Abstract
Targeting proximity-labeling enzymes to specific cellular locations is a viable strategy for profiling subcellular proteomes. Here, we generated transgenic mice (MAX-Tg) expressing a mitochondrial matrix-targeted ascorbate peroxidase. Comparative analysis of matrix proteomes from the muscle tissues showed differential enrichment of mitochondrial proteins. We found that reticulon 4-interacting protein 1 (RTN4IP1), also known as optic atrophy-10, is enriched in the mitochondrial matrix of muscle tissues and is an NADPH oxidoreductase. Interactome analysis and in vitro enzymatic assays revealed an essential role for RTN4IP1 in coenzyme Q (CoQ) biosynthesis by regulating the O-methylation activity of COQ3. Rtn4ip1-knockout myoblasts had markedly decreased CoQ9 levels and impaired cellular respiration. Furthermore, muscle-specific knockdown of dRtn4ip1 in flies resulted in impaired muscle function, which was reversed by dietary supplementation with soluble CoQ. Collectively, these results demonstrate that RTN4IP1 is a mitochondrial NAD(P)H oxidoreductase essential for supporting mitochondrial respiration activity in the muscle tissue.
Subject terms: Mass spectrometry, Metabolism, Enzyme mechanisms, Proteomics, Chemical tools
The development of a transgenic mouse line that expresses mitochondrial matrix-targeted APEX2 combined with proteome analysis identified RTN4IP1, which serves as an NAD(P)H oxidoreductase required for respiration and CoQ biosynthesis.
Main
In multicellular organisms, unique metabolic processes occur in different tissues, resulting in a tissue-specific proteome inventory1,2. As a central regulator of cellular metabolism, the mitochondrial proteome is expected to vary among tissues to meet tissue-specific metabolic demands. Imaging studies have shown substantial differences in the mitochondrial ultrastructure among tissues3, which are likely linked to distinct mitochondrial proteomes. For example, the oxidative phosphorylation (OXPHOS) complex is highly expressed in muscle tissues4. However, the precise details of the muscle-specific mitochondrial matrix proteome remain unclear.
Conventional approaches to identifying mitochondrial proteomes are largely based on subcellular fractionation followed by mass spectrometry (MS)5–8. However, even the mitochondrial proteome of the same muscle tissues shows discrepancies due to the inevitable contamination of nonmitochondrial proteins9. Furthermore, these approaches cannot provide submitochondrial spatial information; although this information can be inferred through a proteinase K digestion assay, this method suffers from technical artifacts10–12. As a result, information regarding the mitochondrial proteome from different tissues at the suborganelle level remains incomplete due to a lack of suitable methodology.
Engineered ascorbate peroxidase (APEX) allows for in situ biotinylation of the local proteome in multiple cell lines10,13–17. APEX-mediated proximity labeling results in the covalent biotinylation of tyrosine residues of endogenous proteins10,13, and liquid chromatography–tandem MS (LC–MS/MS) analysis of biotin-modified sites on endogenous proteins can reveal subcellular proteomes to which APEX is localized10. Using proximity-labeling techniques, we and our colleagues have successfully identified the submitochondrial proteome of the mitochondrial matrix10,13, intermembrane space18,19 and mitochondrial-associated membrane20,21 in the immortalized human cell line human embryonic kidney 293T (HEK293T).
Notably, the submitochondrial proteome information obtained using APEX in HEK293T cells13,18 has been incorporated into recent updates of the MitoCarta22,23 database. However, it is questionable whether the sum of the data from different biological systems and methods sufficiently reflects the diversity of in vivo physiological contexts, such as tissue-specific submitochondrial protein information. For example, some brown fat-specific intermembrane space proteins24 are not found in the MitoCarta database. Therefore, new analytical methods that can provide direct experimental evidence for tissue-specific submitochondrial proteomes are highly desirable.
Here, we extend the use of APEX labeling for profiling subcellular proteomes to whole-animal models. We established a transgenic (Tg) mouse model that expresses mitochondrial matrix-targeted engineered APEX2 (MAX), enabling the in situ biotinylation of mitochondrial matrix-localized proteins in different tissues. Using this MAX-Tg mouse model, we analyzed the muscle-specific mitochondrial matrix proteomes and identified reticulon 4-interacting protein 1 (RTN4IP1) as an oxidoreductase for coenzyme Q (CoQ) biosynthesis.
Results
MAX-Tg mice for mitochondrial matrix-specific labeling
To generate transgenic mice with constitutive expression of APEX2 in the mitochondrial matrix, we localized APEX2 to the mitochondrial matrix by fusing it with the mitochondrial-targeting sequence (MTS) from cytochrome C oxidase subunit 4I1 (COX4I1) (Fig. 1a). Immunoblotting of desthiobiotin-phenol (DBP)-labeled muscle tissues confirmed the expression (V5) and functionality (horseradish peroxidase-conjugated streptavidin) of MTS-V5-APEX2 (Fig. 1b,c). Immunofluorescence imaging revealed specific V5 signals within the muscle myofibers of MAX-Tg mice, overlapping with TOM20 and streptavidin signals (Fig. 1d).
Transmission electron microscopy (TEM) was conducted to assess whether MTS-V5-APEX2 specifically targeted the mitochondrial matrix compartment, using 3,3′-diaminobenzidine (DAB) to stain by APEX in fixed tissues25, which confirmed the specific targeting of APEX2 to the mitochondrial matrix (Fig. 1e). The aligned cristae structure stained with MTS-APEX2 was observed in the heart and each skeletal muscle, aligning with the morphology of mitochondria in the muscle26. These data indicated that MTS-V5-APEX2 is expressed in the MAX-Tg mouse muscle and shows proximity-labeling activity in the mitochondrial matrix of muscle tissues.
Divergent matrix proteome between mouse and human models
Next, we performed ex vivo DBP labeling of Tg mouse tissues and identified muscle-specific mitochondrial matrix proteins using LC–MS/MS-based quantitative proteomic analysis (Extended Data Fig. 1a). We used the super-resolution proximity-labeling approach, which detects biotinylated sites at a single amino acid residue level10. Hundreds of DBP-labeled peptides were identified consistently using MTS-V5-APEX2 labeling (Fig. 2a and Supplementary Data 1). Distinct clusters were evident even between the tibialis anterior (TA) and soleus muscles, revealing the ability of MAX-Tg to differentiate the mitochondrial matrix proteome among various muscle groups.
Using our filtering criteria (P < 0.05, fold change (FC) > 2) on MAX-Tg muscle samples against negative wild-type (WT) controls, we compiled a list of the MTS-V5-APEX2-labeled proteome for each muscle sample, comprising 152, 219 and 228 proteins for the heart, TA and soleus, respectively (Extended Data Fig. 1b). As expected, a substantial portion of the MTS-V5-APEX2-labeled proteome (73.6%; 184 of 250 total proteins) had a mitochondrial annotation in UniProt (Extended Data Fig. 2a). We also used MitoFates27 to verify whether the filtered proteins were annotated as mitochondrial matrix proteins, demonstrating that the MTS-V5-APEX2-labeled mitochondrial proteome was highly enriched (85.3%) with the predicted MTS (Extended Data Fig. 2b). These data demonstrated that MAX-Tg mice selectively label mitochondrial matrix proteins.
Cluster analysis revealed that the mitochondrial matrix proteomes of the TA muscle tissue and HEK293T cells10 formed the most distinct clusters (Fig. 2a). The biotinylated protein patterns also displayed differences between the muscle tissues of MAX-Tg mice and cultured HEK293T cells (Extended Data Fig. 2c). In the TA muscle, the most abundant proteins were associated with energy production functions, including OXPHOS complex proteins and enzymes related to pyruvate regulation and the tricarboxylic acid cycle (Fig. 2b,c and Supplementary Data 2). Mitochondrial RNA processing proteins such as PTCD2 and PTCD3 were also highly expressed in the muscle. These proteins also play a role in the mitochondrial respiratory chain, reflecting the reliance of the muscle tissue on energy production via respiration28,29.
By contrast, data for HEK293T cells showed strong enrichment of mitochondrial chaperone proteins and transcription-related proteins (Fig. 2b,c and Supplementary Data 2). Several mitochondrial proteins involved in one-carbon metabolism and glutamate metabolism, which play important roles in cancer metabolism30,31, were also notably enriched in HEK293T cells. These findings underscore the distinct composition of mitochondrial matrix proteomes between mouse muscle tissues and the immortalized HEK293T cell line.
Distinct matrix proteomes in multiple muscle tissues
Muscle fibers in different muscle groups exhibit distinct compositions, which can potentially influence their proteomes32. Overlapping analysis of the MTS-APEX2-labeled proteomes among the heart, TA and soleus muscles was performed (Fig. 2d and Supplementary Data 3). Several tissue-specific mitochondrial matrix proteins emerged, while 133 proteins were commonly identified across the three muscle tissues (among the total 250 proteins).
