ABSTRACT
Mitochondrial dysfunction is an early, imminent event in neurodegenerative disorders including Parkinson disease (PD) and Alzheimer disease (AD). The enzymatic pair PINK1 and PRKN/Parkin recognize and transiently label damaged mitochondria with ubiquitin (Ub) phosphorylated at Ser65 (p-S65-Ub) as a signal for degradation via the autophagy-lysosome system (mitophagy). Despite its discovery in cell culture several years ago, robust and quantitative detection of altered mitophagy in vivo has remained challenging. Here we developed a sandwich ELISA targeting p-S65-Ub with the goal to assess mitophagy levels in mouse brain and in human clinical and pathological samples. We characterized five total Ub and four p-S65-Ub antibodies by several techniques and found significant differences in their ability to recognize phosphorylated Ub. The most sensitive antibody pair detected recombinant p-S65-Ub chains in the femtomolar to low picomolar range depending on the poly-Ub chain linkage. Importantly, this ELISA was able to assess very low baseline mitophagy levels in unstressed human cells and in brains from wild-type and prkn knockout mice as well as elevated p-S65-Ub levels in autopsied frontal cortex from AD patients vs. control cases. Moreover, the assay allowed detection of p-S65-Ub in blood plasma and was able to discriminate between PINK1 mutation carriers and controls. In summary, we developed a robust and sensitive tool to measure mitophagy levels in cells, tissue, and body fluids. Our data strongly support the idea that the stress-activated PINK1-PRKN mitophagy pathway is constitutively active in mice and humans under unstimulated, physiological and elevated in diseased, pathological conditions.
Abbreviations: Ab: antibody; AD: Alzheimer disease; AP: alkaline phosphatase; CV: coefficient of variation; ECL: electrochemiluminescence; KO: knockout; LoB: Limit of Blank; LoD: Limit of Detection; LoQ: Limit of Quantification; MSD: meso scale discovery; PD: Parkinson disease; p-S65-PRKN: phosphorylated PRKN at serine 65; p-S65-Ub: phosphorylated ubiquitin at serine 65; Std.Dev.: standard deviation; Ub: ubiquitin; WT: wild type
KEYWORDS: Alzheimer disease, autophagy, mitophagy, Parkin, Parkinson disease, PINK1, PRKN, ubiquitin
Introduction
In the management of Parkinson disease (PD) and other neurodegenerative disorders, robust diagnostic and prognostic biomarkers are urgently needed to identify early disease stages before the onset of irreversible neuropathological changes. This includes an estimated loss of 30–50% dopaminergic neurons in the substantia nigra and a loss of 70–80% dopaminergic terminals in the striatum, which are responsible for early symptoms in PD [1–4] Corresponding morphological changes in Alzheimer disease (AD) are brain atrophy that result in mild to moderate cognitive impairment [5]. The identifications of early disease stages in both PD and AD, during which patients may benefit the most from prospective disease-modifying drugs, are most likely missed by the existing diagnostic based on motor or cognitive symptoms [6,7]. While reliable biomarkers of early neurodegenerative stages are currently lacking, a recent liquid chromatography-mass spectrometry study identified multiple abnormal changes in metabolite levels in the plasma of PD patients. Of note, all changes were related to lipid metabolism and mitochondrial function [8].
Mitochondrial dysfunctions as well as impairments of the autophagic-lysosomal degradation systems are indeed amongst the earliest cellular alterations and are detectable years before the deposition of the respective aggregation-prone proteins [9–11]. Loss of function mutations in the PINK1 (PTEN induced kinase 1) and PRKN genes are the most common causes of early-onset PD [12,13]. Functional studies demonstrate that both encoded enzymes together orchestrate a protective mitochondrial quality control [14–22] and thereby also regulate innate and adaptive immunity [23,24]. While the kinase PINK1 is continuously imported into healthy mitochondria and degraded, PINK1 accumulates on the surface of damaged organelles where it phosphorylates a conserved serine 65 residue of both the small modifier ubiquitin (Ub) [25–27] and the E3 Ub ligase PRKN/Parkin [20,28–30]. Both phosphorylations lead to the recruitment and full activation of PRKN. Fully activated PRKN together with PINK1 then decorate mitochondrial outer membrane proteins with phosphorylated Ub (p-S65-Ub) through a feed-forward mechanism [31–33]. Though only transient under normal conditions, this mitophagy tag significantly increases with stress, age, and disease and as such is a pathophysiological relevant marker [34–36].
Here we developed a meso-scale discovery (MSD)-based sandwich ELISA to measure p-S65-Ub with the goal to assess both baseline and diseased mitophagy levels from clinical and pathological human specimens. It is of note that while PINK1-PRKN-mediated mitophagy is well established under cell culture conditions using high concentrations of non-physiological mitochondrial depolarizers, the extent of activation and mitochondrial turnover in vivo under non-diseased, unstimulated conditions as well as under pathological conditions and particularly in mice are still controversial [37]. Importantly, changes in the mitophagy marker p-S65-Ub are dynamic in nature and levels may be elevated due to either increased mitochondrial stress and/or impaired mitochondrial turnover through the autophagic-lysosomal system. Abnormal p-S65-Ub levels could indicate or complement existing criteria for early diagnosis of PD or AD and may also serve as a prognostic marker in different neuropathological diseases. Besides its relevance as a potential biomarker, monitoring of p-S65-Ub levels might also be utilized to measure pharmacodynamics in response to future therapeutics aiming to restore mitophagy flux.
Results
Western blot assessment of total Ub, p-S65-Ub, and p-S65-PRKN
To evaluate specificities of different antibodies (Abs), we first tested recombinant Ub and p-S65-Ub monomers and tetramers (Ub4) with different chain linkages in western blots. We chose K48 and K63 linked poly-Ub chains that are amongst the most abundant signals during mitophagy as well as linear, M1-linked chains as additional controls [38]. Fourfold molar excess of Ub over Ub4 was used to compensate for additional epitopes in the tetramers over the monomers. The four rabbit p-S65-Ub Abs #A-D (Table 1) tested showed high specificity for phosphorylated versus non-phosphorylated Ub species (Figure 1A). Quantification of detected signals on western blots after normalization to the corresponding silver stained proteins revealed the following affinities toward p-S65-Ub species: K48-linked p-S65-Ub4 > M1-linked p-S65-Ub4 > K63-linked p-S65-Ub4 > p-S65-Ub monomers. All four p-S65-Ub Abs clustered tightly for each linkage-specific p-S65-Ub4 with more diversity amongst their ability to target p-S65-Ub monomers. Of the four Abs tested, only p-S65-Ub Ab B cross reacted with recombinant p-S65-PRKN protein with intensity levels similar to those obtained for M1-linked p-S65-Ub4 (Fig. S1).
Table 1.
Text identifier | Clone | Dilution WB (Final conc.) |
MSD (Final conc. in μ/ml) |
ICC/IHC (Final conc. in μg/ml) |
Host Species | Company | Catalog No. |
---|---|---|---|---|---|---|---|
p-S65-Ub Ab A | Polyclonal | 1:1,000 (0.24 μg/mL) |
1 | 1.9 /4.7 | Rabbit IgG | CST | 37642 |
p-S65-Ub Ab B | Polyclonal | 1:1,000 (0.51 μg/mL) |
1 | 2.0 /0.77 | Rabbit IgG | Springer-lab | in house Ab |
p-S65-Ub Ab C | Polyclonal | 1:1,000 (0.5 μg/mL) |
1 | 2.0 /10 | Rabbit IgG | Millipore | ABS1513 |
p-S65-Ub Ab D | E2J6T | 1:1,000 (0.1 μg/mL) |
1 | 0.08 /0.4 | Rabbit IgG | CST | 62802 |
Ub Ab 1 | 1D7B2 | 1:1,000 (0.65 μg/mL) |
1 | – - | Mouse IgG1 | Proteintech Group | 60310-1-01 g |
Ub Ab 2 | P4D1 | 1:1,000 (0.2 μg/mL) |
0.2, 1, 5 μg/ml | – - | Mouse IgG1 | Santa Cruz | sc-8017 |
Ub Ab 3 | UBI-1 | 1:1,000 (1 μg/mL) |
1 μg/ml | – - | Mouse IgG1 | Millipore | MAB1510 |
Ub Ab 4 | VU-1 | 1:1,000 (0.5 μg/mL) |
1 μg/ml | – - | Mouse IgG1 | Life Sensors | VU-101 |
Ub Ab 5 | FK2 | 1:1,000 (1 μg/mL) |
1 μg/ml | – - | Mouse IgG1 | Millipore | 04–263 |
K48-Ub Ab | D9D5 | 1:1,000 | – - | – - | Rabbit IgG | CST | 8081 |
K63-Ub Ab | D7A11 | 1:1,000 | – - | – - | Rabbit IgG | CST | 5621 |
p-S65-PRKN | polyclonal | 1:5,000 | – - | – - | Rabbit IgG | Muqit-lab | – – |
PRKN Ab | Prk8 | 1:2,000 | – - | – - | Mouse IgG1 | CST | 4211 |
PINK1 Ab | D8G3 | 1:1,000 | – - | – - | Rabbit IgG | CST | 6946 |
GAPDH Ab | – - | 1:400,000 | – - | – - | Mouse IgG1 | Meridian | H86504M |
Anti-mouse IgG, HRP-linked |
Secondary Ab | 1:10,000 | – - | – - | Donkey IgG | Jackson IR | 715–035-150 |
Anti-rabbit IgG, HRP-linked |
Secondary Ab | 1:10,000 | – - | – - | Donkey IgG | Jackson IR | 711–035-152 |
WB: western blot; MSD: Meso Scale Discovery; ICC: immunocytochemistry; IHC: immunohistochemistry; CST: Cell Signaling Technology; Jackson IR: Jackson ImmunoResearch Laboratories, Inc.; Santa Cruz: Santa Cruz Biotechnology
In contrast to p-S65-Ub Abs, the five mouse total Ub Abs #1-5 (Table 1) generally detected non-phosphorylated Ub similarly to phosphorylated Ub, with the exception of Ub Ab 5, which exclusively recognized non-phosphorylated Ub4 (Figure 1B). There was a preference of all five total Ub Abs to recognize K63-linked chains over M1- and K48-linked Ub4 or Ub monomers. Comparing the different total Ub Abs with each other revealed the highest signal intensity per area for Ub Ab 2 > Ub Ab 1 > Ub Ab 3 > Ub Ab 4 > Ub Ab 5. In summary, western blot assessment of Abs targeting p-S65-Ub and total Ub species revealed binding preferences for specific Ub chain linkages as well as molecule size (Ub monomers vs. tetramers).
