Literature DB >> 30983487

Age-dependent accumulation of oligomeric SNCA/α-synuclein from impaired degradation in mutant LRRK2 knockin mouse model of Parkinson disease: role for therapeutic activation of chaperone-mediated autophagy (CMA).

Philip Wing-Lok Ho1, Chi-Ting Leung1, Huifang Liu1, Shirley Yin-Yu Pang1, Colin Siu-Chi Lam1, Jiawen Xian1, Lingfei Li1, Michelle Hiu-Wai Kung1, David Boyer Ramsden2, Shu-Leong Ho1.   

Abstract

Parkinson disease (PD) is an age-related neurodegenerative disorder associated with misfolded SNCA/α-synuclein accumulation in brain. Impaired catabolism of SNCA potentiates formation of its toxic oligomers. LRRK2 (leucine-rich repeat kinase-2) mutations predispose to familial and sporadic PD. Mutant LRRK2 perturbs chaperone-mediated-autophagy (CMA) to degrade SNCA. We showed greater age-dependent accumulation of oligomeric SNCA in striatum and cortex of aged LRRK2R1441G knockin (KI) mice, compared to age-matched wildtype (WT) by 53% and 31%, respectively. Lysosomal clustering and accumulation of CMA-specific LAMP2A and HSPA8/HSC70 proteins were observed in aged mutant striatum along with increased GAPDH (CMA substrate) by immunohistochemistry of dorsal striatum and flow cytometry of ventral midbrain cells. Using our new reporter protein clearance assay, mutant mouse embryonic fibroblasts (MEFs) expressing either SNCA or CMA recognition 'KFERQ'-like motif conjugated with photoactivated-PAmCherry showed slower cellular clearance compared to WT by 28% and 34%, respectively. However, such difference was not observed after the 'KFERQ'-motif was mutated. LRRK2 mutant MEFs exhibited lower lysosomal degradation than WT indicating lysosomal dysfunction. LAMP2A-knockdown reduced total lysosomal activity and clearance of 'KFERQ'-substrate in WT but not in mutant MEFs, indicating impaired CMA in the latter. A CMA-specific activator, AR7, induced neuronal LAMP2A transcription and lysosomal activity in MEFs. AR7 also attenuated the progressive accumulation of both intracellular and extracellular SNCA oligomers in prolonged cultures of mutant cortical neurons (DIV21), indicating that oligomer accumulation can be suppressed by CMA activation. Activation of autophagic pathways to reduce aged-related accumulation of pathogenic SNCA oligomers is a viable disease-modifying therapeutic strategy for PD.Abbreviations: 3-MA: 3-methyladenine; AR7: 7-chloro-3-(4-methylphenyl)-2H-1,4-benzoxazine; CMA: chaperone-mediated autophagy; CQ: chloroquine; CSF: cerebrospinal fluid; DDM: n-dodecyl β-D-maltoside; DIV: days in vitro; ELISA: enzyme-linked immunosorbent assay; FACS: fluorescence-activated cell sorting; GAPDH: glyceraldehyde-3-phosphate dehydrogenase; GWAS: genome-wide association studies; HSPA8/HSC70: heat shock protein 8; KFERQ: CMA recognition pentapeptide; KI: knockin; LAMP1: lysosomal-associated membrane protein 1; LAMP2A: lysosomal-associated membrane protein 2A; LDH: lactate dehydrogenase; LRRK2: leucine-rich repeat kinase 2; MEF: mouse embryonic fibroblast; NDUFS4: NADH:ubiquinone oxidoreductase core subunit S4; NE: novel epitope; PD: Parkinson disease; RARA/RARα: retinoic acid receptor, alpha; SNCA: synuclein, alpha; TUBB3/TUJ1: tubulin, beta 3 class III; WT: wild-type.

Entities:  

Keywords:  Alpha-synuclein; LRRK2; Parkinson disease; aging; chaperone-mediated autophagy; knockin mouse model; oligomers; protein aggregation; protein degradation; therapeutic strategy

Mesh:

Substances:

Year:  2019        PMID: 30983487      PMCID: PMC6984454          DOI: 10.1080/15548627.2019.1603545

Source DB:  PubMed          Journal:  Autophagy        ISSN: 1554-8627            Impact factor:   16.016


Introduction

Parkinson disease (PD) is characterized pathologically by abnormal deposits of SNCA/α-synuclein aggregates in brain and loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc). Its etiology and pathogenesis are thought to involve a complex interplay of aging, genetic susceptibility and environmental factors. Aging is one of the most important risk factors. PD is rare before the age of 50 years, worldwide, but its prevalence increases to 1% among those aged 60 years or above worldwide [1]. Genetic susceptibility plays an important role, with over 25 genes linked to PD [2-4]. Many environmental factors have been implicated, including pesticide exposure. The relative contribution of genetic and environmental factors is different for each individual, giving rise to heterogeneity in clinical features and prognosis. Genome-wide association studies (GWAS) have linked SNCA (synuclein, alpha) mutations to both familial and sporadic PD [5,6]. This gene encodes for SNCA, a small (14 kDa) protein widely expressed in the brain. It is enriched in presynaptic terminals where it regulates vesicle trafficking. Accumulation and propagation of misfolded SNCA in the brain is integral to the disease pathogenesis, suggesting that impaired cellular handling of this protein likely plays a key role in PD [7,8]. Indeed, SNCA was the first gene identified to cause familial PD. These mutations include missense and multiplication mutations that enhance the propensity of SNCA to aggregate and form abnormal protein structures including its toxic pre-fibrillar oligomeric species [9-11]. SNCA propagates to neighboring neurons, either as free-floating protein molecules or via extracellular vesicles (or exosomes), which then act as a template to seed further aggregation in other brain regions [12,13]. SNCA exists in a dynamic equilibrium amongst different conformations and oligomers [10], and the propensity for its aggregation may be reversed by reduction in monomeric SNCA levels which results in disaggregation of soluble oligomers [14]. SNCA is degraded via both the proteasome and autophagic pathways. Compounds which increase SNCA degradation may represent a therapeutic option to prevent synucleinopathies and slow down progression of PD [15]. Clearance of misfolded proteins and aggregates by chaperone-mediated autophagy (CMA) is essential for normal cellular function, especially in post-mitotic cells such as neurons which cannot dilute accumulated, damaged, and toxic intracellular components by cellular division [16-18]. CMA dysfunction has been described in PD [19-22]. CMA is a subtype of autophagy involving (i) cytosolic protein substrate recognition by the HSPA8/HSC70 (heat shock protein 8) [23], which targets the substrate to lysosomes, (ii) substrate binding and unfolding via LAMP2A (lysosomal membrane receptor type (2a), (iii) formation of a substrate translocation complex with membrane-bound LAMP2A, (iv) substrate degradation by intra-lysosomal enzymes, and (v) disassembly of the translocation complex and degradation of multimeric LAMP2A to be recycled [17,24,25]. The CMA-specific recognition motif (KFERQ) is present in about 30% of cytosolic proteins, including SNCA and LRRK2 (leucine-rich repeat kinase 2), and more proteins can become CMA substrates by post-translational modification upon cellular stress [26,27]. Autophagic activity to degrade aberrant proteins declines with age. This decline underpins the pathogenesis of many neurodegenerative diseases where abnormal protein aggregation occurs [28,29]. LRRK2 mutations are the most common cause of both familial and sporadic PD [2]. Patients with LRRK2-associated PD demonstrate clinical features indistinguishable from typical idiopathic cases. How LRRK2 mutations cause synucleinopathies in PD is still unclear. In our earlier work, we generated a knockin (KI) mouse colony carrying the homozygous LRRK2R1441G mutation [30]. LRRK2R1441G KI mice do not show overt PD symptoms under normal conditions but are more susceptible to external stress [30,31]. These features are similar to those in two other mutant LRRK2 KI mouse colonies of PD, i.e. LRRK2G2019S and LRRK2R1441C [32,33]. Recent studies have linked CMA and PD by showing that both SNCA and LRRK2 are substrates for CMA degradation [20,22,34]. The pathogenic or mutant forms of LRRK2 are thought to bind abnormally to CMA-specific lysosomal LAMP2A, thereby preventing their own degradation and the degradation of other CMA substrates, including SNCA [34,35]. In this study, we hypothesized that LRRK2 mutation impairs degradation of SNCA by partly affecting CMA processes in LRRK2 mutant mice, and such impairment may result in a progressive accumulation of toxic SNCA oligomers in the brain with age. We addressed the question of whether LRRK2 mutation carriers are more susceptible to SNCA accumulation in aging by elucidating the age-dependent changes in the levels of SNCA oligomers and various CMA-related lysosomal proteins in LRRK2R1441G KI mouse brains. We developed a unique fluorescence-based flow cytometry assay using mutant mouse embryonic fibroblasts (MEFs) to elucidate the effects of LRRK2 mutation on intracellular clearance of SNCA. A reference substrate peptide extracted from mouse RNase A (ribonuclease A) protein, which contains the ‘KFERQ’-like pentapeptide (CMA recognition motif), was used as a parallel reference for monitoring CMA degradation. RNase A is the first protein to be identified as a CMA substrate [36,37]. We found that both the total lysosomal activity and clearance of CMA-specific substrates were impaired in LRRK2R1441G KI cells. Furthermore, we treated mutant LRRK2 primary cortical neurons with a specific CMA activator to attenuate intracellular accumulation and extracellular release of SNCA oligomers as a proof of principle whether activation of CMA may be a viable therapeutic option in preventing oligomeric SNCA buildup in aging neurons.

Results

LRRK2R1441G mutation causes age-dependent accumulation of SNCA oligomers in brain

To address whether LRRK2 mutation increases the susceptibility of aging brains to SNCA accumulation, levels of oligomeric SNCA in striatal and cortical soluble lysates from LRRK2R1441G KI mice and their age-matched WT controls were compared using dot-blotting and SNCA oligomer-specific ELISA. To avoid confounding variations in genetic background, these mice were back-crossed with wildtype C57BL/6 mice for at least eight generations. All age-matched WT and KI mice were bred from littermates with identical genetic backgrounds, and they were housed under same husbandry condition. We measured age-dependent changes in levels of total amyloid-like oligomers in soluble striatal lysates extracted from 3-, 12-, 15- and 18-month old mice by dot-blotting using ‘A11’ conformational antibody, which broadly recognizes all soluble amyloid-like oligomers, but not the monomeric form or mature fibers of SNCA [11,38,39]. We found a significant age-dependent increase in both total soluble SNCA [Age effect: F(3,52) = 12.51, p < 0.0001] and total amyloid-like oligomers in KI mice compared with those occurring in WT [Age effect: F(3,49) = 14.17, p < 0.0001] (Figure 1(a)(i) and (ii)). In younger mice (3- and 12-month old), no statistical significant difference in ‘A11’ oligomer levels between WT and KI mice was observed, but at 15 months a difference became apparent, reaching statistical significance at 18 months of age [Mutation effect: F(1,49) = 10.43, p < 0.01]; Interaction between mutation and age [F(3,49) = 3.556, p < 0.05] (Figure 1(a)(ii)). By using a growth curve model to predict the rate of increase of oligomer levels with age, the doubling time of amyloid oligomer formation in KI mice was predicted to be 15.3 months (95% CI = 10.4 to 29.13), as compared with a longer period of 32.6 months (95% CI = 18.39 to 143.9) for WT mice (Figure 1(a)(iii)). We found no statistical differences in amyloid-like oligomer levels in the CSF between WT and KI mice at both 3-month and 18-month of age (Figure S1).
Figure 1.

LRRK2R1441G KI mutation caused an age-dependent increase of SNCA oligomers in mouse brain striatum and cortex. (a) (i) Layout of example dot blots shown below, (ii) example of amyloid-like oligomer (‘A11’) dot blots, (iii) example of total SNCA dot blots, (iv) relative levels of total SNCA, (v) relative levels of amyloid-like oligomers in soluble striatal lysates extracted from LRRK2R1441G KI mice and their WT littermates at 3, 12, 15 and 18 months (N = 7). Each data point represents measurement of 1μg striatal lysate from each individual mouse. (vi) Predicted rate of increase of ‘A11’ oligomer levels with age in LRRK2 KI mice was significantly higher than that in WT mice as estimated by mathematical fitting of their corresponding growth curves. Predicted doubling time of oligomer formation in KI mice was 15.3 months (95% CI = 10.4 to 29.13), as compared with 32.6 months (95% CI = 18.39 to 143.9) for WT mice. (b) (i) SNCA oligomer ELISA standard curve. Levels of SNCA oligomer in (ii) striatal soluble lysates, and (iii) cortical soluble lysates from LRRK2R1441G KI mice and their age-matched WT controls determined by a sandwich-ELISA. Quantification of SNCA oligomer in samples was based on (i) a standard curve generated from purified recombinant SNCA oligomer standards (Figure S1). Data are expressed as mean ± S.E.M. Statistical significance at the level of *p < 0.05 and **p < 0.01, as compared to WT controls by post-hoc multiple comparison following two-way ANOVA.

LRRK2R1441G KI mutation caused an age-dependent increase of SNCA oligomers in mouse brain striatum and cortex. (a) (i) Layout of example dot blots shown below, (ii) example of amyloid-like oligomer (‘A11’) dot blots, (iii) example of total SNCA dot blots, (iv) relative levels of total SNCA, (v) relative levels of amyloid-like oligomers in soluble striatal lysates extracted from LRRK2R1441G KI mice and their WT littermates at 3, 12, 15 and 18 months (N = 7). Each data point represents measurement of 1μg striatal lysate from each individual mouse. (vi) Predicted rate of increase of ‘A11’ oligomer levels with age in LRRK2 KI mice was significantly higher than that in WT mice as estimated by mathematical fitting of their corresponding growth curves. Predicted doubling time of oligomer formation in KI mice was 15.3 months (95% CI = 10.4 to 29.13), as compared with 32.6 months (95% CI = 18.39 to 143.9) for WT mice. (b) (i) SNCA oligomer ELISA standard curve. Levels of SNCA oligomer in (ii) striatal soluble lysates, and (iii) cortical soluble lysates from LRRK2R1441G KI mice and their age-matched WT controls determined by a sandwich-ELISA. Quantification of SNCA oligomer in samples was based on (i) a standard curve generated from purified recombinant SNCA oligomer standards (Figure S1). Data are expressed as mean ± S.E.M. Statistical significance at the level of *p < 0.05 and **p < 0.01, as compared to WT controls by post-hoc multiple comparison following two-way ANOVA. To specifically detect SNCA oligomers in striatal and cortical soluble lysates from KI and WT mice, we performed SNCA oligomer-specific ELISA using ‘A11’ as capturing antibody followed by detection of SNCA oligomers by a polyclonal HRP-conjugated SNCA antibody (Figure 1(b)(i)). Quantification of SNCA oligomers in sample lysates was based on a standard curve (Figure 1(b)(i)) generated from serial dilutions of recombinant SNCA oligomers, which were column-purified from the product mixture formed by an in vitro dopamine-induced oligomerization reaction of monomeric SNCA (Figure S2). In young (3-month old) WT and KI mice, there were no significant difference in the levels of SNCA oligomers in soluble lysates of cortex and striatum (Cortex: 17.8 ± 1.6 pg/mg for WT vs. 17.9 ± 2.2 pg/mg for KI; Striatum: 51.3 ± 2.8 pg/mg for WT vs. 47.6 ± 2.7 pg/mg for KI) (Figure 1(b)(ii)). However, the levels of SNCA oligomers increased by 30.7% in cortex and 53.2% in striatum of aged (18-month old) KI mice, as compared to the levels in age-matched WT mice (Cortex: 21.7 ± 0.9 pg/mg for WT vs. 28.4 ± 1.4 pg/mg for KI; Striatum: 41.3 ± 2.2 pg/mg for WT vs. 63.3 ± 1.8 pg/mg for KI; all p < 0.01). In addition, accumulation of SNCA oligomers in aged KI mouse striatum was demonstrated by significantly more SNCA oligomer staining using a SNCA oligomer-specific antibody ‘Syn33’ as compared with that in their age-matched WT littermates (Figure 2(a)). Furthermore, immuno-staining against total SNCA also revealed more granular structures deposited in the striatum of aged KI mice (Figure 2(b)). In contrast to aged animals, there was no observable difference in the staining pattern and intensity of SNCA between young (3-month old) WT and KI mouse brains (Figure 2(b)). Collectively, our findings from both ELISA and immunohistochemistry illustrated greater deposition of SNCA granules and oligomer formation in LRRK2 KI mouse brains with aging.
Figure 2.

Immunohistochemistry to SNCA oligomers and granules in aged WT and LRRK2R1441G KI mouse striatum. (a) Accumulation of SNCA oligomers in aged (18-month old) mouse dorsal striatum was demonstrated by immunostaining using a SNCA oligomer-specific antibody (‘Syn33’; Merck Millipore™, ABN2265). Aged (18-month old) LRRK2R1441G KI striatum showed significantly more SNCA oligomer staining (green), as compared with that in age-matched WT littermates. Neuronal cell bodies were counterstained by NeuroTrace™ Nissl staining (cyan). (b) More SNCA-positive granules (green; arrowheads) were also seen in aged (18-month old) LRRK2R1441G KI mouse striatum as compared with those in age-matched WT littermates by immunostaining using anti-SNCA [4D6] monoclonal antibody (Abcam™, ab1903). There was no observable difference in the staining pattern and intensity of SNCA in young (3-month old) WT and KI brains, indicating that SNCA aggregation increased with age in LRRK2R1441G KI mice. Magnification: 1 × 630.

Immunohistochemistry to SNCA oligomers and granules in aged WT and LRRK2R1441G KI mouse striatum. (a) Accumulation of SNCA oligomers in aged (18-month old) mouse dorsal striatum was demonstrated by immunostaining using a SNCA oligomer-specific antibody (‘Syn33’; Merck Millipore™, ABN2265). Aged (18-month old) LRRK2R1441G KI striatum showed significantly more SNCA oligomer staining (green), as compared with that in age-matched WT littermates. Neuronal cell bodies were counterstained by NeuroTrace™ Nissl staining (cyan). (b) More SNCA-positive granules (green; arrowheads) were also seen in aged (18-month old) LRRK2R1441G KI mouse striatum as compared with those in age-matched WT littermates by immunostaining using anti-SNCA [4D6] monoclonal antibody (Abcam™, ab1903). There was no observable difference in the staining pattern and intensity of SNCA in young (3-month old) WT and KI brains, indicating that SNCA aggregation increased with age in LRRK2R1441G KI mice. Magnification: 1 × 630.

Abnormal clustering of lysosomes in LRRK2R1441G knockin mouse embryonic fibroblasts and the aged brain striatum

Different cellular conditions cause a different distribution of lysosomes in the cytoplasm [40]. Clustering of lysosomes at the perinuclear region is a characteristic cellular response reflecting impaired degradation of aberrant proteins [41]. We examined whether LRRK2 mutation affected the cellular lysosome morphology in mutant MEFs and aged KI mice. MEFs carrying LRRK2R1441G mutation, which were cultured under normal conditions, demonstrated more perinuclear clustering of lysosomes stained with lysosome markers, LAMP1 and LAMP2A, without observable differences in cell morphology and viability compared with WT MEFs (Figure 3(a,b)). Similar clustering of lysosomes was also observed in aged (18-month old) LRRK2 KI mouse striatum, but was rarely seen in age-matched WT mice (Figure 3(c)), suggesting lysosomal dysfunction in aged LRRK2 KI mouse brains.
Figure 3.