Proteins related to the beta oxidation pathway were more highly expressed in the heart than in the TA muscle (Extended Data Fig. 2d and Supplementary Fig. 1), aligning with the heart’s capacity to produce energy from fatty acids33. The heart also showed higher expression of mitochondrial quality control proteins, while the TA muscle showed higher expression of ubiquinone biosynthesis-related and ATP synthase complex proteins (Extended Data Fig. 2d and Supplementary Fig. 1). The expression levels of isotype proteins of isocitrate dehydrogenase (IDH) differed between the heart and muscle tissue; specifically, IDH3A, IDH3B and IDH3G, using NADH as a substrate34, were abundant in the TA muscle, whereas IDH2 (which uses NADPH) was more abundant in the heart (Supplementary Fig. 1).
The soleus skeletal muscle demonstrated high expression of ATP synthase complex and OXPHOS complex subunits compared to heart. (Extended Data Fig. 2e). The soleus muscle showed higher expression levels of mitochondrial proteins using NADPH/NADP in comparison to the TA muscle. Additionally, the soleus muscle showed higher expression levels of 5-demethoxyubiquinone hydroxylase (COQ7), which is vital for CoQ biosynthesis, while the TA muscle exhibited higher expression of complex III, mitochondrial ribosome subunits and pyruvate-related proteins (Extended Data Fig. 2f). These data highlight the unique mitochondrial matrix proteome composition of each muscle tissue.
Further validation of the muscle-specific matrix proteome
To address the need for profiling ‘cell type’-specific mitochondrial matrix proteomes, we generated a conditional MAX-Tg mouse model (LoxP-Stop-LoxP-MAX or LSL-MAX-Tg, Extended Data Fig. 3a). We crossed an LSL-MAX-Tg mouse with a Myf5-Cre driver mouse to obtain a muscle-fiber-specific proteome and confirmed the expression of MTS-V5-APEX2 and its biotinylation activity in three distinct skeletal muscle tissues (Extended Data Fig. 3a–c). We obtained Myf5-specific mitochondrial matrix protein information from these skeletal muscles by following the same protocol as that used with MAX-Tg mice (Extended Data Fig. 3d and Supplementary Data 4).
We compared the mitochondrial matrix proteomes between the quadriceps and soleus muscles, known for their highly diverse fiber type composition32,35. In the quadriceps, proteins related to NAD/NADH conversion, mitochondrial ATP synthesis and pyruvate metabolism were highly enriched. Conversely, the soleus muscle fibers exhibited high expression of proteins related to fatty acid beta oxidation, branched-chain amino acid catabolic process, and acetyl-CoA metabolism (Extended Data Fig. 3e,f). For the TA muscle, substantial overlap was observed between the APEX-labeled mitochondrial proteome results of the two genetically different Tg mouse models (Fig. 2e and Supplementary Data 5).
We further investigated the protein overlap between the mitoplast proteome from the TA muscle tissue prepared using an established fractionation and proteolysis method36–38 and the MTS-APEX2-labeled mitochondrial protein data from the MAX-Tg and Myf5-Cre;LSL-MAX-Tg mice (Extended Data Fig. 4a,b and Supplementary Data 5). Although the mitoplast proteome identified more mitochondrial proteins, it showed notable contamination with other submitochondrial proteins. By contrast, the MAX-Tg and Myf5-Cre;LSL-MAX-Tg results showed minimal presence of other submitochondrial proteins (Extended Data Fig. 4b,c). These results support the reliability of our MAX-Tg mouse approach for identifying tissue- or cell type-specific mitochondrial matrix proteomes.
RTN4IP1 is a mitochondrial matrix protein
Among the identified proteins, RTN4IP1, also known as optic atrophy-10 (OPA10), was consistently detected in the soleus muscle of both MAX-Tg and Myf5-Cre;LSL-MAX-Tg mice (Supplementary Data 3 and 4). Previous reports suggested RTN4IP1 is an outer mitochondrial membrane protein based on conventional fractionation and proteinase K protection assays39,40. However, our data consistently identified RTN4IP1 as a matrix protein across multiple samples. Consistently, RTN4IP1 was previously observed in the mitochondrial matrix proteome of HEK293T cells through an indirect biotinylated protein profiling method13. According to human genetic studies, RTN4IP1 is associated with optic neuropathy, muscle loss and global developmental delay, indicating mitochondrial dysfunction39,40. Nonetheless, the molecular understanding of RTN4IP1 has remained unclear. Thus, we aimed to clarify its submitochondrial localization and identify its function in the mitochondrial matrix.
We first confirmed that RTN4IP1 expression was the highest in the heart, followed by the soleus muscle, with the TA muscle showing the lowest expression level (Fig. 3a). MitoFates27 prediction (0.900 value) and identification of biotinylated peptides in MTS-APEX2-labeled tissues strongly indicated its matrix localization. Immunofluorescence imaging of RTN4IP1-V5-APEX2 showed a mitochondrial expression pattern for both V5 and biotinylated proteins (Fig. 3b, top panel). We next tested the mitochondrial matrix-targeting capability of the MTS of RTN4IP1, which includes the N-terminal 32 amino acids. We expressed an APEX2 construct fused to this expected MTS. Confocal microscopy clearly demonstrated a mitochondrial distribution pattern for both V5 and biotinylated proteins (Fig. 3b, middle panel). We also generated an MTS-deleted RTN4IP1-APEX2 construct (RTN4IP1(Δ1-32aa)-V5-APEX2), which showed a clear cytosolic distribution in both anti-V5 and streptavidin staining (Fig. 3b, bottom panel). Collectively, these data strongly support the matrix localization of RTN41P1 rather than the outer mitochondrial membrane.
Last, APEX-electron microscopy25 confirmed the submitochondrial localization of APEX-tagged proteins. In RTN4IP1-APEX2-expressing cells, APEX-mediated DAB/OsO4 staining (darker regions) showed a staining pattern consistent with mitochondrial matrix localization (Fig. 3c). Taken together, these results confirmed that RTN4IP1 is a mitochondrial matrix protein with a strong mitochondrial matrix-targeting sequence.
RTN4IP1 is a mitochondrial NAD(P)H oxidoreductase
RTN41P1 is an NADPH-binding protein according to the Protein Data Bank (PDB) (2VN8) (Extended Data Fig. 5a). Considering that NADPH-binding proteins are rare in the mitochondrial matrix and are typically related to biosynthetic pathways or antioxidant control, we hypothesized that RTN4IP1 exerts enzymatic activity by using NADPH as a cofactor. Supporting this notion, structural homology analysis indicated that the reported structure of RTN4IP1 showed structural similarity to Escherichia coli quinone NADPH oxidoreductase (PDB ID 1QOR)41 in the NADPH-binding quinone oxidoreductase domain42–44 (Fig. 3d). This suggests that RTN41P1 has possible quinone oxidoreductase activity.
To assess the NADPH oxidoreductase activity of RTN4IP1 with a quinone substrate, we purified recombinant RTN4IP1 protein and measured its catalytic activity using the oxidation and reduction indicator 2,6-dichlorophenolindophenol (DCPIP)45–47 (Fig. 3e). As depicted in Fig. 3f, a rapid decrease in the absorption at 600 nm was observed on adding RTN4IP1 and NADPH. We also confirmed that RTN4IP1 could use NADH as a cofactor using the same DCPIP assay system (Extended Data Fig. 5b). These results indicate that RTN4IP1 plays a catalytic role in transferring electrons from NAD(P)H to electron acceptors such as quinone molecules in the mitochondrial matrix.
Next, we examined the perturbed oxidoreductase activity of RTN4IP1 mutants. We tested the G215A mutation located at the conserved NAD(P)H binding motif region (208-VLILGASGGVG-218), which is predicted to bind the pyrophosphate group of NAD(P)H (Extended Data Fig. 5c,d)48. As expected, the G215A-RTN4IP1 mutant protein showed abolished oxidoreductase activity (Fig. 3g, top panel). We also tested a patient-derived RTN4IP1 mutation (R103H, c.308G>A) (Extended Data Fig. 5c), which is linked to optic neuropathy disease39. In our DCPIP assay, this R103H-RTN4IP1 mutant protein also showed negligible oxidoreductase activity compared to the WT RTN4IP1 protein (Fig. 3g, bottom panel), which indicates that this mutation can perturb the enzymatic activity of RTN4IP1.
RTN4IP1 is required for CoQ biosynthesis
To further characterize the detailed molecular function of RTN4IP1, we conducted the interactome profiling of RTN41P1 in the mitochondrial matrix using TurboID49. Proteins biotinylated by RTN4IP1-TurboID were profiled via definitive mass spectrometric identification of biotinylated peptides with the biotinylated lysine residues (K + 226 Da)50. We used MTS-TurboID as a control sample, which is uniformly distributed throughout the mitochondrial matrix.
A total of 639 and 438 proteins were identified by MTS-TurboID and RTN4IP1-TurboID, respectively. Among these, 399 proteins were common between the two experiments (Extended Data Fig. 6a and Supplementary Data 6). Through quantitative comparative analysis based on normalized mass intensity, we obtained 32 interactome candidate proteins that were consistently labeled by RTN4IP1-TurboID (P < 0.05, FC > 2; Fig. 4a and Extended Data Fig. 6b). Two proteins (COQ3, COQ5) are involved in CoQ biosynthetic processes; COQ3 was the most strongly biotinylated protein by RTN4IP1-TurboID, suggesting a potential involvement of RTN4IP1 in the CoQ production pathway within the mitochondria (Fig. 4b).