Validation of the p-S65-Ub Abs specificity in cells and tissue
To further confirm the specificity of the p-S65-Ub signal from cells and tissue, we next validated the p-S65-Ub Abs by additional, visual methods. First, human control skin fibroblasts were treated with or without valinomycin, labeled with p-S65-Ub Abs A-D, and processed for high content imaging (Figure 2A). For each of the Abs, we selected concentrations to sufficiently label intracellular pools of phosphorylated Ub upon mitochondrial depolarization. Only very weak background signal was detected in untreated cells confirming the specificity. As for p-S65-Ub Ab D, a 25-fold lower final Ab concentration compared to p-S65-Ub Abs A-C (0.08 μg/ml compared to ~2 μg/ml) already achieved strong staining by immunocytochemistry. Quantification of cytoplasmic fluorescent signal with high content imaging confirmed that p-S65-Ub Ab D showed 10 times higher signal compared to p-S65-Ub Ab A with the overall intensity following the order: p-S65-Ub Ab D > p-S65-Ub Ab A > p-S65-Ub Ab B and p-S65-Ub Ab C (Figure 2B).
In analogy to staining of fibroblasts in culture by immunocytochemistry, we assessed p-S65-Ub labeling in human autopsy brain (Figure 2C). Hippocampal sections were stained with p-S65-Ub Abs A-D followed by diaminobenzidine and nuclear hematoxylin counterstaining. This revealed small round, cytoplasmic structures similar to the previously reported, granular p-S65-Ub morphologies [34,36,39]. Comparable staining intensities were achieved when different dilutions were used for the four p-S65-Ub Abs. Taken together, while the four p-S65-Ub antibodies appear to have different affinities in immunostaining they detect the same characteristic morphologies upon mitochondrial stress in cells and in human disease autopsy brain.
Sandwich ELISA p-S65-Ub assessment using different Ab combinations
Given that the binding preferences for total Ub and p-S65-Ub Abs were rather opposite, predicting the optimal Ab combination to be used in sandwich-type ELISAs was challenging. We therefore tested all four rabbit p-S65-Ub Abs #A-D as capturing agents each combined with five different mouse total Ub Abs #1-5 (Table 1) as detecting tools in sandwich ELISAs for the assessment of p-S65-Ub and ran them on the Meso Scale Discovery (MSD) platform that uses electrochemiluminescence (ECL) as a readout. Analogous to the western blots, we first tested recombinant p-S65-Ub monomers and tetramers with different chain linkages as analyte and used their non-phosphorylated counterparts as negative controls. Identical concentrations rather than equimolar quantities were chosen to compensate for fourfold higher epitope numbers in Ub4 compared to Ub monomers.
Results are shown in individual graphs for each of the four p-S65-Ub Abs (Figure 3A). Target specificity for phosphorylated versus non-phosphorylated Ub species was given. Among different p-S65-Ub species, M1-linked tetramers resulted in highest ECL signal followed by K48- or K63-linked chains, and p-S65-Ub monomers for all Ab combinations used (Figure 3A). ECL signals were about sevenfold higher for p-S65-Ub Ab D compared to p-S65-Ub Ab A, about 50- to 100-fold higher compared to p-S65-Ub Ab B and C. Of the five total Ub Abs used, Ub Ab 2 resulted in highest ECL signal combined with each of the p-S65-Ub Abs and for all p-S65-Ub species tested. Table 2 summarizes the coefficients of variation (CVs) for the different Ab combinations used. As for the different antibody pairs tested the CVs for intraplate variability (averaged for the four recombinant p-S65-Ub species per antibody pair) were excellent for all combinations (Table 2, top row). CVs for interplate variability were at 6% for p-S65-Ub Ab D in combination with total Ub Ab 2, while all other Ab combinations were above 10%.
Table 2.
Coefficients of variation: interplate variation/intraplate variation [%] | |||||
---|---|---|---|---|---|
p-S65-Ub Ab A | p-S65-Ub Ab B | p-S65-Ub Ab C | p-S65-Ub Ab D | ||
1) Different Ab combinations using recombinant protein (all detecting Abs 1 µg/ml) |
Ub Ab 1 Ub Ab 2 Ub Ab 3 Ub Ab 4 Ub Ab 5 |
34.2/4.0 34.6/3.5 38.9/2.5 37.4/1.8 63.6/2.5 |
32.0/1.9 30.7/1.9 42.6/3.2 52.6/1.3 49.7/1.8 |
27.5/2.8 25.2/2.7 32.8/3.9 36.0/3.3 53.7/3.6 |
38.5/5.1 6.0/4.1 47.2/3.2 21.5/3.9 32.1/3.2 |
2) Detecting Ab concentrations (Ub Ab 2; 5.0 µg/ml) | Ub monomers K63 chains K48 chains M1 chains |
38.3/2.5 14.5/3.5 14.8/3.0 13.2/4.0 |
17.8/10.3 37.6/2.4 23.2/1.7 27.7/1.7 |
269.8/1.1 66.5/3.6 3.7/2.6 3.4/5.0 |
11.8/2.5 3.7/0.8 1.1/0.3 1.1/1.0 |
3) HEK293 cells (Ub Ab 2; 5.0 µg/ml) | 5.5/2.1 | ||||
4) Primary fibroblasts (Ub Ab 2; 5.0 µg/ml) | 13.4/3.7 | ||||
5) Mouse brain (Ub Ab 2; 5.0 µg/ml) | 13.7/2.8 | ||||
6) Human brain (Ub Ab 2; 5.0 µg/ml) | 10.2/2.6 | ||||
7) Human plasma (Ub Ab 2; 5.0 µg/ml) | 5.1/4.4 |
We further focused on optimizing total Ub Ab 2 as detection agent by using different Ab concentrations combined with p-S65-Ub Abs A-D (Fig. S2). Increasing detecting Ab concentrations led to an increase in ECL signals and at the same time reduced differences between M1- and K48-linked p-S65-Ub4 species but not between p-S65-Ub tetramers and monomers (for p-S65-Ub Ab D). p-S65-Ub Ab D combined with medium (1 μg/ml) or high (5 μg/ml) concentrations of Ub Ab 2 showed highest ECL signals compared to other p-S65-Ub Abs. Interplate and intraplate CVs were determined for the four p-S65-Ub Abs each combined with total Ub Ab 2 for each of the four p-S65-Ub species tested (Table 2, row 2). Intraplate CVs were generally excellent. Interplate CVs were lowest for p-S65-Ub Ab D compared to p-S65-Ub Abs A-C at 11.8% for p-S65-Ub monomers or below 5% for poly-Ub chains. Overall, our results indicate that based on ECL signal intensity and variability the combination of p-S65-Ub Ab D and total Ub Ab 2 might represent the most promising Ab pair for a reproducible and highly sensitive sandwich ELISA.
Determining the limit of blank, limit of detection, limit of quantification, and linear range for recombinant p-S65-Ub species
We then determined the Limit of Blank (LoB), Limit of Detection (LoD), and Limit of Quantification (LoQ) for the p-S65-Ub Ab D and total Ub Ab 2 combination, according to the EP-17 guidelines of the Clinical and Laboratory Standards Institute [40] and as discussed in Armbruster and Pry (2008) (Table 3) [41]. The LoB was determined as a MSD-ECL value of 251 using the formula LoB = mean blank + 1.645(SD blank) where BSA buffer served as blank. We used serial dilutions of the different recombinant p-S65-Ub analytes (Figure 3B) to calculate the LoD = LoB + 1.645(SD low concentration sample) and to determine the LoQ, which is the lowest concentration of analyte that can be measured with a predefined goal for imprecision of CV under 5% for p-S65-Ub chains and under 10% for p-S65-Ub monomers. The resulting LoD values were quite similar between different pS65-Ub chains with a LoQ in the femto- to picomolar range. The LoD and LoQ of the monomeric p-S65-Ub were higher with the lowest detectable concentration in the nanomolar range (Table 3). Also the range of linearity in our assay differed between p-S65-Ub species used. For p-S65-Ub monomers, the linear range was between 390 pM and 390 nM. The linear range for K63 p-S65-Ub4 was between 9.7 pM and 97 nM and the linear range for both K48 p-S65-Ub4 and M1 p-S65-Ub4 was between 97 fM and 970 pM). In summary, the p-S65-Ub Ab D-total Ub Ab 2 combination detects phosphorylated tetramers in the low femto- to picomolar range and detects p-S65-Ub monomers in the low nanomolar range with excellent reproducibility.
