6:e21856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Balsalobre A, Drouin J. Pioneer factors as master regulators of the epigenome and cell fate. Nat Rev Mol Cell Biol. 2022;23:449–64. [DOI] [PubMed] [Google Scholar]
  • 99.Wapinski OL, Vierbuchen T, Qu K, Lee QY, Chanda S, Fuentes DR, et al. Hierarchical mechanisms for direct reprogramming of fibroblasts to neurons. Cell. 2013;155:621–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Su Y, Shin J, Zhong C, Wang S, Roychowdhury P, Lim J, et al. Neuronal activity modifies the chromatin accessibility landscape in the adult brain. Nat Neurosci. 2017;20:476–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Barbon A, Magri C. RNA editing and modifications in mood disorders. Genes. 2020;11:872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Widagdo J, Anggono V. The m6A-epitranscriptomic signature in neurobiology: from neurodevelopment to brain plasticity. J Neurochem. 2018;147:137–52. [DOI] [PubMed] [Google Scholar]
  • 103.Abe N, Borson SH, Gambello MJ, Wang F, Cavalli V. Mammalian target of rapamycin (mTOR) activation increases axonal growth capacity of injured peripheral nerves. J Biol Chem. 2010;285:28034–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Liu K, Lu Y, Lee JK, Samara R, Willenberg R, Sears-Kraxberger I, et al. PTEN deletion enhances the regenerative ability of adult corticospinal neurons. Nat Neurosci. 2010;13:1075–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Barbieri I, Kouzarides T. Role of RNA modifications in cancer. Nat Rev Cancer. 2020;20:303–22. [DOI] [PubMed] [Google Scholar]
  • 106.Roundtree IA, Evans ME, Pan T, He C. Dynamic RNA modifications in gene expression regulation. Cell. 2017;169:1187–1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Eyler DE, Franco MK, Batool Z, Wu MZ, Dubuke ML, Dobosz-Bartoszek M, et al. Pseudouridinylation of mRNA coding sequences alters translation. Proc Natl Acad Sci USA. 2019;116:23068–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Schumann U, Zhang HN, Sibbritt T, Pan A, Horvath A, Gross S, et al. Multiple links between 5-methylcytosine content of mRNA and translation. BMC Biol. 2020;18:40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Wang X, Zhao BS, Roundtree IA, Lu Z, Han D, Ma H, et al. N(6)-methyladenosine modulates messenger RNA translation efficiency. Cell. 2015;161:1388–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Liu J, Yue Y, Han D, Wang X, Fu Y, Zhang L, et al. A METTL3-METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation. Nat Chem Biol. 2014;10:93–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Yue Y, Liu J, Cui X, Cao J, Luo G, Zhang Z, et al. VIRMA mediates preferential m(6) A mRNA methylation in 3’UTR and near stop codon and associates with alternative polyadenylation. Cell Discov. 2018;4:10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Wen J, Lv R, Ma H, Shen H, He C, Wang J, et al. Zc3h13 regulates nuclear RNAm (6)A methylation and mouse embryonic stem cell self-renewal. Mol Cell. 2018;69:1028–38.e1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Ping XL, Sun BF, Wang L, Xiao W, Yang X, Wang WJ, et al. Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase. Cell Res. 2014;24:177–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Xu H, Dzhashiashvili Y, Shah A, Kunjamma RB, Weng YL, Elbaz B, et al. m(6)A mRNA methylation is essential for oligodendrocyte maturation and CNS myelination. Neuron. 2020;105:293–309.e295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Yoon KJ, Ringeling FR, Vissers C, Jacob F, Pokrass M, Jimenez-Cyrus D, et al. Temporal control of mammalian cortical neurogenesis by m(6)A methylation. Cell. 2017;171:877–89.e817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Alarcon CR, Goodarzi H, Lee H, Liu X, Tavazoie S, Tavazoie SF. HNRNPA2B1 is a mediator of m(6)A-dependent nuclear RNA processing events. Cell. 2015;162:1299–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Huang H, Weng H, Sun W, Qin X, Shi H, Wu H, et al. Recognition of RNA N(6)-methyladenosine by IGF2BP proteins enhances mRNA stability and translation. Nat Cell Biol. 2018;20:285–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Roundtree IA, Luo GZ, Zhang Z, Wang X, Zhou T, Cui Y, et al. YTHDC1 mediates nuclear export of N(6)-methyladenosine methylated mRNAs. Elife. 