From this interactome analysis result, we hypothesized that RTN4IP1 regulates the function of COQ3, an O-methyltransferase that participates in the O-methylation steps of intermediates in CoQ biosynthesis. However, the regulatory mechanism underlying COQ3 has not been fully explained51,52. To determine whether the O-methyltransferase activity of COQ3 depends on RTN4IP1, we performed targeted mass spectrometric analysis using a high-resolution Orbitrap system in parallel reaction monitoring (PRM) mode53 to measure the conversion levels of demethylated CoQ2 (DMeQ2)51 to CoQ2 by COQ3. (Fig. 4c, Supplementary Fig. 2a,b and Supplementary Fig. 3a).
As a result, we observed that COQ3 generated a higher amount of CoQ2 (32–35% conversion) in the presence of RTN4IP1 compared to the control experiment (0.6–0.7% conversion). We also found that the O-methylation of DMeQ2 was not carried out by RTN4IP1 alone, supporting that RTN4IP1 assists with the O-methylation reaction of COQ3 as an interacting partner. Additionally, RTN4IP1 could not accelerate the O-methylation reaction of COQ3 in the absence of NADPH or NADH. We further confirmed that the COQ3 O-methylation activity of the two RTN4IP1 mutants (G215F, R103H) mutants was significantly attenuated compared to that of the WT RTN4IP1 protein (Fig. 4d). Furthermore, when we conducted the COQ3 O-methylation reaction using DMeQ2 with a reducing agent (sodium cyanoborohydride), there was an approximately fourfold increase in the level of O-methylation. However, this increase was not as high as when RTN4IP1 and NAD(P)H were involved (Extended Data Fig. 6c,d). These findings indicate the crucial role of RTN4IP1 in generating a reduced hydroquinone intermediate, which is subsequently used for the O-methylation reaction of COQ3 (Fig. 4e).
We expanded the mass spectrometric metabolite analysis to other CoQ molecules using three C2C12 mouse myoblast cell line samples: control, Rtn4ip1-knockout (KO) and RTN4IP1-overexpression (OE) cells. LC and PRM parameters for targeted MS analysis of CoQs were optimized using commercially available standard CoQ molecules (CoQ2, CoQ9 and CoQ10) and in house-synthesized CoQ derivatives (DMeQ2) (Supplementary Figs. 4–8). We identified CoQs and measured CoQ levels in the three cell lines, showing a marked reduction of CoQ9, CoQ9H2, CoQ10 and CoQ10H2 levels in Rtn4ip1-KO cells (Fig. 4f, Extended Data Fig. 6e,h and Supplementary Fig. 3b). Additionally, the ratio of reduced CoQ was decreased in Rtn4ip1-KO cells compared to that of control cells. These results were consistent with results from the LC–parallel reaction monitoring (LC–PRM) assay to quantify the levels of de novo synthesis of CoQs using a heavy version of 4-hydroxybenzoic acid (4-HB), a precursor molecule in CoQ synthesis54,55. As depicted in Fig. 4g (and Extended Data Fig. 6f,i and Supplementary Fig. 3b), de novo-synthesized heavy CoQ9 and heavy CoQ10 levels were significantly reduced in the Rtn4ip1-KO cells.
The levels of all types of CoQ, both endogenous and de novo-synthesized, did not increase significantly in RTN4IP1-OE C2C12 cells. This suggests that the endogenous expression level of RTN4IP1 is not a rate-limiting factor for CoQ biosynthesis (Fig. 4f,g). However, measurements with our de novo-synthesized CoQ revealed a significantly higher proportion of reduced CoQ in RTN4IP1-OE cells compared to that of control cells (Extended Data Fig. 6i). We also measured the CoQ levels in cells where RTN4IP1 was rescued from Rtn4ip1-KO cells (Fig. 4h, Extended Data Fig. 6g,j and Supplementary Fig. 3b). The amount of CoQ9 in the rescue cells increased; however, the CoQ quantity in the rescued cells was not fully restored to the levels in control cells, indicating potential irreversible mitochondrial damage. Furthermore, we observed a significant increase (2.69-fold) in the CoQ2 level when RTN4IP1-OE cells were treated with exogenous DMeQ2. This result confirmed that RTN4IP1 is involved in the O-methylation step of the demethylated precursors in CoQ synthesis (Supplementary Fig. 3c), supporting that RTN4IP1 is a crucial factor for CoQ synthesis in the mitochondria.
RTN4IP1 deficiency induces oxidative stress
CoQs play a crucial role in mediating electron transport between Complex I/II and Complex III of the OXPHOS complex while also serving as an antioxidant56. Notably, CoQ metabolites have demonstrated protective functions against oxidative stress56. In the mitochondrial matrix, CoQ possesses a quinone moiety and functions as a well-characterized antioxidant in its reduced quinol state57. Mitochondrial-synthesized CoQ effectively protect against excessive reactive oxygen species (ROS) generation across various subcellular membranes through the lipid transport mechanism56. Therefore, we hypothesized that RTN4IP1 might protect the mitochondria from ROS by supporting the generation of protective CoQ.
To investigate this hypothesis, we conducted TEM imaging to evaluate subcellular ultrastructural changes arising from RTN4IP1 depletion. As shown in Fig. 5a, many vacuole-like structures were markedly increased in Rtn4ip1-KO C2C12 cells. Mitochondrial cristae of Rtn4ip1-KO cells were collapsed, the matrix exhibited reduced electron density and outer membrane rupture was observed in numerous mitochondria (Fig. 5b and Extended Data Fig. 7a,b), resembling structures seen under ferroptosis-inducing conditions58–60. Additionally, substantial multilamellar body structures, linked to the autophagic process to degrade damaged mitochondria61, were observed in Rtn4ip1-KO cells (Fig. 5a and Extended Data Fig. 7a,b).
Next, we assessed oxidative stress by measuring the oxidized nuclear DNA content in Rtn4ip1-KO cells using anti-8-oxo-dG monoclonal antibody (Fig. 5c). DNA staining using the antibody showed a higher count of foci in Rtn4ip1-KO cells (average 262 per cell) compared to that of control C2C12 cells (average 117 per cell), indicating increased foci in the nucleus (Fig. 5c). Collectively, these results indicate that RTN4IP1 deficiency leads to endogenous ROS accumulation and increased damage due to external oxidative stress, potentially due to a lowered level of the antioxidant CoQ.
RTN4IP1 is essential for mitochondrial respiration
Given the essential role of CoQ in the electron transport chain, we further tested whether RTN4IP1 could modulate the OXPHOS activity of the mitochondria. We observed a substantial reduction in the tetramethylrhodamine, ethyl ester (TMRE) signal, as an indicator of mitochondrial membrane potential, in Rtn4ip1-KO cells compared to that of control C2C12 cells (Fig. 5d and Supplementary Fig. 9a,b).
As a diminished membrane potential is directly linked to decreased OXPHOS activity in mitochondria due to oxidative damage to electron transport chain proteins, we next evaluated the oxygen consumption rate (OCR) and the expression of OXPHOS complex subunits. The overall OCR was lower in Rtn4ip1-knockdown (KD) C2C12 cells transfected with small interfering RNA (siRNA) compared to that of control cells (Extended Data Fig. 8a). However, there were no differences in the levels of OXPHOS complex proteins between the Rtn4ip1-KD and control cells (Supplementary Fig. 9c). In Rtn4ip1-KO cells, the decrease in OCR was even more pronounced, accompanied by reduced expression levels of OXPHOS complex proteins, particularly those within complexes I, III and V (Fig. 5e and Supplementary Fig. 9d).
Overexpression of RTN4IP1 increased the OCR of C2C12 cells (Extended Data Fig. 8b and Supplementary Fig. 9e). We also examined OCR in Rtn4ip1-KO cells expressing RTN4IP1; although there was a slight increase, the OCR did not fully recover to the level of control cells (Extended Data Fig. 8c and Supplementary Fig. 9f). This result indicates that RTN4IP1-deficient mitochondria may suffer substantial damage, which cannot be easily recovered by its subsequent expression. Future investigations should consider the potential of permanent mitochondrial damage due to CoQ deficiency and the broader mitochondrial roles of RTN4IP1, independent of CoQ synthesis. Collectively, these results are in good agreement with the elevated CoQ levels in the same cell lines (Fig. 4f–h). Taken together, these data indicate that RTN4IP1 potentially affects OXPHOS activity through CoQ biosynthesis regulation.
Short-tail CoQ rescue deficiency of RTN4IP1 in flies
Next, we tested whether the CoQ-deficient phenotype of Rtn4ip1-KO C2C12 cells could be ameliorated through CoQ analog supplementation. CoQ2 with a short isoprene tail exhibits enhanced membrane permeability compared to that of longer-tail CoQ molecules, making it advantageous for mitochondrial delivery62. We found that treatment with CoQ2 contributed to the partial rescue of reduced respiratory defects of Rtn4ip1-KO cells (Fig. 5f).