Perinuclear clustering of lysosomes associated with LRRK2R1441G KI mutation. (a) Cell morphology of littermate-matched WT and LRRK2R1441G KI mouse embryonic fibroblasts (MEFs). (b) Lysosomes were visualized by immunofluorescence staining of lysosome marker protein, LAMP1 (red) and CMA-specific LAMP2A (green). LRRK2R1441G KI mutant MEFs cultured under normal condition showed more clustering of lysosomes at around perinuclear region (arrows) without observable change in gross cell morphology and viability. (c) Representative confocal photomicrographs showing more clustering of lysosomes (arrows) in the dorsal striatum of aged (18-month old) LRRK2R1441G KI mice but only rarely found in age-matched WT controls, suggesting impaired cellular protein degradation in LRRK2 KI mouse brains. Neuronal cell bodies were counterstained by NeuroTrace™ Nissl staining (cyan). Magnification: 1 × 630.

Perinuclear clustering of lysosomes associated with LRRK2R1441G KI mutation. (a) Cell morphology of littermate-matched WT and LRRK2R1441G KI mouse embryonic fibroblasts (MEFs). (b) Lysosomes were visualized by immunofluorescence staining of lysosome marker protein, LAMP1 (red) and CMA-specific LAMP2A (green). LRRK2R1441G KI mutant MEFs cultured under normal condition showed more clustering of lysosomes at around perinuclear region (arrows) without observable change in gross cell morphology and viability. (c) Representative confocal photomicrographs showing more clustering of lysosomes (arrows) in the dorsal striatum of aged (18-month old) LRRK2R1441G KI mice but only rarely found in age-matched WT controls, suggesting impaired cellular protein degradation in LRRK2 KI mouse brains. Neuronal cell bodies were counterstained by NeuroTrace™ Nissl staining (cyan). Magnification: 1 × 630.

Accumulation of CMA-specific lysosomal LAMP2A and HSPA8 in aged LRRK2R1441G KI mouse midbrain and striatum

Unlike LAMP1 which is a transmembrane marker protein expressed in all lysosomes, only those lysosomes which contain LAMP2A and HSPA8 are CMA-active [42]. Hence, the levels of membrane-bound LAMP2A and HSPA8 levels relative to LAMP1 reflect the number of CMA-active lysosomes. Given that lysosomal clustering was seen in LRRK2 KI cells, we determined whether accumulation of SNCA oligomers in aged KI murine brains was associated with perturbation of CMA-active lysosomes. We fractionated total tissue lysates from aged (18-month old) WT and KI mouse striatum and examined the relative amounts of membrane-bound and cytosolic LAMP2A and HSPA8 by western blotting. LAMP1 expression levels were similar between aged WT and KI mice. However, when compared with age-matched WT, aged KI mouse striatum had a significantly higher level of membranous LAMP2A (N = 11; p < 0.05) and HSPA8 (N = 11; p < 0.01) relative to LAMP1 (Figure 4(a)(i) and (ii)), indicating accumulation of LAMP2A- and HSPA8-containing complexes on the lysosomal membrane. In contrast, there was no difference in the levels of soluble LAMP2A and HSPA8 in the cytosol (N = 11) (Figure S3). To verify that CMA was perturbed in the LRRK2 KI mouse brains, we also measured the levels of GAPDH (a conventional CMA substrate) in these fractions. In the same striatal lysates where we found increased membranous LAMP2A and HSPA8, GAPDH levels were also significantly increased in both membrane (N = 6; p < 0.01) (Figure 4(a)(i) and (ii)) and cytosolic fractions (N = 11; p < 0.05) (Figure S3) of aged KI mice, suggesting CMA substrate accumulation due to impaired CMA.
Figure 4.

Increased levels of CMA-associated lysosomal LAMP2A, and HSPA8 protein in the striatum and ventral midbrain of aged LRRK2R1441G KI mice compared with those in age-matched WT mice. (a)(i) Whole mouse striatum was dissected and homogenized by sonication in cold PBS supplemented with a protease inhibitor cocktail (Sigma Aldrich™, 11836153001) to isolate the cytosolic fraction. The insoluble pellets consisting of total cellular membranous fraction were completely dissolved in 1% DDM (n-dodecyl-β-D-maltoside) for SDS-PAGE and western blotting, # indicates solubilized lysate from individual mice; (ii) Densitometry analysis of western blots showed that LAMP2A (N = 11), HSPA8 (N = 11) and a well-described CMA substrate, GAPDH (N = 6), were significantly increased in membranous fractions of mouse LRRK2R1441G KI striatum as compared to WT mice. (b) Freshly dissected ventral midbrains of aged WT and LRRK2R1441G KI mice were dissociated by papain to obtain single cell suspension, and were subsequently stained for LAMP2A and GAPDH using an excess amount of antibodies. (i and ii) Total cellular levels of LAMP2A in both WT and LRRK2R1441G KI mice were compared using flow cytometry based on the mean staining intensity (area under curve) of the protein. Ventral midbrain LAMP2A level in aged LRRK2R1441G KI mice was significantly higher as compared with that in their age-matched WT controls (N = 3). (iii) Relative amount of GAPDH in neurons was measured in flow cytometry after co-staining of GAPDH and neuronal marker protein TUBB3. The mean staining intensity (area under curve) of double-positive cell population (Q2) showed that GAPDH level was significantly higher in aged LRRK2R1441G KI mouse midbrain neurons (N = 6). Data are expressed as mean ± S.E.M. Statistical significance by unpaired t-test at the level of *p < 0.05 and **p < 0.01, as compared to WT controls. (c) Immunohistochemistry of LAMP2A in aged mouse striatum revealed abnormal lysosomal LAMP2A accumulation as shown in the form of bigger puncta (red) in LRRK2R1441G KI mice, suggesting perturbed CMA. Average puncta size calculation was based on random puncta images from aged WT and KI mouse striatum (N = 3), respectively. Statistical significance by unpaired Student’s t-test at the level of **p < 0.01, as compared to WT controls.

Increased levels of CMA-associated lysosomal LAMP2A, and HSPA8 protein in the striatum and ventral midbrain of aged LRRK2R1441G KI mice compared with those in age-matched WT mice. (a)(i) Whole mouse striatum was dissected and homogenized by sonication in cold PBS supplemented with a protease inhibitor cocktail (Sigma Aldrich™, 11836153001) to isolate the cytosolic fraction. The insoluble pellets consisting of total cellular membranous fraction were completely dissolved in 1% DDM (n-dodecyl-β-D-maltoside) for SDS-PAGE and western blotting, # indicates solubilized lysate from individual mice; (ii) Densitometry analysis of western blots showed that LAMP2A (N = 11), HSPA8 (N = 11) and a well-described CMA substrate, GAPDH (N = 6), were significantly increased in membranous fractions of mouse LRRK2R1441G KI striatum as compared to WT mice. (b) Freshly dissected ventral midbrains of aged WT and LRRK2R1441G KI mice were dissociated by papain to obtain single cell suspension, and were subsequently stained for LAMP2A and GAPDH using an excess amount of antibodies. (i and ii) Total cellular levels of LAMP2A in both WT and LRRK2R1441G KI mice were compared using flow cytometry based on the mean staining intensity (area under curve) of the protein. Ventral midbrain LAMP2A level in aged LRRK2R1441G KI mice was significantly higher as compared with that in their age-matched WT controls (N = 3). (iii) Relative amount of GAPDH in neurons was measured in flow cytometry after co-staining of GAPDH and neuronal marker protein TUBB3. The mean staining intensity (area under curve) of double-positive cell population (Q2) showed that GAPDH level was significantly higher in aged LRRK2R1441G KI mouse midbrain neurons (N = 6). Data are expressed as mean ± S.E.M. Statistical significance by unpaired t-test at the level of *p < 0.05 and **p < 0.01, as compared to WT controls. (c) Immunohistochemistry of LAMP2A in aged mouse striatum revealed abnormal lysosomal LAMP2A accumulation as shown in the form of bigger puncta (red) in LRRK2R1441G KI mice, suggesting perturbed CMA. Average puncta size calculation was based on random puncta images from aged WT and KI mouse striatum (N = 3), respectively. Statistical significance by unpaired Student’s t-test at the level of **p < 0.01, as compared to WT controls. As our results of increased striatal membranous LAMP2A levels appeared contradictory to the belief that LAMP2A levels reflect CMA activity, we verified our findings by measuring the amounts of LAMP2A in ventral midbrain whole cell suspension freshly dissociated from KI and WT mice using flow cytometry. Briefly, the ventral midbrain region of both aged WT and KI mice were dissected and dissociated to obtain total viable cell suspensions (Figure 4(b)(i)). These cell suspensions were stained by an excess amount of anti-LAMP2A which then was conjugated with red fluorescence. The resultant fluorescent intensity in cell suspensions, which is proportional to the amount of total cellular LAMP2A, was gated and measured by flow cytometry (Figure 4(b)(i) and (ii)). Our results showed that the mean intensity of red fluorescence in KI cells was significantly greater than the mean intensity in WT cells by 54% (N = 3; p < 0.01), indicating that the amount of total cellular LAMP2A in aged LRRK2 KI ventral midbrain cells was significantly higher than WT mice (Figure 4(b)(ii)). In addition to LAMP2A, we determined the relative amount of GAPDH in the same cell suspensions by staining with excess amount of primary antibody against GAPDH. These cells were co-stained with a neuron-specific marker protein, TUBB3/TUJ1 (neuron-specific class III β-tubulin), which enabled differentiation of GAPDH staining in neurons from other cell types (double-positive cells gated in Q2; Figure 4(b)(iii)). Our results showed that the mean staining intensity of GAPDH was significantly higher in aged KI mouse midbrain neurons by 33.9% (N = 6; p < 0.01) as compared to WT cells (Figure 4(b)(iii)). This finding confirmed the increase of GAPDH levels found in the aged KI striatal membrane fractions by western blots (Figure 4(a)(ii)). Furthermore, we performed immunohistochemistry to visualize accumulation of LAMP2A in aged KI mouse dorsal striatum. LAMP2A-positive lysosomes were found throughout the whole region in both neurons (Nissl-positive) and non-neuronal (Nissl-negative) cells. However, compared with that present in age-matched WT mice, KI striatum demonstrated abnormal accumulation of LAMP2A in the form of significantly larger puncta in KI mice (N = 3; p < 0.01), indicating LAMP2A aggregation on LRRK2 KI mouse brain lysosomes (Figure 4(c)).

Development of a photoactivatable fluorescence-based cell assay to determine the rate of cellular substrate protein clearance

Our observation of abnormal clustering of lysosomes, accumulation of membranous LAMP2A and HSPA8, and the CMA substrate GAPDH proteins in LRRK2 mutant mouse striatum suggested that cellular CMA-associated lysosomal degradation may be impaired in cells with the mutation. Since CMA contributes to endogenous SNCA degradation, we compared the rate of SNCA clearance in WT and LRRK2 KI cells. We developed a new cell-based assay using MEFs to monitor the rate of cellular clearance of two artificial substrate protein constructs, one encoding for full-length SNCA (pSIN-PAmCherry-SNCA-NE) and the other a 20-amino acid peptide segment from mouse ribonuclease A (RNase A) which consists of a CMA recognition motif – ‘KFERQ’ (pSIN-PAmCherry-KFERQ-NE). MEFs were isolated from littermates of either WT or LRRK2 KI mouse embryos, and were transduced with lentivirus to drive the cells to express either SNCA or ‘KFERQ’-peptide conjugated with photoactivatable PAmCherry and a protein tag designated as ‘NE’ (Figure 5(a)). ‘NE’ is a novel synthetic 18-amino-acid epitope tag for specific immuno-detection and quantification [43-45]. These transduced MEFs were FACS-sorted and selected in culture with puromycin to ensure stable expression of the target substrate protein. After transduction, expression of either, (i) PAmCherry-SNCA-NE (27 + 14 + 2 = 43 kDa) or (ii) PAmCherry-KFERQ-NE (27 + 1 + 2 = 30 kDa) protein in the total cell lysates were confirmed by western blots against mCherry, SNCA, and NE tag expression simultaneously (Figure 5(b)). Immunocytochemistry against NE tag also confirmed expression of PAmCherry-SNCA-NE protein in both WT and KI MEFs (Figure 5(c)).
Figure 5.

Development of a photoactivatable fluorescence-based cell culture model to determine rate of cellular clearance of SNCA and a CMA-specific KFERQ-peptide. (a) Wildtype or LRRK2R1441G KI mutant mouse embryonic fibroblasts (MEFs) were transduced with lentivirus for 5 days to express either full-length SNCA or KFERQ-peptide conjugated with photoactivatable PAmCherry protein and a novel protein tag ‘NE’ for detection. (b) Expression of correct target protein was confirmed in each MEF clones by western blotting based on verification of their corresponding protein size using antibodies against SNCA, mCherry, and NE. (c) PAmCherry-SNCA-NE protein expressed in both WT and LRRK2R1441G KI mutant MEF(s) was visualized by immunocytochemistry against NE tag (green); Magnification: 1 × 630. (d) MEF(s) expressing SNCA or KFERQ-peptide were exposed to UV-A (405 nm) for 5 min to induce mCherry fluorescence emission. Magnification: 1 × 40.

Development of a photoactivatable fluorescence-based cell culture model to determine rate of cellular clearance of SNCA and a CMA-specific KFERQ-peptide. (a) Wildtype or LRRK2R1441G KI mutant mouse embryonic fibroblasts (MEFs) were transduced with lentivirus for 5 days to express either full-length SNCA or KFERQ-peptide conjugated with photoactivatable PAmCherry protein and a novel protein tag ‘NE’ for detection. (b) Expression of correct target protein was confirmed in each MEF clones by western blotting based on verification of their corresponding protein size using antibodies against SNCA, mCherry, and NE. (c) PAmCherry-SNCA-NE protein expressed in both WT and LRRK2R1441G KI mutant MEF(s) was visualized by immunocytochemistry against NE tag (green); Magnification: 1 × 630. (d) MEF(s) expressing SNCA or KFERQ-peptide were exposed to UV-A (405 nm) for 5 min to induce mCherry fluorescence emission. Magnification: 1 × 40. After confirming the expression of the target proteins with correct expected sizes (i.e. PAmCherry-SNCA-NE and PAmCherry-KFERQ-NE), these stably transduced MEFs were exposed under UV-A lamp (405 nm) for 5 min to induce photoactivation of PAmCherry-conjugated proteins. Cells prior to and after photoactivation were examined under fluorescent microscopy to monitor transduction efficiency. There were no observable fluorescent signals shown in all transduced cells before photoactivation (Figure 5(d)). However, these cells emitted intense red (i.e. PAmCherry) fluorescence immediately after photoactivation (i.e. t = 0) (Figure 5(d)), indicating expression of target PAmCherry-conjugated proteins (i.e. PAmCherry-SNCA-NE or PAmCherry-KFERQ-NE). The initial fluorescence intensity after photoactivation reflects the basal level of substrate proteins for subsequent cellular degradation and clearance. As the photoactivated proteins were gradually metabolized by the cells, the levels of cellular fluorescence declined over time. This decline was quantified using flow cytometry. The initial intensity of photoactivated PAmCherry fluorescence increased significantly in both WT and KI MEFs after photoactivation (i.e. t = 0), as compared with their corresponding control cells before photoactivation (N = 7; all p < 0.01) (Figure S4). There was no significant difference in the initial fluorescence intensity between WT and KI MEFs expressing either PAmCherry-SNCA-NE or PAmCherry-KFERQ-NE (Figure S4). We stably expressed PAmCherry-KFERQ-NE in MEFs as a CMA target substrate for monitoring cellular clearance in parallel with clearance of SNCA, which is also a known CMA substrate. To demonstrate that PAmCherry-KFERQ-NE is a valid reference CMA substrate, we performed co-immunoprecipitation experiments to demonstrate CMA substrate recognition by HSPA8. Results from immunoprecipitation studies showed that PAmCherry-KFERQ-NE protein was co-immunoprecipitated with HSPA8, indicating CMA substrate recognition by HSPA8 (Figure S5). Such binding with HSPA8 was not observed in cells expressing a non-CMA substrate, (PAmCherry-KFSDA-NE), where the CMA recognition motif was mutated (‘KFERQ’→”KFSDA”). These results indicate that ‘KFERQ’ pentapeptide in the PAmCherry-KFERQ-NE substrate protein sequence is critical for recognition by CMA-specific degradation.

Slower rate of cellular clearance of SNCA and CMA-specific substrate peptide in LRRK2R1441G mutant mouse embryonic fibroblasts

In order to address whether the accumulation of SNCA oligomer in aged KI mice was associated with impaired cellular protein degradation, we measured the rate of cellular clearance of SNCA using the photoactivatable fluorescence-based cell assay described above. Both WT and KI MEFs stably expressing either PAmCherry-SNCA-NE or PAmCherry-KFERQ-NE were fixed and collected immediately after photoactivation. After determining the basal levels of substrate protein, the mean intensities of PAmCherry fluorescence in each of the WT and KI cells was determined at different time points (0, 12, 24, 48 h) after photoactivation in order to establish the rate of cellular clearance of either PAmCherry-SNCA-NE (Figure 6(a)) or PAmCherry-KFERQ-NE (Figure 6(b)). The rate of total cellular clearance was expressed as a percentage of PAmCherry fluorescence intensity that remained in WT and KI MEFs compared to their respective basal levels at t = 0. Our results showed that the clearance rate of SNCA conjugates over 48 h in KI MEFs measured as percentage decline of fluorescence per hour in culture was significantly lower than WT [WT: −0.935% per hour (t1/2: 49.9 h) vs. KI: −0.671% per hour (t1/2: 73.6 h) [two-way ANOVA; F(1,24) = 17.93, p < 0.001]. Levels of photoactivated SNCA conjugates in KI MEFs were significantly higher than those which remained in WT cells at both 24 and 48 h (N = 5; all p < 0.01). Similarly, the clearance rate of ‘KFERQ’-peptide in KI MEFs was also significantly lower than the rate in WT (WT: −1.154 ± 0.086% per hour vs. KI: −0.759 ± 0.09% per hour) [two-way ANOVA; F(1,64) = 39.36, p < 0.001]. Similar to SNCA conjugates, levels of photoactivated ‘KFERQ’-peptide in KI MEFs were significantly higher than those which remained in WT cells at both 24 and 48 h (N = 8; all p < 0.01). Furthermore, similar clearance assays in WT and KI MEFs expressing PAmCherry-KFSDA-NE (mutated ‘KFERQ’ pentapeptide) showed that the clearance rate of this non-CMA substrate protein was similar between WT and KI cells (Figure 6(c)).
Figure 6.

LRRK2R1441G KI mutant MEFs catabolize SNCA and ‘KFERQ’ substrate peptide more slowly because of impaired LAMP2A-mediated protein clearance. Representative flow cytometry intensity plots of photoactivated WT and LRRK2 KI MEFs harvested at different time points for (a) SNCA; (b) ‘KFERQ’ substrate peptide; and (c) ‘KFSDA’ (‘KFERQ’ mutant) substrate peptide. The rate of protein catabolism was expressed as time-dependent change in levels of PAmCherry fluorescence in both WT and mutant MEFs compared with the level at time t = 0. LRRK2R1441G KI mutant cells have a significantly lower rate of cellular protein clearance as compared with that of WT cells (N = 5–8). Data are expressed as mean ± S.E.M. **p < 0.01 represents statistical significance as compared to WT MEFs at the respective time points by post-hoc multiple comparisons after two-way ANOVA.