Table 3.
p-S65-Ub antibody | linkage type, mono/tetramer | Limit of Blank (LoB) (MSD-ECL units) |
Limit of Detection (LoD) (MSD-ECL units) |
Limit of Quantification (LoQ) (CV<5%) |
---|---|---|---|---|
p-S65-Ub Ab D | Mono p-S65-Ub | 251 | 326.3 | 330 ng/ml (39 nM) |
K63 p-S65-Ub4 | 251 | 276.6 | 330 pg/ml (9.7 pM) | |
K48 p-S65-Ub4 | 251 | 256.2 | 3.3 pg/ml (97 fM) | |
M1 p-S65-Ub4 | 251 | 266.1 | 330 fg/ml (9.7 fM) |
Cell culture-based p-S65-Ub assessment from HEK293 cells and PD patient fibroblasts
We next attempted to use the optimized sandwich ELISA with p-S65-Ub Ab D and total Ab 2 to measure p-S65-Ub levels in lysates from parental wild type (WT) as well as PRKN or PINK1 knockout (KO) HEK293 cells treated with mitochondrial uncoupling agents compared to vehicle control. Treatment of WT and PRKN KO with CCCP, valinomycin, or oligomycin-antimycin for 24 h resulted in significant increases in p-S65-Ub ECL signal compared to DMSO-treated controls (Figure 4A, top). While WT HEK293 cells showed significantly higher p-S65-Ub ECL signal compared to PRKN KOs for the same treatments, treated PINK1 KOs had only signal at background level (p < 0.0001 for all comparisons). We used alkaline phosphatase (AP)-treated samples as additional negative controls, which resulted in p-S65-Ub levels that were similar to PINK1 KO HEK293 cells irrespective of their treatment. The CVs for p-S65-Ub sandwich ELISAs in HEK293 cells were 5.5% for interplate and 2.1% for intraplate variation. The absence of PINK1 or PRKN in the respective genome-edited HEK293 KO cells was validated by western blot (Figure 4A, bottom). Likewise, increased p-S65-Ub levels were confirmed and were accompanied by elevated PINK1 levels upon treatment with the different mitochondrial stressors.
In addition to mitochondrial stress, we tested whether blocking autophagic-lysosomal degradation in WT cells using bafilomycin A1-treatment would cause a detectable increase in p-S65-Ub levels in our sandwich ELISA, using both PINK1 KO and vehicle-treated WT cells as controls. Importantly, p-S65-Ub levels were significantly increased in bafilomycin A1-treated WT cells compared to DMSO-treated WT cells and to PINK1 KO cells (p < 0.0001 for all comparisons) (Fig. S3). Of note, using this assay we were even able to detect significant differences between DMSO-treated WT and PINK1 KO HEK293 cells (p = 0.0001) in the absence of autophagy inhibitors.
To confirm findings in primary cells from PD patients, we used skin fibroblasts and assessed p-S65-Ub levels in carriers of homozygous PINK1 (p.Q456X) or compound heterozygous PRKN (p.R275W/ΔEx2) mutations relative to healthy controls. Among WT fibroblast samples, the assay showed a significant increase in p-S65-Ub levels over time with valinomycin treatment compared to untreated WT fibroblasts (0 h) (p < 0.0001 for all comparisons) (Figure 4B, top). Similarly, treated PRKN mutant fibroblasts showed an overall significant increase over time compared to untreated cells (0 h), though only at later time points (p < 0.0001 at 8 h and 24 h). Upon stress, PRKN mutant cells had significantly lower p-S65-Ub accumulation compared to WT within individual time points (p < 0.0001 for 4 h and 8 h; p = 0.01 for 24 h), while the signal in PINK1 mutant fibroblasts was similar to buffer blanks. The CVs for p-S65-Ub sandwich ELISAs in human fibroblasts were 13.4% for interplate and 3.7% for intraplate variation. The corresponding pS65-Ub levels in WT control cell and PINK1 or PRKN mutant fibroblast samples were validated by western blot (Figure 4B, bottom).
In summary, the sandwich ELISA was able to distinguish between all three genotypes when comparing WT controls to PINK1 or PRKN mutant cells. Lack of detectable p-S65-Ub signal in PINK1 mutant cells confirmed the specificity of the antibodies. Moreover, the MSD assay was sensitive enough to not only identify reduced p-S65-Ub levels in PRKN mutant cells upon stress, but more importantly, also baseline levels of the mitophagy tag in WT controls in the absence of stress.
P-S65-Ub detection in mouse brains, human autopsy brain samples, and blood plasma
Next, we aimed to measure p-S65-Ub levels with our best antibody pair in mouse hemi brain lysates from a cohort of pink1 KO (n = 19), prkn KO (n = 20), and WT mice (n = 11) under non-stimulated conditions as a proxy for baseline mitophagy levels. Since there was no detectable sex difference (data not shown), the results for male and female mice were combined. p-S65-Ub levels were significantly different between all three groups with highest ECL signals in WT mice followed by prkn KO mice and then pink1 KO mice (Figure 5A). The CVs for the mouse brain analysis using p-S65-Ub Ab D were 13.7% for interplate variation and 2.8% for intraplate variation. Importantly, results demonstrated that our p-S65-Ub MSD assay was able to detect PINK1-PRKN-mediated mitophagy in mouse brains at baseline with significant differences between WT, prkn KO, and pink1 KO mice, similar to the cell culture experiments.
An essential question to be addressed was whether our p-S65-Ub MSD assay is applicable for testing mitophagy changes in human tissue. Therefore, we attempted to assess p-S65-Ub levels in autopsy frontal cortex from age- and sex-matched neurologically normal controls (n = 9) and AD cases (n = 10). Each case was biochemically fractionated into a soluble (RIPA) and insoluble (RIPA+1% SDS) fraction. p-S65-Ub MSD-ECL values were significantly increased in AD cases compared to controls in both soluble and insoluble fractions (Figure 5B). The CVs for the human brain analysis using p-S65-Ub Ab D were 10.2% for interplate variation and 2.6% for either intraplate variation. The CV for interplate variation was averaged and can be subdivided into a CV soluble fraction (5.5%) and a CV insoluble fraction (14.8%), indicating less assay variation in analyzing the soluble compared to the insoluble fraction. A Spearman correlation indicates that soluble and insoluble p-S65-Ub levels are significantly associated with each other (Figure 5C), suggesting that either fraction can be used for this analysis.
Last, we aimed to determine whether p-S65-Ub is present and detectable in human blood plasma. We received freshly collected samples from four related family members with or without a rare loss-of-function mutation in PINK1 [42]. These samples included plasma from all three PINK1 genotypes – WT/WT controls (n = 2), WT/p.Q456X (n = 1) and p.Q456X/p.Q456X (n = 1). Consistent with our previous report [43] and data from fibroblasts included herein, the p-S65-Ub ELISA showed the lowest raw values for the sample from the symptomatic, homozygous p.Q456X carrier compared to the plasma from the unaffected heterozygous and WT controls. While the sample number is certainly too low to statistically analyze the effect, confidence in the detection of p-S65-Ub was strengthened by the finding that 29 additional samples from unrelated controls [44] showed very little spread and every sample had higher p-S65-Ub values than the homozygous PINK1 p.Q456X mutation carrier (Figure 5D). The CVs for interplate (5.1%) and intraplate (4.4%) variation were excellent for blood plasma p-S65-Ub assessment. To further corroborate the presence and detectability of p-S65-Ub in plasma and to estimate the matrix effect, we performed spike-and-recovery experiments. Spike-in of serially diluted recombinant M1 p-S65-Ub4 or non-phosphorylated M1 Ub4 chains into either homozygous PINK1 p.Q456X plasma or control plasma revealed differences even at lowest, identical spiked concentrations between these plasma samples (Figure 5E). Furthermore, non-phosphorylated M1 Ub4 was not detected in plasma using our p-S65-Ub ELISA even when spiked in at high nanomolar concentrations (Figure 5E), confirming that the assay does not cross-react with non-phosphorylated Ub present in plasma. The LoB in plasma was determined as 85 MSD-ECL units, and the LoD for M1 pS65-Ub4 was 88.1 MSD-ECL units. The LoQ for M1 pS65-Ub4 was calculated as 100 fg/ml (2.9 fM). The CVs for p-S65-Ub spike-and-recovery experiments into plasma were 8.5% for interplate and 2.3% for intraplate variation.
