ABSTRACT
PINK1, mutated in familial forms of Parkinson’s disease, initiates mitophagy following mitochondrial depolarization. However, it is difficult to monitor this pathway physiologically in mice as loss of PINK1 does not alter basal mitophagy levels in most tissues. To further characterize this pathway in vivo, we used mito-QC mice in which loss of PINK1 was combined with the mitochondrial-associated POLGD257A mutation. We focused on skeletal muscle as gene expression data indicates that this tissue has the highest PINK1 levels. We found that loss of PINK1 in oxidative hindlimb muscle significantly reduced mitophagy. Of interest, the presence of the POLGD257A mutation, while having a minor effect in most tissues, restored levels of muscle mitophagy caused by the loss of PINK1. Although our observations highlight that multiple mitophagy pathways operate within a single tissue, we identify skeletal muscle as a tissue of choice for the study of PINK1-dependant mitophagy under basal conditions.
Introduction
Mutations of PTEN induced kinase 1 (PINK1/PARK6) result in the development of autosomal recessive forms of early-onset Parkinson´s disease (PD) [Citation1]. PD is among the most common neurodegenerative disorders in the world and is characterized by the selective degeneration of dopaminergic (DA) neurons within the substantia nigra pars compacta (SNpc). However, the exact mechanisms leading to this event remain elusive. Mounting evidence suggests that dysregulated mitophagy (the autophagy of mitochondria) could play a central role in the etiology of PD [Citation2]. Most of what we know about the regulation of mitophagy comes from the extensive in vitro study of the PINK1/Parkin (PARK2) pathway. PINK1 is stabilized and activated upon mitochondrial stress and phosphorylates both ubiquitin and Parkin at their respective Ser65 residues [Citation3–6]. This leads to a feed-forward mechanism of ubiquitylation of outer mitochondrial membrane (OMM) proteins that results in recruitment of the autophagy machinery, engulfment into autophagosomes and concomitant degradation and recycling in lysosomes. Elucidation of this mechanism has necessitated the use of somewhat artificial conditions in cell lines using protein overexpression and mitochondrial toxicants [Citation7,Citation8], though more physiological approaches are being taken such as mild oxidative stress in primary cultures of hippocampal neurons [Citation9]. Given this, the physiological relevance of this pathway in tissues is still somewhat enigmatic [Citation10].
We previously reported, using the mito-QC mouse model, that PINK1 and Parkin do not significantly impact basal mitophagy in several tissues, including in PD related neuronal types [Citation11,Citation12]. This result is consistent with observations from other model organisms, including Drosophila [Citation13] and zebrafish [Citation14] and was key in showing that under basal conditions other mitophagy pathways operate in tissues. Given the nature of the PINK1 pathway, as revealed from the in vitro studies mentioned earlier, it is likely that it requires distinct, as yet unknown, stressors to become dominant in vivo. Given this, it would be advantageous to identify tissues and conditions where complete flux through the PINK1-dependent mitophagy pathway could be monitored, as this would not only shed insights into how PINK1-dependent mitophagy could go awry in PD, but also provide a setting whereby novel therapeutic approaches could be easily tested in a physiological setting to determine engagement of this mitophagy pathway. In this endeavor, we took two approaches based on our previously well characterized mito-QC reporter system and mouse model [Citation11,Citation12,Citation15–19]. The mito-QC reporter mouse constitutively expresses an mCherry-GFP tag fused to the OMM. Under normal conditions the mitochondrial network fluoresces both red and green but upon mitophagy, where a mitochondrion is delivered to the lysosome, the acidic microenvironment quenches the GFP fluorescence, but not mCherry. Hence, the proportion of mitophagy within a specific tissue or cell type can accurately be determined by measuring the proportion and size of mCherry-only puncta (mitolysosomes). The specificity of the mito-QC reporter has been extensively validated, both in vitro and in vivo [Citation15–19]. Firstly, we crossed PINK1 knockout (PINK1KO) mito-QC mice with mutator mice. The mutator mice (POLGD257A) are a commonly used model for mitochondrial dysfunction as they display a mutation in the proofreading exonuclease domain of the DNA polymerase γ gene, leading to the accumulation of mitochondrial DNA mutations [Citation20,Citation21]. Consequently, these mice undergo premature aging, have a reduced lifespan and display sarcopenia and cardiomyopathy [Citation22,Citation23]. Importantly, loss of Parkin has been shown to synergize with mitochondrial dysfunction present in mutator mice resulting in increased DA neuron cell death in the SNpc [21]. Secondly, we reasoned that PINK1-dependent mitophagy will most likely be detectible in tissues where PINK1 expression is the highest. Based on analysis of the Genotype-Tissue Expression project (https://www.gtexportal.org) we focused on skeletal muscle. We observed an effect of PINK1 ablation on mitochondrial content and on basal mitophagy levels in skeletal muscles, with a gradient-like effect of reduced mitophagy dependent on the known oxidative status of distinct muscle fiber types. Of interest, while the mutator mice displayed a global loss of oxidative fibers, the presence of the POLGD257A mutation resulted in restoration of mitophagy in PINK1-null muscles to levels comparable with the wild-type control group. Our results provide strong evidence for PINK1 in contributing to skeletal muscle mitophagy and highlight an existing compensatory mechanism(s) in response to additional mitochondrial stress.