LRRK2R1441G KI mutant MEFs catabolize SNCA and ‘KFERQ’ substrate peptide more slowly because of impaired LAMP2A-mediated protein clearance. Representative flow cytometry intensity plots of photoactivated WT and LRRK2 KI MEFs harvested at different time points for (a) SNCA; (b) ‘KFERQ’ substrate peptide; and (c) ‘KFSDA’ (‘KFERQ’ mutant) substrate peptide. The rate of protein catabolism was expressed as time-dependent change in levels of PAmCherry fluorescence in both WT and mutant MEFs compared with the level at time t = 0. LRRK2R1441G KI mutant cells have a significantly lower rate of cellular protein clearance as compared with that of WT cells (N = 5–8). Data are expressed as mean ± S.E.M. **p < 0.01 represents statistical significance as compared to WT MEFs at the respective time points by post-hoc multiple comparisons after two-way ANOVA.

Lysosomal dysfunction and impairment in CMA-associated substrate degradation in LRRK2R1441G mutant mouse embryonic fibroblasts

We next addressed whether the lower rate of substrate clearance in LRRK2 KI cells was due to CMA impairment. Both WT and KI MEFs expressing ‘KFERQ’-peptide were transfected with siRNA(s) to mediate knockdown of LAMP2A expression. After 72-h transfection of siRNA(s), total cellular LAMP2A levels as determined by western blots were significantly reduced in both WT (N = 4; p < 0.01) and KI cells (N = 4; p < 0.05), as compared to their corresponding control cells transfected with scrambled control siRNA (Figure 7(a)). After LAMP2A knockdown, the cells were photoactivated and their rates of substrate clearance were determined by percentage decline of fluorescence per hour in culture over 48 h by the same method as described above. LAMP2A knockdown in WT cells caused a significant decrease in the clearance rate of PAmCherry-KFERQ-NE [WT with LAMP2A knockdown: −1.065% per hour (t1/2: 44.7 h) vs. WT without LAMP2A knockdown: −1.3425% per hour (t1/2: 35.8 h)] (N = 4; p < 0.01). However, LAMP2A knockdown in LRRK2 KI cells did not cause significant difference in the substrate clearance rate [KI with LAMP2A knockdown: −0.858% per hour (t1/2: 52.9 h) vs. KI without LAMP2A knockdown: −0.815% per hour (t1/2: 59.5 h)], indicating that LAMP2A-mediated protein degradation was lacking in LRRK2 KI cells (Figure 7(b)).
Figure 7.

LAMP2A-specific CMA protein degradation was not observed in LRRK2R1441G KI mutant MEF(s). (a) Total cellular LAMP2A protein expression was knocked down by transfection of siRNA(s) for 72 h and confirmed by western blots. (b) The clearance rate of CMA-specific KFERQ substrate peptide was significantly decreased in WT MEFs after LAMP2A knockdown (N = 4; p < 0.01). However, similar decrease was not observed in KI MEFs after LAMP2A knockdown, indicating that CMA-specific protein degradation was impaired in LRRK2 mutant cells. (c) LAMP2A knockdown in WT MEFs caused a significant decrease in ‘KFERQ’ substrate clearance as compared with its corresponding control cells transfected with scrambled negative siRNA (N = 4; p < 0.01). Such LAMP2A knockdown-induced decrease was not observed when ‘KFERQ’ recognition motif was mutated (i.e. ‘KFSDA’). Data are expressed as mean ± S.E.M. Statistical significance was calculated by post-hoc multiple comparisons after two-way ANOVA at the level of **p < 0.01 as compared to its corresponding group transfected with scrambled siRNA (N = 3). (d) Total lysosomal activity was measured by an enzymatic assay kit based on degradation of a self-quenched lysosomal substrate followed by flow cytometry. Lysosomal activity in WT MEFs was significantly higher than in LRRK2R1441G KI mutant cells. LAMP2A knockdown significantly decreased total lysosomal activity in WT MEF(s), but not in LRRK2R1441G KI mutant cells. Data are expressed as mean ± S.E.M. Statistical significance was calculated by unpaired Student’s t-test at the level of **p < 0.01 between two comparing groups. ‘NS’ indicates no statistical significance between the two designated groups.

LAMP2A-specific CMA protein degradation was not observed in LRRK2R1441G KI mutant MEF(s). (a) Total cellular LAMP2A protein expression was knocked down by transfection of siRNA(s) for 72 h and confirmed by western blots. (b) The clearance rate of CMA-specific KFERQ substrate peptide was significantly decreased in WT MEFs after LAMP2A knockdown (N = 4; p < 0.01). However, similar decrease was not observed in KI MEFs after LAMP2A knockdown, indicating that CMA-specific protein degradation was impaired in LRRK2 mutant cells. (c) LAMP2A knockdown in WT MEFs caused a significant decrease in ‘KFERQ’ substrate clearance as compared with its corresponding control cells transfected with scrambled negative siRNA (N = 4; p < 0.01). Such LAMP2A knockdown-induced decrease was not observed when ‘KFERQ’ recognition motif was mutated (i.e. ‘KFSDA’). Data are expressed as mean ± S.E.M. Statistical significance was calculated by post-hoc multiple comparisons after two-way ANOVA at the level of **p < 0.01 as compared to its corresponding group transfected with scrambled siRNA (N = 3). (d) Total lysosomal activity was measured by an enzymatic assay kit based on degradation of a self-quenched lysosomal substrate followed by flow cytometry. Lysosomal activity in WT MEFs was significantly higher than in LRRK2R1441G KI mutant cells. LAMP2A knockdown significantly decreased total lysosomal activity in WT MEF(s), but not in LRRK2R1441G KI mutant cells. Data are expressed as mean ± S.E.M. Statistical significance was calculated by unpaired Student’s t-test at the level of **p < 0.01 between two comparing groups. ‘NS’ indicates no statistical significance between the two designated groups. After having shown by co-immunoprecipitation that ‘KFERQ’ pentapeptide in the PAmCherry-KFERQ-NE substrate protein sequence is critical for recognition by CMA-specific degradation (Figure S5), we then determined whether mutation of ‘KFERQ’ to abolish the CMA recognition motif would affect the rate of clearance in WT MEFs expressing this mutant PAmCherry-KFSDA-NE substrate protein. After ‘KFERQ’ was mutated, LAMP2A knockdown did not affect the rate of substrate clearance (Figure 7(c)), indicating that LAMP2A was involved in ‘KFERQ’ substrate clearance. To verify that lysosomal degradation of CMA substrate was impaired in LRRK2 KI MEF(s), we employed a second independent flow cytometry method to measure changes in total lysosomal degradation activity in WT and KI MEFs after LAMP2A knockdown. This assay is based on measurements of fluorescence emitted after degradation of a self-quenched lysosomal substrate in the cells followed by flow cytometry. We compared the total lysosomal activity between WT and KI cells under normal condition. We showed that LRRK2 KI MEFs exhibited significantly lower lysosomal activity than the WT cells. Defective lysosomal activity in KI MEFs was shown by comparing WT (column 1) and KI (column 3) cells under normal condition (↓33.3%; p < 0.01 by unpaired Student’s t-test) (Figure 7(d)). Since this observed decrease in total lysosomal activity in LRRK2 KI cells may not only be due to CMA impairment, we performed siRNA transfection to knockdown LAMP2A expression in order to assess the contribution of CMA-specific degradation relative to total lysosomal degradation. Knockdown of LAMP2A expression in WT cells caused a significant decrease (↓16.0%; p < 0.01 by unpaired t-test) in total lysosomal activity, indicating that such percentage decrease was contributed by LAMP2A-specific CMA. In contrast to WT cells, LAMP2A knockdown in LRRK2 KI cells did not have a significant effect on the overall lysosomal activity (Figure 7(d)). To address whether the decrease in fluorescence of PAmCherry-KFERQ-NE was due to lysosomal degradation, we performed clearance assays on WT and KI MEFs treated with two lysosomal inhibitors, bafilomycin A1 or CQ (chloroquine). The relative contribution of lysosomal degradation in WT and KI cells was determined by decrease in percentage substrate clearance after lysosomal inhibition at 48 h after photoactivation (bafilomycin A1: N = 3; all p < 0.01; CQ: N = 4; all p < 0.01 by post-hoc comparisons after two-way ANOVA) (Figure 8(a,b)). In agreement with the lower lysosomal activity in KI cells as assayed above, we consistently observed a lower relative contribution of lysosomal degradation to overall protein degradation in KI than WT MEFs after independent treatment with two lysosomal inhibitors: bafilomycin A1-sensitive lysosomal degradation: WT (29%) vs KI (17%); CQ-sensitive lysosomal degradation: WT (41%) vs KI (29%) (Figure 8(a,b)). Furthermore, we also compared the contribution of macroautophagy on substrate clearance in WT and KI MEFs. There was no significant difference in the contribution of macroautophagy on ‘KFERQ’ substrate degradation between WT and KI MEFs after treatment with macroautophagy inhibitor, 3-MA (3-methyladenine) [3-MA-sensitive degradation: WT (24%) vs KI (22%); N = 4] (Figure S6).
Figure 8.

Lower relative contribution of lysosomal degradation of ‘KFERQ’-like substrate (as a percentage of total cellular protein clearance) in LRRK2R1441G KI MEFs. Representative flow cytometry intensity plots of photoactivated WT and KI MEFs collected at different time points after treated with either (a) (i and ii) bafilomycin A1 (100 nM) or (b) (i and ii) chloroquine (CQ; 20 μM) to determine specific reduction in overall clearance due to lysosomal inhibition. The time-dependent clearance of ‘KFERQ’-substrates in both WT and KI MEFs with and without lysosomal inhibition were determined as compared with their corresponding levels of PAmCherry at t = 0, expressed as a percentage. The relative contribution of lysosomal degradation in the overall substrate clearance was determined by the percentage difference between the inhibitor-treated and its corresponding untreated control cells at 48 h. Data are expressed as mean ± S.E.M. **p < 0.01 and *p < 0.05 represent statistical significance between two designated groups at 48 h by post-hoc multiple comparisons after two-way ANOVA.

Lower relative contribution of lysosomal degradation of ‘KFERQ’-like substrate (as a percentage of total cellular protein clearance) in LRRK2R1441G KI MEFs. Representative flow cytometry intensity plots of photoactivated WT and KI MEFs collected at different time points after treated with either (a) (i and ii) bafilomycin A1 (100 nM) or (b) (i and ii) chloroquine (CQ; 20 μM) to determine specific reduction in overall clearance due to lysosomal inhibition. The time-dependent clearance of ‘KFERQ’-substrates in both WT and KI MEFs with and without lysosomal inhibition were determined as compared with their corresponding levels of PAmCherry at t = 0, expressed as a percentage. The relative contribution of lysosomal degradation in the overall substrate clearance was determined by the percentage difference between the inhibitor-treated and its corresponding untreated control cells at 48 h. Data are expressed as mean ± S.E.M. **p < 0.01 and *p < 0.05 represent statistical significance between two designated groups at 48 h by post-hoc multiple comparisons after two-way ANOVA.

Reduced lysosomal activity in LRRK2R1441G mutant mouse embryonic fibroblasts can be modulated by specific CMA activator

AR7 [7-Chloro-3-(4-methylphenyl)-2H-1,4-benzoxazine] is an atypical RARA/RARα (retinoic acid receptor, alpha) antagonist which was shown to specifically activate CMA activity [46]. We first verified its effect to induce CMA by treating both WT and KI MEFs stably expressing photoactivated PAmCherry-KFERQ-NE with AR7 (0.25 μM) in normal complete culture medium for 16 h (Figure 9(a)(i)). The PAmCherry-KFERQ-NE protein in both untreated WT and KI control cells as seen after photoactivation was expressed throughout the cytoplasm without obvious visible puncta formation. AR7 treatment for 16 h caused puncta formation in both WT and KI MEFs (Figure 9(a)(ii)). Formation of intracellular puncta carrying PAmCherry fluorescence indicates transport of substrate into lysosomes upon CMA activation. We observed similar puncta formation in parallel groups of cells following serum withdrawal (Figure 9(a)(ii)), which is well-known cellular event indicating CMA activation [47].
Figure 9.

Treatment with RARA antagonist, AR7, increased lysosomal activity in WT and LRRK2R1441G KI mutant MEFs. (a) Treatment of CMA activator, AR7 (RARA antagonist) induced lysosomal accumulation (as visualized in form of puncta) of CMA substrate in MEFs. WT and KI MEFs stably expressing PAmCherry-KFERQ-NE were treated with AR7 for 16 h in complete culture medium. In parallel control groups, MEFs were cultured in serum-free medium (i.e. serum deprivation/starvation), which is known to induce CMA. Cells were photoactivated after treatment and observed under fluorescence microscopy for puncta (arrowheads) formation. (b) (i) Pre-incubation of CMA activator, AR7 (20 μM), significantly increased the total lysosomal activity in both WT and LRRK2R1441G KI mutant MEFs expressing either (ii) SNCA or (iii) KFERQ-peptide, as compared with their corresponding untreated groups (N = 4). LRRK2R1441G KI MEF(s) have lower overall lysosomal degradation activity as compared with that of WT controls. Data are expressed as mean ± S.E.M. Statistical significance at *p < 0.05 and **p < 0.01 between two designated groups by unpaired Student’s t-test.

Treatment with RARA antagonist, AR7, increased lysosomal activity in WT and LRRK2R1441G KI mutant MEFs. (a) Treatment of CMA activator, AR7 (RARA antagonist) induced lysosomal accumulation (as visualized in form of puncta) of CMA substrate in MEFs. WT and KI MEFs stably expressing PAmCherry-KFERQ-NE were treated with AR7 for 16 h in complete culture medium. In parallel control groups, MEFs were cultured in serum-free medium (i.e. serum deprivation/starvation), which is known to induce CMA. Cells were photoactivated after treatment and observed under fluorescence microscopy for puncta (arrowheads) formation. (b) (i) Pre-incubation of CMA activator, AR7 (20 μM), significantly increased the total lysosomal activity in both WT and LRRK2R1441G KI mutant MEFs expressing either (ii) SNCA or (iii) KFERQ-peptide, as compared with their corresponding untreated groups (N = 4). LRRK2R1441G KI MEF(s) have lower overall lysosomal degradation activity as compared with that of WT controls. Data are expressed as mean ± S.E.M. Statistical significance at *p < 0.05 and **p < 0.01 between two designated groups by unpaired Student’s t-test. As we found defective lysosomal activity in LRRK2 KI cells, we explored whether AR7 treatment could increase lysosomal activity (Figure 9(b)(i)). WT and KI MEF(s) expressing either PAmCherry-SNCA-NE (Figure 9(b)(ii)) or PAmCherry-KFERQ-NE (Figure 9(b)(iii)) were pre-incubated with AR7 (20 μM) for 1 h before the self-quenched lysosomal substrate was added into the culture medium. Fluorescence emitted by de-quenched substrate as a result of lysosomal degradation after AR7 treatment in both WT and KI MEFs was significantly higher than their corresponding untreated control cells (N = 4; all p < 0.05), indicating that AR7 treatment increased cellular lysosomal activity in both WT and KI cells (Figure 9(b)(ii) and (iii)).

Treatment with specific CMA activator attenuated intracellular and extracellular accumulation of SNCA oligomers in LRRK2R1441G KI primary neurons

We found that increased SNCA oligomer levels in aged LRRK2R1441G KI mouse brains were associated with abnormal lysosomal morphology and slower rate of cellular clearance of SNCA. We also found that lysosomal degradation of CMA substrate was impaired in LRRK2 KI cells. Therefore, we explored whether activation of CMA in prolonged culture of primary cortical neurons could prevent the buildup of SNCA oligomers. Matured primary cortical neurons (DIV9) from both WT and KI mice were treated with graded doses of AR7 (0, 10, 20 μM) twice over 21 days (i.e. at DIV9 and DIV14) under normal culture condition (Figure 10(a)). Cell morphology of both WT and KI cells over 21 days of culture were similar after AR7 treatment at 20 μM (Figure 10(a)(i)) without causing significant neuronal cell death as shown by LDH (lactate dehydrogenase) release assay (Figure S7). To determine the levels of SNCA oligomer in both WT and KI neurons at DIV9, 14 and 21, cells treated with AR7 were freshly sonicated in cold PBS with protease inhibitors to extract total soluble SNCA oligomers. The conditioned media at each corresponding time points were collected in parallel. Using our oligomer-specific ELISA, the levels of SNCA oligomer in both vehicle-treated WT and KI cultures increased gradually from DIV9 to DIV21 (WTDIV9: 0.084 ± 0.01 pg/μg total protein; WTDIV14: 0.1218 ± 0.01 pg/μg total protein; WTDIV21: 0.1578 ± 0.02 pg/μg total protein; KIDIV9: 0.1818 ± 0.04 pg/μg total protein; KIDIV14: 0.2185 ± 0.05 pg/μg total protein; KIDIV21: 0.2698 ± 0.09 pg/μg total protein) (Figure 10(a)(ii)). Similar increases in SNCA oligomer were observed in their corresponding extracellular conditioned media (N = 3; all p < 0.05) (Figure 10(a)(iii)). Furthermore, the intracellular oligomer levels in KI neurons were significantly higher than those in WT at all three time points from DIV9 to DIV21 by 216%, 179%, and 171%, respectively (N = 5; all p < 0.05; post-hoc multiple comparison after two-way ANOVA) (Figure 10(a)(ii)). These results in cultured primary neurons were consistent with increased SNCA oligomer levels found in our aged mutant LRRK2 mouse striatum (Figures 1(a) and 2).
Figure 10.

Treatment of CMA activator AR7 dose-dependently reduced intracellular and extracellular SNCA oligomer levels in LRRK2R1441G KI mutant primary cortical neurons. (a) (i) Primary cortical neurons (DIV9) from WT and LRRK2R1441G KI mutant mice were cultured with or without AR7 at 0, 10, or 20 μM. (i) Treatment of AR7 in primary cortical neurons from DIV9 to DIV21 did not cause severe cell morphological changes, and cytotoxicity (Figure S7). (ii-iii) Total cell lysates and the corresponding conditioned media were collected at different time points (DIV9, 14, and 21) to measure the levels of SNCA oligomer by ELISA. LRRK2R1441G KI primary neurons have significantly higher level of SNCA oligomers than WT neurons at all time points. Treatment of AR7 significantly prevented accumulation of both intracellular and extracellular SNCA oligomers in LRRK2R1441G KI primary neurons. Data are expressed as mean ± S.E.M. Statistical significance is shown by post-hoc multiple comparison following two-way ANOVA at the level of *p < 0.05 and **p < 0.01, as compared to WT controls at its corresponding time points; and #p < 0.05 and ##p < 0.01 as compared to untreated KI controls at its corresponding time point. (b) (i) Total cellular levels of SNCA, LAMP2A and HSPA8 at different time points (DIV9, 14, and 21) were determined by western blots. There was no significant difference in the levels of (ii) total SNCA between WT and KI neurons. Treatment of AR7 significantly reduced total intracellular SNCA in both WT and LRRK2R1441G KI neurons, as compared to their corresponding vehicle-treated control groups (N = 4). AR7 treatment in 24 h dose-dependently induced (iii) Lamp2a mRNA expression in both WT and KI cells (N = 3). However, no significant change in levels of total cellular (iv) LAMP2A and (v) HSPA8 protein was observed in both WT and KI cultures with AR7 treatment at DIV21. Statistical significance is shown at the level of *p < 0.05 and **p < 0.01, as compared to their corresponding vehicle-treated control groups by post-hoc multiple comparison following two-way ANOVA.

