Mitochondrial RNA modifications in gene expression and cancer biology

Haixia Wang , Lili Ren , Dongling Zou , Rui Su

MedScience ››

PDF (2532KB)
MedScience ›› DOI: 10.1007/s11684-026-1233-z
REVIEW
Mitochondrial RNA modifications in gene expression and cancer biology
Author information +
History +
PDF (2532KB)

Abstract

RNA modifications are essential in regulating gene expression at the post-transcriptional level. Recent studies, including our own, have highlighted that RNA modifications, such as N6-methyladenosine (m6A) and methyl-5-cytosine (m5C), play a crucial role in tumorigenesis, metabolism, and anti-tumor immunity. Targeting RNA modification machinery may represent a promising therapeutic strategy in cancer. Intriguingly, emerging evidence reveals numerous modifications in mitochondrial RNA (mt-RNA), expanding the concept of epitranscriptomics to mitochondria. The mammalian mitochondrion possesses its own genome, which encodes 22 transfer RNAs (tRNAs), 2 ribosomal RNAs (rRNAs), and 13 proteins necessary for energy production via oxidative phosphorylation (OxPhos). The mitochondrial transcriptome is produced from large polycistronic transcripts, implying that mitochondrial gene expression is predominantly regulated post-transcriptionally. In this review, we summarize all currently known mt-RNA modifications, their potential regulatory machinery, as well as their biological functions in tumorigenesis and metabolism. Additionally, given that this field is still in its infancy, we discuss several critical knowledge gaps and propose future research directions to clarify the mechanistic and clinical significance in the study of mt-RNA modifications.

Keywords

mitochondria / RNA modifications / epitranscriptomics / cancer / metastasis / metabolism / tumor immunity

Cite this article

Download citation ▾
Haixia Wang, Lili Ren, Dongling Zou, Rui Su. Mitochondrial RNA modifications in gene expression and cancer biology. MedScience DOI:10.1007/s11684-026-1233-z

登录浏览全文

4963

注册一个新账户 忘记密码

1 Introduction

Mitochondria, the powerhouses of eukaryotic cells, not only supply energy for cellular functions but also act as central hubs for diverse signal pathways, including cell apoptosis, calcium homeostasis, and the regulation of inflammation and immunity [13]. Accumulating evidence has established that mitochondrial dysfunction and metabolic reprogramming are fundamental drivers of a wide range of human pathologies, including cancer. In tumors, functional mitochondria sustain oncogenesis by supporting biosynthesis, maintaining redox balance, and enabling metabolic flexibility [46]. Consequently, mitochondria are now increasingly recognized as key contributors to therapy resistance and immune modulation [711].

To understand the crucial role of mitochondria in cancer biology, it is essential first to consider their evolutionary origins and genomic features. Mitochondria originated from free-living bacterial ancestors that were engulfed by eukaryotic cells via endocytosis. Although more than 99% of the original genetic information from these bacterial ancestors was transferred to the nuclear genome, mitochondria retain their own independent genome. Unlike the linear DNA of nuclear genome, the mitochondrial DNA (mt-DNA) is a circular, double-stranded molecule. Human mt-DNA spans 16 569 base pairs and comprises two strands that can be distinguished by their nucleotide composition: a guanine/thymidine-rich heavy (H) strand and its complementary light (L) strand [12,13] (Fig. 1).

Transcription of mt-DNA occurs from both strands, producing long polycistronic transcripts processed through a unique transfer RNA (tRNA) punctuation model. The H-strand transcript encodes 2 mitochondrial rRNAs (mt-rRNAs), 14 mitochondrial ribosomal RNAs (mt-tRNAs), and 12 mitochondrial messenger RNAs (mt-mRNAs), while the L-strand transcript contains 8 mt-tRNAs and a single mt-mRNA [14,15]. Altogether, human mt-DNA encodes 13 protein-coding mt-mRNAs, 22 mt-tRNAs, and 2 mt-rRNAs [3,14,16,17]. These 13 proteins encoded by the mitochondrial genome serve as key oxidative phosphorylation (OxPhos) subunits that are essential for respiratory chain biogenesis and ATP production [18]. This streamlined system, lacking introns, relies heavily on precise RNA processing to yield mature, functional molecules essential for mitochondrial protein synthesis and energy production.

Unlike nuclear transcripts which are monocistronic, the entire mitochondrial transcriptome is produced from large polycistronic transcripts. Specifically, the H strand is transcribed from a single promoter called heavy strand promoter (HSP), while the L strand is driven by two promoters called light strand promoter (LSP) and light strand promoter 2 (LSP2) [1921]. Due to the shared promoters, the striking differences in expression levels among individual mitochondrial genes underscore that post-transcriptional regulation is the primary determinant of mitochondrial gene expression [21].

This brings us to an emerging area of research: RNA modifications as key post-transcriptional regulators. Eukaryotic RNAs can be modified by over 170 chemical modifications, which play a crucial role in post-transcriptional regulation [2224]. Dysregulation of RNA modifications contributes to human diseases, including tumorigenesis. For instance, our recent studies [2528] and those of others [2933] suggest that N6-methyladenosine (m6A), the most prevalent modification in mRNA, plays a crucial role in tumorigenesis, cancer stem cell self-renewal, and metabolism. Targeting the machinery responsible for RNA modifications has shown promising therapeutic efficacy against cancer [3438]. While these insights have largely arisen from studies of cytosolic RNAs, recent studies reveal that mt-RNAs also harbor diverse chemical modifications [3942], extending the concept of RNA epigenetics into mitochondria. Specifically, mt-tRNAs are the most extensively modified, carrying 137 modification sites encompassing 18 distinct chemical types [3941]. These include marks such as m1A, m5C, τm5U, Ψ, and t6A, which ensure proper tRNA folding, accurate codon-anticodon pairing, and efficient mitochondrial translation. The mt-rRNAs also contain approximately 10 modification sites involving nine different types [41], including m1A, m5C, and Ψ, catalyzed by enzymes such as NOP2/Sun RNA methyltransferase 4 (NSUN4), transcription factor B1, mitochondrial (TFB1M), and methyltransferase-like protein 15 (METTL15), which are essential for ribosome assembly and function. In addition, mt-mRNAs, though less extensively characterized, harbor multiple modifications, including m5C, m1A, and m6A, distributed across coding and untranslated regions [4346].

In addition to energy production, mitochondria serve as central hubs for cellular metabolism and immunity. Emerging evidence indicates that mt-RNA modifications act as crucial modulators of mitochondrial function under oncogenic stress, linking transcriptional regulation to metabolic adaptation, immune evasion, and therapy resistance. Thus, mt-RNA modifications-mediated dysregulation of mitochondrial functions might exert profound effects on tumorigenesis, metabolic reprogramming, and anti-tumor immunity. Given the central roles of mitochondria in cancer biology and immunity, together with the growing recognition of RNA epigenetics, mt-RNA modifications represent a largely unexplored but potentially transformative frontier in oncology. This review provides a comprehensive overview of mt-RNA modifications and their regulatory enzymes, and discusses their roles in tumorigenesis, metastasis, immune regulation, and drug resistance. We also discuss the outstanding knowledge gaps, challenges, and future perspectives in the field of mitochondrial epitranscriptomics.

2 mt-RNA modifications, enzymes, and functions

mt-RNAs, including mt-rRNA, mt-tRNA, and mt-mRNA, are extensively decorated with many chemical modifications that fine-tune their processing and function [47]. These modifications are introduced by nuclear-encoded mitochondrial-localized enzymes in a tightly coordinated manner, thereby safeguarding mitochondrial function and cellular homeostasis. Disruption of mt-RNA modification has been increasingly linked to defective OxPhos, metabolic disorders, and human diseases. Within this conceptual framework, the following sections provide a systematic overview of currently known mt-RNA modifications, including mt-mRNA, mt-rRNA, and mt-tRNA modifications, and their functions in determining mt-RNA fate.

2.1 mt-mRNA modifications and functions

Compared with the densely modified mt-tRNAs and mt-rRNAs, mammalian mt-mRNAs carry a relatively sparse but functionally important set of post-transcriptional marks. Advances in high-throughput sequencing, mass spectrometry-based nucleoside mapping, and chemical mapping approaches have generated nucleotide-resolution catalogs of mt-RNA modifications. These studies reveal that mt-mRNA chemistry and processing are tightly integrated with transcript maturation and translation [45,46]. Although fewer in number, mt-mRNA modifications are not randomly distributed; rather, they occur at positions with high potential to influence decoding, ribosome dynamics, or RNA stability.

The chemical modifications reported in mt-mRNAs include base methylations, such as N1-methyladenosine (m1A), and pseudouridine (Ψ), both can alter base-pairing or local RNA structure [48,49] (Fig. 2, Table S1). These modifications are deposited by nuclear-encoded enzymes that operate in the mitochondrial matrix, often as part of larger ribonucleoprotein assemblies. The deposition of modification is regulated in a transcript-specific and temporally controlled manner during mt-mRNA maturation. The functional impact of a given modification depends not only on its chemistry but also on its precise transcript and positional context.

Among the emerging epitranscriptomic regulators of mt-mRNA function, m1A and Ψ have attracted particular attention. Traditionally associated with tRNAs and rRNAs, m1A has now been detected at internal positions within several mt-mRNAs. Mapping studies [45,46] reported variable site counts, ranging from numerous candidates to a small set of high-confidence positions identified with reverse transcriptase-stalling approaches. This underscores a critical need for orthogonal validation. One reproducible site is m1A1374 in MT-ND5, which is abundant in early human embryos and oocytes but decreases during later development [46], pointing to a potential role in developmental control of mitochondrial translation. Functionally, m1A disrupts Watson–Crick base pairing and can impede codon–anticodon recognition, leading to ribosomal pausing and reduced translation. Enzymes involved in mt-mRNA m1A methylation include tRNA methyltransferase 61B (TRMT61B) and tRNA methyltransferase 10C (TRMT10C, also known as mitochondrial RNase P protein 1 (MRPP1)). TRMT61B modifies specific sites in MT-CO1/2/3 [45,46], whereas TRMT10C, a component of mitochondrial RNase P complex, is associated with methylation of MT-ND5 [46]. Importantly, the m.13708G>A polymorphism (haplogroup J) in MT-ND5 gene, linked to Leber’s hereditary optic neuropathy (LHON), interferes with m1A formation at the corresponding site, providing an example of how sequence variation can perturb mitochondrial epitranscriptomic regulation [50].

In addition to m1A, Ψ has also been progressively mapped in mt-mRNAs [44]. Long recognized as the most abundant RNA modification in nature, Ψ was previously mapped to mt-rRNAs and mt-tRNAs but has since been identified in mt-mRNAs such as MT-CO1 and MT-CO3. However, some earlier reports of Ψ in MT-CO2 and MT-ND4 have not been consistently confirmed by follow-up studies, highlighting the need for targeted validation [44,51,52]. Recent studies suggest that RNA pseudouridine synthase domain-containing protein 3 (RPUSD3) and TruB pseudouridine synthase family member 2 (TRUB2) contribute to mt-mRNA pseudouridylation, though the mitochondrial localization of TRUB2 requires further validation [52]. Depletion of RPUSD3 reduces Ψ levels in specific mt-mRNAs and impairs mitochondrial protein synthesis, suggesting that Ψ may support translational efficiency or RNA stability in mitochondria. Although the precise roles of Ψ in mitochondria remain under investigation, insights from cytosolic systems indicate that it can stabilize RNA secondary structure, improve decoding fidelity, and protect transcripts from endonucleolytic cleavage. These cytosolic insights may offer a conceptual framework for understanding potential roles of Ψ in mitochondria, where coordinated expression of respiratory chain subunits is essential for OxPhos and ATP production.

Beyond covalent modification, canonical mRNA processing steps provide an additional regulatory layer in mitochondria. Transcription elongation, mediated by polymerase RNA mitochondrial (POLRMT) and transcription elongation factor, mitochondrial (TEFM), promotes read-through of promoter-distal regions and influences the availability of full-length polycistronic precursors. Following endonucleolytic cleavage, polyadenylation by the mitochondrial poly(A) polymerase (hmtPAP) is essential for the maturation and translational competence of a subset of mitochondrial transcripts. For at least 7 of the 13 protein-coding mt-mRNAs, addition of a poly(A) tail completes a UAA stop codon, enabling productive termination. Mitochondrial poly(A) tails are typically ~45 nucleotides, though transcript-specific heterogeneity exists, for example, the L-strand–encoded ND6 lacks polyadenylation. Tail length is partly regulated by phosphodiesterase 12 (PDE12), a mitochondrial exonuclease that shortens poly(A) tails; pathogenic variants in mitochondrial poly(A) polymerase (MTPAP) (e.g., N478D) impair tail synthesis, leading to unstable or truncated transcripts with reduced protein output. Although polyribonucleotide nucleotidyltransferase 1 (PNPase1) has been implicated in mt-mRNA metabolism, its localization to the intermembrane space argues against a direct role in matrix-localized mt-mRNA polyadenylation.

The spatial and transcript-specific distribution of mt-mRNA modifications raises several intriguing questions. How dynamically are these modifications regulated in response to metabolic stress, hypoxia, or nutrients? Do they act as an active control signal that directs transcripts toward translation or decay? The observation that some enzymes, such as TRMT10C, participate in both mt-tRNA maturation and mt-mRNA modification [5355], suggests crosstalk between RNA classes and a shared regulatory infrastructure. Addressing these questions will require quantitative, locus-specific mapping in defined genetic models, combined with biochemical dissection of enzyme specificity and functional readouts of mitochondrial translation and respiration. Such integrative studies will be critical for clarifying how mt-mRNA modifications contribute to physiologic regulation and mitochondrial disease.