Results
Mitochondrial homeostasis is disrupted in POLGD257A and PINK1 skeletal muscles
We bred and analyzed 6-month-old mice that were either homozygous for the POLGD257A mutation, PINK1KO, or a combination of both. All mice were homozygous for the mito-QC reporter. As it has been previously noted [Citation21,Citation24], the presence of the POLGD257A mutation resulted in lower body weight (Figure S1A). We also confirmed loss of PINK1 in immunoprecipitates from whole brain lysates (Figure S1B). To identify tissues that express high levels of PINK1, which are more likely to display effects on mitophagy under basal conditions, we analyzed RNAseq data generated by the Genotype-Tissue Expression (GTEx) project. This resource contains human gene expression data in 54 tissue sites from 948 individuals. Searching the database for PINK1, as well as PRKN, TBK1, OPTN and SQSTM1 (all genes coding for proteins known to operate in this pathway [Citation25]) revealed that these genes had the highest mRNA expression levels overall in skeletal muscle (). We therefore focused our efforts on this tissue. We examined three types of hindlimb skeletal muscles, based on their well characterized mitochondrial content and metabolic phenotype (glycolytic vs. oxidative). We compared phenotypes in the low oxidative/ high glycolytic part of the gastrocnemius muscle, known as the white gastrocnemius (WGC), with the high oxidative/low glycolytic red and mixed gastrocnemius and plantaris, termed red/mixed calf muscles (RCM). We also examined the highly oxidative hindlimb soleus muscle (SOL). We therefore had means to compare mitophagy in glycolytic versus oxidate muscle fibers. Overall, no significant differences in muscle weight were found between all the genotype groups for both the total gastrocnemius and plantaris, and for the soleus (). However, when sub-dissecting the gastrocnemius and plantaris into their white and red/mixed regions, we noticed a significant difference in their relative proportions in POLGD257A mutant mice. We measured the respective weights of these muscle regions and observed a higher mass for the WGC in the POLGD257A groups, suggesting a potential loss of oxidative fibers compared to the control group in the whole muscle ( compared with D&E). To confirm this apparent expansion of WGC at the expense of RCM, we visualized cross-sections through whole calf muscles and measured the proportional area of the WGC and of the RCM, based on the relative expression of the mito-QC reporter. Representative images of the muscle groups from mito-QC mice are shown in , which clearly demonstrates the oxidative nature of the soleus as evidence by increasing mitochondrial content (visualized indirectly by the GFP channel of the mito-QC reporter). Confirming our macroscopic observations, these data revealed a loss of the proportion of oxidative fibers in the gastrocnemius of POLGD257A mice ().
Regardless of the change of WGC to RCM ratios in POLGD257A mice, we next analyzed mitochondrial content within these areas based on the expression of the mito-QC reporter (Figure S1C), and on protein expression (). In general, mitochondrial proteins such as HSP60, MNF2 and COXIV were present at a higher level in PINK1KO tissue, with this increase more pronounced in the oxidative RCM tissues. POLGD257A also caused changes in the mitochondrial proteins, but with the exception of COX IV, the changes were different depending on protein and tissue areas analyzed (). This implies complex regulation, which requires more work to understand. COX IV levels were dramatically reduced in the background of the POLGD257A mutation (regardless of PINK1 status). This phenomenon was more pronounced in WGC and has previously been described in the quadriceps [Citation23,Citation26].