In summary, results from human specimens demonstrated that p-S65-Ub levels are not only detectable in postmortem frontal cortex by sandwich ELISA, but are significantly different in both soluble and insoluble fractions in AD vs. control. Together with our immunohistochemical findings this strongly underscores the involvement of aberrant mitophagy flux in neurodegenerative diseases such as AD. Moreover, p-S65-Ub is detectable in human blood plasma with our MSD assay and should be explored as a disease marker in further clinical samples.
Discussion
Here we developed a novel protocol and established a highly sensitive method to measure p-S65-Ub as a readout for PINK1- and PRKN-dependent mitophagy by sandwich ELISA on a MSD platform. For this, we screened and validated several antibodies using recombinant proteins, genome-edited and primary patient cells, mouse and human autopsy brain tissues as well as human plasma samples. We corroborated the selectivity and specificity of the various Abs and combinations thereof in different applications and using multiple controls. In contrast to immunostaining of cells or tissues or other biochemical readouts like western blot, the MSD assay was able to detect even extremely low p-S65-Ub levels that occur at baseline in unstressed human cells and mouse brain tissues. Noteworthy, the assay is sensitive enough to discriminate between samples of all three genotypes in human cells and mouse brain (WT controls vs. loss of PINK1 or PRKN function), to differentiate pathological conditions in human autopsy brain tissue (neurologically normal controls vs. AD), and even to detect p-S65-Ub in human blood.
First, we set out to characterize the various Abs against phosphorylated (p-S65) or total Ub in vitro using recombinant monomeric and poly-Ub chains of defined concentrations, lengths, and linkages. p-S65-Ub tetramers were generally detected with at least >150-fold higher ECL signal intensity compared to a 4-fold molar excess of p-S65-Ub monomers. This is likely caused by steric hindrance between two large Abs (~150 kDa) targeting a single, small Ub unit (8.6 kDa) in a sandwich-type format. In contrast, in a Ub chain, such as the tetramer, both antibodies might bind to different moieties and therefore result in increased sensitivity. However, we also detected stark differences when comparing poly-Ub chains of different linkage types. This may be caused by the close proximity of serine 65 and the branching lysine residue (e.g. K63) or by overlapping epitopes of Abs targeting phosphorylated or total Ub. Alternatively, this may also relate to p-S65-Ub adopting a so-called “invisible conformation” through retraction of the C-terminal tail [45]. In a poly-Ub chain, this would likely result in a different overall topology that could also affect recognition by some of the Abs. While it is of note that all Ub Abs tested targeted their antigens dependent on chain length and linkage, our screening on both western blot and MSD resulted in the identification of an Ab pair that detects phosphorylated Ub monomers in the low nanomolar range and Ub tetramers in the low femto- to picomolar range with excellent reproducibility.
Second, as biological samples, we used CRISPR-Cas9 genome-edited cells in which we had deleted PINK1 or PRKN as well as primary skin fibroblasts obtained from PD patients carrying loss-of-function mutations in either gene. While almost any Ab and method was able to detect the very high levels of p-S65-Ub upon mitochondrial depolarization, only our new MSD assay captured the extremely low baseline levels in WT cells. In addition, p-S65-Ub levels were slightly elevated upon inhibition of lysosome function, which leads to the accumulation of p-S65-Ub that otherwise would have already been turned over (at the time of the experiment). The delta in p-S65-Ub levels when comparing WT controls side-by-side with cells with loss of PINK1 function or dephosphorylated samples likely reflects the basal cellular PINK1-PRKN-dependent mitophagy rates. However, upon mitochondrial damage, the MSD assay was also able to discriminate between WT controls and cells with loss of PRKN function, which is activated and recruited by p-S65-Ub upon stress and then swiftly amplifies the mitophagy signal. Given this feedforward loop between the Ub kinase PINK1 and the Ub ligase PRKN, our p-S65-Ub MSD assay can be used as a readout for either enzymatic function.
Third, we investigated p-S65-Ub levels in mouse hemibrain lysates as more complex biological samples. It is noteworthy that neither pink1 nor prkn KO mice present overt neurodegenerative phenotypes [46–49], at least not under basal conditions. Old age, exhaustive exercise, high-fat diet, exposure to pathogens and toxins or other disease conditions may challenge animals sufficiently to trigger the wider activation of the PINK1-PRKN mitophagy pathway and as such may reveal phenotypes of such sensitized genetic background [47,50–52]. While immunohistochemistry was not sensitive enough to detect p-S65-Ub in mouse brain at unstimulated conditions, the MSD assay was able to capture signal in these samples. Perhaps even more striking, the p-S65-Ub ELISA allowed discrimination between all three genotypes – WT controls, pink1 KO and prkn KO. This is in contrast to cells in culture, where additional exogenous mitochondrial stress was required to reveal significantly different p-S65-Ub levels in WT controls compared to cells with loss of PRKN function. Importantly, a recent report suggested that very old prkn KO mice (>110 weeks of age) start to show PD-like symptoms resulting from dopaminergic neuron death that is related to mitophagy defects [50]. However, using our p-S65-Ub MSD assay we here identify a much earlier detectable “biochemical defect” in a relatively young cohort of mice (mean ages between 15–33 weeks).
Fourth, we tested the ability of our MSD assay to quantify p-S65-Ub in human pathological and clinical samples. Toward this, we used autopsy brain material isolated from frontal cortex of AD patients and neurologically normal cases. The sandwich ELISA was able to discriminate between diseased and control samples and detected significantly increased levels of p-S65-Ub in both the soluble and insoluble fraction of AD frontal cortex. We previously had used immunohistochemistry to identify changes in p-S65-Ub levels in autopsy brain with increased age or Lewy body disease and more recently also in AD brain tissue [34–36,53]. As expected based on our data using immunohistochemistry, p-S65-Ub levels were elevated over neurologically normal controls in both sporadic forms of AD and Lewy body disease, which is indicative of an increased pool of dysfunctional mitochondria and/or impaired autophagic flux. This is in contrast to the sharp decrease in p-S65-Ub that is expected and observed in cell and autopsy brain tissue from rare cases with pathogenic PRKN or PINK1 loss-of-function mutations [34,36,43,54], which inhibit or even abrogate the initiation of mitophagy. While it remains to be determined why exactly p-S65-Ub levels are increased in cases with sporadic disease, efforts are underway assessing the levels of the mitophagy tag in the context of different neuropathologies across a spectrum of diseases. In contrast to the fairly high levels in human autopsy brain, in plasma our MSD assay picked up very low p-S65-Ub signals in samples from controls that however were consistently higher than the signal measured in a homozygous loss-of-function PINK1 plasma sample. Given its cellular origin, p-S65-Ub is either actively secreted, passively diffuses, or is released as the result of cell death and ultimately presents extracellularly in the plasma. Although we currently do not know the exact source, plasma concentrations of non-phosphorylated Ub have been found elevated in various diseases in the high picomolar to nanomolar range [55–58]. Here we show that p-S65-Ub is present and detectable and estimate that the absolute amount of in plasma as detected in our ELISA is in the femtomolar range. While it remains uncertain whether p-S65-Ub levels can be used as a diagnostic or prognostic disease marker in blood, given the sensitivity of the MSD assay, it should at least be possible to discriminate true loss-of-function PINK1 or PRKN patients from subjects harboring single heterozygous mutations or more ambiguous variants of unknown significance.
Though highly sensitive, one important limitation of our p-S65-Ub MSD assay is the current inability to absolutely quantify the mitophagy tag. Given the uncertain composition of the p-S65-Ub signal in biological specimens with potentially mixtures of poly-Ub chains of different lengths and linkages, it is simply not possible to determine absolute quantities. However, we determined the respective LoD and LoQ in human plasma and blocking buffer as well as the linear range using recombinant Ub species to approximate the values for complex biological samples. A few recent reports collectively suggest that the majority of the Ub signal on mitochondria may stem from mono-ubiquitination of substrate proteins or short poly-Ub chains and that only the most distal Ub in a chain might be phosphorylated at serine 65 [59–61]. Regardless, also technical advances in the field may help untangle this complexity going forward. For instance, an additional processing step with a deubiquitinating enzyme to cleave Ub off substrate proteins and to digest more complex chains into Ub monomers may facilitate absolute quantification of p-S65-Ub. While we found that detection of monomeric p-S65-Ub was less sensitive in the current sandwich ELISA, future nanobodies or other smaller, recombinant binders may allow targeting individual p-S65-Ub moieties with high sensitivity.
In the meantime, relative quantification as done herein, requires establishing the baseline levels of p-S65-Ub by comparing WT controls side-by-side with PINK1 deficient or dephosphorylated samples. While this might be less important for extreme stress conditions in cells or certain pathological samples, this will be key in specimens with low p-S65-Ub such as physiological conditions or in clinical samples such as human blood. It is important to note that p-S65-Ub is a transient, dynamic marker and this might contribute to its low levels at baseline. While p-S65-Ub acts as an allosteric activator of and receptor for PRKN it also serves as the mitophagy tag and as such is turned over with removal of damaged mitochondria. Anything below that baseline is likely due to reduced expression or impaired PINK1 and/or PRKN activity while higher levels are due to either increased mitochondrial stress and/or decreased autophagic flux as seen with stress, age, and disease. Regardless, both are indicative of altered mitophagy. As such, levels of the mitophagy tag p-S65-Ub are an early, robust indicator of damage and should be further explored as a potential disease and pharmacodynamics biomarker.