2.2 mt-rRNA modifications and functions

Mitochondrial ribosomes synthesize the 13 essential polypeptides encoded by the mitochondrial genome, all of which are core components of the OxPhos system [56,57]. Mitochondrial ribosomes, distinct from cytosolic 80S ribosomes, consist of a 28S small subunit (mtSSU; 12S rRNA) and a 39S large subunit (mtLSU; 16S rRNA), forming the 55S mitoribosome. They have evolved a specialized architecture with a lower rRNA-to-protein ratio, reflecting adaptation to the organelle’s compact genome and unique translational requirements [41,57,58]. The mt-rRNA modifications are pivotal for maintaining ribosomal integrity and translational efficiency [59]. These modifications include 2′-O-methylation, base methylations (e.g., m62A, m5C, m4C, and m1A), and Ψ, each catalyzed by specific enzymes [46,6062] (Fig. 3, Table S2). Although limited to approximately 10 distinct modification sites in human mt-rRNAs, these modifications are strategically positioned in functionally critical domains of the ribosome, particularly the decoding center and peptidyl transferase center, underscoring their importance in ensuring mitochondrial translation fidelity and efficiency. Notably, recent work revealed that mitochondrial methylation potential, governed by S-adenosylmethionine (SAM), is essential for proper rRNA methylation and mitoribosome assembly, further linking cellular methylation capacity to mitochondrial translation competence [63].

2.2.1 Modifications in mt-12S rRNA

mt-12S rRNA harbors several well-characterized modifications essential for mtSSU assembly and maturation. Among the most functionally significant is the N6, N6-dimethylation of two adjacent adenosines (m62A936 and m62A937), catalyzed by TFB1M. TFB1M localizes to mitochondrial matrix and functions as a dedicated dimethyltransferase for these two sites, whereas its paralog TFB2M (transcription factor B2, mitochondrial) serves a distinct but coordinated role as a transcription initiation factor acting with POLRMT. The exclusive mitochondrial localization of both proteins ensures tight coupling between rRNA dimethylation and transcription initiation [59,64,65]. These residues are located within the A-loop of mt-12S rRNA, forming a functional decoding center and facilitating recruitment of assembly factors such as ribosome binding factor A (RBFA), which stabilizes mtSSU and prepare it for subunit joining [66]. Loss-of-function mutations or knockdown of TFB1M in human cells or mouse models severely compromise mitochondrial translation and OxPhos [67,68]. Moreover, TFB1M/TFB2M variants have been linked to sensorineural hearing loss, impaired mitochondrial function in pancreatic β cells, reduced insulin secretion, and increased type 2 diabetes risks, underscoring the physiologic importance of this methylation event in mitochondrial homeostasis [6870].

Another important modification site is m5C841, probably introduced by NSUN4, a dual-function enzyme that not only methylates this cytosine but also serves as a chaperone-like factor for ribosomal subunit joining in cooperation with mitochondrial rRNA methyltransferase 3 (MRM3) [61,71,72]. NSUN4 deficiency disrupts mitoribosome assembly and reduces mitochondrial protein synthesis [61,71].

Adjacent to C841 is C839, which is methylated at the N4 position to form m4C839 by METTL15 and/or methyltransferase-like protein 17 (METTL17) [62,7375]. Recent studies reveal that METTL15 recognizes 12S rRNA with the assistance of the assembly factor RBFA to ensure accurate C839 methylation during early mtSSU biogenesis [76]. In parallel, METTL17 operates at a later stage, facilitating the maturation of pre-mitoribosomal intermediates [77]. Consistent with these roles, METTL15 loss destabilizes 12S rRNA and impairs early mtSSU assembly, whereas METTL17 deficiency blocks later maturation steps, collectively compromising mitochondrial translation and OxPhos [62,73,74]. Additionally, tRNA Methyltransferase 2 Homolog B (TRMT2B) catalyzes 5-methyluridine at position 429 (m5U429) [78]. Although TRMT2B-deficient cells show only mild under basal conditions, this modification may contribute to RNA structural stability or interact with other rRNA binding proteins under stress conditions.

2.2.2 Modifications in mt-16S rRNA

mt-16S rRNA of the mtLSU contains a higher density of 2′-O-methyl modifications, primarily located in regions involved in tRNA accommodation and peptide bond formation. A key modification is 2′-O-methylguanosine at position 1145 (Gm1145), situated in the P-loop and catalyzed by mitochondrial rRNA methyltransferase 1 (MRM1) [79]. This modification maintains the geometry of the catalytic core where peptidyl-tRNA resides. Depletion of MRM1 disrupts rRNA architecture and leads to global mitochondrial translation defects.

Two additional 2′-O-methylations occur in the A-loop: 2′-O-methyluridine at position 1369 (Um1369), methylated by mitochondrial rRNA methyltransferase 2 (MRM2), and Gm1370, methylated by MRM3 [60,80,81]. These residues coordinate the accommodation of aminoacylated tRNAs and ensure high-fidelity translation elongation. Um1369 is involved in the final maturation steps of the mtLSU. Loss of its writer, MRM2, leads to severe respiratory defects, impaired mitochondrial protein synthesis, and has been associated with human mitochondrial encephalomyopathies [81,82].

N1-methyladenosine at position 947 (m1A947), introduced by TRMT61B [59,60], resides in helix 71 near the intersubunit interface. Its methylation stabilizes tertiary rRNA structure via altered base pairing and charge interactions. Evolutionary conservation of m1A947 among primates suggests its importance, with non-primate mammals’ methylation having a fixed adenine at this site, implying a compensatory adaptation in humans.

Ψ, the isomerization of uridine, enhances base-stacking potential and introduces an additional hydrogen bonding donor. In human mt-16S rRNA, only one Ψ site, Ψ1397, has been unequivocally identified [42,52]. The synthase responsible for this Ψ site remains under debate. An initial study in 143B osteosarcoma cells implicated that RNA Pseudouridine Synthase Domain-Containing Protein 4 (RPUSD4) was responsible for its generation [52]; RPUSD4 depletion leads to a reduction of the steady-state level of mt-16S rRNA, and suppressed biogenesis of mtLSU. However, a subsequent study in HEK293T cells did not demonstrate that RPUSD4 directly catalyzed Ψ1397 formation [83]. This discrepancy highlights the importance of determining which enzyme is truly responsible for pseudouridylation at this site, and whether a common synthase operates across cell types or the process is context dependent. Equally important is determining whether RPUSD4 possesses bona fide enzymatic activity to catalyze Ψ formation and elucidating the mechanism by which Ψ1397 contributes to the steady-state levels of mt-16S rRNA. Does this effect depend on the pseudouridylation activity of RPUSD4, or could it instead involve other, yet uncharacterized, Ψ synthases?

Although human mt-rRNAs contain far fewer modifications than their cytosolic or bacterial counterparts, those present are functionally indispensable. Their relative scarcity likely reflects the necessity to conserve energy in the metabolically constrained mitochondrial matrix. Nevertheless, their precise localization of these modifications suggests a model in which each modification acts as a checkpoint or scaffolding anchor, guiding ribosomal maturation and safeguarding translational fidelity [84,85]. In addition, several modifying enzymes also serve as ribosome assembly factors, such as NSUN4, MRM2, and RPUSD4 [81,86,87]. The dual functions couple chemical modification with structural maturation, ensuring that ribosome quality control is tightly integrated with translational output. Disruption of this coordination may lead to selective translation defects or destabilization of mitoribosomal components.

2.3 mt-tRNA modifications and functions

mt-tRNAs are key components of the mitochondrial translation machinery. They interpret the unique mitochondrial genetic code and ensure accurate synthesis of mitochondria-encoded proteins [40]. Compared with their cytosolic counterparts, mt-tRNAs are smaller and often contain non-canonical secondary structures. Despite these structural peculiarities, they undergo diverse, intricate, and functionally critical post-transcriptional modifications (Fig. 4, Table S3). These modifications support tRNA structural stability, decoding accuracy, and translational efficiency, many of which are evolutionarily conserved [41,88]. Recent studies have considerably expanded our understanding of the chemical nature, enzymes, and physiologic significance of mt-tRNA modifications.

One of the best characterized modification sites is position 9 in mt-tRNAs, where adenine or guanine undergoes N1-methylation of adenine (m1A9) or guanine (m1G9). Their formation is catalyzed by a subcomplex of mitochondrial RNase P, composed of TRMT10C and hydroxysteroid 17-beta dehydrogenase 10 (HSD17B10; also known as MRPP2), together with the endonuclease PRORP (proteinaceous RNase P; also known as MRPP3), which completes the RNase P holoenzyme and is required for efficient 5′-end processing and proper positioning of substrates for methylation [54,8991]. TRMT10C serves as the primary S-adenosylmethionine (SAM)-dependent methyltransferase, whereas HSD17B10 stabilizes TRMT10C and ensures efficient methylation [92]. The methylation at position 9 is present in most mt-tRNAs and acts as a structural anchor that promotes proper folding and prevents mispairing, thereby preserving the functional tRNA conformation. For example, unmodified A9 in mt-tRNALys can mispair with U64, leading to structural misfolding. Mutations in HSD17B10 impair its interaction with TRMT10C, reduce methylation efficiency, and cause mitochondrial disorders such as HSD17B10 disease, characterized by neurodegeneration and cardiomyopathy [9395]. This modification not only ensures correct tRNA folding but also influences its interaction with mitochondrial elongation factors and aminoacyl-tRNA synthetases. Misfolded tRNAs are prone to degradation by mitochondrial surveillance systems, leading to reduced tRNA pools and impaired translation. Reduced m1G9 levels have been linked to translational stalling and defects in OxPhos complex I assembly.

Another critical modification site is position 58 in the T-loop, where TRMT61B installs m1A58 in several human mt-tRNAs, including mt-tRNALys, mt-tRNALeu, and mt-tRNASer [96,97]. The m1A58 modification introduces a positive charge that stabilizes tertiary interactions and promotes tRNA structural integrity. Interestingly, m1A58 might be dynamically regulated by the demethylase AlkB Homolog 1, Histone H2A Dioxygenase (ALKBH1) [98], which responds to oxidative stress and metabolic imbalance. This reversible mechanism suggests that certain mt-tRNA marks could act as rapid sensors of metabolic state, enabling mitochondria to rapidly fine-tune translational output in response to environmental stimuli or disease states.

The anticodon loop of mt-tRNAs, particularly at the wobble position (position 34), is also a hotspot for modifications to decoding fidelity. This position carries a range of modifications, such as 5-formylcytosine (f5C), queuosine (Q), and taurine-containing uridines, including 5-taurinomethyluridine (τm5U) and 5-taurinomethyl-2-thiouridine (τm5s2U), which modulate codon recognition and maintain translation accuracy. A striking case is mt-tRNAMet, in which NOP2/Sun RNA methyltransferase 3 (NSUN3) installs 5-methylcytosine (m5C34) that is subsequently oxidized by ALKBH1 to 5-formylcytosine (f5C34) [99101]. This two-step modification exemplifies how mitochondria use modular chemical pathways to broaden the decoding capacity of a single tRNA species [102]. Loss of NSUN3 or ALKBH1 impairs mitochondrial translation and respiratory chain function, resulting in embryonic lethality in mice. Consistent with these findings, NSUN3 mutations in humans have been associated with mitochondrial encephalomyopathy-like phenotypes, further underscoring the pathological relevance of this mt-tRNAMet modification axis [103105].

Q at position 34, installed by queuine tRNA-ribosyltransferase catalytic subunit 1 (QTRT1)-QTRT2 complex, modifies mt-tRNAs, including mt-tRNATyr, mt-tRNAHis, mt-tRNAAsn, and mt-tRNAAsp [40]. Q34 enhances decoding fidelity and reduces frameshifting [40]. Although direct evidence for Q34 dynamics in mitochondria is still lacking, cellular studies indicate that queuosine incorporation into tRNAs depends on extracellular queuine availability and influences translational accuracy, codon decoding, and global protein synthesis rates [106,107]. These findings raise the possibility that nutrient-dependent variations in queuine levels could indirectly modulate mitochondrial translation through effects on Q-tRNA formation, though this remains to be experimentally demonstrated.

Taurine-containing modifications at U34, including τm5U and its thiolated derivative τm5s2U, are present in mt-tRNALys, mt-tRNAGln, mt-tRNAGlu, mt-tRNALeu(UUR), and mt-tRNATrp [108,109]. These modifications are catalyzed by GTP binding protein 3, mitochondrial (GTPBP3) and mitochondrial tRNA translation optimization 1 (MTO1), with thiolation mediated by tRNA mitochondrial 2-thiouridylase (TRMU; also known as MTU1) [108,109]. Functionally, τm5U/τm5s2U enhance base-pairing specificity with purine-ending codons, ensuring accurate decoding of lysine, glutamine, and glutamate codons. Recent studies have revealed that the mitochondrial folate enzyme serine hydroxymethyltransferase-2 (SHMT2) provides essential one-carbon units for τm5U modification [110]. Loss of SHMT2 activity impairs τm5U formation, leading to codon-specific ribosome stalling and defective synthesis of respiratory chain proteins [110]. These findings not only underscore the functional importance of U34 modifications but also reveal that their efficiency is influenced by cellular metabolic state, raising the possibility that τm5U/τm5s2U levels may vary across tissues or disease contexts with distinct one-carbon metabolic profiles. Yet this possibility remains largely untested. Mutations in these modifying enzymes or the tRNAs themselves are associated with classical mitochondrial diseases, such as MELAS (mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes) and MERRF (myoclonic epilepsy with ragged red fibers), indicating the clinical significance of τm5U/τm5s2U modifications. For example, the mt-tRNALeu mutation m.3243A>G impairs τm5U34 modification, reducing MT-ND6 expression and contributing to MELAS pathology [111]. Moreover, TRMU mutations have been linked to infantile liver failure and can modulate the severity of phenotypes caused by primary mt-DNA mutations [112], highlighting a genetic interaction between nuclear-encoded tRNA modifiers and mt-DNA mutations.