The increase in mitochondrial proteins in the PINK1KO animals is indicative of either enhanced mitochondrial biogenesis or reduced mitophagy. For the former, we blotted for the mitochondrial transcription factor TFAm (). This protein is the master regulator of mitochondrial biogenesis as it controls mtDNA copy number and coordinates the expression of both nuclear and mitochondrial genomes [Citation27,Citation28]. TFAm levels were statistically unaffected, suggesting mitochondrial biogenesis is not responsible for the increase in mitochondrial markers, at least at this time point.
Basal mitophagy is particularly impaired in PINK1 KO oxidative skeletal muscles
The above data suggests that mitophagy may be impaired in the PINK1KO muscles and to determine if this was indeed the case, we used our mito-QC reporter to evaluate basal mitophagy levels in the WGC, RCM and in the soleus (, and Figure S2A). In all these muscle types, basal levels of mitophagy were detectable (red puncta only, detectable in all tissue). We observed that PINK1KO moderately decreased mitophagy levels in WGC, but this effect was more pronounced in RCM and significant in the highly oxidative soleus. The presence of the POLG mutation only had a mild effect, with a subtle increase in mitophagy noted across all the samples compared to WT. However, there was a strong interaction effect between PINK1KO and POLGD257A mutations, as the double mutants displayed basal mitophagy levels similar to the WT group. The apparent rescue of the PINK1KO mitophagy defect suggests that an independent mitophagy mechanism is upregulated upon the combined loss of PINK1 and POLG mutation. The BNIP3L/NIX pathway operates independently of PINK1 and Parkin [Citation29] and has also been shown to compensate for loss of Parkin [Citation30]. Consistent with a role for NIX and BNIP3 in enhancing mitophagy, we found significantly increased protein levels in the RCM of the double mutant (). It is also noteworthy that loss of PINK1 alone in the RCM is sufficient to enhance NIX and BNIP3 levels, yet the levels here are lower than the double mutant and appear to be insufficient to rescue mitophagy. This implies that the extra stress caused by the presence of the POLGD257A mutation is needed for the rescue in mitophagy levels. Our results in skeletal muscles demonstrate that PINK1 ablation impairs basal mitophagy especially in the highly oxidative muscle, and that POLG mutation moderately increased in mitophagy independently of PINK1.
Mitophagy in DA neurons
We had previously found little effect for PINK1 on basal mitophagy in other tissues [11], we wished to confirm that this was indeed the case in other tissues of the PINK1KO-POLGD257A animals. Given that PD is a neurodegenerative disorder, characterized by a loss in SNpc DA neurons, and that DA neuron loss had been previously seen in older POLGD257A mice where Parkin had been ablated [21], we focused on this area (Figure S2B-E). Firstly, we analyzed RNAseq data in the brain generated by the Genotype-Tissue Expression (GTEx) project. Despite PINK1 being relatively highly expressed in the substantia nigra, the rest of the pathway was not very highly expressed (Figure S2B) in comparison to our observations in skeletal muscles. At this age we noted no obvious reduction in tyrosine hydroxylase positive DA neuron numbers (Figure S2C & D). Unlike in skeletal muscles, and as previously observed, loss of PINK1 did not significantly affect basal mitophagy levels in these neurons, as quantified using the mito-QC reporter (Figure S2C & E). Additionally, there was a small but significant increase in mitophagy in mice harboring the POLGD257A mutation, regardless of the PINK1 status. This suggests that in the mutator background, mitochondrial stress is increased, which is sufficient to mildly induce mitophagy. As with muscle, this is independent of PINK1.