Notably, whole-body Rtn4ip1-KO in mice has been reported as lethal according to the International Mouse Phenotype Consortium dataset, pointing to the essential physiological role for RTN4IP1. Hence, we used a Drosophila model, which carries a conserved ortholog of RTN4IP1 (dRTN4IP1, Dmel/CG17221) to study the in vivo RTN4IP1 function (Extended Data Fig. 5e). Ubiquitous expression of dRTN4IP1 RNAi with Act5C-GAL4 (Act5C>dRTN4IP1 RNAi) resulted in a pupal lethal phenotype (Fig. 6a). LC–PRM analysis showed a decreased number of CoQ species in dRTN4IP1-KD flies during third-instar larvae stage compared to that of the control (Act5C-GAL4/+) (Fig. 6b and Extended Data Fig. 9a,b). These results indicate that dRTN4IP1 is also required for CoQ synthesis in Drosophila.
Finally, we tested whether CoQ treatment could rescue respiratory defects in the fly in vivo model. Muscle-specific knockdown of RTN4IP1 with Mef2-GAL4 (Mef2>dRTN4IP1 RNAi) produced viable adults, but showed striking mitochondrial defects with severely perturbed cristae structures as assessed by TEM imaging of indirect flight muscles (Fig. 6a,c). These flies also displayed dramatically reduced locomotor activity in a climbing assay (Fig. 6d). The locomotor defect of dRTN4IP1-KD flies was significantly restored by supplementation of CoQ2 in the diet for 24 h (Fig. 6d and Supplementary Video 1). These results indicate that the loss of dRTN4IP1 in the fly muscle tissue directly leads to CoQ deficiency and motor defects, which can be rescued by CoQ analog treatment. Overall, our findings indicate the indispensable role of the RTN4IP1–CoQ axis in maintaining mitochondrial respiration and muscle function (Fig. 6e).
Discussion
We established MAX-Tg mice, facilitating the profiling of tissue-specific matrix proteomes, and used MTS-APEX2 to efficiently label mitochondrial matrix proteins. The robust activity of APEX2 observed in vivo within muscle tissues is consistent with a recent report using APEX in the mouse brain for electron microscope imaging63.
RTN4IP1 was first proposed as a mitochondrial protein interacting with the endoplasmic reticulum membrane protein reticulon 4 (RTN4) (also known as neurite outgrowth inhibitor or NOGO) using a yeast two-hybrid assay64 and coimmunoprecipitation experiment. However, the detailed molecular mechanisms of RTN4IP1 underlying its role in OXPHOS activity at the mitochondrial matrix/inner mitochondrial membrane39,40 are yet to be investigated. In the present study, we revealed that RTN4IP1 is mainly expressed in the mitochondrial matrix of the heart and soleus muscle tissues and is involved in CoQ biosynthesis assisting the O-methyltransferase function of COQ3.
We identified that RTN4IP1 assists the O-methylation reaction of COQ3 in the presence of a reducing agent. These findings suggest that the temporary reduction of the DMeQ2 intermediate to the hydroquinone intermediate by RTN4IP1/NAD(P)H serves as a crucial substrate in the O-methylation reaction of COQ3. It is worth noting that the hydroxyl group of the reduced hydroquinone can function as a methyl acceptor in the O-methylation reaction of COQ3 with SAM51, and our results indicate that the reductase activity of RTN4IP1 can provide the reduced hydroquinone substrate for the sequential O-methylation reaction of COQ3. Additionally, RTN4IP1 and COQ3 have strong coexpression or codependency profiles (RCHS4 and Depmap database) (Supplementary Table 1). These profiles also support coupling of the enzymatic function of RTN4IP1 and COQ3 for CoQ synthesis. It is noteworthy that the C-methylation reaction of COQ5 also requires putative reductase activity65. Given that we identified COQ5 as part of the interactome of RTN4IP1-TurboID, it will be intriguing to further investigate whether RTN4IP1 can assist this reaction of COQ5.
Notably, RTN4IP1 is highly conserved across species, including humans. The similarity of predicted three-dimensional structures of RTN4IP1 orthologs by Alphafold66 (Extended Data Fig. 5e) indicates that these RTN4IP1 orthologs in eukaryotic systems may exhibit similar NAD(P)H activity in CoQ biosynthesis. Here, we confirmed that the RTN4IP1 ortholog in Drosophila is involved in CoQ synthesis for maintaining mitochondrial function. An ortholog of RTN4IP1 in Caenorhabditis elegans (Rad-8) was also identified as a mitochondrial protein, with mutations of this gene causing increased sensitivity to oxidative stress and mitochondrial defects67. The yeast ortholog of RTN4IP1, Yim1p, is also identified as a mitochondrial NAD(P)H quinone oxidoreductase protein and its mutant showed reduced resistance to oxidative stress68. Further investigations are required to confirm the relationship between RTN4IP1 orthologs and CoQ levels in these organisms.
Our results also offer insights in the treatment of conditions associated with genetic defects of RTN4IP1. The decreased mobility in the muscle-specific dRTN4IP1-KD fruit fly accurately reflects the reported muscle diseases in human patients carrying defects in RTN4IP1 (refs. 39,40,69–71). Using the fruit fly model, we demonstrated that soluble CoQ supplements could alleviate locomotor defects in dRTN4IP1-KD flies. These results indicate that CoQ supplementation could be a potentially effective treatment for diseases in humans resulting from RTN4IP1 mutations.
Moreover, our data indicate the presence of other intriguing muscle-specific mitochondrial proteins such as MYOM2 and PRDX1 (Supplementary Table 2 and Supplementary Data 5). These proteins show mitochondrial localization patterns in the Human Protein Atlas. Moreover, many of our muscle-specific mitochondrial proteins show high expression in muscle tissues and in the human tissue transcriptome database (GTEx) (Supplementary Table 3). This suggests that our findings from MAX-Tg mice might be relevant to tissue-specific expression in humans. We anticipate that these proteins may play a muscle-specific role in supporting mitochondrial function, which requires further investigation.
In conclusion, we successfully used the APEX2 technique to generate MAX-Tg mice, which can be used for obtaining tissue-specific mitochondrial matrix proteome data. Through these MAX-Tg mice, we unveiled new mitochondrial matrix proteins, particularly RTN4IP1, demonstrating its role as an NAD(P)H oxidoreductase that supports the O-methyltransferase activity of COQ3 in CoQ biosynthesis. This study demonstrates the potential use of MAX-Tg mice in identifying tissue-specific mitochondrial proteins and their metabolic implications in diverse disease models.
Methods
Matrix-V5-APEX2 (MAX-Tg) mouse model
MTS-V5-APEX2 Tg mice were generated, interbred and maintained in specific pathogen-free conditions at Macrogen (Seoul, Republic of Korea). All manipulations were conducted under Macrogen Institutional Animal Care and Use Committee approval. Briefly, MTS-V5-APEX2 DNA was comicroinjected into a single-cell embryo. Fourteen to 16 injected single-cell-stage embryos were surgically transplanted into the oviducts of pseudopregnant recipient ICR mice. After the F0 offspring were born, genotyping was performed by PCR. MAX-Tg mice were mated with WT mice and pups were born at the expected Mendelian ratio.
LSL-Matrix-APEX2 Tg (LSL-MAX-Tg) mouse model
LSL-Matrix-APEX2 Tg (LSL-MAX-Tg) mice were generated, interbred and maintained in specific pathogen-free conditions at Cyagen Biosciences (Taicang City, China). The genomic RNA (CTCCAGTCTTTCTAGAAGATGGG) of the mouse Rosa26 gene locus, the donor vector containing the ‘CAG promoter-loxP-3*polyA-loxP-Kozak-MTS-V5-APEX2-polyA’ cassette, and Cas9 messenger RNA were coinjected into fertilized mouse eggs to generate targeted conditional knockin offspring. F0 founder animals were identified by PCR followed by sequence analysis, which were bred to WT mice to test germline transmission and F1 animal generation.
Cell culture and transfection
HEK293T and C2C12 cells were obtained from the American Type Culture Collection (ATCC), which were used in more than 20 passages. HEK293T Flp-in T-rex cells were obtained from ThermoFisher Scientific (catalog no. R78007). The cell lines were frequently checked and tested for morphology and Mycoplasma contamination under a microscope but were not authenticated. All cell lines were cultured in high-glucose Dulbecco’s modified Eagle medium (DMEM) with 10% fetal bovine serum (FBS) at 37 °C in 5% CO2 (v/v). All cell lines were transiently transfected at 60–80% confluence using polyethyleneimine.