Position 37, adjacent to the anticodon, is also heavily modified to preserve the reading frame and facilitate accurate codon-anticodon pairing. The characterized modifications include m1G37 (methylated guanine), i6A37 (N6-isopentenyladenosine), ms2i6A37 (2-methylthio-i6A), and t6A (N6-threonylcarbamoyladenosine). tRNA methyltransferase 5 (TRMT5) installs m1G37 methylation in mt-tRNAGln and mt-tRNALeu, preventing + 1 frameshifting; mutations in TRMT5 caused lactic acidosis and impaired mitochondrial protein synthesis and OxPhos. tRNA isopentenyltransferase 1 (TRIT1) generates i6A37 in mt-tRNAPhe, mt-tRNASer, mt-tRNATrp, and mt-tRNATyr, which can be further thiolated ms2i6A37 by tRNA methylthiotransferase CDK5RAP1 (CDK5 regulatory subunit associated protein 1), enhancing decoding of UNN codons [113]. Defects in this pathway have been implicated in cardiomyopathy and skeletal muscle diseases in mouse models. Mutations in TRIT1 or defects in the tRNA substrates can abolish this modification, contributing to mitochondrial pathologies in humans [114]. Another essential modification is N6-threonylcarbamoyladenosine (t6A37), occurring in mt-tRNAIle, mt-tRNALys, mt-tRNAAsn, mt-tRNASer, and mt-tRNAThr. YrdC domain-containing protein (YRDC) synthesizes the intermediate threonylcarbamoyl-AMP, which serves as a substrate for O-sialoglycoprotein endopeptidase-like 1 (OSGEPL1) that transfers the threonylcarbamoyl moiety to the A37 position of tRNA to generate t6A37 [40,115,116]. This modification enhances stacking interactions with codons during translation initiation and improves decoding fidelity.

In addition, several other sites within mt-tRNAs are chemically altered to stabilize structure and function. N2-methylguanosine (m2G) occurs at positions 10 and 26, while m5C is frequently found at positions 48 to 50 [117,118]. Although NOP2/Sun RNA methyltransferase 2 (NSUN2) is best known for its nuclear and cytosolic functions, recent studies have revealed a mitochondrial pool of NSUN2 that catalyzes m5C formation at these positions in specific mt-tRNAs [40,118]. The 5-methyluridine (m5U54) modification, catalyzed by TRMT2B, is another stabilizing modification [78,119]. Recent work has further expanded this repertoire by identifying 3-methylcytidine (m3C) as a mitochondria-specific tRNA modification. The mitochondrial methyltransferase-like protein 8 (METTL8) installs m3C on mt-tRNAThr and mt-tRNASer, and METTL8 loss reduces mitochondrial translation and respiratory capacity, underscoring m3C as a functionally important mt-tRNA modification [120,121]. Ψ is abundant at conserved sites such as Ψ27, Ψ28, and Ψ39 [52,83,122]. These modifications, probably catalyzed by enzymes such as Pseudouridine Synthase 1 (PUS1) and RPUSD4, are essential for maintaining mt-tRNA structural stability and ensuring accurate mitochondrial translation [52,83,123,124]. Notably, PUS1 is dual-localized, and only its mitochondrial pool contributes to mt-tRNA pseudouridylation, underscoring its specific role in sustaining mitochondrial translation fidelity. The pathological relevance of tRNA pseudouridylation is exemplified by mutations in PUS1, which cause MLASA (mitochondrial myopathy, lactic acidosis, and sideroblastic anemia) syndrome [124,125]. Recent studies have further demonstrated that loss of PUS1-mediated pseudouridylation reduces mitochondrial tRNA levels, impairs translation, and disrupts erythropoiesis, establishing a direct link between tRNA modification defects and anemia phenotypes [126]. Dihydrouridine (D), catalyzed by dihydrouridine synthase 2 (DUS2) at position 20 in mt-tRNALeu and mt-tRNASer, increases the flexibility of the D-loop region and supports proper tRNA folding [40,41,127,128].

Although mt-tRNAs harbor fewer modification types than their cytosolic counterparts, about 18 types across 137 positions, their functional impact is disproportionately significant [3941]. Anticodon modifications directly shape decoding scope and fidelity, while modifications within core and stem-loop regions modulate tRNA folding, recognition, and translational coordination [41]. Increasing evidence supports the notion that these modifications are not merely static chemical decorations but are dynamically regulated in response to environmental, cellular, or metabolic cues. Moreover, some mt-tRNA-modifying enzymes also act on rRNAs or coordinate with other mitochondrial gene expression machinery, pointing to broader regulatory networks.

While the studies summarized above describe the fundamental roles of mt-RNA modifications in mitochondrial transcript processing and translation, accumulating evidence suggests that these processes may vary substantially across physiologic contexts. Multiple transcriptomic profiling studies in buffalo have consistently shown pronounced tissue-specific differences in nuclear-encoded mitochondrial genes across amino acid, lipid, and carbohydrate metabolism, ATP synthase assembly, and mitochondrial biogenesis [129132]. Likewise, mtDNA-encoded tRNAs and rRNAs display marked variation in abundance across tissues, indicating that the mt-RNA substrate landscape itself is tissue dependent [133]. In line with these observations, large-scale analyses of human tissues have revealed substantial tissue-specific heterogeneity in m1A/G modification levels and demonstrated that such variation is shaped by nuclear genetic regulators, including TRMT61B, MRPP3, and LONP1, with downstream associations to mitochondrial RNA processing efficiency and disease-related traits [134]. Notably, human multi-tissue analyses further showed that the functional consequences of these modifications also differ across tissues. For example, the negative correlation between m1A947 or m1A1812 modification levels and mtDNA gene expression observed in many tissues is absent in the brain, and both modification levels and their expression coupling can shift in response to environmental stimuli such as sunlight or UV exposure [135]. These findings underscore that mt-RNA modifications vary across different physiologic contexts and may shift further under disease conditions. This provides an important basis for understanding their emerging roles in cancer.

3 Role of mt-RNA modifications in cancer

Mitochondria, traditionally regarded as the cell’s powerhouses, are now recognized as integrative hubs for signal transduction, biosynthesis, metabolic reprogramming, and immune regulation, functions intertwined with cancer initiation and progression [4,136,137]. Among the multiple layers governing mitochondrial gene expression and function, post-transcriptional modifications of mt-RNAs, particularly mt-tRNAs and mt-rRNAs, represent a relatively understudied yet functionally critical mechanism. These chemical modifications fine-tune RNA structure and translation fidelity, facilitate respiratory chain assembly, and enhance metabolic plasticity, thereby enabling cancer cells to survive within hostile microenvironments and to withstand therapeutic stress.

Recent large-scale genomic studies have revealed widespread alterations in mt-RNA modifications across various tumor types, with m1A and m1G modifications in mt-tRNAs showing strong associations with nuclear genetic variation and patient outcomes [138]. These findings indicate that mt-RNA modification states are neither static nor uniform across cancers but instead reflect tumor-specific selective pressures on mitochondrial function. Building on these findings, accumulating evidence links dysregulated mt-RNA modifications to key oncogenic traits, including metastatic adaptation, immune evasion, and chemotherapy resistance [39,139142]. This section synthesizes current insights into how mt-RNA modifications contributes to these hallmarks of tumor aggressiveness, highlighting its potential as a translational target.

3.1 mt-RNA modifications and metabolic plasticity in metastasis

Metastasis, the primary cause of cancer mortality, is a complex, multistep process that requires tumor cells to detach from the primary tumor, invade surrounding tissue, survive in the circulatory system, and colonize distant organs [143145]. A defining feature of metastatic cells is their remarkable metabolic plasticity, which enables survival in fluctuating microenvironments marked by hypoxia, nutrient deprivation, and oxidative stress. Mitochondria, as key regulators of energy production and redox balance, are central to this adaptability.

Among various mt-RNA modifications, the NSUN3 (NOP2/Sun domain family member 3)–ALKBH1 (alkB homolog 1) axis plays a pivotal role in supporting metabolic plasticity during metastasis. This pathway sequentially converts m5C to f5C at the wobble position of mt-tRNAMet, thereby expanding codon recognition and enhancing mitochondrial translation efficiency during the glycolysis-to-OxPhos transition [39]. Metastatic cancer cells with high m5C and f5C levels display increased OxPhos and invasive potential, whereas loss of these modifications restricts cells to glycolytic metabolism and impairs metastatic dissemination.

Beyond the tRNA modification network, the mitochondrial RNA methyltransferase METTL17 has emerged as another key regulator of mitochondrial translation and tumor metabolism. Elevated METTL17 expression promotes OxPhos and tumor progression, while its loss disrupts mitochondrial rRNA methylation, impairs translation, and sensitizes colorectal cancer cells to ferroptosis [140]. Our recent work [146] further revealed that METTL17 catalyzes m4C and m5C modifications on mt-12S rRNA, sustaining mitochondrial translation and oxidative metabolism in acute myeloid leukemia (AML). Genetic or pharmacologic inhibition of METTL17 abrogated mitochondrial function and suppressed leukemogenesis.

Thus, these findings support a model in which mt-RNA modifications and their modifiers modulate metabolic switches, enabling tumor cells to meet energetic and redox demands during metastatic progression and thereby sustain invasion and colonization.

3.2 mt-RNA modifications and anti-tumor immunity

The mt-RNA modifications are emerging as critical modulators of anti-tumor immunity. Multi-omics analyses across diverse tumor types now demonstrate that variation in mt-rRNA and mt-tRNA modification pathways aligns with distinct immune infiltration states, T cell activation profiles, and responses to immune checkpoint blockade [147]. These observations suggest a potential role for mt-RNA modifications in shaping the immunological landscape of tumor microenvironment (TME).

In gliomas, a comprehensive analysis of nine mt-rRNA modification regulators identified two subtypes, mt-rRNA modification 1 (RM1) and RM2, that display distinct immune landscapes [147]. RM2 tumors exhibited an immune-inflamed phenotype with enriched adaptive immune signatures and improved anti-PD-1 responsiveness, whereas RM1 tumors displayed an immune-excluded phenotype marked by the presence of innate immune cells. Building on these findings, an mt-rRNA modification-based scoring model was developed to stratify glioma patients by immune infiltration, molecular features, and predicted therapeutic outcomes. Additional integrative bulk and single-cell transcriptomic analyses of lower-grade gliomas (LGGs) further revealed that several mt-RNA modification regulators, such as GTPBP3 and NSUN4, exhibit cell-type-specific expression and correlate with key immune checkpoints (e.g., HAVCR2, PVR, TNFRSF25, and TNFSF15) [141]. Higher mt-RNA modification scores were associated with enhanced immune cell infiltration and improved checkpoint blockade response [141]. These correlative data sets suggest that mt-RNA modification programs may track with or contribute to immune remodeling, though whether these modification patterns are causal modulators or downstream reflections of metabolic state remains unresolved.

Mechanistic studies now provide independent support for a causal connection between mt-RNA modification and immune activation. NSUN4, traditionally known for its role in mitoribosome maturation, was recently shown to methylate mitochondrial double-stranded RNAs (mt-dsRNAs), promoting their degradation through the C1QBP (complement C1q binding protein)–PNPT1(polynucleotide phosphorylase 1) pathway. Loss of NSUN4 results in cytosolic accumulation of mt-dsRNAs and activation of innate immune signaling [148]. Extending these insights into cancer, our recent work identified that RPUSD4, a mitochondrial pseudouridine synthase, contributes to immune evasion in AML via suppressing “viral-mimicry” pathways [149].

Beyond tumor-intrinsic mechanisms, mitochondria are also pivotal for immune cell function, particularly in T cell activation, differentiation, and memory formation [150154]. These processes rely on coordinated remodeling of OxPhos, glycolysis, and mitochondrial dynamics [155158]. Whether mt-RNA modifications themselves tune mitochondrial translation to support the metabolic demands of distinct T cell states remains an open question. Notably, several mt-RNA modifying enzymes exhibit cell-type-specific expression within immune subsets in single-cell data sets, raising the possibility of immunocyte-intrinsic epitranscriptomic regulation. However, direct experimental evidence in T cells is currently lacking, and this area represents an important direction for future investigation.

Collectively, these findings indicate the emerging paradigm wherein mt-RNA modifications influence tumor-immune interactions through their impacts on mitochondrial translation, metabolism, and signaling within both cancer and immune cells. This positions the mitochondrial epitranscriptome as a previously underappreciated yet potentially targetable layer of immune regulation. Future mechanistic studies dissecting the cell-type-specific and context-dependent roles of distinct mt-RNA modifiers will be crucial for harnessing this axis to overcome immune resistance and improve immunotherapeutic outcomes.

3.3 mt-RNA modifications in tumor aggressiveness and drug resistance

Beyond metastasis and immune evasion, mt-RNA modifications also promote tumor aggressiveness and therapeutic resistance. By sustaining mitochondrial translation and respiration, they enable cancer cells to adapt to therapeutic stress, maintain bioenergetic flexibility, and evade cell death. mt-RNA modifications actively contribute to the malignant phenotype by enhancing cellular fitness under conditions of selective pressure. Recent studies have begun to delineate how specific mt-RNA modification enzymes orchestrate these adaptive responses across diverse cancer types.