Discussion
Using genetics, we investigated the effects of PINK1 ablation on skeletal muscle mitophagy in mice of six months of age. We found that PINK1KO decreased mitophagy levels in skeletal muscles, particularly in the oxidative ones, suggesting this pathway is active within this tissue type under basal conditions. Interestingly, the presence of the POLG mutation only resulted in a moderate increase in mitophagy and any observed effects were independent of PINK1. Previously published work had shown increased DA neurodegeneration in mutator mice that lacked Parkin [21], suggesting that impaired PINK1/Parkin-dependent mitophagy could be responsible. While this conclusion may be at odds with our observations, we do note that animals here were much younger (6 months) compared to the previously published work (12 months), where the onset of the accelerated aging phenotype starts to manifest. It is therefore possible that the level of mitochondrial stress, caused by the POLGD257A mutation, is below the “threshold” for PINK1 activation. It is also likely that tissues accumulate mutations at different rates with the POLGD257A mutation and could possibly contribute to the heterogeneity of effects encountered in different organs. However, two recent publications have also failed to identify a neurodegenerative phenotype when the PINK1/Parkin pathway is lost in the background of the mutator mouse [Citation31,Citation32]. More work is obviously needed to determine the interaction of these pathways.
Regardless, we now show that PINK1 does have an impact on mitochondrial homeostasis and basal levels of mitophagy in skeletal muscles, in particular in the oxidative soleus. Basal mitophagy corresponds to the minimal levels of mitophagy measured under normal cell activity, which is likely essential to maintain fundamental cellular activities. Different tissues will have different levels of basal mitophagy. Despite being closely related (skeletal muscle fiber types), we saw that the highly oxidative skeletal muscles of WT mice displayed a higher proportion of basal mitophagy compared to their glycolytic counterpart. In the present article, we compared three hindlimb skeletal muscles that present diverse morphological and functional properties. The white gastrocnemius (WGC) is the most peripheral hindlimb calf skeletal muscle. This muscle is predominantly composed of glycolytic Type IIB fibers (97%) [Citation33]. These rely on glycolysis to produce ATP, and present a low mitochondrial content, which can be easily visualized using the mito-QC reporter, as well as low antioxidant defences. The fibres in this muscle will develop considerable strength but will fatigue rapidly. Our results indicate that this muscle presents the lowest mitophagy levels compared to the RCM and the Soleus. The RCM investigated here is composed of the red gastrocnemius, the mixed gastrocnemius, and the plantaris muscle. These muscles are heterogenous and mostly composed of Type IIA (fast-twitch, both oxidative and glycolytic) and IIB fibers (fast, very glycolytic), but very little Type I fibers (slow-twitch, very oxidative). The soleus is the most medial muscle in the leg. It is the muscle that relies the most on mitochondrial oxidative phosphorylation (compared to the two other ones investigated in the present study). It is predominantly composed of Type I and Type IIA fibers, which are more resistant to fatigue. This muscle presents the highest basal mitophagy levels. We observed an overall alteration of mitophagy levels in these three muscles in PINK1KO mice. However, this effect was particularly pronounced in the oxidative soleus, highlighting the importance of muscle phenotype in the study of the PINK1 pathway. This is akin to mitophagy observations in drosophila flight muscles [Citation34], which are extremely aerobic and display about 30-fold higher respiration rates compared to the muscles of human athletes [Citation35]. The recruitment of other mitophagy pathways in the soleus to compensate the absence of PINK1 also suggests that the regulation of mitochondrial homeostasis is particularly important here. Of note, the skeletal muscle is also the tissue in which PINK1 is proportionally the most highly expressed in humans, which could help explain our observations, given the high degree of pathway conservation.