Materials and methods
Ethics approval
All brain samples are from autopsies performed after approval by the legal next-of-kin. Research on de-identified postmortem brain tissue is considered exempt from human subjects’ regulations by the Mayo Clinic Institutional Review Board. Human blood plasma and primary dermal fibroblast collection, processing, and analyses were approved by the Institutional Review Boards of Mayo Clinic and the Katowice Medical University of Silesia, Katowice, Poland. All procedures involving animals were in accordance with the ethical standards established by Mayo Clinic and approved by the Institutional Animal Care and Use Committee at University of Alabama.
Recombinant proteins
All used recombinant protein were purchased from Boston Biochem: Ub monomer (U100H), p-S65-Ub monomer (U-102), K48 Ub4 (UC-210b), K48 p-S65-Ub4 (UC-250), K63 Ub4 (UC-310b), K63 p-S65-Ub4 (UC-350), M1 Ub4 (UC-710b), M1 p-S65-Ub4 (UC-750), p-S65-PRKN (E3-166).
Recombinant proteins were diluted in RIPA buffer (50 mM Tris, pH 8.0 [affymetrix, 75,825], 150 mM NaCl [Fisher Scientific, BP-358], 0.1% SDS [Bio-Rad, 1,610,302], 0.5% deoxycholate [Sigma, D6750], 1% NP-40/Igepal [United States Biochemical, 19,628]). In western blots 20 ng of protein was loaded per well for all Ub and p-S65-Ub monomers and tetramers and 30 ng per well loaded for p-S65-PRKN. Please note the use of 4-fold molar excess for Ub and p-S65-Ub monomers relative to Ub and p-S65-Ub tetramers to accommodate for equal numbers of epitopes per load.
Cell culture and treatment
Primary human dermal fibroblasts collected from PINK1 or PRKN mutation carrier and control fibroblasts (cryopreserved HDF cells; [Cell Applications Inc., 106–05A]) were grown in Dulbecco’s modified Eagle medium (DMEM [Thermo, 11,965,118]) supplemented with 10% fetal bovine serum (FBS [Neuromics, FBS001800112]), 1% PenStrep (Thermo, 15,140,122) and 1% non-essential amino acids (Thermo, 11,140,050). Human embryonic kidney cells 293E (HEK293E [ATCC, CRL-3216]) were cultured in DMEM supplemented with 10% FBS. All cells were grown at 37°C, 5% CO2:air in humidified atmosphere. PINK1 or PRKN KO cells were generated by co-transfecting cells with CAS9 cDNA [62] and guide RNAs targeting PINK1 exon 6 (TACGTGGATCGGGGCGGAAA) or PRKN exon 7 (GTGTGACAAGACTCAATGAT) using XtremeGene 9 (Sigma, 6,365,787,001). pX330-U6-Chimeric_BB-CBh-hSpCas9 was a gift from Feng Zhang (Addgene, 42,230). Cells were plated as single cells in 96-well plates and expanded cell clones were screened for the absence of PINK1 or PRKN protein, respectively, by western blot. Positive cell clones were validated by Sanger sequencing of the target and of potential off-target sites.
After treatment with mitochondrial depolarizers CCCP (Sigma, C2759), valinomycin (Enzo Life Science, BML-KC140-0025), oligomycin A (Sigma, 75,351) + antimycin (Sigma, A8674), autophagic-lysosomal inhibitor bafilomycin A1 (LC Laboratories, B1080) or vehicle DMSO (Sigma, D4540), cells were lysed in RIPA buffer containing protease inhibitor cocktail and phosphatase inhibitors (Sigma-Aldrich, 11,697,498,001 and 04906837001). Cell lysates were cleared for 10 min, 4ºC at 20,817 x g and protein concentrations were determined by BCA assay (Thermo Fisher, 23,225).
Western blotting and silver staining
Protein electrophoresis was performed at room temperature (22ºC) in electrophoresis running buffer (192 mM glycine [Gold Biotechnology, G-630], 25 mM Tris, pH 8.3, 0.1% SDS). Recombinant proteins were separated at 100 V using a Mini-PROTEAN electrophoresis cell (Bio-Rad) with 4–20% gradient polyacrylamide gels (Bio-Rad, 4,561,094). Cell lysates were diluted in Laemmli buffer (62.5 mM Tris, pH 6.8, 1.5% SDS, 8.33% glycerol [Fisher Scientific, BP2291], 1.5% β-mercaptoethanol [Sigma, M3148], 0.005% bromophenol blue [Sigma, B5525]) and subjected to SDS-PAGE using 8–16% Tris-glycine gels (Invitrogen, EC60485BOX). Proteins in polyacrylamide gels were subsequently silver stained with Pierce Silver stain Kit (ThermoFisher, 24,612) or transferred on polyvinylidene fluoride membranes (Millipore, Immobilon PSQ, ISEQ00010 or PVH00010) at 4ºC, 100 V in transfer buffer (192 mM glycine, 25 mM Tris, pH 8.3, 20% methanol [Pharmcoaaper, 339000ACSCSGL]) using either a Mini or a Criterion Trans Blot Cell (Bio-Rad). Polyvinylidene fluoride membranes containing recombinant proteins were post-fixed immediately after transfer in 4% (w:v) paraformaldehyde (Sigma, 441,244) in PBS (137 mM NaCl, 2.7 mM KCl [Sigma, P3911], 10 mM Na2HPO4 [Sigma, S5136], 1.8 mM KH2PO4 [Sigma, P5655], pH 7.4) for 0.5 h at 22ºC, washed twice with TBS-T (50 mM Tris, pH 7.4, 150 mM NaCl, 0.1% Tween-20 [Sigma, P1379]) before membranes were blocked for 1 h in 5% dry milk powder (Thermo Scientific, OXLP0031B) in TBS-T on a shaking platform under gentle agitation. Primary Abs were incubated overnight in 5% BSA (Boston BioProducts, P-753) in TBS-T at 4ºC (Table 1), and membranes were washed 3 times with TBS-T before secondary Ab addition and incubation for 1 h at room temperature. Proteins were visualized after washing in TBS-T using Immobilon Western Chemiluminescent HRP Substrate (Millipore Sigma, WBKLS0500) on Pro Signal Blotting film (Genesee Scientific, 30–810 L).
Quantification of western blots and silver stained gels was performed using Image Studio Lite software. Intensity levels per area measured for protein bands from western blots were background subtracted and then normalized to the intensity levels of protein bands (from identical proteins) measured in silver stained gels.
Immunofluorescence staining of cells and high-content imaging
To quantify p-S65-Ub levels, automated high-content imaging was employed as recently described [43,63]. In brief, cells were seeded in 96-well imaging plates (Fisher Scientific, 08772225) and allowed to attach overnight. Cells were then treated for 0 or 24 h with 1 µM valinomycin. Cells were washed once in PBS (Boston BioProducts, BM-220), fixed for 10 min in 4% paraformaldehyde (Sigma-Aldrich, 441,244) and permeabilized with 1% Triton X-100 (Fisher Scientific, BP151) in PBS. Cells were stained using different p-S65-Ub Abs (see dilution details in the table) and with Hoechst 33,342 (Invitrogen, H21492l; 1:5000). Plates were imaged on a BD Pathway 855 (BD Biosciences, San Jose, CA, USA) with a 20x objective using a 2 × 2 montage (no gaps) with laser autofocus every second frame. Raw images were processed using the built-in AttoVision V1.6 software. Regions of interest were defined as nucleus and cytoplasm using the built-in “RING-2 outputs” segmentation for the Hoechst channel after applying a shading algorithm. Background signal at 0 h was subtracted for each Ab and values were normalized to the highest value.
P-S65-Ub sandwich ELISA
To establish the best combination of antibodies for the sandwich ELISA all four rabbit p-S65-Ub Abs (#A-D) were used as capturing agents and combined with each of the five different total mouse Ub Abs (#1-5) as detecting tools (Table 1). Capturing Abs were used in a concentration of 1 μg/ml in 200 mM sodium carbonate buffer pH 9.7 and coated overnight at 4ºC with 30 μl per well in 96-well MSD plate (MSD, MULTI-ARRAY® 96-well Plate; L15XA-3). The next morning MSD plates were washed 3 times with 0.22-micron filtered ELISA blocking buffer (150 mM Tris, pH 7.4, 150 mM NaCl, 0.1% [v:v] Tween-20, 1% BSA [w:v]) using a 1200 μl multi-(12)-channel pipettor with 300 μl per well and incubated for 1 h at 22ºC without shaking. Washing was performed by plate inversion and gentle tapping on paper towels (not by pipette aspiration) and with no incubation time between washes. All samples were run in duplicates and diluted in blocking buffer. Initial experiments using recombinant protein (Figure 3A) were performed using a single protein concentration of 33 ng/ml corresponding to 3.88 nM for Ub and p-S65-Ub monomers respective 968 pM for Ub and p-S65-Ub tetramers. In order to determine the sensitivity of the different p-S65-Ub Abs each combined with mouse Ub Ab 2, recombinant antigens were further analyzed as 10-fold serial dilutions. Samples were added to the plate using 100 ng – 1 fg per 30 μl total volume for each well (resulting in a final concentration range of 388 nM – 3.88 fM for monomers and 96.8 nM – 968 aM for tetramers).