Similarly, METTL8 introduces m3C modifications in mt-tRNASer and mt-tRNAThr, maintaining translational fidelity and preventing ribosome stalling, particularly during synthesis of essential OxPhos components such as MT-ND6 [121,159161]. In pancreatic cancer [120], METTL8 is frequently overexpressed and correlates with poor prognosis. It enhances mitochondrial respiration and confers chemotherapy resistance. In glioblastoma [162], METTL8 expression is driven by H2AZ-mediated HIF1α (hypoxia-inducible factor 1 alpha) activation, linking mt-RNA modifications to stemness and hypoxia signaling.

In lung cancer, reduced dihydrouridine levels upon DUS2 knockout correlate with impaired mitochondrial protein synthesis and increased apoptosis [163,164]. In AML, therapy-resistant cells rely on TRMT5-mediated m1G37 modification in mt-tRNAs to sustain OxPhos during cytarabine or venetoclax treatment [142]. Loss of m1G37 impairs mitochondrial protein synthesis and re-sensitizes resistant AML cells to chemotherapy. These observations establish a direct mechanistic link between mt-tRNA modifications and therapy-induced metabolic adaptation, highlighting that epitranscriptomic plasticity may underlie the persistence of chemoresistant tumor cell populations.

3.4 Therapeutic targeting of mitochondrial RNA modifiers in cancer

The mt-RNA-modifying enzymes are increasingly recognized as potential vulnerabilities in cancer, given their essential roles in sustaining mitochondrial translation, OxPhos capacity, redox homeostasis, and stress adaptation in tumor cells. Although the field is still emerging, integrative transcriptomic and epitranscriptomic analyses suggest that several mt-RNA modifiers, including NSUN3, NSUN4, TRMT5, METTL8, METTL17, and RPUSD4, are dysregulated or functionally essential in diverse malignancies, highlighting the therapeutic potential of selectively disrupting mt-RNA modification pathways.

A key challenge for exploiting these vulnerabilities is specific and efficient delivery of agents into mitochondria. Exogenous RNA molecules do not naturally traverse mitochondrial membranes, and mitochondria lack conventional RNA-import machinery. Nonetheless, several experimental strategies have begun to address this barrier. Mitochondria-targeted delivery systems based on mitochondria-penetrating peptides, cationic moieties such as triphenylphosphonium (TPP+), and MITO-Porter–type lipid nanoparticles have been used to concentrate nucleic acids and small molecules within mitochondria, enabling efficient silencing of mitochondrial genes or modulation of mitochondrial non-coding RNAs in preclinical models [165168]. In parallel, exosome-based platforms have been engineered to carry antisense oligonucleotides against mitochondrial antisense noncoding RNAs (ASncmtRNAs), achieving mitochondrial accumulation and potent antitumor activity in breast cancer models [169]. Building on this line of work, an antisense oligonucleotide targeting ASncmtRNAs (Andes-1537) has already advanced to a first-in-human phase I trial in patients with advanced solid tumors, providing proof-of-concept that mitochondria-directed RNA therapeutics are clinically feasible [170].

A second consideration is enzyme selectivity and therapeutic window. Many mt-RNA modifiers carry out essential functions in healthy tissues, raising concerns regarding on-target toxicity if they are systemically inhibited. For example, pathogenic loss-of-function mutations in NSUN3 disrupt m5C→f5C modification at the wobble base of mt-tRNAMet, impairing mitochondrial translation and causing combined respiratory-chain deficiencies and early-onset mitochondrial disease [99,100,104]. Similarly, mutations in TRMT10C lead to fatal infantile mitochondrial encephalomyopathy with multiple OXPHOS deficits [54]. TRMT5, which installs m1G37 on both mitochondrial and nuclear tRNAs, is also necessary for proper mitochondrial translation, and its deficiency leads to respiratory-chain dysfunction in human disease models [171]. Despite these essential physiologic roles, accumulating evidence indicates that cancer cells may exhibit disproportionately elevated reliance on specific mt-RNA modifiers. NSUN3 is upregulated in several human cancers and promotes tumor cell invasion, mitochondrial metabolic reprogramming, and immunomodulatory remodeling [172,173]. METTL8, which installs m3C on selected mt-tRNAs, is required for mitochondrial protein synthesis and neural stem-cell maintenance in vivo [174]. In glioblastoma, METTL8 overexpression sustains glioma stem-cell self-renewal and tumorigenicity [162]. METTL17, a mitoribosome-associated RNA binding protein, stabilizes 12S mt-rRNA and acts as an Fe–S–cluster–dependent checkpoint for translation of mitochondrial OxPhos subunits; its loss impairs mitochondrial translation and proliferation [75,175]. Together, these findings suggest that tumors with high reliance on mitochondrial translation, elevated OxPhos activity, or enrichment of stem-like cell states may be particularly vulnerable to perturbation of mt-tRNA and mt-rRNA modification pathways. Our own recent work further demonstrates that targeting METTL17 or RPUSD4 with CpG-conjugated siRNAs selectively disrupts mitochondrial translation in leukemia cells but not normal hematopoietic stem cells, highlighting ligand-directed, tumor-restricted delivery as a viable path toward clinical translation [146,149].

Taken together, these advances point to mt-RNA modifications and their regulatory enzymes as a promising, but still nascent, frontier for anticancer therapy. Continued development of mitochondria-targeted delivery systems (e.g., MITO-porter nanoparticles, mitochondria-penetrating peptides, exosome-based carriers), along with selective inhibitors or degraders of mitochondrial RNA modifiers and rational combination strategies with standard-of-care agents, will be critical to convert mitochondrial epitranscriptomic vulnerabilities into clinically actionable interventions.

4 Discussion and future directions

Epitranscriptomics, or RNA epigenetics, refers to the diverse post-transcriptional RNA modifications, adding a sophisticated layer of gene expression regulation beyond canonical central dogma. The discovery of chemical modifications in mt-RNAs, including mt-mRNAs, extends this concept to mitochondria. Those mt-RNA modifications are particularly important because the mitochondrial gene expression is predominantly controlled post-transcriptionally. While various mt-RNA modifications have been identified, our current understanding of mitochondrial epitranscriptomics remains in its infancy. Emerging evidence suggests that dysregulation of mt-RNA modifiers contributes to tumorigenesis, yet the precise underlying mechanisms remain largely undefined.

We highlight several key directions and knowledge gaps for advancing mt-RNA modifications in cancer. (1) Systematic characterization of mt-RNA modification machinery: as we summarize above, for the majority of the detected mt-RNA modifications, their responsible regulators, especially potential “readers” and “erasers” (if there are), remain unknown. Defining these components is essential to understand the dynamics and reversibility of mt-RNA modification machinery and to reveal how they determine mt-RNA fate, translation efficacy, and mitochondrial function. To move this field forward, more systematic discovery strategies will be required. Clustered regularly interspaced short palindromic repeats (CRISPR)-based loss-of-function or CRISPR interference (CRISPRi) perturbation screens, particularly when coupled with mitochondrial translation or metabolic reporters, represent a promising approach to uncover nuclear-encoded factors whose perturbation influences mt-RNA metabolism and may point to candidate regulators of specific mt-RNA modifications. Complementary methods such as APEX2 (engineered ascorbate peroxidase 2)-mediated mitochondrial proximity labeling and RNA–protein interaction profiling (e.g., CLIP-seq (cross-linking immunoprecipitation sequencing) or RNA pulldown–mass spectrometry) can further identify proteins that bind, interpret, or modulate modified mt-RNAs. Integrating insights from these complementary approaches will help reconstruct a more complete mt-RNA modification machinery and clarify how individual components influence mitochondrial gene expression and function. (2) Development of accurate, quantitative profiling methodologies for mt-RNA modifications: high variability in reported mt-RNA modifications highlights the need for sensitive and standardized methods. For example, the role of RPUSD4 in catalyzing Ψ1397 is still debated [52,83], likely reflecting methodological differences or context-dependent modification patterns. Thus, accurate and high-resolution, especially single-base resolution, detection is critical for dissecting the functional consequences of mt-RNA modifications. Approaches such as direct RNA nanopore sequencing, chemical-assisted single-base mapping, and liquid chromatography–tandem mass spectrometry (LC–MS/MS)-based quantification can provide more precise and quantitative profiling of individual mt-RNA modifications. For example, Nano-tRNAseq uses nanopore direct RNA sequencing to measure tRNA abundance and modification dynamics in native molecules, while MoDorado enhances RNA-modification detection accuracy on direct RNA and tRNA nanopore data, and together these method developments illustrate how nanopore-based platforms can be adapted to systematically map mt-RNA modifications [176,177]. (3) Elucidation of mt-RNA modifications-mediated retrograde signaling pathways: over 99% of mitochondrial proteins, including all mt-RNA modifiers, are nuclear-encoded, synthesized in the cytoplasm, and then imported into mitochondria. A fundamental and intriguing question is whether, and if so, how dysregulation of mt-RNA modifiers and/or their corresponding modifications can retrogradely regulate nuclear gene expression, coordinating mitochondrial and nuclear activities? Addressing this question will require experimental systems that allow precise perturbation of individual mt-RNA modifiers together with comprehensive profiling of downstream cellular responses. Conditional knockout or inducible perturbation systems in defined cell types or tumor models can help define their roles in mito-nuclear communication. Integrating bulk and single-cell RNA-seq, ATAC-seq (assay for transposase-accessible chromatin sequencing), and chromatin profiling with these models can reveal how changes in mt-RNA modifications reshape nuclear transcriptional programs and chromatin states. Together, these strategies can begin to map the pathways through which mt-RNA modifications regulate nuclear gene expression and cellular phenotypes. (4) Therapeutic targeting mt-RNA modifications in cancer: targeting mt-RNA modifications represents a promising avenue for translational medicine, with potential to inhibit tumor growth, overcome chemotherapy resistance, and enhance anti-tumor immune responses. Building on emerging evidence that several mt-RNA modifiers exhibit context-dependent cancer vulnerabilities, their therapeutic potential will depend on strategies that achieve greater selectivity, efficient delivery, and an acceptable therapeutic window. Given the potential toxicity of broad mitochondrial inhibition, developing approaches that enable tumor-preferential and mitochondria-directed modulation are essential. These may include mitochondria-targeted peptides, ligand- or antibody-conjugated nanoparticles, or oligonucleotide-based therapeutics optimized for mitochondrial import. Engineering drug activation or modifier inhibition through tumor- or microenvironment-responsive mechanisms may further reduce off-tumor toxicity. Systematic evaluation of these delivery platforms, together with careful assessment of on-target activity and safety in normal tissues, will be critical for advancing mt-RNA modification–based therapies.

Collectively, these challenges outline a roadmap for mitochondrial epitranscriptomics in both fundamental biology and oncology. Integrating mechanistic insights with advanced detection technologies and targeted therapeutic strategies holds the potential to transform our basic understanding of mitochondrial biology into cancer and to unlock a new class of precision therapies.

References

[1]

Pfanner N , Warscheid B , Wiedemann N . Mitochondrial proteins: from biogenesis to functional networks. Nat Rev Mol Cell Biol 2019; 20(5): 267–284

[2]

Wang S , Long H , Hou L , Feng B , Ma Z , Wu Y , Zeng Y , Cai J , Zhang DW , Zhao G . The mitophagy pathway and its implications in human diseases. Signal Transduct Target Ther 2023; 8(1): 304

[3]

Sharma P , Sampath H . Mitochondrial DNA integrity: role in health and disease. Cells 2019; 8(2): 100

[4]

Vasan K , Werner M , Chandel NS . Mitochondrial metabolism as a target for cancer therapy. Cell Metab 2020; 32(3): 341–352

[5]

Zong WX , Rabinowitz JD , White E . Mitochondria and cancer. Mol Cell 2016; 61(5): 667–676

[6]

Porporato PE , Filigheddu N , Pedro JMB , Kroemer G , Galluzzi L . Mitochondrial metabolism and cancer. Cell Res 2018; 28(3): 265–280

[7]

Vyas S , Zaganjor E , Haigis MC . Mitochondria and cancer. Cell 2016; 166(3): 555–566

[8]

Lu H , Tong W , Jiang M , Liu H , Meng C , Wang K , Mu X . Mitochondria-targeted multifunctional nanoprodrugs by inhibiting metabolic reprogramming for combating cisplatin-resistant lung cancer. ACS Nano 2024; 18(32): 21156–21170

[9]

Zhao Y , Guo X , Zhang L , Wang D , Li Y . Mitochondria: a crucial factor in the progression and drug resistance of colorectal cancer. Front Immunol 2024; 15: 1512469

[10]

Ikeda H , Kawase K , Nishi T , Watanabe T , Takenaga K , Inozume T , Ishino T , Aki S , Lin J , Kawashima S , Nagasaki J , Ueda Y , Suzuki S , Makinoshima H , Itami M , Nakamura Y , Tatsumi Y , Suenaga Y , Morinaga T , Honobe-Tabuchi A , Ohnuma T , Kawamura T , Umeda Y , Nakamura Y , Kiniwa Y , Ichihara E , Hayashi H , Ikeda JI , Hanazawa T , Toyooka S , Mano H , Suzuki T , Osawa T , Kawazu M , Togashi Y . Immune evasion through mitochondrial transfer in the tumour microenvironment. Nature 2025; 638(8049): 225–236