Treatment of CMA activator AR7 dose-dependently reduced intracellular and extracellular SNCA oligomer levels in LRRK2R1441G KI mutant primary cortical neurons. (a) (i) Primary cortical neurons (DIV9) from WT and LRRK2R1441G KI mutant mice were cultured with or without AR7 at 0, 10, or 20 μM. (i) Treatment of AR7 in primary cortical neurons from DIV9 to DIV21 did not cause severe cell morphological changes, and cytotoxicity (Figure S7). (ii-iii) Total cell lysates and the corresponding conditioned media were collected at different time points (DIV9, 14, and 21) to measure the levels of SNCA oligomer by ELISA. LRRK2R1441G KI primary neurons have significantly higher level of SNCA oligomers than WT neurons at all time points. Treatment of AR7 significantly prevented accumulation of both intracellular and extracellular SNCA oligomers in LRRK2R1441G KI primary neurons. Data are expressed as mean ± S.E.M. Statistical significance is shown by post-hoc multiple comparison following two-way ANOVA at the level of *p < 0.05 and **p < 0.01, as compared to WT controls at its corresponding time points; and #p < 0.05 and ##p < 0.01 as compared to untreated KI controls at its corresponding time point. (b) (i) Total cellular levels of SNCA, LAMP2A and HSPA8 at different time points (DIV9, 14, and 21) were determined by western blots. There was no significant difference in the levels of (ii) total SNCA between WT and KI neurons. Treatment of AR7 significantly reduced total intracellular SNCA in both WT and LRRK2R1441G KI neurons, as compared to their corresponding vehicle-treated control groups (N = 4). AR7 treatment in 24 h dose-dependently induced (iii) Lamp2a mRNA expression in both WT and KI cells (N = 3). However, no significant change in levels of total cellular (iv) LAMP2A and (v) HSPA8 protein was observed in both WT and KI cultures with AR7 treatment at DIV21. Statistical significance is shown at the level of *p < 0.05 and **p < 0.01, as compared to their corresponding vehicle-treated control groups by post-hoc multiple comparison following two-way ANOVA. To investigate if CMA activation could reduce accumulation of SNCA oligomers in KI neurons, we treated both WT and KI neurons twice with two different doses (10 and 20 μM in 0.01% DMSO) of AR7 and measured their corresponding changes in SNCA oligomer levels over 21 days in culture. AR7 was added into the culture medium at both DIV9 and DIV14 to ensure that sufficient amounts of active AR7 remained in the medium over the entire period of treatment. In KI primary neurons, AR7 treatment significantly reduced intra- and extracellular SNCA oligomer levels in a dose-dependent manner. In particular, at DIV21, the amount of intracellular oligomers in KI neurons treated with AR7 (at 20 μM) were markedly reduced by 44% compared to vehicle-treated KI (N = 5; p < 0.05) to levels that were comparable to those in vehicle-treated WT at DIV21 (Figure 10(a)(ii)). Similar reduction of oligomer levels were observed in extracellular conditioned media of KI cultures, where the amount of extracellular SNCA oligomers in AR7-treated (20 μM) KI neurons approached those observed in vehicle-treated WT culture media (N = 3; p < 0.05) (Figure 10(a)(iii)). These findings demonstrated that prolonged culture with AR7 can significantly attenuate intra- and extracellular accumulation of SNCA oligomers in LRRK2 KI neurons. In contrast to KI neurons, we observed a different response to AR7 treatment in WT neurons. As compared with the vehicle-treated WT neurons, AR7 treatments did not cause significant reduction in the intracellular levels of SNCA oligomer (Figure 10(a)(ii)). In particular, WT cells treated with AR7 at higher dose of 20 μM showed an unexpected increase in levels of SNCA oligomer compared with vehicle-treated control neurons at DIV21 (N = 7; p < 0.01; Mann-Whitney non-parametric analysis and unpaired Student’s t test). We also measured the corresponding change in the levels of total SNCA and two CMA-specific proteins, LAMP2A and HSPA8, in these AR7 treated cultures by western blots. In both WT and KI vehicle-treated neurons, total intracellular SNCA levels gradually increased from DIV9 to DIV21, although there was no significant difference between WT and KI cells over 21 days of cultures (Figure 10(b)(ii)). Initial dose of 20 μM AR7 administered on DIV9 did not affect the total SNCA levels in both WT and KI cultures as measured on DIV14. However, after second dose of AR7 given at DIV14, we observed a significant decrease in the total SNCA levels compared with the levels in their corresponding vehicle-treated control groups at DIV21 in both WT (N = 4; p < 0.01) and KI (N = 4; p < 0.05) cultures. Although AR7 treatment (10, 20 μM) in both WT and KI cells for 24 h dose-dependently induced Lamp2a mRNA expression (N = 3) (Figure 10(b)(iii)), we did not observe sustained elevation of cellular LAMP2A and HSPA8 protein levels after prolonged culture of both WT and KI cultures with AR7 treatment at DIV21, as compared to their corresponding vehicle-treated control groups (Figure 10(b)).

Discussion

The results of this study on LRRK2R1441G KI mice allowed us to present several strands of evidence concerning the mechanism of synucleinopathy in PD. These highlight the role of CMA in this pathological process. We have shown that with age SNCA oligomers accumulated in greater quantities in brains of mutant LRRK2R1441G KI mice compared with levels in age-matched WT control mice. We also demonstrated a greater accumulation of SNCA oligomers in prolonged culture of primary cortical neurons from LRRK2R1441G KI mice compared with that in WT neurons. Treatment of these KI neurons with a specific CMA activator induced Lamp2a gene transcription and attenuated accumulation of both intracellular and extracellular SNCA oligomers. In particular, we have shown that CMA was perturbed in aged LRRK2R1441G mutant mice. We demonstrated dysfunction in overall intracellular protein clearance in LRRK2 KI cells. We used MEFs derived from WT and KI mice to measure the overall intracellular clearance of SNCA conjugated with a photoactivated fluorescent reporter protein. In parallel, we measured clearance of ‘KFERQ’-like peptide (protein segment of mouse RNase A) which consists of the consensus recognition motif for CMA degradation as a reference substrate protein for comparison with SNCA. The overall cellular clearance of both SNCA and ‘KFERQ’-like conjugate in LRRK2 KI mutant cells were significantly lower as compared with the clearance in WT cells. This was associated with lower contribution of lysosomal degradation in LRRK2 KI cells as compared with that in WT cells. Although both SNCA and ‘KFERQ’-containing protein are known CMA substrates, these may well be degraded by multiple degradation pathways. Therefore, we determined whether defective protein clearance in LRRK2 KI cells was associated with lysosomal dysfunction. An enzymatic assay based on degradation of a lysosome-specific substrate showed that LRRK2 KI cells have significantly lower total lysosomal activity. We also found abnormal lysosome clustering in both KI MEFs and aged mouse striatum, suggesting defective lysosomal protein degradation. Furthermore, we determined how defective protein clearance in KI cells correlated with CMA. The lack of response in LRRK2 KI cells after Lamp2a knockdown suggested pre-existing CMA impairment in LRRK2 KI cells. Previously we have demonstrated the relevance and use of our LRRK2R1441G KI mouse as an animal model of PD [30,31,48]. Unlike most human carriers of LRRK2 mutations, who are heterozygous, we used KI mice carrying a homozygous mutation to accentuate the genetic risk. The advantage of this model is that the KI mutation is integrated into a known locus in the mouse genome, and the variant LRRK2 protein is expressed at normal physiological levels (developmentally and anatomically) under the control of its native promoter. This model more closely mimics the situation in human PD patients carrying LRRK2 mutations [30-33] in contrast to the knockout (with no LRRK2 expression) and transgenic models (with abnormally high LRRK2 expression) in which their conditions are not found in LRRK2-associated PD patients.. Although these KI mice have no overt parkinsonian phenotype, they have impaired neurotransmission following stimulated dopamine release [33] and increased vulnerability to reserpine-induced striatal dopamine depletion, resulting in presynaptic dysfunction and locomotor deficits with impaired recovery [30]. More recently, we also showed that these KI mice have significantly reduced NDUFS4 (component of mitochondrial Complex-I) and are more susceptible to locomotor deficits after chronic (over half of the mice’s lifespan) exposure to sub-lethal oral doses of the mitochondrial toxin rotenone (organic pesticide used in experimental toxic model of PD) [31]. These subtle nigrostriatal synaptic vulnerabilities observed in our KI mice recapitulate some of the earliest pathogenic features of PD. Thus, our LRRK2 KI mouse represents a useful model to explore age-dependent pathogenic events and potential therapies. SNCA exists in a dynamic equilibrium among different conformations and oligomers [10]. Although endogenous SNCA predominantly exists as unfolded monomers in the central nervous system [49], destabilization of the protein as a result of post-translational modifications such as oxidation and phosphorylation is thought to potentiate protein misfolding and formation of toxic prefibrillar oligomeric SNCA [50]. A growing body of evidence suggests that these soluble oligomeric species, rather than the insoluble fibrils in the Lewy bodies, are responsible for neurotoxicity [9,11,51]. SNCA is capable of forming native membrane-associated oligomers to permeabilize lipid bilayers of cell membranes causing calcium influx and apoptosis [52,53]. Furthermore, these oligomers have been shown to impair protein degradation [54] and cause dysfunction of mitochondria and endoplasmic reticulum [55-57]. These effects are detrimental to cellular structure and function, and contribute to neuronal cell death in PD. Previously we have shown that there was no difference in total levels of SNCA in the striata of our LRRK2R1441G KI mice compared with WT littermates [30]. Similarly, this lack of difference has also been observed in another LRRK2 knockin mouse model with the G2019S mutation [32,58]. In this study we found that levels of SNCA oligomers in striata of our aged KI mice were significantly higher and the doubling times were predicted to be considerably shorter than those in WT animals. From these results, it is clear that total cellular SNCA levels do not accurately track underlying pathological changes in PD. It is technically challenging to quantify oligomeric species of SNCA without being confounded by its monomeric form. We used a conformation antibody ‘A11’ in the initial step of ELISA to capture total amyloid-like oligomers [38] (including SNCA oligomers) instead of direct detection of SNCA oligomer by another specific antibody called ‘Syn33’ [59], because ‘A11’ antibody can detect a wider spectrum of amyloid-like oligomers. In the second phase of the assay SNCA oligomers were specifically detected by the use of a polyclonal antibody against total SNCA. This sandwich-ELISA minimizes the detection of monomeric SNCA, and more accurately quantifies the accumulation of oligomers, thus allowing better tracking of pathophysiological changes and therapeutic efficacy of any new agents to be tested. Using this SNCA oligomer-specific ELISA, we found a significantly greater age-dependent increase in SNCA oligomer levels in both the striatum and cortex of aged KI compared with WT mice. In addition to ELISA measurements, immunohistochemistry of dorsal striatum from aged KI mice using specific antibody against SNCA oligomer (‘Syn33’) [59] also revealed significantly more accumulation of these oligomers as compared with their occurrence in age-matched WT mice. These findings indicate that LRRK2R1441G mutation together with aging potentiated SNCA oligomer accumulation in the brain. Our results are consistent with findings that oligomeric SNCA is elevated in human brain homogenates from PD and Lewy body disease compared with normal controls [19,60]. Although there are reports of increased CSF oligomeric SNCA levels in pre-symptomatic human mutant LRRK2 carriers [61-63], we did not detect any differences in the levels of amyloid-like oligomers in CSF of either young or aged KI mice compared to age-matched WT, despite our careful attempts to exclude confounding factors such as contamination of CSF samples by presence of hemoglobin which contain large stores of SNCA. The reasons for such a discrepancy with humans are unclear. The levels of SNCA oligomers in the striata of young 3-month-old WT and KI mice were similar, indicating that aging is a crucial factor which drives a time-dependent buildup of oligomers in LRRK2 KI mouse brains. Nevertheless, quite how age influences the brain is a topic of considerable debate. Numerous hypotheses have been proposed including oxidative stress, mitochondrial dysfunction and excitotoxicity. These processes may affect SNCA equilibrium independently or in combination with aging in PD. We detected an age-dependent accumulation of SNCA oligomers in the brain of aged LRRK2 KI mice, and as a consequence we explored whether such accumulation was due to impaired lysosomal degradation of the protein. Abnormal clustering of lysosomes was observed in LRRK2 KI mouse striatum as well as in the mutant MEF(s) derived from these mice. Clustering of lysosomes at the cellular perinuclear region is a well-described cell response implicating impaired aberrant protein degradation [40]. Lysosomal dysfunction is shown not only to underlie various lysosome storage disorders but also to be present in PD [64]. Our observation suggested that LRRK2R1441G mutation may affect normal lysosomal trafficking and function in the brain. In our substrate clearance assays on WT and KI MEFs treated with lysosomal inhibitors, we compared the relative contribution of lysosomal degradation in these cells. Our results consistently showed a lower relative contribution of substrate degradation by lysosomes (as a percentage of total protein degradation) in KI by an approximate 14–16% as compared to WT. Our findings are in agreement with other reports which showed that altered GTPase activity of mutant LRRK2 affects lysosomal trafficking [65], and similar perinuclear lysosome clustering in a mutant (LRRK2G2019S) homology to human LRRK2 in Drosophila [66]. CMA is a subtype of the lysosome-autophagy pathway which degrades and recycles selective cytosolic protein substrates under cellular stress [67]. The process starts from initial substrate recognition by cytosolic HSPA8, binding and unfolding via LAMP2A on the lysosomal membrane, substrate translocation, disassembly of the translocation complex, and finally substrate degradation inside the lysosomes [17,24,25]. Collective evidence shows that substrate binding to LAMP2A represents the rate-limiting step of CMA activity, and changes in the abundance of active LAMP2A and distribution of CMA-active lysosomes can affect CMA activity [42]. LRRK2 mutations have been shown to inhibit CMA activity [35]. Therefore, it has been hypothesized that LAMP2A level would be reduced proportionally to the degree of impairment of CMA activity in LRRK2 mutant cells. However, to our surprise, we found that membrane-bound LAMP2A and HSPA8 levels in the striatum were higher in the aged LRRK2 KI mice as compared to the age-matched WT. We verified such findings by quantifying cellular LAMP2A levels in dissociated ventral midbrain cell suspension from these aged KI mice using flow cytometry, which also showed higher levels of total cellular LAMP2A. Moreover, visualization of LAMP2A-positive lysosomes by confocal imaging in aged KI mice striatum also showed significantly larger puncta stains than those observed in aged-matched WT mice, indicating abnormal accumulation of LAMP2A on the lysosomes. Similar observations were made in a previous study which showed that cells expressing mutated LRRK2 exhibited twice the amount of LAMP2A than in normal cells, and yet they demonstrated decreased CMA activity despite the increased LAMP2A levels [35]. In our aged KI mice, we also found a higher level of GAPDH (a recognized CMA substrate [16,20]) than that in WT mice, which supports our findings that CMA was impaired in the aged KI mice. In contrast, there was no difference in the levels of soluble LAMP2A and HSPA8 in the cytosol, suggesting that LRRK2 mutation only affects these proteins on the lysosomal membrane, whereas supply of free unbound LAMP2A and substrate recognition by HSPA8 in the cytosol are unlikely to be affected. To explore how CMA was affected by these changes, we determined the rate of cellular clearance of CMA substrates and lysosomal activity in these LRRK2 mutant cells. Assaying protein degradation activity by CMA in vivo is difficult because CMA activity is constantly affected by other degradation pathways such as the ubiquitin-proteasome system and macroautophagy [68]. Administration of a specific antagonist to one pathway may potentially affect the others through cellular compensatory mechanisms. For example, prolonged blockage of macroautophagy leads to upregulation of CMA [69]. Assessment of CMA activity typically relies on measuring proteolysis of exogenously supplied radiolabeled CMA substrates, e.g. GAPDH, into freshly purified lysosomes in vitro. However, variations in the integrity and purity of isolated lysosomes can confound the measurement of CMA activity. Furthermore, previous reports have shown that mutated LRRK2 protein inhibited CMA activity by binding abnormally with LAMP2A on the surface of lysosomes [35]. This binding may be inadvertently abolished during the stringent washing steps involved in lysosome isolation and purification. As a result, the effect of LRRK2 mutation on CMA activity may not be accurately reflected. To address these concerns, we developed an alternative assay to measure protein clearance in live cells engineered to express target substrate proteins (e.g. SNCA) conjugated with a photoactivatable fluorescent reporter protein (i.e. PAmCherry) which are readily degraded by CMA [70]. In order to determine the rate of degradation of SNCA in LRRK2 KI cells, we developed a stable MEFs culture engineered to express a photoactivatable PAmCherry protein conjugated with full length SNCA and a novel synthetic epitope tag called ‘NE’ for detection and quantification [43-45]. The photoactivatable PAmCherry-SNCA-NE protein does not emit fluorescence until activated by UV-A. Thus, the decline in fluorescence levels after photoactivation can be monitored and quantified at different time points using flow cytometry. Although SNCA contains a ‘KFERQ’-like pentapeptide (i.e. ‘VKKDQ’) for CMA-specific degradation, it is possible that this protein may be degraded via alternative non-CMA pathways [71]. Therefore, we developed another expression construct encoding for a reference substrate protein which includes the consensus CMA-specific recognition motif (i.e. ‘KFERQ’) as parallel comparison with SNCA for CMA degradation. This cell-based assay has the advantage of being easily modifiable to study degradation of any other target proteins of interest. We found that MEFs derived from our LRRK2 KI mice degraded both SNCA and the ‘KFERQ’-like peptide at significantly lower rates compared to MEFs from WT. Similar clearance assays on WT and LRRK2 KI MEFs expressing a non-CMA substrate, PAmCherry-KFSDA-NE (‘KFERQ’ mutated to ”KFSDA”), showed similar rate of substrate clearance (Figure 6(c)). These findings demonstrated the involvement of CMA in the overall clearance of both PAmCherry-KFERQ-NE (Figure 6(b)) and SNCA (Figure 6(a)), and that CMA dysfunction contributed to slower degradation of PAmCherry-KFERQ-NE and SNCA in KI cells. Immunoprecipitation results showed that PAmCherry-KFERQ-NE protein was co-immunoprecipitated with HSPA8, indicating that specific CMA substrate recognition by HSPA8. Conversely, such binding with HSPA8 was not observed in cells expressing a non-CMA substrate, PAmCherry-KFSDA-NE, where the CMA recognition motif was mutated. These results confirmed that PAmCherry-KFERQ-NE is a valid CMA reference substrate in which ‘KFERQ’ pentapeptide in the protein sequence is critical for the recognition by HSPA8 in CMA-specific degradation. Cells with the LRRK2 mutation have lower rate of CMA substrate degradation and that levels of LAMP2A do not necessarily reflect CMA activity in cells with the mutation. We verified our findings by comparing the lysosomal activities between WT and KI MEFs based on degradation of a self-quenched lysosomal substrate into cultures. Consistent with our PAmCherry clearance assay results, LRRK2 KI MEFs showed significantly lower lysosomal activity as compared with WT cells. Knockdown of LAMP2A expression in WT MEFs resulted in significant 16% and 20% reduction in the overall clearance rate as determined in both PAmCherry clearance and lysosomal activity assays, respectively. Unlike the WT cells, reduction in substrate clearance in LRRK2 KI cells after LAMP2A knockdown was not observed, suggesting pre-existing CMA impairment in the KI cells. This difference after LAMP2A knockdown in WT cells appeared to be similar to the level of difference in the lysosomal degradation between WT and KI cells (i.e. 14–16% in Figure 8(a,b)), suggesting that lysosomal dysfunction in LRRK2 KI cells was partly due to CMA impairment. Although the relative amount of about 16% that CMA contributes to overall protein degradation appears small, it is significant considering the remaining 84% non-CMA contribution comes from other protein degradation pathways not covered in this study. Furthermore, in humans, a relatively small but significant impairment in a specific protein degradation pathway such as CMA will have a large cumulative adverse impact on the buildup of toxic misfolded SNCA. PD is known to have a long pre-symptomatic and clinical phases stretching over many years in which the insidious accumulation of misfolded SNCA occurs. Recent evidence suggests that mutant forms of LRRK2, including both LRRK2G2019S and LRRK2R1441G, bind abnormally to lysosomal LAMP2A with higher affinity than native LRRK2 and cause accumulation of high-molecular-weight LAMP2A-containing multimeric complexes. It was suggested that this could hinder substrate unfolding and translocation, prevent disassembly and degradation of the substrate translocation complex, and this ultimately adversely affects the degradation of LRRK2 and other CMA substrates [34,35]. In summary, our results demonstrate a much faster oligomer accumulation in our aged LRRK2 KI mouse brains and a much longer half-life of SNCA as measured by PAmCherry-SNCA-NE clearance assay in the mutant MEFs. We also demonstrate that knocking down the level of LAMP2A by siRNA(s) causes a reduction in the rate of SNCA clearance only in WT MEFs. Thus, CMA makes a significant contribution to SNCA degradation in WT MEFs, but not in LRRK2 KI MEFs because of pre-existing impairment in CMA in the latter. We believe that a similarly reduction of CMA activity in human PD patients with LRRK2 mutation is a major contributor to the buildup of SNCA oligomers in their brains. The therapeutic options to modulate CMA are very limited. Prolonged starvation has been one of the most common stimuli to activate CMA [47]. Recent reports have shown that disruption of RARA signaling has a stimulatory effect on CMA, but can lead to concomitant inhibition of macroautophagy [46,72]. Cuervo and Gavathiotis et al. developed various RARA antagonists; one in particular, AR7, enhanced CMA activity without affecting macroautophagy [46]. We verified the effects of AR7 on CMA activation using WT and KI MEFs expressing photoactivated PAmCherry-KFERQ-NE, and showed the formation of intracellular puncta carrying PAmCherry fluorescence which was also observed in parallel groups of cells after serum withdrawal, a known activator of CMA. When the lysosomal activity of these cells was measured after treatment with AR7 and we found that incubation with AR7 for only two hours was sufficient to cause a significant increase in lysosomal activity, indicating that AR7 can stimulate protein degradation in both mutant and WT cells. Long-term culture of mouse primary neurons is useful to explore cellular mechanisms of aging and to test the efficacy of various therapeutic agents [73]. Previous studies have shown that mouse primary cortical neuron cultures remain stable and healthy for at least 60 days in vitro [74]. Since we found that the SNCA oligomer levels in KI primary neurons gradually increased over prolonged culture over 21 days in vitro and remained significantly higher than the levels in WT cultures, we determined whether treatment with CMA activator AR7 could be beneficial to reduce the formation of SNCA oligomers during prolonged culture. AR7 has been shown to activate CMA in normal mouse fibroblasts by increasing the availability of LAMP2A on the lysosomes [46]. Firstly, we addressed the effects of AR7 on CMA activation in our primary neuronal cell model. We showed that AR7 had an effect on CMA as we observed an immediate increase in Lamp2a mRNA level upon addition of AR7 to cell cultures at 24 hours. However, we did not find significant difference in total cellular LAMP2A protein levels in both WT and KI AR7-treated neurons after 21 days of prolonged culture compared with their vehicle-treated neurons. It is possible that increased LAMP2A transcription induced by AR7 was offset by increased lysosomal degradation of LAMP2A along with its CMA substrates (including SNCA), resulting in no observable net increase in LAMP2A protein levels in AR7-treated cells at DIV21. AR7 was administered into cell cultures at two time points: DIV9 and DIV14. The beneficial effect of AR7 to attenuate oligomer accumulation was observed in KI neurons at DIV14, with an even greater reduction observed at DIV21 after an additional dose of AR7 given at DIV14. Both neuronal lysates and extracellular conditioned media showed a dose-dependent reduction of SNCA oligomer levels down to levels seen in vehicle-treated WT at the corresponding time points. However, unlike KI neurons, WT cells treated with the lower dose of 10 μM AR7 did not show any changes in the levels of total intracellular SNCA oligomers. Treatment at higher dose of 20 μM even showed an unexpected increase in oligomer levels compared with their corresponding vehicle-treated neurons at DIV21. The reason for such increase in oligomeric levels in AR7-treated WT cells is unclear. It may be due to yet unknown effects of AR7 on RARA/RARα signaling in normal neurons, although we did not see significant cell death in WT cultures after 21 days of AR7 treatment. A previous study showed that activation of RARA by specific agonists can induce proteasome-dependent protein degradation in monkey kidney cells [75]. It is possible that AR7, being a RARA antagonist [46], may perturb the physiological cellular protein degradation processes in normal WT cells. The reduction in oligomeric SNCA by AR7 is paralleled by a significant reduction of total intracellular SNCA in both WT and KI neurons at DIV21 after two doses of AR7. Such a reduction would benefit the cells by minimizing the tendency for the protein to aggregate into toxic oligomers. The efficacy of AR7 in reducing SNCA oligomer accumulation in LRRK2 KI primary neurons indicates its ability to overcome the inhibitory effects of mutated LRRK2 on CMA-mediated SNCA clearance. In conclusion, we report findings in our mutant LRRK2R1441G KI mouse model of Parkinson disease that the pathogenic mutation together with aging resulted in age-dependent accumulation of SNCA oligomers in both striatum and cortex. Such accumulation was associated with abnormal perinuclear clustering of lysosomes, and abnormal accumulation of CMA-specific LAMP2A and HSPA8 together with a recognized CMA substrate, GAPDH, in mutant brains. Using a photoactivatable fluorescence-based cellular substrate clearance assay and a total intracellular lysosomal activity assay, we found impaired cellular clearance of SNCA as well as a consensus CMA substrate peptide – ‘KFERQ’ in LRRK2 KI cells, suggesting that accumulation of SNCA oligomers in aged mutant brains was in part due to impaired CMA protein clearance. Current available therapies of PD are neither curative nor protective, and are associated with side-effects and loss of efficacy over time. New passive immunotherapies based on antibody-mediated clearance of pre-existing SNCA aggregates have shown some promise in various experimental PD models. However, these treatment methods have their own challenges including antibody specificity and induction of inflammatory autoimmunity [76-78]. SNCA is degraded via multiple pathways. However, when SNCA aggregates to form higher molecular weight species, lysosomes play a more dominant role than proteasomes in their degradation [79]. Because SNCA accumulation is a slow process in human PD, there exists a long window of opportunity to enhance protein clearance in neurons and hence reduce the likelihood of toxic protein aggregation and propagation. CMA activation to prevent the buildup of SNCA oligomers in neurons with age may be a viable therapeutic strategy in PD.