Mice do not develop PD, and none of the existing models replicate the clinical spectrum of PD in full [Citation36]. In patients, irreversible neuronal dysfunction and cell death appear to precede the appearance of motor symptoms and clinical diagnosis by a decade [Citation37]. Understanding the molecular and cell-specific alterations leading to this disease is therefore vital. Loss of PINK1 or Parkin in rats leads to PD-like symptoms, and it has recently been shown that these animals display an altered laryngeal muscle biology prior to manifesting PD symptoms [Citation38]. This supports our observations about the importance of the PINK1 pathway in rodent skeletal muscles. Interestingly, physical activity has been shown to alleviate symptoms of PD [Citation39,Citation40], hence maintaining skeletal muscle mitochondrial function could be a key factor in the aetiology of PD. It is possible that enhancing muscle and mitochondrial health would decrease peripheral inflammation, which is potentially responsible for a cascade of events leading to PD. However, as we do not know the significance of reduced mitophagy in PINK1KO mouse muscle, or whether this is physiologically relevant to disease pathology, further work is needed. Our results also demonstrated that other mitophagy pathways, such as the BNIP3/NIX pathway, could compensate for the loss of PINK1 in the stressed RCM. The POLGD257A/PINK1KO oxidative muscles displayed higher BNIP3/NIX levels and a mitophagy level comparable to WT muscle. We also cannot rule out that other mitophagy pathways contribute as well. Taken together, this could make determining the overall significance of one pathway in isolation more challenging. Our results highlight the complexity of studying mitophagy in vivo, where compensatory mechanisms may mask the role of certain mitophagy factors. For that reason, we cannot yet exclude that the absence of effect observed in the DA neurons of the SNpc of PINK1KO animals is not due to a compensation from another mitophagy pathway in these cells.
As we can see evidence for impaired mitophagy upon loss of PINK1, this now gives us an opportunity to study the pathway in mammalian tissues, in the absence of overt stresses, for the first time. Not only will this allow an easier way to physiologically validate mechanistic findings from cell line studies, but also facilitate translational preclinical studies designed to target PINK1-dependent mitophagy therapeutically.
Material and methods
RNA-seq data analysis
The data used for the analyses described in this manuscript were obtained from: Xena Browser data hubs [Citation41] including 7433 samples from GTEx (Genotype-Tissue Expression) on 05/09/2023. We retained only tissue types that had a minimum of 20 samples available and applied quality control measures based on the distribution of gene expression for each sample. In the end, a total of 5,851 samples were chosen. Then, we normalized the gene expression data by doing quantile normalization. Codes can be found at: https://github.com/Keviosta/Singh_et_al. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS.
Animals
Experiments were performed on mice genetically altered in which the gene encoding for PTEN induced kinase 1 has been ablated (PINK1KO), and/or carrying the D257A mutation of DNA polymerase subunit gamma (POLGD257A). The mitophagy (mito-QC) reporter mouse model used in this study was generated as previously described [17]. Experiments were performed on 42 adult mice (180 days old) of both genders (n=8–12 per group) all homozygous for the mito-QC reporter.
Animals were housed in sex-matched littermate groups of between two and five animals per cage in neutral temperature environment (21° ± 1°C), with a relative humidity of 55–65%, on a 12:12 hr photoperiod, and were provided food and water ad libitum. All animal studies were ethically reviewed and performed in agreement with the guidelines from Directive 2010/63/EU of the European Parliament on the protection of animals used for scientific purposes, and in accordance with the Animals (Scientific Procedures) Act 1986. All animal studies and breeding were approved by the University of Dundee ethical review committee, and further subjected to approved study plans by the Named Veterinary Surgeon and Compliance Officer and performed under a UK Home Office project license in agreement with the Animal Scientific Procedures Act (ASPA, 1986).
Sample collection
Mice were terminally anesthetised with an intraperitoneal injection of a pentobarbital sodium solution (400 mg/kg, Euthatal, Merial) prepared in PBS (Gibco, 14190–094), then trans-cardially perfused with DPBS (Gibco, 14190–094) to remove blood. Tissues were rapidly harvested and either snap frozen in liquid nitrogen and stored at −80°C for later biochemical analyses or processed by overnight immersion in freshly prepared fixative: 3.7% Paraformaldehyde (Sigma-Aldrich, 441244) 200 mM HEPES, pH=7.00. The next day, fixed tissues were washed three times in DPBS, and immersed in a sucrose 30% (w/v) solution containing 0.04% sodium azide until they sank at the bottom of the tube. Samples were stored at 4°C in the aforementioned sucrose solution until further processing.