[11]

Mahmood M , Liu EM , Shergold AL , Tolla E , Tait-Mulder J , Huerta-Uribe A , Shokry E , Young AL , Lilla S , Kim M , Park T , Boscenco S , Manchon JL , Rodríguez-Antona C , Walters RC , Springett RJ , Blaza JN , Mitchell L , Blyth K , Zanivan S , Sumpton D , Roberts EW , Reznik E , Gammage PA . Mitochondrial DNA mutations drive aerobic glycolysis to enhance checkpoint blockade response in melanoma. Nat Cancer 2024; 5(4): 659–672

[12]

Taanman JW . The mitochondrial genome: structure, transcription, translation and replication. Biochim Biophys Acta Bioenerg 1999; 1410(2): 103–123

[13]

Sahayasheela VJ , Yu Z , Hidaka T , Pandian GN , Sugiyama H . Mitochondria and G-quadruplex evolution: an intertwined relationship. Trends Genet 2023; 39(1): 15–30

[14]

Anderson S , Bankier AT , Barrell BG , de Bruijn MH , Coulson AR , Drouin J , Eperon IC , Nierlich DP , Roe BA , Sanger F , Schreier PH , Smith AJH , Staden R , Young IG . Sequence and organization of the human mitochondrial genome. Nature 1981; 290(5806): 457–465

[15]

Yan C , Duanmu X , Zeng L , Liu B , Song Z . Mitochondrial DNA: distribution, mutations, and elimination. Cells 2019; 8(4): 379

[16]

Mishra P , Chan DC . Mitochondrial dynamics and inheritance during cell division, development and disease. Nat Rev Mol Cell Biol 2014; 15(10): 634–646

[17]

Nicholls TJ , Gustafsson CM . Separating and segregating the human mitochondrial genome. Trends Biochem Sci 2018; 43(11): 869–881

[18]

Wallace DC . Mitochondria and cancer. Nat Rev Cancer 2012; 12(10): 685–698

[19]

Falkenberg M , Larsson NG , Gustafsson CM . Replication and transcription of human mitochondrial DNA. Annu Rev Biochem 2024; 93(1): 47–77

[20]

Tan BG , Mutti CD , Shi Y , Xie X , Zhu X , Silva-Pinheiro P , Menger KE , Díaz-Maldonado H , Wei W , Nicholls TJ , Chinnery PF , Minczuk M , Falkenberg M , Gustafsson CM. . The human mitochondrial genome contains a second light strand promoter.. Mol Cell 2022; 82(19): 3646–3660.e9

[21]

Lambert L , Moretton A , Farge G . Post-transcriptional modifications and regulation of mRNAs in human mitochondria. Biochimie 2025; 238(Pt A): 9–18

[22]

Zhao BS , Roundtree IA , He C . Post-transcriptional gene regulation by mRNA modifications. Nat Rev Mol Cell Biol 2017; 18(1): 31–42

[23]

Livneh I , Moshitch-Moshkovitz S , Amariglio N , Rechavi G , Dominissini D . The m6A epitranscriptome: transcriptome plasticity in brain development and function. Nat Rev Neurosci 2020; 21(1): 36–51

[24]

Haruehanroengra P , Zheng YY , Zhou Y , Huang Y , Sheng J . RNA modifications and cancer. RNA Biol 2020; 17(11): 1560–1575

[25]

Li Y , Xue M , Deng X , Dong L , Nguyen LXT , Ren L , Han L , Li C , Xue J , Zhao Z , Li W , Qing Y , Shen C , Tan B , Chen Z , Leung K , Wang K , Swaminathan S , Li L , Wunderlich M , Mulloy JC , Li X , Chen H , Zhang B , Horne D , Rosen ST , Marcucci G , Xu M , Li Z , Wei M , Tian J , Shen B , Su R , Chen J. . TET2-mediated mRNA demethylation regulates leukemia stem cell homing and self-renewal.. Cell Stem Cell 2023; 30(8): 1072–1090.e10

[26]

Han L , Dong L , Leung K , Zhao Z , Li Y , Gao L , Chen Z , Xue J , Qing Y , Li W , Pokharel SP , Gao M , Chen M , Shen C , Tan B , Small A , Wang K , Zhang Z , Qin X , Yang L , Wunderlich M , Zhang B , Mulloy JC , Marcucci G , Chen CW , Wei M , Su R , Chen J , Deng X. . METTL16 drives leukemogenesis and leukemia stem cell self-renewal by reprogramming BCAA metabolism.. Cell Stem Cell 2023; 30(1): 52–68.e13

[27]

Qing Y , Dong L , Gao L , Li C , Li Y , Han L , Prince E , Tan B , Deng X , Wetzel C , Shen C , Gao M , Chen Z , Li W , Zhang B , Braas D , Ten Hoeve J , Sanchez GJ , Chen H , Chan LN , Chen CW , Ann D , Jiang L , Müschen M , Marcucci G , Plas DR , Li Z , Su R , Chen J. . R-2-hydroxyglutarate attenuates aerobic glycolysis in leukemia by targeting the FTO/m(6)A/PFKP/LDHB axis.. Mol Cell 2021; 81(5): 922–939.e9

[28]

Li Z , Weng H , Su R , Weng X , Zuo Z , Li C , Huang H , Nachtergaele S , Dong L , Hu C , Qin X , Tang L , Wang Y , Hong GM , Huang H , Wang X , Chen P , Gurbuxani S , Arnovitz S , Li Y , Li S , Strong J , Neilly MB , Larson RA , Jiang X , Zhang P , Jin J , He C , Chen J . FTO plays an oncogenic role in acute myeloid leukemia as a N6-methyladenosine RNA demethylase. Cancer Cell 2017; 31(1): 127–141

[29]

Dou X , Xiao Y , Shen C , Wang K , Wu T , Liu C , Li Y , Yu X , Liu J , Dai Q , Pajdzik K , Ye C , Ge R , Gao B , Yu J , Sun S , Chen M , Chen J , He C . RBFOX2 recognizes N6-methyladenosine to suppress transcription and block myeloid leukaemia differentiation. Nat Cell Biol 2023; 25(9): 1359–1368

[30]

Cheng Y , Xie W , Pickering BF , Chu KL , Savino AM , Yang X , Luo H , Nguyen DT , Mo S , Barin E , Velleca A , Rohwetter TM , Patel DJ , Jaffrey SR , Kharas MG. . N6-Methyladenosine on mRNA facilitates a phase-separated nuclear body that suppresses myeloid leukemic differentiation.. Cancer Cell 2021; 39(7): 958–972.e8

[31]

Paris J , Morgan M , Campos J , Spencer GJ , Shmakova A , Ivanova I , Mapperley C , Lawson H , Wotherspoon DA , Sepulveda C , Vukovic M , Allen L , Sarapuu A , Tavosanis A , Guitart AV , Villacreces A , Much C , Choe J , Azar A , van de Lagemaat LN , Vernimmen D , Nehme A , Mazurier F , Somervaille TCP , Gregory RI , O'Carroll D , Kranc KR. . Targeting the RNA m6A reader YTHDF2 selectively compromises cancer stem cells in acute myeloid leukemia.. Cell Stem Cell 2019; 25(1): 137–148.e6

[32]

Vu LP , Pickering BF , Cheng Y , Zaccara S , Nguyen D , Minuesa G , Chou T , Chow A , Saletore Y , MacKay M , Schulman J , Famulare C , Patel M , Klimek VM , Garrett-Bakelman FE , Melnick A , Carroll M , Mason CE , Jaffrey SR , Kharas MG . The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells. Nat Med 2017; 23(11): 1369–1376

[33]

Barbieri I , Tzelepis K , Pandolfini L , Shi J , Millan-Zambrano G , Robson SC , Aspris D , Migliori V , Bannister AJ , Han N , De Braekeleer E , Ponstingl H , Hendrick A , Vakoc CR , Vassiliou GS , Kouzarides T . Promoter-bound METTL3 maintains myeloid leukaemia by m(6)A-dependent translation control. Nature 2017; 552(7683): 126–131

[34]

Du W , Huang Y , Chen X , Deng Y , Sun Y , Yang H , Shi Q , Wu F , Liu G , Huang H , Ding J , Huang X , Xu S. . Discovery of a PROTAC degrader for METTL3-METTL14 complex.. Cell Chem Biol 2024; 31(1): 177–183.e17

[35]

Su R , Dong L , Li Y , Gao M , Han L , Wunderlich M , Deng X , Li H , Huang Y , Gao L , Li C , Zhao Z , Robinson S , Tan B , Qing Y , Qin X , Prince E , Xie J , Qin H , Li W , Shen C , Sun J , Kulkarni P , Weng H , Huang H , Chen Z , Zhang B , Wu X , Olsen MJ , Müschen M , Marcucci G , Salgia R , Li L , Fathi AT , Li Z , Mulloy JC , Wei M , Horne D , Chen J. . Targeting FTO suppresses cancer stem cell maintenance and immune evasion.. Cancer Cell 2020; 38(1): 79–96.e11

[36]

Huang Y , Su R , Sheng Y , Dong L , Dong Z , Xu H , Ni T , Zhang ZS , Zhang T , Li C , Han L , Zhu Z , Lian F , Wei J , Deng Q , Wang Y , Wunderlich M , Gao Z , Pan G , Zhong D , Zhou H , Zhang N , Gan J , Jiang H , Mulloy JC , Qian Z , Chen J , Yang CG . Small-molecule targeting of oncogenic FTO demethylase in acute myeloid leukemia. Cancer Cell 2019; 35(4): 677–691.e10

[37]

Su R , Dong L , Li C , Nachtergaele S , Wunderlich M , Qing Y , Deng X , Wang Y , Weng X , Hu C , Yu M , Skibbe J , Dai Q , Zou D , Wu T , Yu K , Weng H , Huang H , Ferchen K , Qin X , Zhang B , Qi J , Sasaki AT , Plas DR , Bradner JE , Wei M , Marcucci G , Jiang X , Mulloy JC , Jin J , He C , Chen J . R-2HG exhibits anti-tumor activity by targeting FTO/m6A/MYC/CEBPA signaling. Cell 2018; 172(1–2): 90–105.e23

[38]

Weng H , Huang F , Yu Z , Chen Z , Prince E , Kang Y , Zhou K , Li W , Hu J , Fu C , Aziz T , Li H , Li J , Yang Y , Han L , Zhang S , Ma Y , Sun M , Wu H , Zhang Z , Wunderlich M , Robinson S , Braas D , Hoeve JT , Zhang B , Marcucci G , Mulloy JC , Zhou K , Tao HF , Deng X , Horne D , Wei M , Huang H , Chen J . The m6A reader IGF2BP2 regulates glutamine metabolism and represents a therapeutic target in acute myeloid leukemia. Cancer Cell 2022; 40(12): 1566–1582.e10

[39]

Delaunay S , Pascual G , Feng B , Klann K , Behm M , Hotz-Wagenblatt A , Richter K , Zaoui K , Herpel E , Münch C , Dietmann S , Hess J , Benitah SA , Frye M . Mitochondrial RNA modifications shape metabolic plasticity in metastasis. Nature 2022; 607(7919): 593–603

[40]

Suzuki T , Yashiro Y , Kikuchi I , Ishigami Y , Saito H , Matsuzawa I , Okada S , Mito M , Iwasaki S , Ma D , Zhao X , Asano K , Lin H , Kirino Y , Sakaguchi Y , Suzuki T . Complete chemical structures of human mitochondrial tRNAs. Nat Commun 2020; 11(1): 4269

[41]

Bohnsack MT , Sloan KE . The mitochondrial epitranscriptome: the roles of RNA modifications in mitochondrial translation and human disease. Cell Mol Life Sci 2018; 75(2): 241–260

[42]

Zhang M , Jiang Z , Ma Y , Liu W , Zhuang Y , Lu B , Li K , Peng J , Yi C . Quantitative profiling of pseudouridylation landscape in the human transcriptome. Nat Chem Biol 2023; 19(10): 1185–1195

[43]

Frolova L , Arsenyan S , Avdonina T , Gaitskhoki V , Kisselev O , Neifach S , Kisselev L . Enzymatic synthesis of DNA complementary to mitochondrial mRNA via reverse transcription. Nucleic Acids Res. 1978; 5(1): 285–95

[44]

Carlile TM , Rojas-Duran MF , Zinshteyn B , Shin H , Bartoli KM , Gilbert WV . Pseudouridine profiling reveals regulated mRNA pseudouridylation in yeast and human cells. Nature 2014; 515(7525): 143–146

[45]

Safra M , Sas-Chen A , Nir R , Winkler R , Nachshon A , Bar-Yaacov D , Erlacher M , Rossmanith W , Stern-Ginossar N , Schwartz S . The m1A landscape on cytosolic and mitochondrial mRNA at single-base resolution. Nature 2017; 551(7679): 251–255

[46]

Li X , Xiong X , Zhang M , Wang K , Chen Y , Zhou J , Mao Y , Lv J , Yi D , Chen XW , Wang C , Qian SB , Yi C . Base-resolution mapping reveals distinct m1A methylome in nuclear- and mitochondrial-encoded transcripts. Mol Cell 2017; 68(5): 993–1005.e9

[47]

Jedynak-Slyvka M , Jabczynska A , Szczesny RJ . Human mitochondrial RNA processing and modifications: overview. Int J Mol Sci 2021; 22(15): 7999

[48]