Materials and methods

Animals

A C57BL/6 mouse colony with complete homozygous knockin of pathogenic LRRK2R1441G KI mutation (‘R1441G’ mutation in the ROC GTPase domain of LRRK2) has been described previously [30,31]. These mutant mice were back-crossed with wildtype C57BL/6 for eight generations, and maintained under pure C57BL/6N mouse background. All mice were housed in the Laboratory Animal Unit, University of Hong Kong which has accreditation through the Association for Assessment and Accreditation of Laboratory Animal Care International (AAALAC), under standard conditions (12-h light/dark cycle) with unrestricted access to food and water. The procedure of experimental use of animals was approved by the Institutional Animal Care and Use Committee.

Generation and culture of mouse embryonic fibroblasts (MEFs)

Littermate matched WT and homozygous LRRK2R1441G KI mouse embryonic fibroblasts (MEFs) were isolated from mouse embryos at day E12.5 resulting from crosses between heterozygous LRRK2R1441G/WT mice based on our previously described protocol [48]. All MEFs were cultured in Dulbecco’s Modified Eagle Medium (DMEM; ThermoFisher™ Scientific, 10569-010) containing 10% FBS (GE Healthcare HyClone™, SH30071.03), 100 units/ml penicillin, 100 μg/mL streptomycin (ThermoFisher™ Scientific, 15140-122), non-essential amino acids (ThermoFisher™ Scientific, 11140-050). The genotype of individual MEF clones was confirmed by Sanger sequencing.

Preparation of mouse primary cortical neurons and treatments

Mouse cortical neuron culture isolated from either WT or LRRK2R1441G KI mutant mice was prepared based on previous protocol [80]. Briefly, whole brain from E15 mouse embryos was transferred into cold Hanks Balanced Salt Solution (HBSS; ThermoFisher™ Scientific, 14025-076) with glucose. The frontal and occipital parts of the cortex were removed to unroll the hemisphere. Blocks of neocortex, obtained after eliminating hippocampus and white matter, were maintained in HBSS supplemented with glucose and dissociated using Papain Dissociation System (Worthington Biochemical Corporation, LK003150) at 37°C. After dissociation, the cell suspension was filtered through a nylon mesh (70 microns). Cells were seeded on poly-L-lysine (Sigma Aldrich™, P4832) coated dishes. Isolated neuronal cells were cultured in Neurobasal medium (ThermoFisher™ Scientific, 21103049) with 2% B-27 supplement (ThermoFisher™ Scientific; 17504044) and 1% Glutamax-I (ThermoFisher™ Scientific; 35050-061). To investigate whether treatment with AR7 [7-Chloro-3-(4-methylphenyl)-2H-1,4-benzoxazine; Sigma Aldrich™, SML0921] can modulate SNCA oligomer levels, Matured primary cortical neurons (DIV9) were cultured under normal culture conditions with or without AR7 (0, 10, 20 μM) for up to 21 days in culture (DIV21). AR7 dissolved in cell-culture grade DMSO (Sigma Aldrich™, D2650) was added into the culture medium on DIV9 and DIV14 at designated concentrations. The conditioned medium and the total cell lysates were extracted on DIV9, 14, and 21 for western blots and SNCA oligomer ELISA analyses.

Cloning of lentiviral expression constructs

To develop WT and LRRK2R1441G KI mutant MEFs to stably express photoactivatable PAmCherry-SNCA-NE or PAmCherry-KFERQ-NE using lentivirus, PAmCherry1 gene was amplified by PCR from pPAmCherry1-N1 plasmid, a gift from Vladislav Verkhusha (Addgene™ plasmid, 31928) [70], as template to generate an insert including EcoRI at the 5ʹ end and NheI-PmeI at the 3ʹ-end. This cDNA insert of PAmCherry1 was then sub-cloned into a lentiviral backbone plasmid pSIN4-EF2-IRES-Pur derived from a gift from James Thomson (Addgene™ plasmid, 16580) [81] to construct pSIN4-PAmCherry plasmid. The oligonucleotides sequences are as followed: Forward: 5ʹ- GGAATTCGCCACCATGGTGAGCAAG-3ʹ; and Reverse: 5ʹ-AGCTTTGTTTAAACTTAGCTAGCCTTGTACAGCTCGTCCATGCCG-3ʹ. The pSIN4-PAmCherry-SNCA-NE plasmid was constructed by inserting the cDNA fragment of mouse conjugated with a protein tag ‘NE’ into the NheI and PmeI sites of pSIN4-PAmCherry-SNCA plasmid using the following oligonucleotides. ‘NE’ is a novel 18-amino-acid epitope tag we developed to facilitate specific protein detection by a monoclonal NE antibody [44-46] (Versitech Ltd. Hong Kong; http://www.versitech.hku.hk/reagents/ne/). Forward: 5ʹ-CTAGCTAGCGATGTGTTCATGAAAGGACT-3ʹ and Reverse: 5ʹ-CGCCGTTTAAACTTAGCTTTCGTTATCATCATAGC-3ʹ. For pSIN4-PAmCherry-KFERQ-NE plasmid, the encoding sequence of a 20-amino acid segment of mouse RNase A protein containing ‘KFERQ’-like pentapeptide (KESRAKKFQRQHMDSDSSPS) was conjugated with NE tag, and was inserted into the NheI and PmeI sites of pSIN4-PAmCherry plasmid using the following oligonucleotides: Forward: 5ʹ- CTAGCTAGCAAGGAATCCCGGGCCAAGAAAT-3ʹ and Reverse: 5ʹ- CGCCGTTTAAACTTAGCTTTCGTTATCATCATAGC-3ʹ. To generate lentivirus expressing either PAmCherry-SNCA-NE or PAmCherry-KFERQ-NE, corresponding plasmids were co-transfected with helper plasmids in 293T cells using Lipofectamine3000™ (ThermoFisher™ Scientific, L3000-015) for 3 days. Virus-containing media were collected and filtered before transduction of either WT or LRRK2R1441G KI MEFs to induce expression of target proteins. Cells after photoactivation were observed under fluorescent microscope to determine transduction efficiency.

Mutagenesis of CMA recognition motif in ‘KFERQ’-like substrate conjugates

To demonstrate the involvement of CMA recognition motif (i.e. ‘KFERQ’-like pentapeptide) as a reference substrate used in the cellular protein clearance assay, mutagenesis of the CMA recognition motif in PAmCherry-KFERQ-NE was performed by GeneChem (Shanghai, China), based on altering the physical properties of amino acids in the targeting motif as referenced from Orenstein & Cuervo [82]. Briefly, the CMA recognition motif (5ʹ-AAATTCCAgCggCAg-3) was mutated to 5ʹ-AAATTCAgCgATgCT-3”, and sub-cloned into pSIN4-PAmCherry plasmid. The resultant changes in individual amino acid were listed as the following: ‘KFERQ’ → ‘KFSDA’ (‘KFERQ’ mutant): 1st & 2nd amino acid: unchanged; 3rd amino acid: E (acidic) → S (polar); 4th amino acid: R (basic) → D (acidic); 5th amino acid: Q (polar) → A (hydrophobic). Resultant plasmid was co-transfected with helper plasmids in 293T cells to generate lentivirus. Virus-containing media were collected and filtered before transduction of either WT or LRRK2R1441G KI MEFs to induce expression of PAmCherry-KFSDA-NE protein.

Mouse brain cell fractionation and western blotting

WT and LRRK2R1441G KI mutant mouse striatum and cortex were freshly dissected and homogenized by sonication in cold PBS supplemented with protease inhibitor cocktail (Roche, 11873580001). Homogenates were briefly centrifuged for 5 min at 720 × g to remove fatty tissues and nuclei. The resultant supernatants containing cellular organelles were further clarified by centrifugation at 4°C for 15 min at 12,000 × g. The cytosolic fractions were collected from the resultant supernatants, whereas the insoluble membranous fractions were resuspended and washed twice in cold PBS before being completely dissolved in 1% DDM (n-dodecyl-ß-D-maltoside; Sigma Aldrich™, D4641). Sample protein concentration was determined by the Bradford assay. For western blotting, samples of equal amount of protein were diluted in sample buffer (62.5 mM Tris, pH 6.8, 100 mM DTT, 2% SDS, 10% glycerol, and 0.002% bromophenol blue), electrophoresed in 12% SDS-polyacrylamide gels, then transferred onto PVDF membranes. Resulting blots were blocked with 5% non-fat skimmed milk (Bio-Rad, 170-6404) in TBS (25 mM Tris, 3 mM KCl, 140 mM NaCl; USB® Corporation, 75892) and probed with a rabbit polyclonal antibody against LAMP2A (Abcam™, ab18528); monoclonal antibody against HSPA8/HSC70 (Abcam™, ab19136); monoclonal antibody against LAMP1 (Abcam™, 25245); monoclonal antibody against GAPDH (ImmunoWay Biotechnology Company, YM3029) and monoclonal antibody against ACTIN (Cell Signaling Technology, 4970). For chemiluminescence detection, blots were incubated with HRP-conjugated secondary antibodies (goat anti-rabbit immunoglobulin/HRP, Agilent DAKO™, P0448; rabbit anti-mouse immunoglobulin/HRP, Agilent DAKO™, P0260; rabbit anti-rat IgG (H + L) HRP, ThermoFisher Scientific™, 61-9520), followed by ECL substrate detection. Immunoblots were quantified by computerized scanning densitometry using ImageJ software.

Preparation of purified recombinant SNCA oligomers

For the preparation of SNCA oligomers, purified recombinant monomeric SNCA protein (50 μM) dissolved in 0.1 M PBS (phosphate buffered saline) at pH 7.4 (ThermoFisher Scientific™, 10010031) (Figure S2(i)) was mixed with freshly prepared dopamine hydrochloride (Sigma Aldrich™, H8502) at 200 μM to induce oligomer formation according to previous literature [83]. The reaction solution was incubated at 37°C with vigorous agitation for 24 h protected from direct light to allow oligomerization (Figure S2(ii)). The oligomeric SNCA fraction was isolated from the monomeric SNCA by size-exclusion column (Superdex™ 200 10/300 GL; GE Healthcare™, 17-5175-01) (Figure S2(iii)). The eluted fractions containing high-molecular-weight SNCA were concentrated by Amicon™ centrifuge filters (<10 kD), quantified and verified by its immunoreactivity against ‘A11’ oligomeric antibody (ThermoFisher™ Scientific, AHB0052) in western blotting (Figure S2(ii)). The purified oligomeric SNCA was freshly diluted in PBS and used as standards in the SNCA oligomer sandwich-ELISA.

Quantification of SNCA oligomer levels by sandwich-ELISA and dot-blotting

The levels of soluble oligomeric and total SNCA in mouse striatum and cortex, cell culture lysates, and conditioned medium of primary cortical neurons were measured by sandwich-ELISA and dot-blotting. For sandwich-ELISA to quantify the level of SNCA oligomers, 96-well microtiter plate was coated with an excessive amount of ‘A11’ conformational antibody (0.1 μg/well; ThermoFisher Scientific™, AHB0052) in 100 mM bicarbonate/carbonate buffer at 4°C overnight. This antibody has been shown to recognize soluble amyloid-like oligomers but not monomeric or mature fibers of SNCA [38,39,61]. The coated plate was blocked by 5% non-fat dry milk in 1× TBST (25 mM Tris, 0.15 M NaCl, 0.05% Tween-20, pH 7.5; Pierce™, 28360) for 1 h at RT. Soluble lysates (1 μg) or undiluted conditioned medium were incubated at 37°C for 2 h to allow capture of soluble oligomers. Serial dilutions of purified recombinant SNCA oligomers (0, 0.008, 0.04, 0.1, 0.2, 0.25 pg/μl) were incubated in separate wells to generate a standard curve for sample quantification. Plates were incubated with 1:5000 HRP-conjugated polyclonal antibody against SNCA (Bioss™ USA, bs-0009R-HRP) at 37°C for 1 h. After subsequent washes, TMB substrate (ThermoFisher Scientific™, N301) was added and incubated in the dark at 37°C for 15–30 min for color development. After addition of sulphuric acid (0.1M, 1: 1 v/v), the optical density (OD) of each well at 450 nm was measured using a microplate reader. Quantification of total intracellular SNCA oligomer levels in PBS-soluble lysates were based on the linear standard curve generated from purified recombinant SNCA oligomer standards (Figure 1(b)(i)). For dot-blotting, striatal lysates (1 μg per dot) were spotted onto PVDF membrane using a narrow-mouth pipette tip, and air dried. The resultant blot was incubated with ‘A11’ conformational antibody (1:1000) after blocked by 5% non-fat dry milk in TBST for 1 h at RT. After subsequent washes, the blot was incubated with 1:8000 anti-rabbit HRP-conjugated secondary antibody (goat anti-rabbit immunoglobulin/HRP, Agilent DAKO™, P0448), then developed with ECL reagent for chemiluminescence detection. The relative amount of ‘A11’ oligomers in samples was quantified by computerized scanning densitometry using ImageJ software.