Histology and immunofluorescence staining
Mice were anesthetized with isoflurane and the muscles were dissected. Isolated muscles were frozen in a beaker filled with a slurry of isopentane at −80 °C and stored in a deep freezer until further analysis. Frozen muscles were sectioned using a cryostat (Leica CM3050S) at 10 μm thickness. Cryosections were used for hematoxylin-eosin staining and immunofluorescence analysis. For immunofluorescence, the sections were fixed with ice-cold methanol for 10 min, permeabilized with 0.25% Triton X-100 for 15 min and blocked with 1% bovine serum albumin (BSA)/Tris-buffered saline with Tween (TBST) solution for 30 min at room temperature. The sections were incubated overnight at 4 °C with primary antibodies (anti-V5, anti-laminin, anti-TOM20, streptavidin-Alexa Fluor 647) diluted in 1% BSA/TBST solution. After washing with TBST solution, the sections were incubated at room temperature for 1 h with the secondary antibody diluted in 1% BSA/TBST solution. The stained sections were incubated with Hoechst 33342 solution for 5 min at room temperature and then mounted with antifaded fluorescence mounting medium. All images were acquired on a Zeiss LSM 880 confocal microscope.
Immunofluorescence and confocal microscopy
To visualize the subcellular localization of transiently expressed RTN4IP1-V5-APEX2, HEK293T cells were plated on coverslips (thickness no. 1.5, radius 18 mm). The cells were fixed in 4% paraformaldehyde and permeabilized with cold methanol for 5 min at −20 °C, followed by washing with Dulbecco’s phosphate-buffered saline (DPBS) and blocking for 1 h with 2% BSA in DPBS at room temperature. Immunolabeling was conducted in blocking solution with appropriately diluted antibodies (anti-V5 and anti-TOM20) and Alexa Fluor-labeled secondary antibodies (anti-streptavidin-Alexa Fluor 647, mouse anti-Alexa Fluor 488 and rabbit anti-Alexa Fluor 568) with extensive washes. Immunofluorescence images were obtained and analyzed on an SP8 X Leica microscope with an objective lens (HC PL APO ×100/1.40 oil), white light laser (470–670 nm, 1 nm tunable laser) and Hybrid Detector (HyD), which was controlled with LAS X software.
Immunofluorescence imaging of oxidized DNA
To visualize the 8-oxo guanosine, control or Rtn4ip1-KO C2C12 cells were plated on coverslips (thickness no. 1.5, radius 18 mm). The cells were fixed and permeabilized with cold methanol for 30 min at −20 °C, followed by washing with DPBS. To eliminate RNA, the cells were treated with RNase solution for 1 h at 37 °C. After washing three times with DPBS, nuclear DNA was denatured with 2 N HCl for 10 min. Following another set of three washes with DPBS, the cells underwent a 1 h blocking step at room temperature using a 2% BSA solution in DPBS. Immunolabeling was performed within this blocking solution using a suitably diluted anti-8-OhdG antibody and mouse anti-Alexa 568. The cells were then counterstained with 4,6-diamidino-2-phenylindole. Immunofluorescence images were obtained and analyzed on an SP8 X Leica microscope with an objective lens (HC PL APO ×100/1.40 oil), white light laser (470–670 nm, 1 nm tunable laser) and HyD detector, which was controlled with LAS X software. Foci stained with anti-8-oxo-dG were counted using ImageJ software.
Measurement of membrane potential
TMRE fluorescence analysis was conducted using flow cytometry and a microplate reader. Control or Rtn4ip1-KO C2C12 cells were cultured in an incubator (37 °C, 5% CO2). As a control experiment, the cells were treated with 200 µM of mesoxalonitrile 4-trifluoromethoxyphenylhydrazone (FCCP) for 3 h. For flow cytometry, the cells were collected using trypsin treatment and then resuspended in 0.5 ml of DMEM supplemented with 5% FBS containing 200 nM of TMRE for 30 min at 37 °C. To avoid background fluorescence signals, gating was applied based on intensity levels observed in negative control samples (TMRE nontreated). Cellular fluorescence was measured using the Flow Activated Cell Sorter (FACS CantoII). Data were analyzed by BD FACSDiva Software. Fluorescence excitation at 520 nm and emission at 580 nm was evaluated on a black 96-well culture plate with a clear bottom using a microplate reader (Molecular Devices).
OCR measurement
Real-time measurements of OCR were performed using the Seahorse Xfe96 Extracellular Flux Analyzer (Agilent) with Seahorse XF Cell Mito Stress Test Kit (catalog no. 103015-100). One day before the measurements, cells were plated at 1.2 × 104 cells per well. One hour before the measurements, the cell culture medium was changed to prewarmed DMEM supplemented with 10 mM glucose, 1 mM pyruvate and 2 mM glutamine. To test mitochondrial stress, 1.5 µM oligomycin, 2 µM FCCP, 0.5 µM rotenone and 0.5 µM antimycin A were used according to the suggested protocol from the manufacturer. OCR was measured according to the manufacturer’s Cell Mito Stress Test protocol. For knockdown experiments, 4.0 × 104 cells per ml were reverse-transfected with siRNA and seeded at 0.8 × 104 cells per well 2 days before the measurements.
Recombinant RTN4IP1 expression and purification
The DNA fragments encoding WT RTN4IP1 were amplified by PCR and cloned into a modified pET-21a vector. For protein production, the plasmids were transformed into Escherichia coli BL21 (DE3) cells. Protein expression was induced with 0.3 mM isopropyl-β-d-1-thiogalactopyranoside when the cells reached an absorbance of 0.6 at an optical density of 600 nm; culturing was continued at 18 °C for 18 h. The cells were collected using centrifugation at 5,000g for 10 min and resuspended in lysis buffer (25 mM sodium phosphate pH 7.8, 400 mM sodium chloride and 10 mM imidazole). After cell lysis by sonication, lysed cells were clarified using centrifugation for 30 min at 10,000g. The supernatant was applied onto an Ni2+-IMAC affinity column equilibrated with binding buffer consisting of 25 mM sodium phosphate (pH 7.8), 400 mM NaCl and 10 mM imidazole. The proteins were eluted with binding buffer supplemented with 400 mM imidazole. The proteins were purified using Amicon filters (Milipore) and eluted in buffer with PBS. The protein solution was concentrated to approximately 5 mg ml−1 and flash-frozen in liquid nitrogen for storage.
RTN4IP1 oxidoreductase activity
Oxidoreductase activity of RTN4IP1 was determined by measuring the absorption of DCPIP (50 μM) spectrophotometrically at 600 nm using the SpectraMax i3x Multi-Mode Microplate Reader (Molecular Devices). Absorption was measured after adding purified RTN4IP1 (100 nM) protein or BSA (100 nM) to a reaction mixture containing 100 mM Tris-HCl, 0.01% Tween 20 and 200 μM NADPH (pH 7.4).
Construction of the RTN4IP1-V5-TurboID cell line
Flp-In T-Rex 293 cells were maintained in DMEM supplemented with 10% FBS, 2 mM l-glutamine, 50 units ml−1 penicillin and 50 µg ml−1 streptomycin at 37 °C under 5% CO2. Cells were grown in a T25 flask. Stable cell lines were first generated by transfection with the pcDNA5 expression construct plasmid expressing RTN4IP1-V5-TurboID or Matrix-V5-TurboID. Cells were transfected at 60–80% confluence using 6 μl of polyethyleneimine transfection reagent and 2,000 ng plasmid per six-well cell culture plate. After 24 h, the cells were split into a 90 mm cell culture dish (SPL, 11090) with hygromycin (2 µg ml−1). Media containing hygromycin were changed every 3–4 days. After 2–3 weeks, 3–4 colonies were selected and transferred to a 24-well plate. The cells were continuously split into larger plates and a cell stock was prepared. After splitting the cells into a six-well plate, separate samples were prepared for expression detection. RTN4IP1-V5-TurboID or Matrix-V5-TurboID expression was induced by 5 ng m−1 doxycycline.
Construction of the Rtn4ip1-KO C2C12 cell line
The CRISPR–Cas9 technique was used to generate knockout cell lines. Single-guide RNAs (sgRNAs) were designed using the CRISPR RGEN Tools website (http://www.rgenome.net); the sequence 5′-GGAAGCGGTCGAAAGATAAA-3′ was used as a non-target control, while 5′-TCTGCCATAAACAAGGTTGG-3′ was used to target exon 4 of the mouse Rtn4ip1 gene. Each sgRNA was cloned into the lentiCRISPRv2 vector. Production and transduction of CRISPR lentivirus was performed and puromycin (2 µg ml−1) was used to select knockout cells.
Construction of the RTN4IP1-overexpressed C2C12 cell line
A retrovirus was used to generate overexpression cell lines. MSCV PIG (Puro-IRES-GFP) was a gift from S. Lowe (Addgene catalog no. 18751). Vector and PCR-amplified human RTN4IP1 complementary DNA were digested with XhoI and EcoRI for ligation. The cloned vector was transfected to Phoenix-AMPHO (ATCC, CRL-3213) using Lipofectamine 2000. Sixteen hours after plasmid transfection, the culture medium was changed to a fresh medium with 1 mM sodium butyrate (Sigma, B5887). Twenty-four hours after the medium change, the medium was collected, centrifuged at 400g for 5 min and filtered by a 0.45 μm PES syringe filter. The filtered medium was mixed with fresh medium at a 1:2 ratio with 6 μg ml−1 polybrene to infect C2C12 cells. Transduced cells were selected by puromycin.