Jörg M , Plehn JE , Kristen M , Lander M , Walz L , Lietz C , Wijns J , Pichot F , Rojas-Charry L , Wirtz Martin KM , Ruffini N , Kreim N , Gerber S , Motorin Y , Endres K , Rossmanith W , Methner A , Helm M , Friedland K . N1-methylation of adenosine (m1A) in ND5 mRNA leads to complex I dysfunction in Alzheimer's disease. Mol Psychiatry 2024; 29(5): 1427–1439

[49]

Grozhik AV , Olarerin-George AO , Sindelar M , Li X , Gross SS , Jaffrey SR . Antibody cross-reactivity accounts for widespread appearance of m1A in 5′UTRs. Nat Commun 2019; 10(1): 5126

[50]

Schaefer PM , Scherer Alves L , Lvova M , Huang J , Rathi K , Janssen K , Butic A , Yardeni T , Morrow R , Lott M , Murdock D , Song A , Keller K , Garcia BA , Francomano CA , Wallace DC . Combination of common mtDNA variants results in mitochondrial dysfunction and a connective tissue dysregulation. Proc Natl Acad Sci U S A 2022; 119(45): e2212417119

[51]

Zhang LS , Ju CW , Jiang B , He C . Base-resolution quantitative DAMM-seq for mapping RNA methylations in tRNA and mitochondrial polycistronic RNA. Methods Enzymol 2023; 692: 39–54

[52]

Antonicka H , Choquet K , Lin ZY , Gingras AC , Kleinman CL , Shoubridge EA . A pseudouridine synthase module is essential for mitochondrial protein synthesis and cell viability. EMBO Rep 2017; 18(1): 28–38

[53]

Bhatta A , Kuhle B , Yu RD , Spanaus L , Ditter K , Bohnsack KE , Hillen HS . Molecular basis of human nuclear and mitochondrial tRNA 3′ processing. Nat Struct Mol Biol 2025; 32(4): 613–624

[54]

Metodiev MD , Thompson K , Alston CL , Morris AA , He L , Assouline Z , Rio M , Bahi-Buisson N , Pyle A , Griffin H , Siira S , Filipovska A , Munnich A , Chinnery PF , McFarland R , Rötig A , Taylor RW . Recessive mutations in TRMT10C cause defects in mitochondrial RNA processing and multiple respiratory chain deficiencies. Am J Hum Genet 2016; 99(1): 246

[55]

Bhatta A , Dienemann C , Cramer P , Hillen HS . Structural basis of RNA processing by human mitochondrial RNase P. Nat Struct Mol Biol 2021; 28(9): 713–723

[56]

Dennerlein S , Wang C , Rehling P . Plasticity of mitochondrial translation. Trends Cell Biol 2017; 27(10): 712–721

[57]

Greber BJ , Ban N . Structure and function of the mitochondrial ribosome. Annu Rev Biochem 2016; 85: 103–132

[58]

Khawaja A , Cipullo M , Kruger A , Rorbach J . Insights into mitoribosomal biogenesis from recent structural studies. Trends Biochem Sci 2023; 48(7): 629–641

[59]

Laptev I , Dontsova O , Sergiev P . Epitranscriptomics of mammalian mitochondrial ribosomal RNA. Cells 2020; 9(10): 2181

[60]

Bar-Yaacov D , Frumkin I , Yashiro Y , Chujo T , Ishigami Y , Chemla Y , Blumberg A , Schlesinger O , Bieri P , Greber B , Ban N , Zarivach R , Alfonta L , Pilpel Y , Suzuki T , Mishmar D . Mitochondrial 16S rRNA is methylated by tRNA methyltransferase TRMT61B in all vertebrates. PLoS Biol 2016; 14(9): e1002557

[61]

Metodiev MD , Spahr H , Loguercio Polosa P , Meharg C , Becker C , Altmueller J , Habermann B , Larsson NG , Ruzzenente B . NSUN4 is a dual function mitochondrial protein required for both methylation of 12S rRNA and coordination of mitoribosomal assembly. PLoS Genet 2014; 10(2): e1004110

[62]

Chen H , Shi Z , Guo J , Chang KJ , Chen Q , Yao CH , Haigis MC , Shi Y . The human mitochondrial 12S rRNA m4C methyltransferase METTL15 is required for mitochondrial function. J Biol Chem 2020; 295(25): 8505–8513

[63]

Glasgow RIC , Singh V , Pena-Perez L , Wilhalm A , Moedas MF , Moore D , Rosenberger FA , Li X , Atanassov I , Saba M , Cipullo M , Rorbach J , Wedell A , Freyer C , Amunts A , Wredenberg A . The mitochondrial methylation potential gates mitoribosome assembly. Nat Commun 2025; 16(1): 5388

[64]

Seidel-Rogol BL , McCulloch V , Shadel GS . Human mitochondrial transcription factor B1 methylates ribosomal RNA at a conserved stem-loop. Nat Genet 2003; 33(1): 23–24

[65]

Cotney J , Wang Z , Shadel GS . Relative abundance of the human mitochondrial transcription system and distinct roles for h-mtTFB1 and h-mtTFB2 in mitochondrial biogenesis and gene expression. Nucleic Acids Res 2007; 35(12): 4042–4054

[66]

Rozanska A , Richter-Dennerlein R , Rorbach J , Gao F , Lewis RJ , Chrzanowska-Lightowlers ZM , Lightowlers RN . The human RNA-binding protein RBFA promotes the maturation of the mitochondrial ribosome. Biochem J 2017; 474(13): 2145–2158

[67]

Liu X , Shen S , Wu P , Li F , Liu X , Wang C , Gong Q , Wu J , Yao X , Zhang H , Shi Y . Structural insights into dimethylation of 12S rRNA by TFB1M: indispensable role in translation of mitochondrial genes and mitochondrial function. Nucleic Acids Res 2019; 47(14): 7648–7665

[68]

Metodiev MD , Lesko N , Park CB , Camara Y , Shi Y , Wibom R , Hultenby K , Gustafsson CM , Larsson NG . Methylation of 12S rRNA is necessary for in vivo stability of the small subunit of the mammalian mitochondrial ribosome. Cell Metab 2009; 9(4): 386–397

[69]

Koeck T , Olsson AH , Nitert MD , Sharoyko VV , Ladenvall C , Kotova O , Reiling E , Rönn T , Parikh H , Taneera J , Eriksson JG , Metodiev MD , Larsson NG , Balhuizen A , Luthman H , Stančáková A , Kuusisto J , Laakso M , Poulsen P , Vaag A , Groop L , Lyssenko V , Mulder H , Ling C . A common variant in TFB1M is associated with reduced insulin secretion and increased future risk of type 2 diabetes. Cell Metab 2011; 13(1): 80–91

[70]

Scarpulla RC . Transcriptional paradigms in mammalian mitochondrial biogenesis and function. Physiol Rev 2008; 88(2): 611–638

[71]

Cámara Y , Asin-Cayuela J , Park CB , Metodiev MD , Shi Y , Ruzzenente B , Kukat C , Habermann B , Wibom R , Hultenby K , Franz T , Erdjument-Bromage H , Tempst P , Hallberg BM , Gustafsson CM , Larsson NG . MTERF4 regulates translation by targeting the methyltransferase NSUN4 to the mammalian mitochondrial ribosome. Cell Metab 2011; 13(5): 527–539

[72]

Kim S , Tan S , Ku J , Widowati TA , Ku D , Lee K , You K , Kim Y . RNA 5-methylcytosine marks mitochondrial double-stranded RNAs for degradation and cytosolic release. Mol Cell 2025; 85(4): 857

[73]

Van Haute L , Hendrick AG , D'Souza AR , Powell CA , Rebelo-Guiomar P , Harbour ME , Ding S , Fearnley IM , Andrews B , Minczuk M . METTL15 introduces N4-methylcytidine into human mitochondrial 12S rRNA and is required for mitoribosome biogenesis. Nucleic Acids Res 2019; 47(19): 10267–10281

[74]

Mutti CD , Van Haute L , Minczuk M . The catalytic activity of methyltransferase METTL15 is dispensable for its role in mitochondrial ribosome biogenesis. RNA Biol 2024; 21(1): 23–30

[75]

Shi Z , Xu S , Xing S , Yao K , Zhang L , Xue L , Zhou P , Wang M , Yan G , Yang P , Liu J , Hu Z , Lan F . Mettl17, a regulator of mitochondrial ribosomal RNA modifications, is required for the translation of mitochondrial coding genes. FASEB J 2019; 33(11): 13040–13050

[76]

Lv M , Zhou W , Hao Y , Li F , Zhang H , Yao X , Shi Y , Zhang L . Structural insights into the specific recognition of mitochondrial ribosome-binding factor hsRBFA and 12 S rRNA by methyltransferase METTL15. Cell Discov 2024; 10(1): 11

[77]

Zgadzay Y , Mirabello C , Wanes G , Panek T , Chauhan P , Nystedt B , Zíková A , Whitford PC , Gahura O , Amunts A . Mettl15-Mettl17 modulates the transition from early to late pre-mitoribosome. Structure 2025; 33(11): 1904–1915.e3

[78]

Powell CA , Minczuk M . TRMT2B is responsible for both tRNA and rRNA m5U-methylation in human mitochondria. RNA Biol 2020; 17(4): 451–462

[79]

Lee KW , Okot-Kotber C , LaComb JF , Bogenhagen DF . Mitochondrial ribosomal RNA (rRNA) methyltransferase family members are positioned to modify nascent rRNA in foci near the mitochondrial DNA nucleoid. J Biol Chem 2013; 288(43): 31386–31399

[80]

Lee KW , Bogenhagen DF . Assignment of 2'-O-methyltransferases to modification sites on the mammalian mitochondrial large subunit 16S ribosomal RNA (rRNA). J Biol Chem 2014; 289(36): 24936–24942

[81]

Rorbach J , Boesch P , Gammage PA , Nicholls TJ , Pearce SF , Patel D , Hauser A , Perocchi F , Minczuk M . MRM2 and MRM3 are involved in biogenesis of the large subunit of the mitochondrial ribosome. Mol Biol Cell 2014; 25(17): 2542–2555

[82]

Garone C , D'Souza AR , Dallabona C , Lodi T , Rebelo-Guiomar P , Rorbach J , Donati MA , Procopio E , Montomoli M , Guerrini R , Zeviani M , Calvo SE , Mootha VK , DiMauro S , Ferrero I , Minczuk M . Defective mitochondrial rRNA methyltransferase MRM2 causes MELAS-like clinical syndrome. Hum Mol Genet 2017; 26(21): 4257–4266

[83]

Zaganelli S , Rebelo-Guiomar P , Maundrell K , Rozanska A , Pierredon S , Powell CA , Jourdain AA , Hulo N , Lightowlers RN , Chrzanowska-Lightowlers ZM , Minczuk M , Martinou JC . The pseudouridine synthase RPUSD4 is an essential component of mitochondrial RNA granules. J Biol Chem 2017; 292(11): 4519–4532

[84]

Rebelo-Guiomar P , Pellegrino S , Dent KC , Sas-Chen A , Miller-Fleming L , Garone C , Van Haute L , Rogan JF , Dinan A , Firth AE , Andrews B , Whitworth AJ , Schwartz S , Warren AJ , Minczuk M . A late-stage assembly checkpoint of the human mitochondrial ribosome large subunit. Nat Commun 2022; 13(1): 929

[85]

Cipullo M , Gese GV , Khawaja A , Hallberg BM , Rorbach J . Structural basis for late maturation steps of the human mitoribosomal large subunit. Nat Commun 2021; 12(1): 3673

[86]

Lenarčič T , Jaskolowski M , Leibundgut M , Scaiola A , Schonhut T , Saurer M , Lee RG , Rackham O , Filipovska A , Ban N . Stepwise maturation of the peptidyl transferase region of human mitoribosomes. Nat Commun 2021; 12(1): 3671

[87]

Pintard L , Bujnicki JM , Lapeyre B , Bonnerot C . MRM2 encodes a novel yeast mitochondrial 21S rRNA methyltransferase. EMBO J 2002; 21(5): 1139–1147

[88]

Suzuki T , Nagao A , Suzuki T . Human mitochondrial tRNAs: biogenesis, function, structural aspects, and diseases. Annu Rev Genet 2011; 45: 299–329

[89]

Maharjan S , Gamper H , Yamaki Y , Christian T , Henley RY , Li NS , Suzuki T , Suzuki T , Piccirilli JA , Wanunu M , Seifert E , Wallace DC , Hou YM . Post-transcriptional methylation of mitochondrial-tRNA differentially contributes to mitochondrial pathology. Nat Commun 2024; 15(1): 9008

[90]

Vilardo E , Nachbagauer C , Buzet A , Taschner A , Holzmann J , Rossmanith W . A subcomplex of human mitochondrial RNase P is a bifunctional methyltransferase–extensive moonlighting in mitochondrial tRNA biogenesis. Nucleic Acids Res 2012; 40(22): 11583–11593

[91]

Reinhard L , Sridhara S , Hallberg BM . The MRPP1/MRPP2 complex is a tRNA-maturation platform in human mitochondria. Nucleic Acids Res 2017; 45(21): 12469–12480

[92]

Karasik A , Fierke CA , Koutmos M . Interplay between substrate recognition, 5′ end tRNA processing and methylation activity of human mitochondrial RNase P. RNA 2019; 25(12): 1646–1660

[93]

Saoji M , Petersen CE , Sen A , Tripoli BA , Smyth JT , Cox RT . Reduction of Drosophila mitochondrial RNase P in skeletal and heart muscle causes muscle degeneration, cardiomyopathy, and heart arrhythmia. Front Cell Dev Biol 2022; 10: 788516

[94]