Measurements of total cellular LAMP2A and GAPDH (CMA-substrate) levels in mouse ventral midbrain in flow cytometry

Aged 18-month old WT and LRRK2R1441G KI mutant mouse ventral midbrains were freshly dissected and dissociated by papain dissociation system (Worthington Biochemical Corporation, LK003182) at 37°C with gentle agitation. Cells were passed through nylon mesh (70 micron) to obtain single cell suspension, and were fixed with 4% PFA (paraformaldehyde; Affymetrix Incorporation, 19943) at RT for 10 min. The total number of cells in suspension was counted using hemocytometer. A total of 1,000,000 cells in suspension were incubated with 0.15% Triton-X at RT for additional 10 min to partially permeabilize the cell membrane. Afterward, cells were blocked by 5% BSA (Affymetrix Incorporation, 10857) with 2% normal goat serum for 45 min before incubated with excess amount of primary polyclonal antibody against LAMP2A (Abcam™, ab18528; 1.5 μg antibody in 250 μl) in dilution buffer containing 2.5% BSA and 1% serum for overnight at 4°C. After subsequent washes and centrifugation, cells were further incubated with secondary antibody conjugated with Alexa Fluor® 594 (ThermoFisher Scientific™, A11072) for 30 min at RT protected from light. After final washes, cell pellets were resuspended in PBS supplemented with 0.5% BSA and analyzed by flow cytometry for red fluorescence intensity levels. The relative amount of GAPDH in neurons was measured by flow cytometry after co-staining of GAPDH (ImmunoWay Biotechnology Company, YM3029) and neuronal marker protein TUBB3 (BioLegend, MRB-435P) following the same staining procedure as described above. The amount of cellular LAMP2A and GAPDH in each sample was determined as the mean staining intensity (area under curve) as measured by LSR Fortessa cell analyzer [Becton Dickinson (BD) Biosciences].

Rate of cellular SNCA protein clearance by flow cytometry

To assess the efficiency of intracellular SNCA clearance, MEFs stably expressing either PAmCherry-SNCA-NE or PAmCherry-KFERQ-NE were photoactivated under UV-A (405 nm) for 10 min before flow cytometry measurements. We stably expressed PAmCherry-KFERQ-NE protein, which includes a consensus CMA recognition motif (i.e. ‘KFERQ’) in the protein sequence, as a reference substrate in parallel with SNCA for CMA degradation. Specific substrate degradation by CMA was assessed by the resultant changes in PAmCherry-KFERQ-NE clearance at 48 h under LAMP2A knockdown condition in both WT and LRRK2 KI MEFs. To determine the relative contribution of lysosomal degradation, MEFs stably expressing PAmCherry-KFERQ-NE were treated with either bafilomycin A1 (Tocris Bioscience™, 1334) at 100 nM or CQ (Sigma Aldrich™, C6628) at 20 μM to determine specific reduction in overall clearance due to lysosomal degradation (0, 12, 24, 48 h). The presence of red fluorescence emitted by photoactivated PAmCherry was confirmed under microscope after photoactivation. The initial level of red fluorescence (t = 0) and the levels in each group at 12, 24, 48 h post-photoactivation were measured by flow cytometry (PE-Texas Red channel) (Figure 5(a)). The rates of SNCA clearance of both WT and LRRK2R1441G KI mutant MEFs were determined as total fluorescent signal compared with their corresponding levels of PAmCherry at t = 0, expressed as a percentage. Endogenous PAmCherry-conjugated substrate proteins which were newly synthesized by the cells after photoactivation did not emit fluorescence. The presence of these newly synthesized proteins inside the cells would not confound the flow cytometry protein clearance assay.

Knockdown of LAMP2A expression to determine CMA-specific protein degradation

In order to determine the functional role of CMA in the overall cellular protein degradation in WT and LRRK2R1441G KI mutant MEFs, mouse Lamp2a mRNA expression in these cells were knocked down by transfection of a mixture of three validated siRNA oligonucleotides (100 nM) [29] using Lipofectamine RNAiMAX™ (ThermoFisher Scientific™, 13778-075) for 72 h. A non-targeting scrambled siRNA (Silencer® Select Negative Control siRNA; ThermoFisher Scientific™, 4390843) was used to assess non-specific confounding effects after transfection. The sequences of the regions targeted by the three siRNA(s) in the exon 8a of the LAMP2A gene were 5ʹ-GACTGCAGTGCAGATGAAG-3ʹ, 5ʹ-CTGCAATCTGATTGATTA-3ʹ, and 5ʹ-TAAACACTGCTTGACCACC-3ʹ, corresponding to bases 1198-1216, 1331-1359, and 1678-1700 [29]. Percentage knockdown of LAMP2A protein expression after siRNA transfection was determined by western blotting.

Measurement of total cellular lysosomal activity

Total lysosomal protein degradation activity was determined using a commercial lysosomal activity assay kit (BioVision™ Incorporation, K448), followed by flow cytometry. Briefly, cells were seeded in 24-well plates at 60% confluence one day before the experiments, and were refreshed by fresh complete medium 1 h before experiment. A lysosomal-specific self-quenched substrate diluted in conditioned medium supplemented with 0.5% FBS was added into the cell medium and incubated for an additional 1 h. This substrate, acting as endocytic cargo, was taken up by cells and was degraded by endo-lysosomal vesicles. After substrate incubation, cells were washed with PBS, then trypsinized, and immediately fixed in 4% PFA. The intracellular fluorescence intensity, emitted by the de-quenched substrate in lysosomes, was measured and quantified by flow cytometry. The activity in WT cells was compared with that in LRRK2R1441G KI cells using unpaired Student’s t-test.

Visualization of SNCA oligomers/aggregates in mouse brains

Mice under anesthesia were perfused with cold PBS followed by 4% PFA. Whole brain was removed and post-fixed in 4% PFA at 4°C overnight according to our previous protocol [31]. After dehydration, clearing, paraffin infiltration and embedding, the whole striatum were sectioned coronally at 8 micron thickness. Paraffin tissues sections after antigen retrieval were blocked by TBS containing 5% normal serum and 5% BSA for 1 h at room temperature. Accumulation of SNCA aggregates and its oligomers in aged WT and LRRK2R1441G KI mutant mouse brains were detected by immunohistochemistry using either a rabbit polyclonal SNCA oligomer-specific ‘Syn33’ antibody (Merck Millipore™, ABN2265) or a mouse monoclonal antibody against total SNCA (4D6; Abcam™, ab1903). After subsequent incubation with F(ab’)2-goat anti-mouse IgG (H + L) cross-adsorbed Alexa Fluor® 594 secondary antibodies (ThermoFisher Scientific™, A-11020), stained slides were counter-stained either by NeuroTrace™ 435/455 blue-fluorescent Nissl stain (ThermoFisher Scientific™, N21479). Afterward, slides were incubated with 0.1% Sudan Black B (Sigma Aldrich™, 199664) dissolved in 70% ethanol for 5 min. to remove tissue auto-fluorescence. Fluorescent confocal photomicrographs were obtained using a Carl Zeiss LSM710 (Germany) laser scanning confocal microscope with a Plan Apochromat 63 × 1.4NA oil immersion objective. Images were collected with Z step size at 2.0 μm thickness and analyzed by ImageJ software.

Intracellular localization of lysosomes

In order to visualize the intracellular localization of lysosomes, WT and mutant LRRK2 MEFs cultured under normal condition were rinsed with cold PBS and fixed by 4% PFA at room temperature for 10 min. For both MEFs and brain sections, endogenous peroxidase activity was blocked by 3% H2O2. After subsequent blocking, slides were either incubated with a rat monoclonal antibody against LAMP1 (Abcam™, ab25245) at 4°C overnight for visualization of total lysosomes, or a human monoclonal antibody against LAMP2A (Abcam™, ab213294) for CMA-specific lysosomes. After subsequent washes using TBST, slides were further incubated with either anti-rat secondary antibody conjugated with Alexa Fluor® 546 or 488 (ThermoFisher Scientific™, goat anti-rat IgG (H + L) cross-adsorbed Alexa Fluor® 546, A-11081; goat anti-rat IgG (H + L) cross-adsorbed Alexa Fluor® 488, A-11006) or a goat PE-conjugated anti-human IgG Fc secondary antibody (eBioscience™, 12-4998-82). Stained slides were counter-stained either by NeuroTrace™ 435/455 blue-fluorescent Nissl stain (ThermoFisher Scientific™, N21479) for neurons, or DAPI stain for total cell nuclei. Afterward, slides were incubated with 0.1% Sudan Black B and then mounted with ProLong™ Diamond anti-fade mountant (ThermoFisher Scientific™, P36961) before photographed under confocal microscope. Estimation of the LAMP2A puncta size was performed by ‘Green and Red Puncta Colocalization Macro’ developed for ImageJ software application (D. J. Swiwarski modified by R.K. Dagda). This macro has been validated for analyzing autophagic flux [84]. Briefly, full size confocal images (Magnification: 1 × 630; 2048 × 2048 pixels per image corresponding to actually area of 18211 µm2) with LAMP2A staining from striatal area of aged WT or KI mice were subjected to auto-threshold adjustment based on the macro script default parameters to remove non-specific background fluorescence. The resultant images were fed into algorithm of puncta analysis. Puncta counts and individual puncta area were measured. The average size of LAMP2A puncta in each animal was expressed in μm2.

Quantitative real-time-PCR of LAMP2A gene expression

Total RNA was extracted using RNeasy® Mini kit (Qiagen™, 74104) according to the manufacturer’s instruction. Briefly, primary neuronal cells after treatments were rinsed with cooled PBS. Buffer RLT (350 μl) was added to each well of the 24-well plate to lyse the cells. The lysates were collected and immediately frozen in liquid nitrogen. After all samples were collected, these lysates were thawed on ice and 350 μl of 70% ethanol was added to each homogenized lysate. The mixture was transferred to the RNeasy spin column, centrifuged, and washed by Buffer RW1 and Buffer RPE. The RNA was eluted in 50 μl of DNase/RNase free water after centrifugation. Total RNA concentration was determined by Nanodrop™ Spectrophotometer 2000 (ThermoFisher Scientific™). The synthesis of cDNA from 0.2 μg of RNA was performed using PrimeScript® RT master mix according to manufacturer’s protocol (TaKaRa Bio USA Incorporation, RR036B). The reaction was incubated at 37°C for 15 min followed by 85°C for 5 s. After the reverse transcription reaction, qPCR was used to quantify the expression of LAMP2A and ACTIN mRNA. Specific primers were used for detection of LAMP2A (forward: 5ʹ-AGGTGCTTTCTGTGTCTAGAGCGT-3ʹ; reverse: 5ʹ-AGAATAAGTACTCCTCCCAGAGCTGC-3ʹ) and ACTIN (forward: 5ʹ-AAGGACTCCTATGTGGGTGACGA-3ʹ; reverse: 5ʹ-ATCTTCTCCATGTCGTCCCAGTTG-3ʹ). The following reaction condition was performed: 10 min at 95°C, followed by 40 cycles of 95°C for 15 s and 60°C for 1 min, and melting curve of 95°C for 15 s and 60°C for 1 min. StepOnePlus™ Real-Time PCR System (ThermoFisher Scientific™, USA) was used to perform the real-time PCR reaction and the data were analyzed by StepOne™ Software v2.3 (ThermoFisher Scientific™, USA) using the comparative CT method (2−ΔΔCT method) [85].