2017;6:e31311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Wang X, Lu Z, Gomez A, Hon GC, Yue Y, Han D, et al. N6-methyladenosine-dependent regulation of messenger RNA stability. Nature. 2014;505:117–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Zhou KI, Shi H, Lyu R, Wylder AC, Matuszek Z, Pan JN, et al. Regulation of co-transcriptional pre-mRNA Splicing by m(6)A through the low-complexity protein hnRNPG. Mol Cell. 2019;76:70–81.e79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Weng YL, Wang X, An R, Cassin J, Vissers C, Liu Y, et al. Epitranscriptomic m(6)A regulation of axon regeneration in the adult mammalian nervous system. Neuron. 2018;97:313–25.e316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Flamand MN, Meyer KD. m6A and YTHDF proteins contribute to the localization of select neuronal mRNAs. Nucleic Acids Res. 2022;50:4464–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Yu J, Chen M, Huang H, Zhu J, Song H, Zhu J, et al. Dynamic m6A modification regulates local translation of mRNA in axons. Nucleic Acids Res. 2018;46:1412–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Terenzio M, Koley S, Samra N, Rishal I, Zhao Q, Sahoo PK, et al. Locally translated mTOR controls axonal local translation in nerve injury. Science. 2018;359:1416–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Villa E, Sahu U, O’Hara BP, Ali ES, Helmin KA, Asara JM, et al. mTORC1 stimulates cell growth through SAM synthesis and m(6)A mRNA-dependent control of protein synthesis. Mol Cell. 2021;81:2076.e2079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Sun HL, Zhu AC, Gao Y, Terajima H, Fei Q, Liu S, et al. Stabilization of ERK-phosphorylated METTL3 by USP5 increases m(6)A methylation. Mol Cell. 2020;80:633–47.e637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Bertero A, Brown S, Madrigal P, Osnato A, Ortmann D, Yiangou L, et al. The SMAD2/3 interactome reveals that TGFbeta controls m(6)A mRNA methylation in pluripotency. Nature. 2018;555:256–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Du Y, Hou G, Zhang H, Dou J, He J, Guo Y, et al. SUMOylation of the m6A-RNA methyltransferase METTL3 modulates its function. Nucleic Acids Res. 2018;46: 5195–208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Pinto R, Vagbo CB, Jakobsson ME, Kim Y, Baltissen MP, O’Donohue MF, et al. The human methyltransferase ZCCHC4 catalyses N6-methyladenosine modification of 28S ribosomal RNA. Nucleic Acids Res. 2020;48:830–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Blanco S, Dietmann S, Flores JV, Hussain S, Kutter C, Humphreys P, et al. Aberrant methylation of tRNAs links cellular stress to neuro-developmental disorders. EMBO J. 2014;33:2020–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Liu F, Clark W, Luo G, Wang X, Fu Y, Wei J, et al. ALKBH1-mediated tRNA demethylation regulates translation. Cell. 2016;167:816–28.e816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Tuorto F, Liebers R, Musch T, Schaefer M, Hofmann S, Kellner S, et al. RNA cytosine methylation by Dnmt2 and NSun2 promotes tRNA stability and protein synthesis. Nat Struct Mol Biol. 2012;19:900–5. [DOI] [PubMed] [Google Scholar]
  • 133.Levi O, Arava YS. Pseudouridine-mediated translation control of mRNA by methionine aminoacyl tRNA synthetase. Nucleic Acids Res. 2021;49:432–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Zhang F, Yoon K, Zhang DY, Kim NS, Ming GL, Song H. Epitranscriptomic regulation of cortical neurogenesis via Mettl8-dependent mitochondrial tRNA m(3) C modification. Cell Stem Cell. 2023;30:300–11.e311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Ontiveros RJ, Shen H, Stoute J, Yanas A, Cui Y, Zhang Y, et al. Coordination of mRNA and tRNA methylations by TRMT10A. Proc Natl Acad Sci USA. 2020; 117:7782–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Greenhalgh AD, David S, Bennett FC. Immune cell regulation of glia during CNS injury and disease. Nat Rev Neurosci. 2020;21:139–52. [DOI] [PubMed] [Google Scholar]