For the quantification of pS65-Ub in HEK293 cells or fibroblasts, 5–10 µg of cell lysate was used per well. Detection of pS65-Ub in mouse or human brain was performed using 30 µg of lysate per well. For the p-S65-Ub ELISA in human plasma we used neat (undiluted) samples in quadruplicates (30 μl per well) in four independent runs. Antigens were incubated for 2 h at 22ºC on a microplate mixer (USA Scientific, 8182–2019) at 500 rpm and three washing steps were then performed as described before. Detecting mouse Abs (Ub 1–5, Table 1, 1 µg/ml) were added in blocking buffer in 30 μl total volume per well. In experiments with cell lysates, brain lysates or plasma, detecting Ub Ab 2 was used at a concentration of 5 μg/ml. PINK1 KO HEK293 cells were used as additional negative control and bafilomycin A1-treated WT HEK293 cells (400 μM, 24 h) were used as positive control. Detecting antibodies were incubated for 2 h at 22ºC on a microplate mixer at 500 rpm. After three washing steps, SULFO-TAG labeled goat anti-mouse Ab (MSD, R32AC-1) was next added in blocking buffer in a dilution of 1:500 using 50 μl per well and incubated for 1 h at 22ºC on a microplate mixer at 500 rpm. After another three washing steps, 150 μl MSD GOLD Read Buffer (MSD, R92TG-2) were finally added to each well and the plate being read on a MESO QuickPlex SQ 120 reader.
Mouse brain
prkn KO and pink1 KO mice were generated under a C57BL/6 background as described previously [48,49]. Mice were anesthetized and intracardial perfused with cold PBS (4ºC) and brains were removed and immediately flash-frozen in liquid nitrogen. A total of 50 mouse hemi brains were received from Dr. Matthew Goldberg (University of Alabama, USA) and included 11 WT mice (6 female, 5 male), 20 prkn KO mice (8 female, 12 male), and 19 pink1 KO mice (10 female, 9 male). Average mouse age per genotype (combined sexes) was (mean ± Std.Dev.): WT: 105.5 ± 29.7 days; prkn KO: 233.4 ± 120.7 days; pink1 KO: 142.1 ± 17.1 days. Mice with identical genotype originated either from the same or different litters. Mice with different genotype were not littermates.
Frozen brains were stored at −80ºC and kept on dry ice and completely frozen during handling including weighing. Throughout all tissue lysis/homogenization steps, mouse brain tissues/lysates were kept at 4ºC. Mouse brain tissue was first homogenized in 5 volumes (relative to brain weight e.g. 100 mg brain tissue in 500 μl) of ice-cold TBS supplemented with protease and phosphatase inhibitors. Brains were homogenized first by passing through a 1-ml pipette tip followed by 10 strokes up and down through a 27xg needle. Brain homogenates were divided in 100 μl aliquots, flash-frozen in liquid nitrogen, and stored at −80ºC. Tissue lysis was completed by adding 25 μl of 5x RIPA buffer to 100 μl of mouse brain homogenate on ice, mixed, passed through a 27xg needle (10 times up and 10 times down) and incubated at 4ºC for 30 min. Insoluble material, lipids, and nucleic acids were removed by serial centrifugation (2x) at 20,000 x g, 4ºC for 10 min.
Human autopsy brain
Demographic information: Autopsied human brain specimens originate from frontal cortex in AD vs. neurologically normal controls. As for the control cohort (n = 9) the average age was 84.0 ± 6.2 years (mean ± Std.Dev.); 44% females; Braak tangle stage was between I–III (5x I; 3x II, 1x III); Thal phase was determined in 4 out of 9 control cases (3x 0, 1 × 2). In the AD cohort (n = 10) the average age was 84.4 ± 3.3 years (mean ± Std.Dev.); 50% females; Braak tangle stage was between V–VI (6x V, 4x VI); Thal phase was determined in 5 out of 10 AD cases (4x 5, 1 × 3).
Human brain tissue was stored at −80ºC and kept on dry ice and completely frozen during handling including weighing. Frozen human brain chips from frontal cortex were lysed in five volumes of RIPA buffer supplemented with protease and phosphatase inhibitors. Tissue lysis/homogenization was performed at 4ºC during all steps by triturating first through a 1 ml pipette tip followed by 10 strokes up and down through a 23xg needle and finally 10 times through a 27xg needle and incubated for additional 30 min at 4ºC. Insoluble material, lipids, and nucleic acids were removed by centrifugation at 20,000 x g, 4ºC for 10 min. The resulting fraction was termed RIPA fraction (soluble fraction). The pellet was washed twice with RIPA buffer to remove remaining RIPA-soluble material and the remaining pellet was heated for 5 min at 95ºC in RIPA buffer supplemented with 1% SDS final concentration. Volumes used for this RIPA+SDS fraction (insoluble fraction) were identical to corresponding volumes for each RIPA fraction. Pellets from the RIPA+SDS (insoluble fraction) fraction were washed twice in RIPA with 1% SDS and subsequently solubilized in 8 M urea (Oakwood Chemical, 044699) with 4% SDS, run on western blots, probed for housekeeping proteins, and did not contain any detectable protein levels.
Immunohistochemistry of human postmortem brain
Hippocampal sections from paraffin embedded postmortem AD brain tissue were cut at a thickness of 5 microns and allowed to dry overnight in a 60°C oven. Following de-paraffinization and rehydration, target retrieval was performed by steaming the sections for 30 min in deionized water. Immunostaining was performed with a Dako Autostainer using Envision Plus kit (Agilent, K4011). Endogenous peroxidase was blocked for 5 min with 0.03% hydrogen peroxide. Sections were then treated with 5% normal goat serum (Invitrogen, 16,210,072) for 20 min. Subsequently, sections were incubated for 45 min at room temperature in different dilutions of primary Abs against p-S65-Ub (Ab A-D). After incubation with primary Ab, sections were incubated in Envision-Plus rabbit- or mouse-labeled polymer HRP (Agilent, K4011) for 30 min at room temperature. Peroxidase labeling was visualized with the chromogen solution 3, 3ʹ-diaminobenzidine. The sections were then counterstained with Lerner 1-hematoxylin (Fisher Scientific, CS400-1D) and cover slipped with Cytoseal mounting medium (Thermo Scientific, 8310). After drying, all sections were scanned with an Aperio AT2 digital pathology scanner (Leica Biosystems, Wetzlar, Germany).
Human plasma preparation and analysis
Control plasma samples were obtained from the Harvard Biomarkers Study (https://www.bwhparkinsoncenter.org) [44] with the following basic demographics: n = 29; sex: 11 F, 18 M; age: 63.1 ± 10.2 years (mean ± Std.Dev.). Additional samples were obtained from four related family members with or without a rare, pathogenic PINK1 mutation [42]: WT controls (n = 2; both M; age; 29 and 31), p.Q456X heterozygote (n = 1; F; age 52), and p.Q456X homozygote (n = 1; M; age 46). These blood samples were processed within 30 min of collection. In brief, blood (10 ml) was collected in EDTA vacutainers; tubes were inverted to mix and subsequently kept on ice. Samples were centrifuged for 15 min at 4ºC at 2,465 x g. Supernatants were aliquoted on ice with 500 μl per tube, frozen on dry-ice. For p-S65-Ub ELISAs, samples were thawed on ice, centrifuged for 10 min, 4ºC at 20,000 x g, aliquoted into 100 μl and directly used as needed or flash-frozen in liquid nitrogen.
Statistical analysis
Each sample was run in duplets on the same plate with at least three replicates. For the intraplate CV, mean and standard deviation were calculated for each sample of the specific cohort that was run in duplicates on each plate. The mean was then calculated from all intraplate CVs for a specific cohort and antibody combination and shown in Table 2. As for the interplate CV, the mean from each duplicate run of a specific sample and each subsequent technical repeat was used to calculate the overall mean (i.e. the mean of the means). Interplate CVs for specific samples and conditions were then used to calculate cohort-specific interplate CVs (e.g. for all K48 p-S65-Ub4) which are shown in Table 2.
Data analysis was performed in GraphPad Prism version 8 software. Two-way ANOVA followed by Tukey’s multiple comparison test was used for the human fibroblast analysis (three genotypes, four time points), the HEK293 cell analysis (three genotypes, four different treatments) as well as for autophagic-lysosomal impairment of HEK293 cells (two genotypes, two different treatments). A Kruskal-Wallis rank sum test followed by Dunn’s multiple comparison test was used for statistical analysis of human frontal cortex tissue in AD versus control cases (soluble vs. insoluble fraction in each AD and control) and for mouse brain tissue analysis (three genotypes, combined sexes).