Mitoplast preparation from the skeletal muscle of mice
Dissected muscle tissues were minced and washed with Chappel–Perry buffer (50 ml of 1 M KCl, 25 ml of 0.5 M MOPS (pH 7.4), 25 ml of 0.1 M MgSO4-7H2O, the volume brought up to 500 ml with ddH2O and 3.03 g ATP; pH 7.4). Chappel–Perry buffer (10 ml g−1 of tissue) with dispase (1 mg g−1) was added and the samples were incubated on ice for 5 min with constant stirring, followed by the addition of trypsin (10 mg g−1) and an additional incubation of 15 min. The samples were then homogenized with a tight pestle three times. The reaction was stopped by adding Chappel–Perry-2 buffer (150 ml of Chappel–Perry buffer with 2.5 ml of 0.1 M EGTA and 0.3 g of BSA) (10 ml g−1 tissue). The protease was removed by centrifuging at 12,000g for 10 min and the pellet was resuspended in 10 ml g−1 tissue Chappel–Perry-2 buffer. The samples were further homogenized with the tight pestle thrice and centrifuged at 600g for 10 min. The supernatant was collected and 10 ml g−1 of tissue Chappel–Perry-2 buffer was added to the pellet. The pellet was homogenized with a loose pestle twice, followed by centrifugation at 600g for 10 min. The supernatant was collected, combined with the first supernatant, and filtered through a cheesecloth. The mitochondria were pelleted by centrifuging at 7,000g for 20 min. KME buffer (10 ml g−1 tissue; 100 mM KCl, 50 mM MOPS, 0.5 mM EGTA) was added to the pellet, followed by digitonin (1 mg ml−1). Trypsin and proteinase K were added (final concentration of 5 µg ml−1 each) and samples were incubated for 15 min at 4 °C. Proteases were inactivated by adding phenylmethylsulfonyl fluoride (1 mM final concentration) and incubating for 10 min at 4 °C. Finally, the samples were centrifuged at 7,000g for 20 min.
APEX2-mediated in situ biotinylation reaction in live cells
All cell lines expressing APEX2 were incubated with 250 μM biotin phenol for 30 min, followed by treatment with 1 mM H2O2 and quenching with 1 M sodium azide, Trolox and sodium ascorbate. The cells were then lysed with RIPA buffer containing a 1× protease cocktail for immunoblotting or fixed in 4% paraformaldehyde for immunofluorescence.
In situ biotinylation reaction in the muscle of MAX-Tg mice
The dissected tissues were placed in test tubes and incubated with DBP (500 μM) in PBS for 1 h. Subsequently, diluted H2O2 (20 mM) was added to each sample for a final concentration of 2 mM H2O2 and the tubes were gently agitated for 2 min. The reaction was then quenched by adding DPBS containing 10 mM Trolox, 20 mM sodium azide and 20 mM sodium ascorbate to the tubes. The labeled tissues were homogenized using a bead beater. Homogenized tissues were lysed with 1 ml of RIPA buffer containing 1× protease inhibitor cocktail. Each sample was immunoblotted with anti-V5 and streptavidin-horseradish peroxidase to detect the expression of the processed bait protein (MTS-V5-APEX2) and DBP-modified proteins by Matrix-APEX2, respectively. Line-scan analysis was carried out using ImageJ. After subtraction of the background intensity value, protein signals from the top to the bottom of the protein marker were placed on the x axis, while the signal intensity from the top to the bottom of each lane was placed on the y axis.
Biotin labeling and tissue lysis
The dissected muscle tissues were placed in test tubes and incubated with DBP (500 μM) in PBS for 1 h. Diluted H2O2 (20 mM) was then added to each sample for a final concentration of 2 mM H2O2 and then the tubes were gently agitated for 2 min. The reaction was then quenched by adding DPBS containing 10 mM Trolox, 20 mM sodium azide and 20 mM sodium ascorbate to the tubes. The labeled tissues were homogenized using a bead beater. Homogenized tissues were lysed with 1 ml of lysis buffer (4% sodium dodecyl sulfate in 1× TBS containing 1× protease inhibitor cocktail). For clarifying, the lysates were ultrasonicated (Bioruptor) for 15 min; each step was performed on ice or at 4 °C in a cold room.
Biotin labeling by RTN4IP1-V5-TurboID and cell lysis
For mass sampling, RTN4IP1-V5-TurboID and Matrix-V5-TurboID stable cells were grown in three T75 flasks to obtain triplicate samples. For transiently expressing constructs, cells at 70–80% confluence were treated with 5 ng ml−1 doxycycline. After 16 h, 50 μM biotin was added for 30 min and incubated at 37 °C. After biotin labeling, the cells were washed three to four times with cold DPBS and lysed with 1 ml of lysis buffer. For clarifying, the lysates were ultrasonicated for 15 min in a cold room.
Heavy 4-HB treatment on C2C12 cells
Treatment of C2C12 cells with heavy 4-HB was performed following published studies54. For stable isotope labeling, C2C12 cells were treated with p-hydroxy-(aromatic-13C6) benzoic acid ([13C6] 4-HB) (30 μM, 48 h) in high-glucose DMEM with 10% FBS at 37 °C in 5% CO2 (v/v). After treatment, cells were washed with PBS and released from the 150-mm cell culture dish using a cell scraper. Suspended cells were collected by centrifugation and cell pellets were stored at −80 °C.
CoQ extraction for LC–PRM analysis
Coenzymes Q9 and Q10, and their reduced forms, were extracted according to a previous study with modifications72. Briefly, freeze-dried cells were extracted with 300 µl of methanol using a mixer mill (MM 440, Qiagen) at a frequency of 30 s with three repetitions. Extracts were placed on ice for 15 min and then centrifuged at 12,000g at 4 °C for 10 min. The supernatants were transferred to a clean tube. This process was repeated twice. The remaining precipitate was re-extracted with methanol. The pooled supernatants were concentrated under a nitrogen stream, reconstituted with 100 µl of methanol and then subjected to LC–MS/MS.
O-methylation reaction of COQ3 and RTN4IP1
The O-methylation activity assay was performed as reported previously51. The in vitro O-methyltransferase activity of COQ3 with RTN4IP1 was measured using synthetic DMeQ2 as a substrate. In the assay, 100 μM of substrate and 100 μM of S-adenosyl-methionine (as a methyl donor) were resolved into 200 μl of reaction mixture (0.05 M sodium phosphate, pH 7.0 1.0 μM ZnSO4). For each condition, 1 μM of purified green fluorescent protein (GFP), RTN4IP1 and COQ3 were added to the mixture. After incubation (37 °C, 1 h), 5 μl of acetic acid was added to terminate the reaction. Samples were concentrated and resuspended in methanol. The samples were subjected to LC–PRM analysis. The activity is presented as a percentage based on each LC–PRM peak area value (CoQ2 peak area/(CoQ2 peak area + DMeQ2 peak area)).
Climbing assay of dRTN4IP1-KD fruit flies
Flies were maintained on standard cornmeal medium at 25 °C and 50% humidity. Mef2-GAL4 (BL 27390), Act5C-GAL4 (BL 4144) and UAS-dRTN4IP1 RNAi (VDRC 47264) were obtained from the Bloomington Stock Centerand the Vienna Drosophila Resource Center. In the climbing assay, the percentage of flies that successfully climbed over a height of 8 cm in 10 s was calculated. The 3–5-day male flies were treated with CoQ2 containing regular food to a final CoQ2 concentration of 50 μg g−1 for 24 h.
Digestion and enrichment of biotinylated peptides
Cold acetone (4 ml) stored at –20 °C was mixed with the lysates and stored at −20 °C for at least 2 h. These samples were centrifuged at 13,000g for 10 min at 4 °C and the supernatant was gently discarded. The pellet was resuspended in 500 µl of 8 M urea in 50 mM ammonium bicarbonate. The protein concentration was determined using a BCA assay, after which the protein samples were denatured at 650 rpm for 1 h at 37 °C using a Thermomixer (Eppendorf). Sample reduction and alkylation were individually performed by adding 10 mM dithiothreitol and 40 mM iodoacetamide, respectively, and incubating at 650 rpm for 1 h at 37 °C with the Thermomixer. The samples were diluted eightfold using 50 mM ammonium bicarbonate, after which CaCl2 was added for a final concentration of 1 mM. Samples were digested using trypsin (50:1 w/w) at 650 rpm for 6–18 h at 37 °C with the Thermomixer. Insoluble material was removed by centrifuging for 3 min at 10,000g. The streptavidin beads (200 μl) were first washed with 2 M urea in 1× TBS three to four times and then added to the samples. The mixture was then rotated for 1 h at room temperature, followed by washing the beads two to three times with 2 M urea in 50 mM ABC; the flow-through fraction was not discarded. After discarding the supernatant, the beads were washed with pure water and transferred to new tubes. After adding 100 μl of 80%, 0.2% trifluoroacetic acid and 0.1% formic acid, the biotinylated peptides were heated at 60 °C and mixed at 650 rpm. The supernatants without streptavidin beads were transferred to new tubes. This elution step was repeated at least four times and then the total elution fractions were dried for 5 h using a Speed-Vac (Eppendorf). The samples were stored at −20 °C before use in LC–MS/MS analyses.