Oerum S , Roovers M , Leichsenring M , Acquaviva-Bourdain C , Beermann F , Gemperle-Britschgi C , Fouilhoux A , Korwitz-Reichelt A , Bailey HJ , Droogmans L , Oppermann U , Sass JO , Yue WW . Novel patient missense mutations in the HSD17B10 gene affect dehydrogenase and mitochondrial tRNA modification functions of the encoded protein. Biochim Biophys Acta Mol Basis Dis 2017; 1863(12): 3294–3302

[95]

Deutschmann AJ , Amberger A , Zavadil C , Steinbeisser H , Mayr JA , Feichtinger RG . Mutation or knock-down of 17beta-hydroxysteroid dehydrogenase type 10 cause loss of MRPP1 and impaired processing of mitochondrial heavy strand transcripts.. Hum Mol Genet 2014; 23(13): 3618–3628

[96]

Martín A , Epifano C , Vilaplana-Marti B , Hernandez I , Macias RIR , Martínez-Ramírez Á , Cerezo A , Cabezas-Sainz P , Garranzo-Asensio M , Amarilla-Quintana S , Gómez-Domínguez D , Caleiras E , Camps J , Gómez-López G , Gómez de Cedrón M , Ramírez de Molina A , Barderas R , Sánchez L , Velasco-Miguel S , Pérez de Castro I . Mitochondrial RNA methyltransferase TRMT61B is a new, potential biomarker and therapeutic target for highly aneuploid cancers. Cell Death Differ 2023; 30(1): 37–53

[97]

Chujo T , Suzuki T . Trmt61B is a methyltransferase responsible for 1-methyladenosine at position 58 of human mitochondrial tRNAs. RNA 2012; 18(12): 2269–2276

[98]

Liu F , Clark W , Luo G , Wang X , Fu Y , Wei J , Wang X , Hao Z , Dai Q , Zheng G , Ma H , Han D , Evans M , Klungland A , Pan T , He C. . ALKBH1-mediated tRNA demethylation regulates translation.. Cell 2016; 167(3): 816–828.e16

[99]

Nakano S , Suzuki T , Kawarada L , Iwata H , Asano K , Suzuki T . NSUN3 methylase initiates 5-formylcytidine biogenesis in human mitochondrial tRNA(Met). Nat Chem Biol 2016; 12(7): 546–551

[100]

Van Haute L , Dietmann S , Kremer L , Hussain S , Pearce SF , Powell CA , Rorbach J , Lantaff R , Blanco S , Sauer S , Kotzaeridou U , Hoffmann GF , Memari Y , Kolb-Kokocinski A , Durbin R , Mayr JA , Frye M , Prokisch H , Minczuk M . Deficient methylation and formylation of mt-tRNA(Met) wobble cytosine in a patient carrying mutations in NSUN3. Nat Commun 2016; 7: 12039

[101]

Kawarada L , Suzuki T , Ohira T , Hirata S , Miyauchi K , Suzuki T . ALKBH1 is an RNA dioxygenase responsible for cytoplasmic and mitochondrial tRNA modifications. Nucleic Acids Res 2017; 45(12): 7401–7415

[102]

Bilbille Y , Gustilo EM , Harris KA , Jones CN , Lusic H , Kaiser RJ , Delaney MO , Spremulli LL , Deiters A , Agris PF . The human mitochondrial tRNAMet: structure/function relationship of a unique modification in the decoding of unconventional codons. J Mol Biol 2011; 406(2): 257–274

[103]

Jurkute N , Brennenstuhl H , Kustermann M , Van Haute L , Mutti CD , Bugiardini E , Handa T , Shimura M , Petzold A , Acheson J , Robson AG , Macken WL , Hanna MG , Pitceathly RDS , Merve A , Kotzaeridou U , Kölker S , Freilinger M , Erdler M , Bittner RE , Mayr JA , Okazaki Y , Murayama K , Prokisch H , Webster AR , Minczuk M , Arno G , Pemp B , Hoffmann GF , Schmidt WM , Yu-Wai-Man P . Biallelic NSUN3 variants cause diverse phenotypic spectrum disease: from isolated optic atrophy to severe early-onset mitochondrial disorder. Invest Ophthalmol Vis Sci 2025; 66(6): 17

[104]

Murakami Y , Wei FY , Kawamura Y , Horiguchi H , Kadomatsu T , Miyata K , Oike Y , Ando Y , Ueda M , Tomizawa K , Chujo T . NSUN3-mediated mitochondrial tRNA 5-formylcytidine modification is essential for embryonic development and respiratory complexes in mice. Commun Biol 2023; 6(1): 307

[105]

Paramasivam A , Meena AK , Venkatapathi C , Pitceathly RDS , Thangaraj K . Novel biallelic NSUN3 variants cause early-onset mitochondrial encephalomyopathy and seizures. J Mol Neurosci 2020; 70(12): 1962–1965

[106]

Tuorto F , Legrand C , Cirzi C , Federico G , Liebers R , Muller M , Ehrenhofer-Murray AE , Dittmar G , Gröne HJ , Lyko F . Queuosine-modified tRNAs confer nutritional control of protein translation. EMBO J 2018; 37(18): e99777

[107]

Tittle JM , Schwark DG , Biddle W , Schmitt MA , Fisk JD . Impact of queuosine modification of endogenous E. coli tRNAs on sense codon reassignment. Front Mol Biosci 2022; 9: 938114

[108]

Umeda N , Suzuki T , Yukawa M , Ohya Y , Shindo H , Watanabe K , Suzuki T . Mitochondria-specific RNA-modifying enzymes responsible for the biosynthesis of the wobble base in mitochondrial tRNAs. implications for the molecular pathogenesis of human mitochondrial diseases. J Biol Chem 2005; 280(2): 1613–1624

[109]

Boutoual R , Meseguer S , Villarroya M , Martin-Hernandez E , Errami M , Martin MA , Casado M , Armengod ME . Defects in the mitochondrial-tRNA modification enzymes MTO1 and GTPBP3 promote different metabolic reprogramming through a HIF-PPARgamma-UCP2-AMPK axis. Sci Rep 2018; 8(1): 1163

[110]

Morscher RJ , Ducker GS , Li SH , Mayer JA , Gitai Z , Sperl W , Rabinowitz JD . Mitochondrial translation requires folate-dependent tRNA methylation. Nature 2018; 554(7690): 128–132

[111]

Goto Y , Nonaka I , Horai S . A mutation in the tRNA(Leu)(UUR) gene associated with the MELAS subgroup of mitochondrial encephalomyopathies. Nature 1990; 348(6302): 651–653

[112]

Wu Y , Wei FY , Kawarada L , Suzuki T , Araki K , Komohara Y , Fujimura A , Kaitsuka T , Takeya M , Oike Y , Suzuki T , Tomizawa K . Mtu-mediated thiouridine formation of mitochondrial tRNAs is required for mitochondrial translation and is involved in reversible infantile liver injury. PLoS Genet 2016; 12(9): e1006355

[113]

Reiter V , Matschkal DM , Wagner M , Globisch D , Kneuttinger AC , Muller M , Carell T . The CDK5 repressor CDK5RAP1 is a methylthiotransferase acting on nuclear and mitochondrial RNA. Nucleic Acids Res 2012; 40(13): 6235–6240

[114]

Yarham JW , Lamichhane TN , Pyle A , Mattijssen S , Baruffini E , Bruni F , Donnini C , Vassilev A , He L , Blakely EL , Griffin H , Santibanez-Koref M , Bindoff LA , Ferrero I , Chinnery PF , McFarland R , Maraia RJ , Taylor RW . Defective i6A37 modification of mitochondrial and cytosolic tRNAs results from pathogenic mutations in TRIT1 and its substrate tRNA. PLoS Genet 2014; 10(6): e1004424

[115]

Zhou JB , Wang Y , Zeng QY , Meng SX , Wang ED , Zhou XL . Molecular basis for t6A modification in human mitochondria. Nucleic Acids Res 2020; 48(6): 3181–3194

[116]

Lin H , Miyauchi K , Harada T , Okita R , Takeshita E , Komaki H , Fujioka K , Yagasaki H , Goto YI , Yanaka K , Nakagawa S , Sakaguchi Y , Suzuki T . CO2-sensitive tRNA modification associated with human mitochondrial disease. Nat Commun 2018; 9(1): 1875

[117]

Van Haute L , Lee SY , McCann BJ , Powell CA , Bansal D , Vasiliauskaite L , Garone C , Shin S , Kim JS , Frye M , Gleeson JG , Miska EA , Rhee HW , Minczuk M . NSUN2 introduces 5-methylcytosines in mammalian mitochondrial tRNAs. Nucleic Acids Res 2019; 47(16): 8720–8733

[118]

Shinoda S , Kitagawa S , Nakagawa S , Wei FY , Tomizawa K , Araki K , Araki M , Suzuki T , Suzuki T . Mammalian NSUN2 introduces 5-methylcytidines into mitochondrial tRNAs. Nucleic Acids Res 2019; 47(16): 8734–8745

[119]

Laptev I , Shvetsova E , Levitskii S , Serebryakova M , Rubtsova M , Bogdanov A , Kamenski P , Sergiev P , Dontsova O . Mouse Trmt2B protein is a dual specific mitochondrial methyltransferase responsible for m(5)U formation in both tRNA and rRNA. RNA Biol 2020; 17(4): 441–450

[120]

Schöller E , Marks J , Marchand V , Bruckmann A , Powell CA , Reichold M , Mutti CD , Dettmer K , Feederle R , Hüttelmaier S , Helm M , Oefner P , Minczuk M , Motorin Y , Hafner M , Meister G . Balancing of mitochondrial translation through METTL8-mediated m3C modification of mitochondrial tRNAs. Mol Cell 2021; 81(23): 4810–4825.e12

[121]

Kleiber N , Lemus-Diaz N , Stiller C , Heinrichs M , Mai MM , Hackert P , Richter-Dennerlein R , Höbartner C , Bohnsack KE , Bohnsack MT . The RNA methyltransferase METTL8 installs m3C32 in mitochondrial tRNAsThr/Ser(UCN) to optimise tRNA structure and mitochondrial translation. Nat Commun 2022; 13(1): 209

[122]

Sas-Chen A , Nir R , Schwartz S . mito-Psi-Seq: a high-throughput method for systematic mapping of pseudouridine within mitochondrial RNA. Methods Mol Biol 2021; 2192: 103–115

[123]

Patton JR , Bykhovskaya Y , Mengesha E , Bertolotto C , Fischel-Ghodsian N . Mitochondrial myopathy and sideroblastic anemia (MLASA): missense mutation in the pseudouridine synthase 1 (PUS1) gene is associated with the loss of tRNA pseudouridylation. J Biol Chem 2005; 280(20): 19823–19828

[124]

Bykhovskaya Y , Casas K , Mengesha E , Inbal A , Fischel-Ghodsian N . Missense mutation in pseudouridine synthase 1 (PUS1) causes mitochondrial myopathy and sideroblastic anemia (MLASA). Am J Hum Genet 2004; 74(6): 1303–1308

[125]

Fernandez-Vizarra E , Berardinelli A , Valente L , Tiranti V , Zeviani M . Nonsense mutation in pseudouridylate synthase 1 (PUS1) in two brothers affected by myopathy, lactic acidosis and sideroblastic anaemia (MLASA). J Med Genet 2007; 44(3): 173–180

[126]

Wang B , Shi D , Yang S , Lian Y , Li H , Cao M , He Y , Zhang L , Qiu C , Liu T , Wen W , Ma Y , Shi L , Cheng T , Shi L , Yuan W , Chu Y , Shi J . Mitochondrial tRNA pseudouridylation governs erythropoiesis. Blood 2024; 144(6): 657–671

[127]

Suzuki T , Suzuki T . A complete landscape of post-transcriptional modifications in mammalian mitochondrial tRNAs. Nucleic Acids Res 2014; 42(11): 7346–7357

[128]

Dalluge JJ , Hashizume T , Sopchik AE , McCloskey JA , Davis DR . Conformational flexibility in RNA: the role of dihydrouridine. Nucleic Acids Res 1996; 24(6): 1073–1079

[129]

Sadeesh EM , Lahamge MS . Unveiling the tissue-specific landscape of nuclear-encoded mitochondrial genes involved in amino acid metabolism in buffalo. Amino Acids 2025; 57(1): 17

[130]

Sadeesh EM , Lahamge MS , Kumari S , Singh P . Tissue-specific diversity of nuclear-encoded mitochondrial genes related to lipid and carbohydrate metabolism in buffalo. Mol Biotechnol 2026; 68(1): 335–350

[131]

Sadeesh EM , Lahamge MS , Malik A , Ampadi AN . Differential expression of nuclear-encoded mitochondrial protein genes of ATP synthase across different tissues of female buffalo. Mol Biotechnol. 2025; 67(2): 705–722

[132]

Sadeesh EM , Singla N , Lahamge MS , Kumari S , Ampadi AN , Anuj M . Tissue heterogeneity of mitochondrial activity, biogenesis and mitochondrial protein gene expression in buffalo. Mol Biol Rep 2023; 50(6): 5255–5266

[133]

Sadeesh EM , Malik A . Deciphering tissue-specific expression profiles of mitochondrial genome-encoded tRNAs and rRNAs through transcriptomic profiling in buffalo. Mol Biol Rep 2024; 51(1): 876

[134]

Ali AT , Idaghdour Y , Hodgkinson A . Analysis of mitochondrial m1A/G RNA modification reveals links to nuclear genetic variants and associated disease processes. Commun Biol 2020; 3(1): 147

[135]