Statistical methods

All experiments were repeated in more than five independent trials. Data are expressed as mean ± standard error mean (S.E.M.). Statistical difference between two independent groups was either assessed by one-way ANOVA followed by the post hoc Bonferroni multiple comparisons test or direct comparison using Mann-Whitney non-parametric analysis and unpaired Student’s t-test, using GraphPad™ PRISM software (GraphPad Inc., CA). Interaction between multiple groups and factors (e.g. interaction between age and mutation effect) was assessed by two-way ANOVA. Differences are considered significant at a level of p < 0.05.
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Florin Burada; Joseph R Burgoyne; M Isabel Burón; Victor Bustos; Sabrina Büttner; Elena Butturini; Aaron Byrd; Isabel Cabas; Sandra Cabrera-Benitez; Ken Cadwell; Jingjing Cai; Lu Cai; Qian Cai; Montserrat Cairó; Jose A Calbet; Guy A Caldwell; Kim A Caldwell; Jarrod A Call; Riccardo Calvani; Ana C Calvo; Miguel Calvo-Rubio Barrera; Niels Os Camara; Jacques H Camonis; Nadine Camougrand; Michelangelo Campanella; Edward M Campbell; François-Xavier Campbell-Valois; Silvia Campello; Ilaria Campesi; Juliane C Campos; Olivier Camuzard; Jorge Cancino; Danilo Candido de Almeida; Laura Canesi; Isabella Caniggia; Barbara Canonico; Carles Cantí; Bin Cao; Michele Caraglia; Beatriz Caramés; Evie H Carchman; Elena Cardenal-Muñoz; Cesar Cardenas; Luis Cardenas; Sandra M Cardoso; Jennifer S Carew; Georges F Carle; Gillian Carleton; Silvia Carloni; Didac Carmona-Gutierrez; Leticia A Carneiro; Oliana Carnevali; Julian M Carosi; Serena Carra; Alice Carrier; Lucie Carrier; Bernadette Carroll; A Brent Carter; Andreia Neves Carvalho; Magali Casanova; Caty Casas; Josefina Casas; Chiara Cassioli; Eliseo F Castillo; Karen Castillo; Sonia Castillo-Lluva; Francesca Castoldi; Marco Castori; Ariel F Castro; Margarida Castro-Caldas; Javier Castro-Hernandez; Susana Castro-Obregon; Sergio D Catz; Claudia Cavadas; Federica Cavaliere; Gabriella Cavallini; Maria Cavinato; Maria L Cayuela; Paula Cebollada Rica; Valentina Cecarini; Francesco Cecconi; Marzanna Cechowska-Pasko; Simone Cenci; Victòria Ceperuelo-Mallafré; João J Cerqueira; Janete M Cerutti; Davide Cervia; Vildan Bozok Cetintas; Silvia Cetrullo; Han-Jung Chae; Andrei S Chagin; Chee-Yin Chai; Gopal Chakrabarti; Oishee Chakrabarti; Tapas Chakraborty; Trinad Chakraborty; Mounia Chami; Georgios Chamilos; David W Chan; Edmond Y W Chan; Edward D Chan; H Y Edwin Chan; Helen H Chan; Hung Chan; Matthew T V Chan; Yau Sang Chan; Partha K Chandra; Chih-Peng Chang; Chunmei Chang; Hao-Chun Chang; Kai Chang; Jie Chao; Tracey Chapman; Nicolas Charlet-Berguerand; Samrat Chatterjee; Shail K Chaube; Anu Chaudhary; Santosh Chauhan; Edward Chaum; Frédéric Checler; Michael E Cheetham; Chang-Shi Chen; Guang-Chao Chen; Jian-Fu Chen; Liam L Chen; Leilei Chen; Lin Chen; Mingliang Chen; Mu-Kuan Chen; Ning Chen; Quan Chen; Ruey-Hwa Chen; Shi Chen; Wei Chen; Weiqiang Chen; Xin-Ming Chen; Xiong-Wen Chen; Xu Chen; Yan Chen; Ye-Guang Chen; Yingyu Chen; Yongqiang Chen; Yu-Jen Chen; Yue-Qin Chen; Zhefan Stephen Chen; Zhi Chen; Zhi-Hua Chen; Zhijian J Chen; Zhixiang Chen; Hanhua Cheng; Jun Cheng; Shi-Yuan Cheng; Wei Cheng; Xiaodong Cheng; Xiu-Tang Cheng; Yiyun Cheng; Zhiyong Cheng; Zhong Chen; Heesun Cheong; Jit Kong Cheong; Boris V Chernyak; Sara Cherry; Chi Fai Randy Cheung; Chun Hei Antonio Cheung; King-Ho Cheung; Eric Chevet; Richard J Chi; Alan Kwok Shing Chiang; Ferdinando Chiaradonna; Roberto Chiarelli; Mario Chiariello; Nathalia Chica; Susanna Chiocca; Mario Chiong; Shih-Hwa Chiou; Abhilash I Chiramel; Valerio Chiurchiù; Dong-Hyung Cho; Seong-Kyu Choe; Augustine M K Choi; Mary E Choi; Kamalika Roy Choudhury; Norman S Chow; Charleen T Chu; Jason P Chua; John Jia En Chua; Hyewon Chung; Kin Pan Chung; Seockhoon Chung; So-Hyang Chung; Yuen-Li Chung; Valentina Cianfanelli; Iwona A Ciechomska; Mariana Cifuentes; Laura Cinque; Sebahattin Cirak; Mara Cirone; Michael J Clague; Robert Clarke; Emilio Clementi; Eliana M Coccia; Patrice Codogno; Ehud Cohen; Mickael M Cohen; Tania Colasanti; Fiorella Colasuonno; Robert A Colbert; Anna Colell; Miodrag Čolić; Nuria S Coll; Mark O Collins; María I Colombo; Daniel A Colón-Ramos; Lydie Combaret; Sergio Comincini; Márcia R Cominetti; Antonella Consiglio; Andrea Conte; Fabrizio Conti; Viorica Raluca Contu; Mark R Cookson; Kevin M Coombs; Isabelle Coppens; Maria Tiziana Corasaniti; Dale P Corkery; Nils Cordes; Katia Cortese; Maria do Carmo Costa; Sarah Costantino; Paola Costelli; Ana Coto-Montes; Peter J Crack; Jose L Crespo; Alfredo Criollo; Valeria Crippa; Riccardo Cristofani; Tamas Csizmadia; Antonio Cuadrado; Bing Cui; Jun Cui; Yixian Cui; Yong Cui; Emmanuel Culetto; Andrea C Cumino; Andrey V Cybulsky; Mark J Czaja; Stanislaw J Czuczwar; Stefania D'Adamo; Marcello D'Amelio; Daniela D'Arcangelo; Andrew C D'Lugos; Gabriella D'Orazi; James A da Silva; Hormos Salimi Dafsari; Ruben K Dagda; Yasin Dagdas; Maria Daglia; Xiaoxia Dai; Yun Dai; Yuyuan Dai; Jessica Dal Col; Paul Dalhaimer; Luisa Dalla Valle; Tobias Dallenga; Guillaume Dalmasso; Markus Damme; Ilaria Dando; Nico P Dantuma; April L Darling; Hiranmoy Das; Srinivasan Dasarathy; Santosh K Dasari; Srikanta Dash; Oliver Daumke; Adrian N Dauphinee; Jeffrey S Davies; Valeria A Dávila; Roger J Davis; Tanja Davis; Sharadha Dayalan Naidu; Francesca De Amicis; Karolien De Bosscher; Francesca De Felice; Lucia De Franceschi; Chiara De Leonibus; Mayara G de Mattos Barbosa; Guido R Y De Meyer; Angelo De Milito; Cosimo De Nunzio; Clara De Palma; Mauro De Santi; Claudio De Virgilio; Daniela De Zio; Jayanta Debnath; Brian J DeBosch; Jean-Paul Decuypere; Mark A Deehan; Gianluca Deflorian; James DeGregori; Benjamin Dehay; Gabriel Del Rio; Joe R Delaney; Lea M D Delbridge; Elizabeth Delorme-Axford; M Victoria Delpino; Francesca Demarchi; Vilma Dembitz; Nicholas D Demers; Hongbin Deng; Zhiqiang Deng; Joern Dengjel; Paul Dent; Donna Denton; Melvin L DePamphilis; Channing J Der; Vojo Deretic; Albert Descoteaux; Laura Devis; Sushil Devkota; Olivier Devuyst; Grant Dewson; Mahendiran Dharmasivam; Rohan Dhiman; Diego di Bernardo; Manlio Di Cristina; Fabio Di Domenico; Pietro Di Fazio; Alessio Di Fonzo; Giovanni Di Guardo; Gianni M Di Guglielmo; Luca Di Leo; Chiara Di Malta; Alessia Di Nardo; Martina Di Rienzo; Federica Di Sano; George Diallinas; Jiajie Diao; Guillermo Diaz-Araya; Inés Díaz-Laviada; Jared M Dickinson; Marc Diederich; Mélanie Dieudé; Ivan Dikic; Shiping Ding; Wen-Xing Ding; Luciana Dini; Jelena Dinić; Miroslav Dinic; Albena T Dinkova-Kostova; Marc S Dionne; Jörg H W Distler; Abhinav Diwan; Ian M C Dixon; Mojgan Djavaheri-Mergny; Ina Dobrinski; Oxana Dobrovinskaya; Radek Dobrowolski; Renwick C J Dobson; Jelena Đokić; Serap Dokmeci Emre; Massimo Donadelli; Bo Dong; Xiaonan Dong; Zhiwu Dong; Gerald W Dorn Ii; Volker Dotsch; Huan Dou; Juan Dou; Moataz Dowaidar; Sami Dridi; Liat Drucker; Ailian Du; Caigan Du; Guangwei Du; Hai-Ning Du; Li-Lin Du; André du Toit; Shao-Bin Duan; Xiaoqiong Duan; Sónia P Duarte; Anna Dubrovska; Elaine A Dunlop; Nicolas Dupont; Raúl V Durán; Bilikere S Dwarakanath; Sergey A Dyshlovoy; Darius Ebrahimi-Fakhari; Leopold Eckhart; Charles L Edelstein; Thomas Efferth; Eftekhar Eftekharpour; Ludwig Eichinger; Nabil Eid; Tobias Eisenberg; N Tony Eissa; Sanaa Eissa; Miriam Ejarque; Abdeljabar El Andaloussi; Nazira El-Hage; Shahenda El-Naggar; Anna Maria Eleuteri; Eman S El-Shafey; Mohamed Elgendy; Aristides G Eliopoulos; María M Elizalde; Philip M Elks; Hans-Peter Elsasser; Eslam S Elsherbiny; Brooke M Emerling; N C Tolga Emre; Christina H Eng; Nikolai Engedal; Anna-Mart Engelbrecht; Agnete S T Engelsen; Jorrit M Enserink; Ricardo Escalante; Audrey Esclatine; Mafalda Escobar-Henriques; Eeva-Liisa Eskelinen; Lucile Espert; Makandjou-Ola Eusebio; Gemma Fabrias; Cinzia Fabrizi; Antonio Facchiano; Francesco Facchiano; Bengt Fadeel; Claudio Fader; Alex C Faesen; W Douglas Fairlie; Alberto Falcó; Bjorn H Falkenburger; Daping Fan; Jie Fan; Yanbo Fan; Evandro F Fang; Yanshan Fang; Yognqi Fang; Manolis Fanto; Tamar Farfel-Becker; Mathias Faure; Gholamreza Fazeli; Anthony O Fedele; Arthur M Feldman; Du Feng; Jiachun Feng; Lifeng Feng; Yibin Feng; Yuchen Feng; Wei Feng; Thais Fenz Araujo; Thomas A Ferguson; Álvaro F Fernández; Jose C Fernandez-Checa; Sonia Fernández-Veledo; Alisdair R Fernie; Anthony W Ferrante; Alessandra Ferraresi; Merari F Ferrari; Julio C B Ferreira; Susan Ferro-Novick; Antonio Figueras; Riccardo Filadi; Nicoletta Filigheddu; Eduardo Filippi-Chiela; Giuseppe Filomeni; Gian Maria Fimia; Vittorio Fineschi; Francesca Finetti; Steven Finkbeiner; Edward A Fisher; Paul B Fisher; Flavio Flamigni; Steven J Fliesler; Trude H Flo; Ida Florance; Oliver Florey; Tullio Florio; Erika Fodor; Carlo Follo; Edward A Fon; Antonella Forlino; Francesco Fornai; Paola Fortini; Anna Fracassi; Alessandro Fraldi; Brunella Franco; Rodrigo Franco; Flavia Franconi; Lisa B Frankel; Scott L Friedman; Leopold F Fröhlich; Gema Frühbeck; Jose M Fuentes; Yukio Fujiki; Naonobu Fujita; Yuuki Fujiwara; Mitsunori Fukuda; Simone Fulda; Luc Furic; Norihiko Furuya; Carmela Fusco; Michaela U Gack; Lidia Gaffke; Sehamuddin Galadari; Alessia Galasso; Maria F Galindo; Sachith Gallolu Kankanamalage; Lorenzo Galluzzi; Vincent Galy; Noor Gammoh; Boyi Gan; Ian G Ganley; Feng Gao; Hui Gao; Minghui Gao; Ping Gao; Shou-Jiang Gao; Wentao Gao; Xiaobo Gao; Ana Garcera; Maria Noé Garcia; Verónica E Garcia; Francisco García-Del Portillo; Vega Garcia-Escudero; Aracely Garcia-Garcia; Marina Garcia-Macia; Diana García-Moreno; Carmen Garcia-Ruiz; Patricia García-Sanz; Abhishek D Garg; Ricardo Gargini; Tina Garofalo; Robert F Garry; Nils C Gassen; Damian Gatica; Liang Ge; Wanzhong Ge; Ruth Geiss-Friedlander; Cecilia Gelfi; Pascal Genschik; Ian E Gentle; Valeria Gerbino; Christoph Gerhardt; Kyla Germain; Marc Germain; David A Gewirtz; Elham Ghasemipour Afshar; Saeid Ghavami; Alessandra Ghigo; Manosij Ghosh; Georgios Giamas; Claudia Giampietri; Alexandra Giatromanolaki; Gary E Gibson; Spencer B Gibson; Vanessa Ginet; Edward Giniger; Carlotta Giorgi; Henrique Girao; Stephen E Girardin; Mridhula Giridharan; Sandy Giuliano; Cecilia Giulivi; Sylvie Giuriato; Julien Giustiniani; Alexander Gluschko; Veit Goder; Alexander Goginashvili; Jakub Golab; David C Goldstone; Anna Golebiewska; Luciana R Gomes; Rodrigo Gomez; Rubén Gómez-Sánchez; Maria Catalina Gomez-Puerto; Raquel Gomez-Sintes; Qingqiu Gong; Felix M Goni; Javier González-Gallego; Tomas Gonzalez-Hernandez; Rosa A Gonzalez-Polo; Jose A Gonzalez-Reyes; Patricia González-Rodríguez; Ing Swie Goping; Marina S Gorbatyuk; Nikolai V Gorbunov; Kıvanç Görgülü; Roxana M Gorojod; Sharon M Gorski; Sandro Goruppi; Cecilia Gotor; Roberta A Gottlieb; Illana Gozes; Devrim Gozuacik; Martin Graef; Markus H Gräler; Veronica Granatiero; Daniel Grasso; Joshua P Gray; Douglas R Green; Alexander Greenhough; Stephen L Gregory; Edward F Griffin; Mark W Grinstaff; Frederic Gros; Charles Grose; Angelina S Gross; Florian Gruber; Paolo Grumati; Tilman Grune; Xueyan Gu; Jun-Lin Guan; Carlos M Guardia; Kishore Guda; Flora Guerra; Consuelo Guerri; Prasun Guha; Carlos Guillén; Shashi Gujar; Anna Gukovskaya; Ilya Gukovsky; Jan Gunst; Andreas Günther; Anyonya R Guntur; Chuanyong Guo; Chun Guo; Hongqing Guo; Lian-Wang Guo; Ming Guo; Pawan Gupta; Shashi Kumar Gupta; Swapnil Gupta; Veer Bala Gupta; Vivek Gupta; Asa B Gustafsson; David D Gutterman; Ranjitha H B; Annakaisa Haapasalo; James E Haber; Aleksandra Hać; Shinji Hadano; Anders J Hafrén; Mansour Haidar; Belinda S Hall; Gunnel Halldén; Anne Hamacher-Brady; Andrea Hamann; Maho Hamasaki; Weidong Han; Malene Hansen; Phyllis I Hanson; Zijian Hao; Masaru Harada; Ljubica Harhaji-Trajkovic; Nirmala Hariharan; Nigil Haroon; James Harris; Takafumi Hasegawa; Noor Hasima Nagoor; Jeffrey A Haspel; Volker Haucke; Wayne D Hawkins; Bruce A Hay; Cole M Haynes; Soren B Hayrabedyan; Thomas S Hays; Congcong He; Qin He; Rong-Rong He; You-Wen He; Yu-Ying He; Yasser Heakal; Alexander M Heberle; J Fielding Hejtmancik; Gudmundur Vignir Helgason; Vanessa Henkel; Marc Herb; Alexander Hergovich; Anna Herman-Antosiewicz; Agustín Hernández; Carlos Hernandez; Sergio Hernandez-Diaz; Virginia Hernandez-Gea; Amaury Herpin; Judit Herreros; Javier H Hervás; Daniel Hesselson; Claudio Hetz; Volker T Heussler; Yujiro Higuchi; Sabine Hilfiker; Joseph A Hill; William S Hlavacek; Emmanuel A Ho; Idy H T Ho; Philip Wing-Lok Ho; Shu-Leong Ho; Wan Yun Ho; G Aaron Hobbs; Mark Hochstrasser; Peter H M Hoet; Daniel Hofius; Paul Hofman; Annika Höhn; Carina I Holmberg; Jose R Hombrebueno; Chang-Won Hong Yi-Ren Hong; Lora V Hooper; Thorsten Hoppe; Rastislav Horos; Yujin Hoshida; I-Lun Hsin; Hsin-Yun Hsu; Bing Hu; Dong Hu; Li-Fang Hu; Ming Chang Hu; Ronggui Hu; Wei Hu; Yu-Chen Hu; Zhuo-Wei Hu; Fang Hua; Jinlian Hua; Yingqi Hua; Chongmin Huan; Canhua Huang; Chuanshu Huang; Chuanxin Huang; Chunling Huang; Haishan Huang; Kun Huang; Michael L H Huang; Rui Huang; Shan Huang; Tianzhi Huang; Xing Huang; Yuxiang Jack Huang; Tobias B Huber; Virginie Hubert; Christian A Hubner; Stephanie M Hughes; William E Hughes; Magali Humbert; Gerhard Hummer; James H Hurley; Sabah Hussain; Salik Hussain; Patrick J Hussey; Martina Hutabarat; Hui-Yun Hwang; Seungmin Hwang; Antonio Ieni; Fumiyo Ikeda; Yusuke Imagawa; Yuzuru Imai; Carol Imbriano; Masaya Imoto; Denise M Inman; Ken Inoki; Juan Iovanna; Renato V Iozzo; Giuseppe Ippolito; Javier E Irazoqui; Pablo Iribarren; Mohd Ishaq; Makoto Ishikawa; Nestor Ishimwe; Ciro Isidoro; Nahed Ismail; Shohreh Issazadeh-Navikas; Eisuke Itakura; Daisuke Ito; Davor Ivankovic; Saška Ivanova; Anand Krishnan V Iyer; José M Izquierdo; Masanori Izumi; Marja Jäättelä; Majid Sakhi Jabir; William T Jackson; Nadia Jacobo-Herrera; Anne-Claire Jacomin; Elise Jacquin; Pooja Jadiya; Hartmut Jaeschke; Chinnaswamy Jagannath; Arjen J Jakobi; Johan Jakobsson; Bassam Janji; Pidder Jansen-Dürr; Patric J Jansson; Jonathan Jantsch; Sławomir Januszewski; Alagie Jassey; Steve Jean; Hélène Jeltsch-David; Pavla Jendelova; Andreas Jenny; Thomas E Jensen; Niels Jessen; Jenna L Jewell; Jing Ji; Lijun Jia; Rui Jia; Liwen Jiang; Qing Jiang; Richeng Jiang; Teng Jiang; Xuejun Jiang; Yu Jiang; Maria Jimenez-Sanchez; Eun-Jung Jin; Fengyan Jin; Hongchuan Jin; Li Jin; Luqi Jin; Meiyan Jin; Si Jin; Eun-Kyeong Jo; Carine Joffre; Terje Johansen; Gail V W Johnson; Simon A Johnston; Eija Jokitalo; Mohit Kumar Jolly; Leo A B Joosten; Joaquin Jordan; Bertrand Joseph; Dianwen Ju; Jeong-Sun Ju; Jingfang Ju; Esmeralda Juárez; Delphine Judith; Gábor Juhász; Youngsoo Jun; Chang Hwa Jung; Sung-Chul Jung; Yong Keun Jung; Heinz Jungbluth; Johannes Jungverdorben; Steffen Just; Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Daniel Kaganovich; Alon Kahana; Renate Kain; Shinjo Kajimura; Maria Kalamvoki; Manjula Kalia; Danuta S Kalinowski; Nina Kaludercic; Ioanna Kalvari; Joanna Kaminska; Vitaliy O Kaminskyy; Hiromitsu Kanamori; Keizo Kanasaki; Chanhee Kang; Rui Kang; Sang Sun Kang; Senthilvelrajan Kaniyappan; Tomotake Kanki; Thirumala-Devi Kanneganti; Anumantha G Kanthasamy; Arthi Kanthasamy; Marc Kantorow; Orsolya Kapuy; Michalis V Karamouzis; Md Razaul Karim; Parimal Karmakar; Rajesh G Katare; Masaru Kato; Stefan H E Kaufmann; Anu Kauppinen; Gur P Kaushal; Susmita Kaushik; Kiyoshi Kawasaki; Kemal Kazan; Po-Yuan Ke; Damien J Keating; Ursula Keber; John H Kehrl; Kate E Keller; Christian W Keller; Jongsook Kim Kemper; Candia M Kenific; Oliver Kepp; Stephanie Kermorgant; Andreas Kern; Robin Ketteler; Tom G Keulers; Boris Khalfin; Hany Khalil; Bilon Khambu; Shahid Y Khan; Vinoth Kumar Megraj Khandelwal; Rekha Khandia; Widuri Kho; Noopur V Khobrekar; Sataree Khuansuwan; Mukhran Khundadze; Samuel A Killackey; Dasol Kim; Deok Ryong Kim; Do-Hyung Kim; Dong-Eun Kim; Eun Young Kim; Eun-Kyoung Kim; Hak-Rim Kim; Hee-Sik Kim; Jeong Hun Kim; Jin Kyung Kim; Jin-Hoi Kim; Joungmok Kim; Ju Hwan Kim; Keun Il Kim; Peter K Kim; Seong-Jun Kim; Scot R Kimball; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Matthew A King; Kerri J Kinghorn; Conan G Kinsey; Vladimir Kirkin; Lorrie A Kirshenbaum; Sergey L Kiselev; Shuji Kishi; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Richard N Kitsis; Josef T Kittler; Ole Kjaerulff; Peter S Klein; Thomas Klopstock; Jochen