  • 137.Jakel S, Dimou L. Glial cells and their function in the adult brain: a journey through the history of their ablation. Front Cell Neurosci. 2017;11:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Reed CB, Feltri ML, Wilson ER. Peripheral glia diversity. J Anat. 2022;24:1219–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Li C, Wu Z, Zhou L, Shao J, Hu X, Xu W, et al. Temporal and spatial cellular and molecular pathological alterations with single-cell resolution in the adult spinal cord after injury. Signal Transduct Target Ther. 2022;7:65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Faraco G, Pittelli M, Cavone L, Fossati S, Porcu M, Mascagni P, et al. Histone deacetylase (HDAC) inhibitors reduce the glial inflammatory response in vitro and in vivo. Neurobiol Dis. 2009;36:269–79. [DOI] [PubMed] [Google Scholar]
  • 141.Suh HS, Choi S, Khattar P, Choi N, Lee SC. Histone deacetylase inhibitors suppress the expression of inflammatory and innate immune response genes in human microglia and astrocytes. J Neuroimmune Pharmacol. 2010;5:521–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Popovich PG, Jones TB. Manipulating neuroinflammatory reactions in the injured spinal cord: back to basics. Trends Pharmacol Sci. 2003;24:13–17. [DOI] [PubMed] [Google Scholar]
  • 143.Zhou X, Wahane S, Friedl MS, Kluge M, Friedel CC, Avrampou K, et al. Microglia and macrophages promote corralling, wound compaction and recovery after spinal cord injury via Plexin-B2. Nat Neurosci. 2020;23:337–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Li Y, He X, Kawaguchi R, Zhang Y, Wang Q, Monavarfeshani A, et al. Microglia-organized scar-free spinal cord repair in neonatal mice. Nature. 2020;587:613–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Ayata P, Badimon A, Strasburger HJ, Duff MK, Montgomery SE, Loh YE, et al. Epigenetic regulation of brain region-specific microglia clearance activity. Nat Neurosci. 2018;21:1049–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Duncan GJ, Manesh SB, Hilton BJ, Assinck P, Plemel JR, Tetzlaff W. The fate and function of oligodendrocyte progenitor cells after traumatic spinal cord injury. Glia. 2020;68:227–45. [DOI] [PubMed] [Google Scholar]
  • 147.Gregath A, Lu QR. Epigenetic modifications-insight into oligodendrocyte lineage progression, regeneration, and disease. FEBS Lett. 2018;592:1063–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Wahane S, Zhou X, Zhou X, Guo L, Friedl MS, Kluge M, et al. Diversified transcriptional responses of myeloid and glial cells in spinal cord injury shaped by HDAC3 activity. Sci Adv. 2021;7:eabd8811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Kuboyama T, Wahane S, Huang Y, Zhou X, Wong JK, Koemeter-Cox A, et al. HDAC3 inhibition ameliorates spinal cord injury by immunomodulation. Sci Rep. 2017;7:8641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Bailey ZS, Grinter MB, VandeVord PJ. Astrocyte reactivity following blast exposure involves aberrant histone acetylation. Front Mol Neurosci. 2016;9:64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Zhang ZY, Zhang Z, Fauser U, Schluesener HJ. Global hypomethylation defines a sub-population of reactive microglia/macrophages in experimental traumatic brain injury. Neurosci Lett. 2007;429:1–6. [DOI] [PubMed] [Google Scholar]
  • 152.Gasparoni G, Bultmann S, Lutsik P, Kraus TFJ, Sordon S, Vlcek J, et al. DNA methylation analysis on purified neurons and glia dissects age and Alzheimer’s disease-specific changes in the human cortex. Epigenetics Chromatin. 2018;11:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Hung HA, Sun G, Keles S, Svaren J. Dynamic regulation of Schwann cell enhancers after peripheral nerve injury. J Biol Chem. 2015;290:6937–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Zeisel A, Munoz-Manchado AB, Codeluppi S, Lonnerberg P, La Manno G, Jureus A, et al. Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science. 2015;347:1138–42. [DOI] [PubMed] [Google Scholar]