LC–MS/MS-based proteomic analysis of enriched biotinylated peptide samples
Long analytical capillary columns (100 cm × 75 µm internal diameter) and dual-fritted trap columns (2 cm × 150 µm internal diameter) were packed in house with 3-µm Jupiter C18 particles with a pore size of 300 Å (Phenomenex). The columns were placed in a column heater regulated to a temperature of 45 °C. A NanoAcquity ultrahigh-performance liquid chromatography system (Waters) run in back-flush mode for trapping of samples was operated at a flow rate of 300 nl min−1 over 2 h with a linear gradient ranging from 95% solvent A (H2O with 0.1% formic acid) to 40% of solvent B (acetonitrile with 0.1% formic acid). The enriched samples were analyzed on an Orbitrap Fusion Lumos mass spectrometer (Thermo Scientific) equipped with an in-house customized nanoelectrospray ion source with the following instrumental parameters: spray voltage, 2.2 kV; capillary temperature, 275 °C and radio frequency lens level, 30.0. The precursor ion scan was operated with a scan range of 300 to 1,500 m/z; AGC target of 5 × 105; maximum injection time of 50 ms and resolution of 120,000 at 200 m/z. The MS/MS scan was performed with an isolation width of 1.4 Th, HCD with 30% collision energy, AGC target of 1 × 105, maximum injection time of 200 ms and resolution of 30,000 at 200 m/z.
Proteomic data processing and identification of biotinylated peptides
All MS/MS data were searched by MaxQuant (v.1.5.3.30 and v.1.6.2.3) with the Andromeda search engine at a 10 ppm precursor ion mass tolerance against the UniProt mouse reference proteome database (55,152 entries) or the SwissProt Homo sapiens proteome database (20,199 entries), according to the sample’s origin. Label-free quantification and match between runs were used with the following search parameters: semitryptic digestion, fixed carbaminomethylation on cysteine, dynamic oxidation of methionine, protein N-terminal acetylation and dynamic DBP labeling (delta monoisotopic mass +331.1896 Da) of tyrosine for APEX2 samples or dynamic biotinylation of lysine (delta monoisotopic mass +226.07759 Da) for TurboID samples. A false discovery rate less than 1% was obtained at the unique labeled peptide level and unique labeled protein level. Label-free quantification intensity values were log-transformed for further analysis and missing values were filled by imputed values representing a normal distribution around the detection limit. To impute the missing value, the intensity distribution of mean and standard deviation was first determined, and then for the imputation values, a new distribution based on Gaussian distribution with a downshift of 1.8 and width of 0.3 standard deviations was created for the total matrix.
LC–PRM analysis of CoQ molecules
Standard CoQ molecules, including CoQ2, CoQ9 and CoQ10, were purchased from Sigma-Aldrich, and the respective reduced quinol forms were prepared by partial reduction of CoQs via NaCNBH4 treatment72,73. For the O-methylation in vitro assay, DMeQ2 was synthesized in house. The standard molecules were individually analyzed by LC-Orbitrap MS to determine the feature parameters (retention time, precursor ion m/z and fragment ion m/z) for PRM and to optimize the collision energy to maximize the LC–PRM sensitivity. For all CoQs, the fragment ions corresponding to the head group were used to generate the extracted ion chromatograms (LC–PRM chromatograms). By virtue of the high resolution and mass accuracy (less than 10 ppm or less than 2 mDa) of Orbitrap MS in PRM mode, CoQs can be identified and measured without interference in all samples. All extracted CoQ supernatant samples were reconstituted with 40 µl methanol after concentrating with a Speed-Vac (Concentrator plus, Eppendorf), followed by further centrifugation at 12,000g at 4 °C for 10 min, and then subjected to LC–PRM analysis using a 1290 infinity II UHPLC system (Agilent) and Orbitrap Exploris 480 MS or Q-Exactive Classic MS system (ThermoFisher Scientific) with a heated electrospray ionization interface. Analytes (10 µl) were injected and separated on a Kinetex C18 column (50 mm long by 2.1 mm internal diameter, 1.3 µm, 100 Å; Phenomenex) for Orbitrap Exploris 480 MS or a ZORBAX RRHD Extend-C18 column (50 mm long and 2.1 mm internal diameter, 1.8 µm, 80 Å; Agilent) for Q-Exactive Classic MS. Mobile phase A (2 mM ammonium acetate in 100% LC–MS-grade water) and mobile phase B (2 mM ammonium acetate in 100% LC–MS-grade methanol) were used at a flow rate of 300 µl min−1 to generate a gradient under the following isocratic separation conditions: 0 min, 50% B; 0.01 min, 75% B; 3.01 min, 100% B; 5 min, 100% B; 5.01 min, 50% B; 8 min, 50% B for CoQ2 and DMeQ2 analysis, and 0 min, 50% B; 0.01 min, 75% B; 3.01 min, 100% B; 12 min, 100% B; 12.01 min, 50% B; 15 min, 50% B for CoQ9 and CoQ10 analysis. Electrospray ionization was operated in positive-ion mode at 4 kV under the following conditions: ion transfer tube temperature, 325 °C; sheath gas, 35 a.u; auxiliary gas, 5 a.u. Targeted MS/MS mode was used for the inclusion list containing precursor ions and the corresponding collision energy value under a 30,000 Orbitrap resolution and 110 ms injection time for Orbitrap Exploris 480 MS or a 35,000 Orbitrap resolution and 120 ms injection time for Q-Exactive Classic MS. Figure 4e was obtained by Q-Exactive Classic MS coupled with a ZORBAX RRHD Extend-C18 column, and all other data were obtained from Orbitrap Exploris 480 MS coupled with a Kinetex C18 column. LC–PRM feature parameters for all CoQs in both instrumental settings are summarized in Supplementary Table 4. Quantitation of targeted CoQs was conducted based on chromatographic peak area of fragment ions (obtained by Qual Browser in Xcalibur Software, ThermoFisher Scientific) for each analyte at an adequate retention time window.
Synthesis of (E)-2-(3,7-dimethylocta-2,6-dien-1-yl)-5-hydroxy-6-methoxy-3-methylcyclohexa-2,5-diene-1,4-dione (2) and DMeQ2
The Freidel-Crafts allylation of fumigatin was carried out according to the established procedure (1), with subsequent adjustments. Fumigatin (300 mg, 1.77 mmol) was dissolved in a mixture of ether and ethanol (1:1, 60 ml), followed by dropwise addition of Na2S2O4 (10% in H2O) to the stirred solution until the mixture was decolorized74,75. On decolorization, ether (50 ml) was introduced and the resulting organic layer underwent three washes with brine. The solution was then dried over MgSO4 and concentrated under vacuum. The resulting fumigatin hydroquinone was dissolved in freshly distilled 1,4-dioxane (60 ml) under an argon atmosphere. To this solution, geraniol (817 mg, 5.3 mmol) was added, followed by Bf3OEt2 (8.9 ml, 6.3 mmol). The mixture was left to react at room temperature for 18 h. Postreaction, the mixture underwent brine washing and subjected to three ether extractions. The resulting organic layers were dried using MgSO4, filtered and concentrated under vacuum conditions. The crude product was dissolved in ether (30 ml) and treated with excess FeCl3 in a mixture of water and methanol (1:1) for 30 min. The resulting mixture underwent three ether extractions, followed by drying over MgSO4, filtration and concentration using rotary evaporation. The crude product was then subjected to purification on a Florisil column using the following gradient system: 4:1 hexane/ethyl acetate, 1:1 hexane/ethyl acetate, 100% ethyl acetate, 4:1 hexane/ethyl acetate and 4:1 hexane/ethyl acetate containing 1% glacial acetic acid. The desired product (demethylhyl-Q2) was retained as a purple compound at the column’s upper portion until the concluding wash, which involved 1% glacial acetic acid. After being exposed to acetic acid, the desired compound’s color shifted from purple to red orange, prompting its subsequent elution from the column. Nuclear magnetic resonance characterization of the yellow-orange oil (110 mg, 20% yield) matched with previously reported data (2): 1H nuclear magnetic resonance (CDCl3, 400 MHz): δ = 6.49 (s, 1H), 5.05 (br., s, 1H), 4.91 (t, 3JH − H = 6.6 Hz, 1H), 4.07 (s, 3H), 3.20 (d, 3JH − H = 7.0 Hz, 2H), 2.06 (m, 2H), 2.04 (s, 3H), 1.97 (m, 2H), 1.74 (s, 3H), 1.65 (s, 3H) and 1.58 (s, 3H) ppm.