Tissue sectioning
Tissues were embedded in an optimal cutting temperature compound matrix (O.C.T., Scigen, 4586), frozen and sectioned with a Leica CM1860UV cryostat using carbon-steel microtome blades (Feather, C35). Twelve microns sections were placed on slides (Leica Surgipath X-tra Adhesive, 3800202), air dried, and then kept at −80°C in a slide box containing a silica gel packet (Sigma-Aldrich, S8394) until further processing. Sections were thawed at room temperature and washed three times for 5 minutes in DPBS (Gibco, 14190–094). Sections were then counterstained for 5 minutes with Hoechst 33342 (1μg/mL, Thermo Scientific, 62249). Slides were mounted using Vectashield Antifade Mounting Medium (Vector Laboratories, H-1000) and high-precision cover glasses (No. 1.5H, Marienfeld, 0107222) and sealed with transparent nail polish.
Brain free-floating sectioning and immunolabeling
50-µm thick brain free-floating sections were obtained by axial sectioning using a sliding microtome (Leica, SM2010R) equipped with a dry-ice tray (Leica 14050842641). Sections were collected using a round paintbrush, placed in DPBS (Gibco, 14190–094), and stored at 4°C until further use. Free-floating sections were permeabilised using DPBS (Gibco, 14190–094) containing 0.3% Triton X-100 (Sigma Aldrich, T8787) three times for 5 min. Sections were then blocked for 1 hr in blocking solution (DPBS containing 10% goat serum (Sigma Aldrich, G9023), and 0.3% Triton X-100). Overnight primary antibody incubation was performed on a rocker in blocking solution containing the Anti-Tyrosine Hydroxylase (1/1000, Millipore, AB152) antibody. The next day, sections were washed two times for 8 min in DPBS containing 0.3% Triton X100 and then incubated for 1 hr in blocking solution containing the secondary antibody (1/200, Invitrogen P10994 Goat anti-Rabbit IgG (H+L) Cross-Adsorbed Secondary Antibody, Pacific Blue). Sections were then washed two times for 8 min in DPBS and mounted on slides (Leica Surgipath X-tra Adhesive, 3800202) using Vectashield Antifade Mounting Medium (Vector Laboratories, H-1000) and sealed with nail polish.
Confocal microscopy
Confocal micrographs were obtained by uniform random sampling using a Zeiss LSM880 with Airyscan laser scanning confocal microscope (Plan-Apochromat 63x/1.4 Oil DIC M27; Carl Zeiss Immersol immersion oil 518F, 444960-0000-000) using the optimal resolution for acquisition (Nyquist sampling), averaging 4, bit depth 16 bits, and with a pixel dwell of 1.10 µs. 10–15 images were acquired per sample, depending on the tissue, by an experimenter blind to all conditions. High-resolution, representative images were obtained using the Super Resolution mode of the Zeiss LSM880 with Airyscan. Representative images were altered uniformly within the same figure by increasing intensity levels and/or by applying a median filter (half size = 2) to enhance visualisation, using the Icy software [Citation42].
Quantitation of mitophagy
Images were processed with Volocity Software (version 6.3, Perkin-Elmer) as previously described [18]. Briefly, images were first filtered using a fine filter to suppress noise. Tissue was detected by thresholding the Green channel. For the immunolabelings in the brain, dopaminergic neurons of the substantia nigra pars compacta were detected by thresholding the Pacific Blue labelled channel. A ratio image of the Red/Green channels was then created for each image. Mitolysosomes were then detected by thresholding this ratio channel as objects with a high Red/Green ratio value within the tissue/cell population of interest. The same ratio channel threshold was used per organ/set of experiments. To avoid the detection of unspecific high ratio pixels in the areas of low reporter expression, a second threshold of the red channel was applied to these high ratio pixels. This double thresholding method provides the most accurate detection of mitolysosomes as structures with a high Red/Green ratio value and a high Red intensity value.
Preparation of protein lysates and western blotting
Samples were processed from 5 randomly selected animals per group to minimise the effect of interindividual variability. For further consistency, the same animals and loading order were used in all blots from different tissues. Due to a sample issue in the RCM, the PINK1KO/POLGD257A group only contains 4 samples.