  • 155.Rosenberg AB, Roco CM, Muscat RA, Kuchina A, Sample P, Yao Z, et al. Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science. 2018;360:176–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Shin J, Berg DA, Zhu Y, Shin JY, Song J, Bonaguidi MA, et al. Single-cell RNA-Seq with waterfall reveals molecular cascades underlying adult neurogenesis. Cell Stem Cell. 2015;17:360–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Lake BB, Ai R, Kaeser GE, Salathia NS, Yung YC, Liu R, et al. Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain. Science. 2016;352:1586–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Zhu C, Yu M, Huang H, Juric I, Abnousi A, Hu R, et al. An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome. Nat Struct Mol Biol. 2019;26:1063–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Zhu C, Zhang Y, Li YE, Lucero J, Behrens MM, Ren B. Joint profiling of histone modifications and transcriptome in single cells from mouse brain. Nat Methods. 2021;18:283–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Trapnell C, Cacchiarelli D, Grimsby J, Pokharel P, Li S, Morse M, et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol. 2014;32:381–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Stuart T, Satija R. Integrative single-cell analysis. Nat Rev Genet. 2019;20:257–72. [DOI] [PubMed] [Google Scholar]
  • 162.Butler A, Hoffman P, Smibert P, Papalexi E, Satija R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat Biotechnol. 2018;36:411–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Tuszynski Mark H, Steward O. Concepts and methods for the study of axonal regeneration in the CNS. Neuron. 2012;74:777–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Cooke P, Janowitz H, Dougherty SE. Neuronal redevelopment and the regeneration of neuromodulatory axons in the adult mammalian central nervous system. Front Cell Neurosci. 2022;16:872501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Tian F, Cheng Y, Zhou S, Wang Q, Monavarfeshani A, Gao K, et al. Core transcription programs controlling injury-induced neurodegeneration of retinal ganglion cells. Neuron. 2022;110:2607–24.e2608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Jacobi A, Tran NM, Yan W, Benhar I, Tian F, Schaffer R, et al. Overlapping transcriptional programs promote survival and axonal regeneration of injured retinal ganglion cells. Neuron. 2022;110:2625–45.e2627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Li L, Fang F, Feng X, Zhuang P, Huang H, Liu P, et al. Single-cell transcriptome analysis of regenerating RGCs reveals potent glaucoma neural repair genes. Neuron. 2022;110:2646–63.e2646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Hammond TR, Dufort C, Dissing-Olesen L, Giera S, Young A, Wysoker A, et al. Single-cell RNA sequencing of microglia throughout the mouse lifespan and in the injured brain reveals complex cell-state changes. Immunity. 2019;50:253–71.e256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Milich LM, Choi JS, Ryan C, Cerqueira SR, Benavides S, Yahn SL, et al. Single-cell analysis of the cellular heterogeneity and interactions in the injured mouse spinal cord. J Exp Med. 2021;218:e20210040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Hasel P, Rose IVL, Sadick JS, Kim RD, Liddelow SA. Neuroinflammatory astrocyte subtypes in the mouse brain. Nat Neurosci. 2021;24:1475–87. [DOI] [PubMed] [Google Scholar]
  • 171.Meyer KD. DART-seq: an antibody-free method for global m(6)A detection. Nat Methods. 2019;16:1275–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Tegowski M, Flamand MN, Meyer KD. scDART-seq reveals distinct m(6)A signatures and mRNA methylation heterogeneity in single cells. Mol Cell. 2022; 82:868–78.e810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Kaplan GB, Leite-Morris KA, Wang L, Rumbika KK, Heinrichs SC, Zeng X, et al. Pathophysiological bases of comorbidity: traumatic brain injury and post-traumatic stress disorder. J Neurotrauma. 2018;35:210–25. [DOI] [PubMed] [Google Scholar]

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