Cohen T , Medini H , Mordechai C , Eran A , Mishmar D . Human mitochondrial RNA modifications associate with tissue-specific changes in gene expression, and are affected by sunlight and UV exposure. Eur J Hum Genet 2022; 30(12): 1363–1372

[136]

Shakhpazyan NK , Mikhaleva LM , Bedzhanyan AL , Gioeva Z , Mikhalev A , Midiber KY , Konyukova AK , Atiakshin D , Buchwalow I , Tiemann M , Orekhov AN . Mitochondrial DNA mutations in colorectal cancer stem cells: implications for tumor dynamics and therapeutic strategies. Curr Med Chem 2026; 33(13): 2503–2522

[137]

Sessions DT , Kashatus DF . Mitochondrial dynamics in cancer stem cells. Cell Mol Life Sci 2021; 78(8): 3803–3816

[138]

Idaghdour Y , Hodgkinson A . Integrated genomic analysis of mitochondrial RNA processing in human cancers. Genome Med 2017; 9(1): 36

[139]

Luu M , Visekruna A . Targeting metabolic rewiring might decrease spread of tumor cells: mitochondrial tRNA modifications promote cancer metastasis. Signal Transduct Target Ther 2022; 7(1): 360

[140]

Li H , Yu K , Hu H , Zhang X , Zeng S , Li J , Dong X , Deng X , Zhang J , Zhang Y . METTL17 coordinates ferroptosis and tumorigenesis by regulating mitochondrial translation in colorectal cancer. Redox Biol 2024; 71: 103087

[141]

Zhou X , Ling Y , Cui J , Wang X , Long N , Teng W , Liu J , Xiang X , Yang H , Chu L . Mitochondrial RNA modification-based signature to predict prognosis of lower grade glioma: a multi-omics exploration and verification study. Sci Rep 2024; 14(1): 12602

[142]

Pauli C , Kienhofer M , Blank MF , Begik O , Rohde C , Zimmermann SM , Werner L , Heid D , Xu F , Weidenauer K , Delaunay S , Krall N , Trunk K , Zhao D , Zhou F , Llovera L , Ollivier A , Heit-Mondrzyk A , Platzbecker U , Baldus C , Serve H , Bornhäuser M , Vågbø CB , Benitah SA , Krijgsveld J , Novoa EM , Müller-Tidow C , Frye M . Disrupting tRNA modifications to target mitochondrial vulnerabilities in drug-resistant leukemia cells. Blood 2025; 146(20): 2443–2456

[143]

Fares J , Fares MY , Khachfe HH , Salhab HA , Fares Y . Molecular principles of metastasis: a hallmark of cancer revisited. Signal Transduct Target Ther 2020; 5(1): 28

[144]

Gerstberger S , Jiang Q , Ganesh K . Metastasis. Cell 2023; 186(8): 1564–1579

[145]

Nguyen DX , Bos PD , Massague J . Metastasis: from dissemination to organ-specific colonization. Nat Rev Cancer 2009; 9(4): 274–284

[146]

Xueer Wang HZ , Dong L , Zhang X , Xue M , Ren L , Bi H , Lucy Y , Ghoda Wunderlich , Mark C , James David Chen , Mulloy Li , Chun-Wei Xu , Ling Zhang , Lin Marcucci , Bin T , Guido Heisterkamp , Steven Kortylewski , Rosen Chen , Nora Su . Mitochondrial RNA methylation by METTL17 rewires metabolism and regulates retrograde mitochondrial-nuclear communication in AML. Blood 2024; 144(S1): 625

[147]

Wang P , Li J , Wu M , Ye M , Huang K , Zhu X . Human mitochondrial ribosomal RNA modification-based classification contributes to discriminate the prognosis and immunotherapy response of glioma patients. Front Immunol 2021; 12: 722479

[148]

Yan C , Yu J , Lyu H , Xiao S , Guo D , Zhang Q , Zhang R , Tang J , Song Z , Zhou C . Transcription, maturation and degradation of mitochondrial RNA: implications for innate immune response. Biomolecules 2025; 15(10): 1379

[149]

Honghai Zhang XW, Dong L, Ren L, Bi H, Li W, Zhang X, Xue M, Wan C, Ghoda L, Wunderlich M, Mulloy J, Chen CW, Li L, Zhang B, Rosen S, Heisterkamp N, Chen J, Kortylewski M, Su R. Mitochondrial RNA pseudouridine reprograms metabolism and induces immunosuppression in myeloid leukemia. In: 67th ASH Annual Meeting; December 6–9, 2025; Orlando, FL, USA. 2025; abs25–12259

[150]

Ron-Harel N , Santos D , Ghergurovich JM , Sage PT , Reddy A , Lovitch SB , Dephoure N , Satterstrom FK , Sheffer M , Spinelli JB , Gygi S , Rabinowitz JD , Sharpe AH , Haigis MC . Mitochondrial biogenesis and proteome remodeling promote one-carbon metabolism for T cell activation. Cell Metab 2016; 24(1): 104–117

[151]

Yu YR , Imrichova H , Wang H , Chao T , Xiao Z , Gao M , Rincon-Restrepo M , Franco F , Genolet R , Cheng WC , Jandus C , Coukos G , Jiang YF , Locasale JW , Zippelius A , Liu PS , Tang L , Bock C , Vannini N , Ho PC . Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion. Nat Immunol 2020; 21(12): 1540–1551

[152]

van der Windt GJ , Everts B , Chang CH , Curtis JD , Freitas TC , Amiel E , Pearce EJ , Pearce EL . Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development. Immunity 2012; 36(1): 68–78

[153]

Simula L , Fumagalli M , Vimeux L , Rajnpreht I , Icard P , Birsen G , An D , Pendino F , Rouault A , Bercovici N , Damotte D , Lupo-Mansuet A , Alifano M , Alves-Guerra MC , Donnadieu E . Mitochondrial metabolism sustains CD8+ T cell migration for an efficient infiltration into solid tumors. Nat Commun 2024; 15(1): 2203

[154]

Ron-Harel N , Sharpe AH , Haigis MC . Mitochondrial metabolism in T cell activation and senescence: a mini-review. Gerontology 2015; 61(2): 131–138

[155]

Chang CH , Curtis JD , Maggi LB Jr , Faubert B , Villarino AV , O'Sullivan D , Huang SC , van der Windt GJ , Blagih J , Qiu J , Weber JD , Pearce EJ , Jones RG , Pearce EL . Posttranscriptional control of T cell effector function by aerobic glycolysis. Cell 2013; 153(6): 1239–1251

[156]

Sena LA , Li S , Jairaman A , Prakriya M , Ezponda T , Hildeman DA , Wang CR , Schumacker PT , Licht JD , Perlman H , Bryce PJ , Chandel NS . Mitochondria are required for antigen-specific T cell activation through reactive oxygen species signaling. Immunity 2013; 38(2): 225–236

[157]

Sanchis-Gomar F , Derbré F . Mitochondrial fission and fusion in human diseases. N Engl J Med 2014; 370(11): 1073–1074

[158]

Lloberas J , Munoz JP , Hernandez-Alvarez MI , Cardona PJ , Zorzano A , Celada A . Macrophage mitochondrial MFN2 (mitofusin 2) links immune stress and immune response through reactive oxygen species (ROS) production. Autophagy 2020; 16(12): 2307–2309

[159]

Kowalinski E , Alfonzo JD . METTLing in the right place: METTL8 is a mitochondrial tRNA-specific methyltransferase. Mol Cell 2021; 81(23): 4765–4767

[160]

Lentini JM , Bargabos R , Chen C , Fu D . Methyltransferase METTL8 is required for 3-methylcytosine modification in human mitochondrial tRNAs. J Biol Chem 2022; 298(4): 101788

[161]

Huang MH , Wang JT , Zhang JH , Mao XL , Peng GX , Lin X , Lv D , Yuan C , Lin H , Wang ED , Zhou XL . Mitochondrial RNA m3C methyltransferase METTL8 relies on an isoform-specific N-terminal extension and modifies multiple heterogenous tRNAs. Sci Bull (Beijing) 2023; 68(18): 2094–2105

[162]

Lee BWL , Chuah YH , Yoon J , Grinchuk OV , Liang Y , Hirpara JL , Shen Y , Wang LC , Lim YT , Zhao T , Sobota RM , Yeo TT , Wong ALA , Teo K , Nga VDW , Tan BWQ , Suda T , Toh TB , Pervaiz S , Lin Z , Ong DST . METTL8 links mt-tRNA m3C modification to the HIF1alpha/RTK/Akt axis to sustain GBM stemness and tumorigenicity. Cell Death Dis 2024; 15(5): 338

[163]

Yin D , Wang P , Hao Y , Yue W , Jiang X , Yao K , Wang Y , Hang X , Xiao A , Zhou J , Lin L , Rao Z , Wu H , Liu F , Dong Z , Wu M , Xu C , Huang J , Chang H , Fan Y , Yu X , Yu C , Chang L , Li M . A battery-free nanofluidic intracellular delivery patch for internal organs. Nature 2025; 642(8069): 1051–1061

[164]

Kato T , Daigo Y , Hayama S , Ishikawa N , Yamabuki T , Ito T , Miyamoto M , Kondo S , Nakamura Y . A novel human tRNA-dihydrouridine synthase involved in pulmonary carcinogenesis. Cancer Res 2005; 65(13): 5638–5646

[165]

Khan T , Waseem R , Zehra Z , Aiman A , Bhardwaj P , Ansari J , Hassan MI , Islam A . Mitochondrial dysfunction: pathophysiology and mitochondria-targeted drug delivery approaches. Pharmaceutics 2022; 14(12): 2657

[166]

Szames D , Kelley SO . Mitochondria-targeted temozolomide probe for overcoming MGMT-mediated resistance in glioblastoma. Chembiochem 2025; 26(6): e202400935

[167]

S Allemailem K , Almatroudi A , Alsahli MA , Aljaghwani A , M El-Kady A , Rahmani AH , Khan AA . Novel strategies for disrupting cancer-cell functions with mitochondria-targeted antitumor drug-loaded nanoformulations. Int J Nanomedicine 2021; 16: 3907–3936

[168]

Shi Y , Luo Z , You J . Subcellular delivery of lipid nanoparticles to endoplasmic reticulum and mitochondria. Wiley Interdiscip Rev Nanomed Nanobiotechnol 2022; 14(5): e1803

[169]

Lobos-González L , Bustos R , Campos A , Silva V , Silva V , Jeldes E , Salomon C , Varas-Godoy M , Cáceres-Verschae A , Duran E , Vera T , Ezquer F , Ezquer M , Burzio VA , Villegas J . Exosomes released upon mitochondrial ASncmtRNA knockdown reduce tumorigenic properties of malignant breast cancer cells. Sci Rep 2020; 10(1): 343

[170]

Dhawan MS, Aggarwal RR, Boyd E, Comerford K, Zhang J, Méndez B, Valenzuela P, Grabowsky J, Thomas S, Munster PN. Phase 1 study of ANDES-1537: a novel antisense oligonucleotide against non-coding mitochondrial DNA in advanced solid tumors. In: 2018 ASCO Annual Meeting. J Clin Oncol 2018; 36(S15): 2557

[171]

Brulé H , Elliott M , Redlak M , Zehner ZE , Holmes WM . Isolation and characterization of the human tRNA-(N1G37) methyltransferase (TRM5) and comparison to the Escherichia coli TrmD protein. Biochemistry 2004; 43(28): 9243–9255

[172]

Tang R , Chen X , Shang X , Hu Y , Lu B , Du X , Yang J , Zhang F , Wang F , Zhang Z , Bai Y , Zhang Q , Fan Y . m5C methylation of mitochondrial RNA and non-coding RNA by NSUN3 is associated with variant gene expression and asexual blood-stage development in Plasmodium falciparum. Parasit Vectors 2025; 18(1): 121

[173]

Gu X , Ma X , Chen C , Guan J , Wang J , Wu S , Zhu H . Vital roles of m5C RNA modification in cancer and immune cell biology. Front Immunol 2023; 14: 1207371

[174]

Zhang F , Yoon K , Zhang DY , Kim NS , Ming GL , Song H. . Epitranscriptomic regulation of cortical neurogenesis via Mettl8-dependent mitochondrial tRNA m3C modification.. Cell Stem Cell 2023; 30(3): 300–311.e11

[175]

Ast T , Itoh Y , Sadre S , McCoy JG , Namkoong G , Wengrod JC , Chicherin I , Joshi PR , Kamenski P , Suess DLM , Amunts A , Mootha VK. . METTL17 is an Fe-S cluster checkpoint for mitochondrial translation.. Mol Cell 2024; 84(2): 359–374.e8

[176]

Lucas MC , Pryszcz LP , Medina R , Milenkovic I , Camacho N , Marchand V , Motorin Y , Ribas de Pouplana L , Novoa EM . Quantitative analysis of tRNA abundance and modifications by nanopore RNA sequencing. Nat Biotechnol 2024; 42(1): 72–86

[177]

Rübsam FNM , Liu-Wei W , Sun Y , Patel BI , van der Toorn W , Piechotta M , Dieterich C , Kleist MV , Ehrenhofer-Murray AE . MoDorado: enhanced detection of tRNA modifications in nanopore sequencing by off-label use of modification callers. Nucleic Acids Res 2025; 53(15): gkaf795

RIGHTS & PERMISSIONS

The Author(s). This article is published with open access at link.springer.com and journal.hep.com.cn

PDF (2532KB)

Supplementary files

Supplementary materials

165

Accesses

0

Citation

Detail

Sections
Recommended

/