APEX2 electron microscopy (MTS-V5-APEX2 and RTN4IP1-V5-APEX2)
To observe the DAB-stained mitochondria in the muscle tissues of MAX-Tg mice, the dissected tissues were fixed with 2.5% glutaraldehyde and 2% paraformaldehyde in 0.1 M cacodylate solution (pH 7.2) for 1 h at 4 °C. After washing, 20 mM glycine solution was used to quench the unreacted aldehyde. DAB staining was performed for approximately 40 min until a light brown stain was visible under a stereomicroscope. DAB-stained tissues were postfixed with 2% osmium tetroxide in distilled water for 60 min at 4 °C, set en bloc in 1% uranyl acetate overnight and dehydrated with a graded acetone series. The samples were then embedded with an Embed-812 embedding kit and polymerized in an oven at 60 °C. The polymerized samples were sectioned (60 nm) with an ultramicrotome (UC7; Leica Microsystems) and the sections were mounted on copper slot grids with a specimen support film. Sections were stained with uranyless and lead citrate and then observed on a Tecnai G2 transmission electron microscope (ThermoFisher).
To visualize the subcellular localization of the transiently expressed RTN4IP1-V5-APEX2, HEK293T cells were cultured in 35-mm glass grid-bottomed culture dishes (MatTek Life Sciences) to 30–40% confluency. The cells were then transfected with RTN4IP1-V5-APEX2 using Lipofectamine 2000. The next day, the cells were fixed with 2.5% glutaraldehyde and 2% paraformaldehyde in 0.1 M cacodylate solution (pH 7.2) for 1 h at 4 °C. After washing, 20 mM glycine solution was used to quench unreacted aldehyde. DAB staining was performed for approximately 20–40 min until a light brown stain was visible under an inverted light microscope. DAB-stained cells were postfixed with 2% osmium tetroxide in distilled water for 30 min at 4 °C and dehydrated with a graded ethanol series. The samples were then embedded with the Embed-812 embedding kit and polymerized in an oven at 60 °C. The polymerized samples were sectioned (60 nm) with an ultramicrotome (UC7; Leica Microsystems), and the sections were mounted on copper slot grids with a specimen support film. Sections were stained with uranyless and lead citrate and then viewed on a Tecnai G2 transmission electron microscope (ThermoFisher).
Electron microscopy of control and Rtn4ip1-KO C2C12 cells
Cells were grown in 35-mm glass-bottomed culture dishes to 50–60% confluency. The cells were then fixed with 2 ml of the fixative solution containing 2% paraformaldehyde and 2.5% of glutaraldehyde diluted in 0.1 M sodium cacodylate buffer. After washing, the cells were postfixed in 2% osmium tetroxide containing 1.5% potassium ferrocyanide for 1 h at 4 °C. The fixed cells were dehydrated using an ethanol series (50, 60, 70, 80, 90 and 100%) for 10 min at each concentration and infiltrated with an embedding medium. After embedment, 60-nm sections were cut horizontally to the plane of the block (UC7; Leica Microsystems) and were mounted on copper slot grids with a specimen support film. The sections were then double stained with uranyless and lead citrate and viewed on a Tecnai G2 transmission electron microscope (ThermoFisher).
Electron microscope imaging of control and RTN4IP1-KD fruit flies
Adult flies were collected directly into the 0.1 M sodium cacodylate buffer (pH 7.2) at 4 °C, followed by careful removal of the legs, head and abdomen using a dissection microscope. Thoraxes were fixed with 2.5% glutaraldehyde and 2% paraformaldehyde in 0.1 M cacodylate solution (pH 7.2) overnight at 4 °C. After washing, the samples were postfixed in 2% osmium tetroxide containing 1.5% potassium ferrocyanide for 1 h at 4 °C. The fixed samples were dehydrated using an acetone series (50, 60, 70, 80, 90 and 100%) for 20 min at each concentration and infiltrated with an embedding medium (EM812). The polymerized samples were sectioned (60 nm) with an ultramicrotome (UC7; Leica Microsystems) and the sections were mounted on copper slot grids with a specimen support film. Sections were stained with uranyless and lead citrate and viewed on a Tecnai G2 transmission electron microscope (ThermoFisher).
Expression plasmids
The genes were incorporated into designated vectors through conventional enzymatic restriction digestion, followed by ligation using T4 DNA ligase. For the creation of constructs containing brief tags (for example, V5 epitope tag) or signal sequences attached to the protein, the respective tag was included within the primers used for PCR amplification of the gene. Subsequently, the PCR products were subjected to digestion with restriction enzymes and then ligated into prepared vectors (that is, pcDNA3, pcDNA5 and pET-21a). Throughout the process, the cytomegalovirus promoter was consistently used for the purpose of expressing the genes in mammalian cells.
Ethical statement
Animal studies were approved by the Institutional Animal Care and Use Committee of Seoul National University. Mice were maintained under a 12-h light-dark cycle in a climate-controlled specific pathogen-free facility in Seoul National University. Standard chow diet and water were provided ad libitum.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41589-023-01452-w.
Supplementary information
Source data
Acknowledgements
This work was supported by the National Research Foundation of Korea (grant nos. NRF-2022R1A2B5B03001658, NRF-2022M3H9A2096199 and NRF-2022M3E5E8081185 to H.W.R.; NRF-2018R1A2A3075389, NRF-2017K1A1A2013124 and 2021R1A2C2007573 to J.M.S.; NRF-2022M3A9I2082294, NRF-2021R1A2C2009336 and NRF-2019M3E5D3073104 to J.S.K.; NRF-2019R1A2C2089484 to K.S.L. and NRF-2022R1C1C2004982 to K.E.K.), Organelle Network Research Center (grant no. NRF-2017R1A5A1015366), Comparative Medicine Disease Research Center (grant no. NRF-2021R1A5A1033157) and the Korea Dementia Research Project through the Korea Dementia Research Center (KDRC), funded by the Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea (grant no. HU20C0326, HU23C0204). H.W.R. was supported by the Samsung Science and Technology Foundation (grant no. SSTF-BA2201-08). J.M.S. was supported by the KRIBB (grant nos. KGM5392212, CRC22011), KAIST (grant no. N11230003) and Korea Evaluation Institute of Industrial Technology (grant no. 1415181231). J.S.K. was supported by the Institute for Basic Science of the Ministry of Science and ICT of Korea (grant no. IBS-R008-D1) and Creative-Pioneering Researchers Program through Seoul National University. K.S.L. and A.K.K. are supported by the KRIBB Research Initiative program. J.Y.M. and M.J. are supported by the Korea Brain Research Institute (KBRI) Basic Research Program funded by the Ministry of Science and ICT (grant nos. 23-BR-04-04 and 23-BR-01-03). Electron microscopy data were acquired at the Brain Research Core Facilities of the KBRI.
Extended data
Author contributions
I.P., K.E.K., J.K., K.S.L., J.S.K., J.M.S. and H.W.R. conceptualized all experiments. I.P. generated the plasmid constructs and performed the cellular experiments. K.E.K. and J.M.S. performed the mouse experiments. A.K.K. and K.S.L. performed the fly experiments. J.K. and J.S.K. performed the LC–MS/MS and LC–PRM experiments. S.B. and K.H.L. performed CoQ extraction and analysis. M.J. and J.Y.M. performed electron microscopy. J.C. performed immunofluorescence imaging of muscle tissues. P.K.M. synthesized DMeQ2. T.M.K., C.K., M.G.K. and C.M.Y. performed additional cellular experiments. K.S.L., J.S.K., J.M.S. and H.W.R. supervised all experiments. I.P., K.E.K., J.K., K.S.L., J.S.K., J.M.S. and H.W.R. wrote the manuscript.
Peer review
Peer review information
Nature Chemical Biology thanks the anonymous reviewers for their contribution to the peer review of this work.
Data availability
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, H.W.R. (rheehw@snu.ac.kr). On reasonable request, unique reagents used in this paper can be provided. The structural information was referred to from the PDB under the following accession numbers: 2VN8 and 1QOR. The coexpression relevance data for RTN4IP1-COQ3 was retrieved from the ARCHS4 database (https://maayanlab.cloud/archs4/) and the DepMap database (https://depmap.org/portal/). Transcriptome data for human organs were acquired from the GTEx portal (https://gtexportal.org/). The MS proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD026793. Source data are provided with this paper.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Isaac Park, Kwang-eun Kim, Jeesoo Kim.
Contributor Information
Kyu-Sun Lee, Email: ekuse74@kribb.re.kr.
Jong-Seo Kim, Email: jongseokim@snu.ac.kr.
Jae Myoung Suh, Email: jmsuh@kaist.ac.kr.
Hyun-Woo Rhee, Email: rheehw@snu.ac.kr.
Extended data
is available for this paper at 10.1038/s41589-023-01452-w.
Supplementary information
The online version contains supplementary material available at 10.1038/s41589-023-01452-w.
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Supplementary Materials
Data Availability Statement
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, H.W.R. (rheehw@snu.ac.kr). On reasonable request, unique reagents used in this paper can be provided. The structural information was referred to from the PDB under the following accession numbers: 2VN8 and 1QOR. The coexpression relevance data for RTN4IP1-COQ3 was retrieved from the ARCHS4 database (https://maayanlab.cloud/archs4/) and the DepMap database (https://depmap.org/portal/). Transcriptome data for human organs were acquired from the GTEx portal (https://gtexportal.org/). The MS proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD026793. Source data are provided with this paper.