Frozen tissue was disrupted with a liquid-nitrogen cooled Cellcrusher (Cellcrusher, Cork, Ireland) tissue pulveriser. Approximately 20–30 mg of pulverised tissue were then lysed on ice for 30 min with (10 µL/mg tissue) of RIPA buffer [50 mM Tris–HCl pH 8, 150 mM NaCl, 1 mM EDTA, 1% NP-40, 1% Na-deoxycholate, 0.1% SDS, and cOmplete protease inhibitor cocktail (Roche, Basel, Switzerland)], phosphatase inhibitor cocktail (1.15 mM sodium molybdate, 4 mM sodium tartrate dihydrate, 10 mM β-glycerophosphoric acid disodium salt pentahydrate, 1 mM sodium fluoride, and 1 mM activated sodium orthovanadate), and 10 mM DTT. All inhibitors and DTT were added immediately prior to use. Crude lysates were vortexed and centrifuged for 10 min at 4°C at 20,817xg. The supernatant was collected, and the protein concentration determined using the Pierce BCA protein assay kit (ThermoFisher Scientific, Waltham, MA, USA). For each sample, 8 µg of protein was separated on a NuPAGE 4–12% Bis-Tris gel (Life technologies, Carlsbad, CA, USA). Proteins were electroblotted to 0.45 µm PVDF membranes (Imobilon-P, Merck Millipore, IPVH00010; or Amersham Hybond, GE Healthcare Life Science, 10600023), and immunodetected using primary antibodies directed against HSP60 rabbit polyclonal (D307) (1/1000, Cell Signalling Technology, #4870S), MFN2 rabbit monoclonal (1/1000, Abcam, ab124773), COX IV rabbit monoclonal (1/1000, Cell Signalling Technology, #4850S), TFAm mouse monoclonal [18G102B2E11] (1/1000, abcam, ab131607), Parkin mouse monoclonal (1/1000, Santa Cruz Biotechnology, sc-32282), BNIP3L/NIX (D4R4B) rabbit monoclonal antibody (1/2000, Cell Signalling Technology, #12396S), and BNIP3 (1/1000, Cell Signalling Technology, #3769S). Protein revelation was performed using HRP-conjugated secondary antibodies, using ECL substrates (Bio-Rad, Clarity, 1705061; or Clarity Max, 1705062), and a ChemiDoc MP (Bio-Rad) imaging system. Image analysis was performed with FIJI [Citation43]. As we were not able to find an appropriate housekeeping gene that did not vary with our experimental conditions in the skeletal muscles, whole lane Ponceau was used for normalization.
PINK1 immunoprecipitation
For immunoprecipitation of endogenous PINK1, 500 μg of whole-brain lysate was incubated overnight at 4°C with 10 μg of PINK1 antibody (S774C; MRC PPU Reagents and Services) coupled to Protein A/G beads (10 μl of beads per reaction; Amintra) as previously reported [11]. The immunoprecipitants were washed three times with lysis buffer containing 150 mM NaCl and eluted by resuspending in 10 μl of 2× LDS sample buffer and incubating at 37°C for 15 min under constant shaking (2000 rpm) followed by the addition of 2.5% (by volume) 2-mercaptoethanol.
Statistics
Data are represented as means ± SEM. Number of subjects are indicated in the respective figure legends. Statistical analyses were performed using a two-way analysis of variance (ANOVA) or three-way ANOVA followed by a Tukey multiple comparison test using GraphPad Prism for Windows 64-bit version 9.5.1 (733) (GraphPad Software, San Diego, California USA). Statistical significance is displayed as * p < 0.05: ** p < 0.01, *** p <0.001, and **** p < 0.0001.
Supplementaty files R1.docx
Download MS Word (1.2 MB)Acknowledgements
We acknowledge Paul Appleton at the Dundee Imaging Facility, Dundee. We would also like to acknowledge Dr Lambert Montava Garriga, and the MRC Genotyping team for their expert technical assistance. The Zeiss LSM880 with Airyscan was supported by the ‘Wellcome Trust Multi-User Equipment Grant’ [208401/Z/17/Z]. This work was funded by grants to IGG from the Medical Research Council, UK (MC_UU_00018/2), and the Michael J. Fox Foundation (MJFF-003029).
Disclosure statement
IGG is a consultant for Mitobridge Inc.
Supplemental data
Supplemental data for this article can be accessed online at https://doi.org/10.1080/27694127.2024.2326402.
Additional information
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