Supplementary Material
Acknowledgments
We are grateful to the patients and their families who made this study possible. We thank Audrey Strongosky, Anne Martin, and Devin Elmore for providing logistical support as well as Prof. Grzegorz Opala and Stowarzyszenie Rozwoju Neurologii Wieku Podeszlego for co-sponsoring the collection of biospecimens. We also thank all Harvard Biomarkers Study (HBS) participants and their families for their invaluable contributions. The HBS (https://www.bwhparkinsoncenter.org) is a collaborative initiative of Brigham and Women’s Hospital and Massachusetts General Hospital, co-directed by Dr. Clemens Scherzer and Dr. Bradley T. Hyman. The HBS Investigators have not participated in reviewing the current manuscript. The HBS Study Investigators are: Harvard Biomarkers Study. Co-Directors: Brigham and Women’s Hospital: Clemens R. Scherzer, Massachusetts General Hospital: Bradley T. Hyman; Investigators and Study Coordinators: Brigham and Women’s Hospital: Yuliya Kuras, Karbi Choudhury, Michael T. Hayes, Aleksandar Videnovic, Nutan Sharma, Vikram Khurana, Claudio Melo De Gusmao, Reisa Sperling; Massachusetts General Hospital: John H. Growdon, Michael A. Schwarzschild, Albert Y. Hung, Alice W. Flaherty, Deborah Blacker, Anne-Marie Wills, Steven E. Arnold, Ann L. Hunt, Nicte I. Mejia, Anand Viswanathan, Stephen N. Gomperts, Mark W. Albers, Maria Allora-Palli, David Hsu, Alexandra Kimball, Scott McGinnis, John Becker, Randy Buckner, Thomas Byrne, Maura Copeland, Bradford Dickerson, Matthew Frosch, Theresa Gomez-Isla, Steven Greenberg, Julius Hedden, Elizabeth Hedley-Whyte, Keith Johnson, Raymond Kelleher, Aaron Koenig, Maria Marquis-Sayagues, Gad Marshall, Sergi Martinez-Ramirez, Donald McLaren, Olivia Okereke, Elena Ratti, Christopher William, Koene Van Dij, Shuko Takeda, Anat Stemmer-Rachaminov, Jessica Kloppenburg, Catherine Munro, Rachel Schmid, Sarah Wigman, Sara Wlodarcsyk; Data Coordination: Brigham and Women’s Hospital: Thomas Yi; Biobank Management Staff: Brigham and Women’s Hospital: Idil Tuncali. Further, we thank Monica Castanedes-Casey and Virginia R. Phillips from the Neuropathology Laboratory for excellent technical support. We thank the Center for Regenerative Medicine and Mary Davis from the Neuroregeneration Lab for biobanking of patient cells at Mayo Clinic Florida. We also thank Dr. Miratul Muqit (University of Dundee) for the generous contribution of p-S65-PRKN antibody.
Funding Statement
This study was funded in part by the Michael J. Fox Foundation for Parkinson’s Research (MJFF) [8948.03 to W.S.]. W.S. is further supported by the National Institutes of Health (NIH)/National Institute of Neurological Disorders and Stroke (NINDS) [RF1 NS085070, R01 NS110085, and U54 NS110435], National Institute of Aging (NIA) [R56 AG062556], the Department of Defense Congressionally Directed Medical Research Programs (CDMRP) [W81XWH-17-1-0248], the Florida Department of Health - Ed and Ethel Moore Alzheimer’s Disease Research Program [9AZ10], Mayo Clinic Foundation and the Center for Biomedical Discovery (CBD). O.A.R. is supported in part by the Department of Defense Congressionally Directed Medical Research Programs (CDMRP) [W81XWH-17-1-0249], NINDS LBD CWOW U54 NS110435 and the MJFF. X.H. is supported by a pilot grant from the Mayo Clinic Alzheimer Disease Research Center (ADRC) and a fellowship awarded by the American Parkinson Disease Association (APDA). F.C.F. is the recipient of fellowships from the Younkin Scholar Program and the APDA and is supported in part by the MJFF and a Gerstner Family Career Development Award from the Mayo Clinic Center for Individualized Medicine (CIM). S.K.B. and M.S.G. were supported in part by MJFF grants 11380.01 and 11947. Z.K.W. is supported in part by gifts from The Sol Goldman Charitable Trust, the Donald G. and Jodi P. Heeringa Family, the Haworth Family Professorship in Neurodegenerative Diseases fund, and The Albertson Parkinson’s Research Foundation. Mayo Clinic Jacksonville is an APDA Information and Referral Center as well as an APDA Center for Advanced Research. The Harvard Biomarker Study (HBS) is made possible by generous support from the Harvard NeuroDiscovery Center, with additional contributions from the MJFF, NINDS U01 NS082157, U01 NS100603, and the Massachusetts Alzheimer’s Disease Research Center NIA P50 AG005134.
Disclosure statement
Mayo Clinic, W.S. and F.C.F. have filed a patent in the area of mitophagy activation.
Supplementary material
Supplemental data for this article can be accessed here.
References
- [1].Cheng HC, Ulane CM, Burke RE.. Clinical progression in Parkinson disease and the neurobiology of axons. Ann Neurol. 2010;67:715–725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Fearnley JM, Lees AJ.. Ageing and Parkinson’s disease: substantia nigra regional selectivity. Brain. 1991;114(Pt 5):2283–2301. [DOI] [PubMed] [Google Scholar]
- [3].Ross GW, Petrovitch H, Abbott RD, et al. Parkinsonian signs and substantia nigra neuron density in decendents elders without PD. Ann Neurol. 2004;56:532–539. [DOI] [PubMed] [Google Scholar]
- [4].Whone AL, Watts RL, Stoessl AJ, et al. Slower progression of Parkinson’s disease with ropinirole versus levodopa: the REAL-PET study. Ann Neurol. 2003;54:93–101. [DOI] [PubMed] [Google Scholar]
- [5].Dos Santos V, Thomann PA, Wustenberg T, et al. Morphological cerebral correlates of CERAD test performance in mild cognitive impairment and Alzheimer’s disease. J Alzheimers Dis. 2011;23:411–420. [DOI] [PubMed] [Google Scholar]
- [6].Marsili L, Rizzo G, Colosimo C. Diagnostic criteria for Parkinson’s disease: from James Parkinson to the concept of prodromal disease. Front Neurol. 2018;9:156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord. 2015;30:1591–1601. [DOI] [PubMed] [Google Scholar]
- [8].Zhao H, Wang C, Zhao N, et al. Potential biomarkers of Parkinson’s disease revealed by plasma metabolic profiling. J Chromatogr B Analyt Technol Biomed Life Sci. 2018;1081-1082:101–108. [DOI] [PubMed] [Google Scholar]
- [9].Kish SJ, Bergeron C, Rajput A, et al. Brain cytochrome oxidase in Alzheimer’s disease. J Neurochem. 1992;59:776–779. [DOI] [PubMed] [Google Scholar]
- [10].Nixon RA, Wegiel J, Kumar A, et al. Extensive involvement of autophagy in Alzheimer disease: an immuno-electron microscopy study. J Neuropathol Exp Neurol. 2005;64:113–122. [DOI] [PubMed] [Google Scholar]
- [11].Schapira AH, Cooper JM, Dexter D, et al. Mitochondrial complex I deficiency in Parkinson’s disease. J Neurochem. 1990;54:823–827. [DOI] [PubMed] [Google Scholar]
- [12].Kitada T, Asakawa S, Hattori N, et al. Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism. Nature. 1998;392:605–608. [DOI] [PubMed] [Google Scholar]
- [13].Valente EM, Abou-Sleiman PM, Caputo V, et al. Hereditary early-onset Parkinson’s disease caused by mutations in PINK1. Science. 2004;304:1158–1160. [DOI] [PubMed] [Google Scholar]
- [14].Geisler S, Holmstrom KM, Skujat D, et al. PINK1/Parkin-mediated mitophagy is dependent on VDAC1 and p62/SQSTM1. Nat Cell Biol. 2010;12:119–131. [DOI] [PubMed] [Google Scholar]
- [15].Geisler S, Holmstrom KM, Treis A, et al. The PINK1/Parkin-mediated mitophagy is compromised by PD-associated mutations. Autophagy. 2010;6:871–878. [DOI] [PubMed] [Google Scholar]
- [16].Greene JC, Whitworth AJ, Kuo I, et al. Mitochondrial pathology and apoptotic muscle degeneration in Drosophila parkin mutants. Proc Natl Acad Sci U S A. 2003;100:4078–4083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].Matsuda N, Sato S, Shiba K, et al. PINK1 stabilized by mitochondrial depolarization recruits Parkin to damaged mitochondria and activates latent Parkin for mitophagy. J Cell Biol. 2010;189:211–221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Narendra D, Tanaka A, Suen DF, et al. Parkin is recruited selectively to impaired mitochondria and promotes their autophagy. J Cell Biol. 2008;183:795–803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Narendra DP, Jin SM, Tanaka A, et al. PINK1 is selectively stabilized on impaired mitochondria to activate Parkin. PLoS Biol. 2010;8:e1000298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Truban D, Hou X, Caulfield TR, et al. PINK1, Parkin, and Mitochondrial quality control: what can we learn about Parkinson’s disease pathobiology? J Parkinsons Dis. 2017;7:13–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Vives-Bauza C, Zhou C, Huang Y, et al. PINK1-dependent recruitment of Parkin to mitochondria in mitophagy. Proc Natl Acad Sci U S A. 2010;107:378–383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Ziviani E, Tao RN, Whitworth AJ. Drosophila parkin requires PINK1 for mitochondrial translocation and ubiquitinates mitofusin. Proc Natl Acad Sci U S A. 2010;107:5018–5023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Matheoud D, Cannon T, Voisin A, et al. Intestinal infection triggers Parkinson’s disease-like symptoms in Pink1(-/-) mice. Nature. 2019;571:565–569. [DOI] [PubMed] [Google Scholar]
- [24].Matheoud D, Sugiura A, Bellemare-Pelletier A, et al. Parkinson’s disease-related proteins PINK1 and Parkin repress mitochondrial antigen presentation. Cell. 2016;166:314–327. [DOI] [PubMed] [Google Scholar]
- [25].Kane LA, Lazarou M, Fogel AI, et al. PINK1 phosphorylates ubiquitin to activate Parkin E3 ubiquitin ligase activity. J Cell Biol. 2014;205:143–153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Kazlauskaite A, Kondapalli C, Gourlay R, et al. Parkin is activated by PINK1-dependent phosphorylation of ubiquitin at Ser65. Biochem J. 2014;460:127–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Koyano F, Okatsu K, Kosako H, et al. Ubiquitin is phosphorylated by PINK1 to activate parkin. Nature. 2014;510:162–166. [DOI] [PubMed] [Google Scholar]
- [28].Iguchi M, Kujuro Y, Okatsu K, et al. Parkin-catalyzed ubiquitin-ester transfer is triggered by PINK1-dependent phosphorylation. J Biol Chem. 2013;288:22019–22032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Kondapalli C, Kazlauskaite A, Zhang N, et al. PINK1 is activated by mitochondrial membrane potential depolarization and stimulates Parkin E3 ligase activity by phosphorylating Serine 65. Open Biol. 2012;2:120080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Shiba-Fukushima K, Imai Y, Yoshida S, et al. PINK1-mediated phosphorylation of the Parkin ubiquitin-like domain primes mitochondrial translocation of Parkin and regulates mitophagy. Sci Rep. 2012;2:1002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Okatsu K, Koyano F, Kimura M, et al. Phosphorylated ubiquitin chain is the genuine Parkin receptor. J Cell Biol. 2015;209:111–128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [32].Ordureau A, Sarraf SA, Duda DM, et al. Quantitative proteomics reveal a feedforward mechanism for mitochondrial PARKIN translocation and ubiquitin chain synthesis. Mol Cell. 2014;56:360–375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Shiba-Fukushima K, Arano T, Matsumoto G, et al. Phosphorylation of mitochondrial polyubiquitin by PINK1 promotes Parkin mitochondrial tethering. PLoS Genet. 2014;10:e1004861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Fiesel FC, Ando M, Hudec R, et al. (Patho-)physiological relevance of PINK1-dependent ubiquitin phosphorylation. EMBO Rep. 2015;16:1114–1130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Fiesel FC, Springer W. Disease relevance of phosphorylated ubiquitin (p-S65-Ub). Autophagy. 2015;11:2125–2126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Hou X, Fiesel FC, Truban D, et al. Age- and disease-dependent increase of the mitophagy marker phospho-ubiquitin in normal aging and Lewy body disease. Autophagy. 2018;14:1404–1418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].McWilliams TG, Prescott AR, Montava-Garriga L, et al. Basal mitophagy occurs independently of PINK1 in mouse tissues of high metabolic demand. Cell Metab. 2018;27:439–49 e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [38].Harper JW, Ordureau A, Heo JM. Building and decoding ubiquitin chains for mitophagy. Nat Rev Mol Cell Biol. 2018;19:93–108. [DOI] [PubMed] [Google Scholar]
- [39].Shiba-Fukushima K, Ishikawa KI, Inoshita T, et al. Evidence that phosphorylated ubiquitin signaling is involved in the etiology of Parkinson’s disease. Hum Mol Genet. 2017;26:3172–3185. [DOI] [PubMed] [Google Scholar]
- [40].Tholen DW, Kristian Linnet MD, Kondratovich M, et al. Protocols for determination of limits of detection and limits of quantitation; approved guideline (EP17-A). 940 West Valley Road, Suite 1400, Wayne, Pennsylvania 19087-1898, USA: NCCLS; 2004. [Google Scholar]
- [41].Armbruster DA, Pry T. Limit of blank, limit of detection and limit of quantitation. Clin Biochem Rev. 2008;29(Suppl 1):S49–52. [PMC free article] [PubMed] [Google Scholar]
- [42].Siuda J, Jasinska-Myga B, Boczarska-Jedynak M, et al. Early-onset Parkinson’s disease due to PINK1 p.Q456X mutation–clinical and functional study. Parkinsonism Relat Disord. 2014;20:1274–1278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [43].Puschmann A, Fiesel FC, Caulfield TR, et al. Heterozygous PINK1 p.G411S increases risk of Parkinson’s disease via a dominant-negative mechanism. Brain. 2017;140:98–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [44].Liu G, Locascio JJ, Corvol JC, et al. Prediction of cognition in Parkinson’s disease with a clinical-genetic score: a longitudinal analysis of nine cohorts. Lancet Neurol. 2017;16:620–629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [45].Gladkova C, Schubert AF, Wagstaff JL, et al. An invisible ubiquitin conformation is required for efficient phosphorylation by PINK1. Embo J. 2017;36:3555–3572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [46].Akundi RS, Huang Z, Eason J, et al. Increased mitochondrial calcium sensitivity and abnormal expression of innate immunity genes precede dopaminergic defects in Pink1-deficient mice. PLoS One. 2011;6:e16038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [47].Gispert S, Ricciardi F, Kurz A, et al. Parkinson phenotype in aged PINK1-deficient mice is accompanied by progressive mitochondrial dysfunction in absence of neurodegeneration. PLoS One. 2009;4:e5777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [48].Goldberg MS, Fleming SM, Palacino JJ, et al. Parkin-deficient mice exhibit nigrostriatal deficits but not loss of dopaminergic neurons. J Biol Chem. 2003;278:43628–43635. [DOI] [PubMed] [Google Scholar]
- [49].Kitada T, Pisani A, Porter DR, et al. Impaired dopamine release and synaptic plasticity in the striatum of PINK1-deficient mice. Proc Natl Acad Sci U S A. 2007;104:11441–11446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Noda S, Sato S, Fukuda T, et al. Loss of Parkin contributes to mitochondrial turnover and dopaminergic neuronal loss in aged mice. Neurobiol Dis. 2020;136:104717. [DOI] [PubMed] [Google Scholar]
- [51].Pickrell AM, Huang CH, Kennedy SR, et al. Endogenous Parkin preserves dopaminergic substantia nigral neurons following mitochondrial DNA mutagenic stress. Neuron. 2015;87:371–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [52].Sliter DA, Martinez J, Hao L, et al. Parkin and PINK1 mitigate STING-induced inflammation. Nature. 2018;561:258–262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Hou X, Watzlawik JO, Cook C, et al. Mitophagy alterations in Alzheimer’s disease are associated with granulovacuolar degeneration and early tau pathology. Alzheimer’s Dementia. 2020. (in press). DOI: 10.1002/alz.12198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [54].Ando M, Fiesel FC, Hudec R, et al. The PINK1 p.I368N mutation affects protein stability and ubiquitin kinase activity. Mol Neurodegener. 2017;12:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [55].Cao Y, Li C, Zhang Q, et al. Extracellular ubiquitin enhances the suppressive effects of regulatory T cells on effector T cell responses. Clin Lab. 2014;60:1983–1991. [DOI] [PubMed] [Google Scholar]
- [56].Majetschak M, Krehmeier U, Bardenheuer M, et al. Extracellular ubiquitin inhibits the TNF-alpha response to endotoxin in peripheral blood mononuclear cells and regulates endotoxin hyporesponsiveness in critical illness. Blood. 2003;101:1882–1890. [DOI] [PubMed] [Google Scholar]
- [57].Saini V, Marchese A, Tang WJ, et al. Structural determinants of ubiquitin-CXC chemokine receptor 4 interaction. J Biol Chem. 2011;286:44145–44152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [58].Wong YM, LaPorte HM, Albee LJ, et al. Ubiquitin Urine Levels in Burn Patients. J Burn Care Res. 2017;38:e133–e43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [59].Gersch M, Gladkova C, Schubert AF, et al. Mechanism and regulation of the Lys6-selective deubiquitinase USP30. Nat Struct Mol Biol. 2017;24:920–930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [60].Swatek KN, Usher JL, Kueck AF, et al. Insights into ubiquitin chain architecture using Ub-clipping. Nature. 2019;572:533–537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Wauer T, Swatek KN, Wagstaff JL, et al. Ubiquitin Ser65 phosphorylation affects ubiquitin structure, chain assembly and hydrolysis. Embo J. 2015;34:307–325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [62].Cong L, Ran FA, Cox D, et al. Multiplex genome engineering using CRISPR/Cas systems. Science. 2013;339(6121):819–823. . [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Fiesel FC, Moussaud-Lamodiere EL, Ando M, et al. A specific subset of E2 ubiquitin-conjugating enzymes regulate Parkin activation and mitophagy differently. J Cell Sci. 2014;127:3488–3504. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.