Klucken; Helene Knævelsrud; Roland L Knorr; Ben C B Ko; Fred Ko; Jiunn-Liang Ko; Hotaka Kobayashi; Satoru Kobayashi; Ina Koch; Jan C Koch; Ulrich Koenig; Donat Kögel; Young Ho Koh; Masato Koike; Sepp D Kohlwein; Nur M Kocaturk; Masaaki Komatsu; Jeannette König; Toru Kono; Benjamin T Kopp; Tamas Korcsmaros; Gözde Korkmaz; Viktor I Korolchuk; Mónica Suárez Korsnes; Ali Koskela; Janaiah Kota; Yaichiro Kotake; Monica L Kotler; Yanjun Kou; Michael I Koukourakis; Evangelos Koustas; Attila L Kovacs; Tibor Kovács; Daisuke Koya; Tomohiro Kozako; Claudine Kraft; Dimitri Krainc; Helmut Krämer; Anna D Krasnodembskaya; Carole Kretz-Remy; Guido Kroemer; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Sabine Kuenen; Lars Kuerschner; Thomas Kukar; Ajay Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Sharad Kumar; Shinji Kume; Caroline Kumsta; Chanakya N Kundu; Mondira Kundu; Ajaikumar B Kunnumakkara; Lukasz Kurgan; Tatiana G Kutateladze; Ozlem Kutlu; SeongAe Kwak; Ho Jeong Kwon; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert La Spada; Patrick Labonté; Sylvain Ladoire; Ilaria Laface; Frank Lafont; Diane C Lagace; Vikramjit Lahiri; Zhibing Lai; Angela S Laird; Aparna Lakkaraju; Trond Lamark; Sheng-Hui Lan; Ane Landajuela; Darius J R Lane; Jon D Lane; Charles H Lang; Carsten Lange; Ülo Langel; Rupert Langer; Pierre Lapaquette; Jocelyn Laporte; Nicholas F LaRusso; Isabel Lastres-Becker; Wilson Chun Yu Lau; Gordon W Laurie; Sergio Lavandero; Betty Yuen Kwan Law; Helen Ka-Wai Law; Rob Layfield; Weidong Le; Herve Le Stunff; Alexandre Y Leary; Jean-Jacques Lebrun; Lionel Y W Leck; Jean-Philippe Leduc-Gaudet; Changwook Lee; Chung-Pei Lee; Da-Hye Lee; Edward B Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Heung Kyu Lee; Jae Man Lee; Jason S Lee; Jin-A Lee; Joo-Yong Lee; Jun Hee Lee; Michael Lee; Min Goo Lee; Min Jae Lee; Myung-Shik Lee; Sang Yoon Lee; Seung-Jae Lee; Stella Y Lee; Sung Bae Lee; Won Hee Lee; Ying-Ray Lee; Yong-Ho Lee; Youngil Lee; Christophe Lefebvre; Renaud Legouis; Yu L Lei; Yuchen Lei; Sergey Leikin; Gerd Leitinger; Leticia Lemus; Shuilong Leng; Olivia Lenoir; Guido Lenz; Heinz Josef Lenz; Paola Lenzi; Yolanda León; Andréia M Leopoldino; Christoph Leschczyk; Stina Leskelä; Elisabeth Letellier; Chi-Ting Leung; Po Sing Leung; Jeremy S Leventhal; Beth Levine; Patrick A Lewis; Klaus Ley; Bin Li; Da-Qiang Li; Jianming Li; Jing Li; Jiong Li; Ke Li; Liwu Li; Mei Li; Min Li; Min Li; Ming Li; Mingchuan Li; Pin-Lan Li; Ming-Qing Li; Qing Li; Sheng Li; Tiangang Li; Wei Li; Wenming Li; Xue Li; Yi-Ping Li; Yuan Li; Zhiqiang Li; Zhiyong Li; Zhiyuan Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Weicheng Liang; Yongheng Liang; YongTian Liang; Guanghong Liao; Lujian Liao; Mingzhi Liao; Yung-Feng Liao; Mariangela Librizzi; Pearl P Y Lie; Mary A Lilly; Hyunjung J Lim; Thania R R Lima; Federica Limana; Chao Lin; Chih-Wen Lin; Dar-Shong Lin; Fu-Cheng Lin; Jiandie D Lin; Kurt M Lin; Kwang-Huei Lin; Liang-Tzung Lin; Pei-Hui Lin; Qiong Lin; Shaofeng Lin; Su-Ju Lin; Wenyu Lin; Xueying Lin; Yao-Xin Lin; Yee-Shin Lin; Rafael Linden; Paula Lindner; Shuo-Chien Ling; Paul Lingor; Amelia K Linnemann; Yih-Cherng Liou; Marta M Lipinski; Saška Lipovšek; Vitor A Lira; Natalia Lisiak; Paloma B Liton; Chao Liu; Ching-Hsuan Liu; Chun-Feng Liu; Cui Hua Liu; Fang Liu; Hao Liu; Hsiao-Sheng Liu; Hua-Feng Liu; Huifang Liu; Jia Liu; Jing Liu; Julia Liu; Leyuan Liu; Longhua Liu; Meilian Liu; Qin Liu; Wei Liu; Wende Liu; Xiao-Hong Liu; Xiaodong Liu; Xingguo Liu; Xu Liu; Xuedong Liu; Yanfen Liu; Yang Liu; Yang Liu; Yueyang Liu; Yule Liu; J Andrew Livingston; Gerard Lizard; Jose M Lizcano; Senka Ljubojevic-Holzer; Matilde E LLeonart; David Llobet-Navàs; Alicia Llorente; Chih Hung Lo; Damián Lobato-Márquez; Qi Long; Yun Chau Long; Ben Loos; Julia A Loos; Manuela G López; Guillermo López-Doménech; José Antonio López-Guerrero; Ana T López-Jiménez; Óscar López-Pérez; Israel López-Valero; Magdalena J Lorenowicz; Mar Lorente; Peter Lorincz; Laura Lossi; Sophie Lotersztajn; Penny E Lovat; Jonathan F Lovell; Alenka Lovy; Péter Lőw; Guang Lu; Haocheng Lu; Jia-Hong Lu; Jin-Jian Lu; Mengji Lu; Shuyan Lu; Alessandro Luciani; John M Lucocq; Paula Ludovico; Micah A Luftig; Morten Luhr; Diego Luis-Ravelo; Julian J Lum; Liany Luna-Dulcey; Anders H Lund; Viktor K Lund; Jan D Lünemann; Patrick Lüningschrör; Honglin Luo; Rongcan Luo; Shouqing Luo; Zhi Luo; Claudio Luparello; Bernhard Lüscher; Luan Luu; Alex Lyakhovich; Konstantin G Lyamzaev; Alf Håkon Lystad; Lyubomyr Lytvynchuk; Alvin C Ma; Changle Ma; Mengxiao Ma; Ning-Fang Ma; Quan-Hong Ma; Xinliang Ma; Yueyun Ma; Zhenyi Ma; Ormond A MacDougald; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; Sandra Maday; Frank Madeo; Muniswamy Madesh; Tobias Madl; Julio Madrigal-Matute; Akiko Maeda; Yasuhiro Maejima; Marta Magarinos; Poornima Mahavadi; Emiliano Maiani; Kenneth Maiese; Panchanan Maiti; Maria Chiara Maiuri; Barbara Majello; Michael B Major; Elena Makareeva; Fayaz Malik; Karthik Mallilankaraman; Walter Malorni; Alina Maloyan; Najiba Mammadova; Gene Chi Wai Man; Federico Manai; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Masoud H Manjili; Ravi Manjithaya; Patricio Manque; Bella B Manshian; Raquel Manzano; Claudia Manzoni; Kai Mao; Cinzia Marchese; Sandrine Marchetti; Anna Maria Marconi; Fabrizio Marcucci; Stefania Mardente; Olga A Mareninova; Marta Margeta; Muriel Mari; Sara Marinelli; Oliviero Marinelli; Guillermo Mariño; Sofia Mariotto; Richard S Marshall; Mark R Marten; Sascha Martens; Alexandre P J Martin; Katie R Martin; Sara Martin; Shaun Martin; Adrián Martín-Segura; Miguel A Martín-Acebes; Inmaculada Martin-Burriel; Marcos Martin-Rincon; Paloma Martin-Sanz; José A Martina; Wim Martinet; Aitor Martinez; Ana Martinez; Jennifer Martinez; Moises Martinez Velazquez; Nuria Martinez-Lopez; Marta Martinez-Vicente; Daniel O Martins; Joilson O Martins; Waleska K Martins; Tania Martins-Marques; Emanuele Marzetti; Shashank Masaldan; Celine Masclaux-Daubresse; Douglas G Mashek; Valentina Massa; Lourdes Massieu; Glenn R Masson; Laura Masuelli; Anatoliy I Masyuk; Tetyana V Masyuk; Paola Matarrese; Ander Matheu; Satoaki Matoba; Sachiko Matsuzaki; Pamela Mattar; Alessandro Matte; Domenico Mattoscio; José L Mauriz; Mario Mauthe; Caroline Mauvezin; Emanual Maverakis; Paola Maycotte; Johanna Mayer; Gianluigi Mazzoccoli; Cristina Mazzoni; Joseph R Mazzulli; Nami McCarty; Christine McDonald; Mitchell R McGill; Sharon L McKenna; BethAnn McLaughlin; Fionn McLoughlin; Mark A McNiven; Thomas G McWilliams; Fatima Mechta-Grigoriou; Tania Catarina Medeiros; Diego L Medina; Lynn A Megeney; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Alfred J Meijer; Annemarie H Meijer; Jakob Mejlvang; Alicia Meléndez; Annette Melk; Gonen Memisoglu; Alexandrina F Mendes; Delong Meng; Fei Meng; Tian Meng; Rubem Menna-Barreto; Manoj B Menon; Carol Mercer; Anne E Mercier; Jean-Louis Mergny; Adalberto Merighi; Seth D Merkley; Giuseppe Merla; Volker Meske; Ana Cecilia Mestre; Shree Padma Metur; Christian Meyer; Hemmo Meyer; Wenyi Mi; Jeanne Mialet-Perez; Junying Miao; Lucia Micale; Yasuo Miki; Enrico Milan; Małgorzata Milczarek; Dana L Miller; Samuel I Miller; Silke Miller; Steven W Millward; Ira Milosevic; Elena A Minina; Hamed Mirzaei; Hamid Reza Mirzaei; Mehdi Mirzaei; Amit Mishra; Nandita Mishra; Paras Kumar Mishra; Maja Misirkic Marjanovic; Roberta Misasi; Amit Misra; Gabriella Misso; Claire Mitchell; Geraldine Mitou; Tetsuji Miura; Shigeki Miyamoto; Makoto Miyazaki; Mitsunori Miyazaki; Taiga Miyazaki; Keisuke Miyazawa; Noboru Mizushima; Trine H Mogensen; Baharia Mograbi; Reza Mohammadinejad; Yasir Mohamud; Abhishek Mohanty; Sipra Mohapatra; Torsten Möhlmann; Asif Mohmmed; Anna Moles; Kelle H Moley; Maurizio Molinari; Vincenzo Mollace; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Costanza Montagna; Mervyn J Monteiro; Andrea Montella; L Ruth Montes; Barbara Montico; Vinod K Mony; Giacomo Monzio Compagnoni; Michael N Moore; Mohammad A Moosavi; Ana L Mora; Marina Mora; David Morales-Alamo; Rosario Moratalla; Paula I Moreira; Elena Morelli; Sandra Moreno; Daniel Moreno-Blas; Viviana Moresi; Benjamin Morga; Alwena H Morgan; Fabrice Morin; Hideaki Morishita; Orson L Moritz; Mariko Moriyama; Yuji Moriyasu; Manuela Morleo; Eugenia Morselli; Jose F Moruno-Manchon; Jorge Moscat; Serge Mostowy; Elisa Motori; Andrea Felinto Moura; Naima Moustaid-Moussa; Maria Mrakovcic; Gabriel Muciño-Hernández; Anupam Mukherjee; Subhadip Mukhopadhyay; Jean M Mulcahy Levy; Victoriano Mulero; 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Siegfried Reipert; Rokeya Sultana Rekha; Hongmei Ren; Jun Ren; Weichao Ren; Tristan Renault; Giorgia Renga; Karen Reue; Kim Rewitz; Bruna Ribeiro de Andrade Ramos; S Amer Riazuddin; Teresa M Ribeiro-Rodrigues; Jean-Ehrland Ricci; Romeo Ricci; Victoria Riccio; Des R Richardson; Yasuko Rikihisa; Makarand V Risbud; Ruth M Risueño; Konstantinos Ritis; Salvatore Rizza; Rosario Rizzuto; Helen C Roberts; Luke D Roberts; Katherine J Robinson; Maria Carmela Roccheri; Stephane Rocchi; George G Rodney; Tiago Rodrigues; Vagner Ramon Rodrigues Silva; Amaia Rodriguez; Ruth Rodriguez-Barrueco; Nieves Rodriguez-Henche; Humberto Rodriguez-Rocha; Jeroen Roelofs; Robert S Rogers; Vladimir V Rogov; Ana I Rojo; Krzysztof Rolka; Vanina Romanello; Luigina Romani; Alessandra Romano; Patricia S Romano; David Romeo-Guitart; Luis C Romero; Montserrat Romero; Joseph C Roney; Christopher Rongo; Sante Roperto; Mathias T Rosenfeldt; Philip Rosenstiel; Anne G Rosenwald; Kevin A Roth; Lynn Roth; Steven Roth; Kasper M A Rouschop; 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Laura Segatori; Nava Segev; Per O Seglen; Iban Seiliez; Ekihiro Seki; Scott B Selleck; Frank W Sellke; Joshua T Selsby; Michael Sendtner; Serif Senturk; Elena Seranova; Consolato Sergi; Ruth Serra-Moreno; Hiromi Sesaki; Carmine Settembre; Subba Rao Gangi Setty; Gianluca Sgarbi; Ou Sha; John J Shacka; Javeed A Shah; Dantong Shang; Changshun Shao; Feng Shao; Soroush Sharbati; Lisa M Sharkey; Dipali Sharma; Gaurav Sharma; Kulbhushan Sharma; Pawan Sharma; Surendra Sharma; Han-Ming Shen; Hongtao Shen; Jiangang Shen; Ming Shen; Weili Shen; Zheni Shen; Rui Sheng; Zhi Sheng; Zu-Hang Sheng; Jianjian Shi; Xiaobing Shi; Ying-Hong Shi; Kahori Shiba-Fukushima; Jeng-Jer Shieh; Yohta Shimada; Shigeomi Shimizu; Makoto Shimozawa; Takahiro Shintani; Christopher J Shoemaker; Shahla Shojaei; Ikuo Shoji; Bhupendra V Shravage; Viji Shridhar; Chih-Wen Shu; Hong-Bing Shu; Ke Shui; Arvind K Shukla; Timothy E Shutt; Valentina Sica; Aleem Siddiqui; Amanda Sierra; Virginia Sierra-Torre; Santiago Signorelli; Payel Sil; 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Motomasa Tanaka; Daolin Tang; Jingfeng Tang; Tie-Shan Tang; Isei Tanida; Zhipeng Tao; Mohammed Taouis; Lars Tatenhorst; Nektarios Tavernarakis; Allen Taylor; Gregory A Taylor; Joan M Taylor; Elena Tchetina; Andrew R Tee; Irmgard Tegeder; David Teis; Natercia Teixeira; Fatima Teixeira-Clerc; Kumsal A Tekirdag; Tewin Tencomnao; Sandra Tenreiro; Alexei V Tepikin; Pilar S Testillano; Gianluca Tettamanti; Pierre-Louis Tharaux; Kathrin Thedieck; Arvind A Thekkinghat; Stefano Thellung; Josephine W Thinwa; V P Thirumalaikumar; Sufi Mary Thomas; Paul G Thomes; Andrew Thorburn; Lipi Thukral; Thomas Thum; Michael Thumm; Ling Tian; Ales Tichy; Andreas Till; Vincent Timmerman; Vladimir I Titorenko; Sokol V Todi; Krassimira Todorova; Janne M Toivonen; Luana Tomaipitinca; Dhanendra Tomar; Cristina Tomas-Zapico; Sergej Tomić; Benjamin Chun-Kit Tong; Chao Tong; Xin Tong; Sharon A Tooze; Maria L Torgersen; Satoru Torii; Liliana Torres-López; Alicia Torriglia; Christina G Towers; Roberto Towns; Shinya Toyokuni; 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Bo Wang; Chao-Yung Wang; Chen Wang; Chenran Wang; Chenwei Wang; Cun-Yu Wang; Dong Wang; Fangyang Wang; Feng Wang; Fengming Wang; Guansong Wang; Han Wang; Hao Wang; Hexiang Wang; Hong-Gang Wang; Jianrong Wang; Jigang Wang; Jiou Wang; Jundong Wang; Kui Wang; Lianrong Wang; Liming Wang; Maggie Haitian Wang; Meiqing Wang; Nanbu Wang; Pengwei Wang; Peipei Wang; Ping Wang; Ping Wang; Qing Jun Wang; Qing Wang; Qing Kenneth Wang; Qiong A Wang; Wen-Tao Wang; Wuyang Wang; Xinnan Wang; Xuejun Wang; Yan Wang; Yanchang Wang; Yanzhuang Wang; Yen-Yun Wang; Yihua Wang; Yipeng Wang; Yu Wang; Yuqi Wang; Zhe Wang; Zhenyu Wang; Zhouguang Wang; Gary Warnes; Verena Warnsmann; Hirotaka Watada; Eizo Watanabe; Maxinne Watchon; Anna Wawrzyńska; Timothy E Weaver; Grzegorz Wegrzyn; Ann M Wehman; Huafeng Wei; Lei Wei; Taotao Wei; Yongjie Wei; Oliver H Weiergräber; Conrad C Weihl; Günther Weindl; Ralf Weiskirchen; Alan Wells; Runxia H Wen; Xin Wen; Antonia Werner; Beatrice Weykopf; Sally P Wheatley; J Lindsay Whitton; Alexander J Whitworth; Katarzyna Wiktorska; Manon E Wildenberg; Tom Wileman; Simon Wilkinson; Dieter Willbold; Brett Williams; Robin S B Williams; Roger L Williams; Peter R Williamson; Richard A Wilson; Beate Winner; Nathaniel J Winsor; Steven S Witkin; Harald Wodrich; Ute Woehlbier; Thomas Wollert; Esther Wong; Jack Ho Wong; Richard W Wong; Vincent Kam Wai Wong; W Wei-Lynn Wong; An-Guo Wu; Chengbiao Wu; Jian Wu; Junfang Wu; Kenneth K Wu; Min Wu; Shan-Ying Wu; Shengzhou Wu; Shu-Yan Wu; Shufang Wu; William K K Wu; Xiaohong Wu; Xiaoqing Wu; Yao-Wen Wu; Yihua Wu; Ramnik J Xavier; Hongguang Xia; Lixin Xia; Zhengyuan Xia; Ge Xiang; Jin Xiang; Mingliang Xiang; Wei Xiang; Bin Xiao; Guozhi Xiao; Hengyi Xiao; Hong-Tao Xiao; Jian Xiao; Lan Xiao; Shi Xiao; Yin Xiao; Baoming Xie; Chuan-Ming Xie; Min Xie; Yuxiang Xie; Zhiping Xie; Zhonglin Xie; Maria Xilouri; Congfeng Xu; En Xu; Haoxing Xu; Jing Xu; JinRong Xu; Liang Xu; Wen Wen Xu; Xiulong Xu; Yu Xue; Sokhna M S Yakhine-Diop; Masamitsu Yamaguchi; Osamu Yamaguchi; Ai Yamamoto; Shunhei Yamashina; Shengmin Yan; Shian-Jang Yan; Zhen Yan; Yasuo Yanagi; Chuanbin Yang; Dun-Sheng Yang; Huan Yang; Huang-Tian Yang; Hui Yang; Jin-Ming Yang; Jing Yang; Jingyu Yang; Ling Yang; Liu Yang; Ming Yang; Pei-Ming Yang; Qian Yang; Seungwon Yang; Shu Yang; Shun-Fa Yang; Wannian Yang; Wei Yuan Yang; Xiaoyong Yang; Xuesong Yang; Yi Yang; Ying Yang; Honghong Yao; Shenggen Yao; Xiaoqiang Yao; Yong-Gang Yao; Yong-Ming Yao; Takahiro Yasui; Meysam Yazdankhah; Paul M Yen; Cong Yi; Xiao-Ming Yin; Yanhai Yin; Zhangyuan Yin; Ziyi Yin; Meidan Ying; Zheng Ying; Calvin K Yip; Stephanie Pei Tung Yiu; Young H Yoo; Kiyotsugu Yoshida; Saori R Yoshii; Tamotsu Yoshimori; Bahman Yousefi; Boxuan Yu; Haiyang Yu; Jun Yu; Jun Yu; Li Yu; Ming-Lung Yu; Seong-Woon Yu; Victor C Yu; W Haung Yu; Zhengping Yu; Zhou Yu; Junying Yuan; Ling-Qing Yuan; Shilin Yuan; Shyng-Shiou F Yuan; Yanggang Yuan; Zengqiang Yuan; Jianbo Yue; Zhenyu Yue; Jeanho Yun; Raymond L Yung; David N Zacks; Gabriele Zaffagnini; Vanessa O Zambelli; Isabella Zanella; Qun S Zang; Sara Zanivan; Silvia Zappavigna; Pilar Zaragoza; Konstantinos S Zarbalis; Amir Zarebkohan; Amira Zarrouk; Scott O Zeitlin; Jialiu Zeng; Ju-Deng Zeng; Eva Žerovnik; Lixuan Zhan; Bin Zhang; Donna D Zhang; Hanlin Zhang; Hong Zhang; Hong Zhang; Honghe Zhang; Huafeng Zhang; Huaye Zhang; Hui Zhang; Hui-Ling Zhang; Jianbin Zhang; Jianhua Zhang; Jing-Pu Zhang; Kalin Y B Zhang; Leshuai W Zhang; Lin Zhang; Lisheng Zhang; Lu Zhang; Luoying Zhang; Menghuan Zhang; Peng Zhang; Sheng Zhang; Wei Zhang; Xiangnan Zhang; Xiao-Wei Zhang; Xiaolei Zhang; Xiaoyan Zhang; Xin Zhang; Xinxin Zhang; Xu Dong Zhang; Yang Zhang; Yanjin Zhang; Yi Zhang; Ying-Dong Zhang; Yingmei Zhang; Yuan-Yuan Zhang; Yuchen Zhang; Zhe Zhang; Zhengguang Zhang; Zhibing Zhang; Zhihai Zhang; Zhiyong Zhang; Zili Zhang; Haobin Zhao; Lei Zhao; Shuang Zhao; Tongbiao Zhao; Xiao-Fan Zhao; Ying Zhao; Yongchao Zhao; Yongliang Zhao; Yuting Zhao; Guoping Zheng; Kai Zheng; Ling Zheng; Shizhong Zheng; Xi-Long Zheng; Yi Zheng; Zu-Guo Zheng; Boris Zhivotovsky; Qing Zhong; Ao Zhou; Ben Zhou; Cefan Zhou; Gang Zhou; Hao Zhou; Hong Zhou; Hongbo Zhou; Jie Zhou; Jing Zhou; Jing Zhou; Jiyong Zhou; Kailiang Zhou; Rongjia Zhou; Xu-Jie Zhou; Yanshuang Zhou; Yinghong Zhou; Yubin Zhou; Zheng-Yu Zhou; Zhou Zhou; Binglin Zhu; Changlian Zhu; Guo-Qing Zhu; Haining Zhu; Hongxin Zhu; Hua Zhu; Wei-Guo Zhu; Yanping Zhu; Yushan Zhu; Haixia Zhuang; Xiaohong Zhuang; Katarzyna Zientara-Rytter; Christine M Zimmermann; Elena Ziviani; Teresa Zoladek; Wei-Xing Zong; Dmitry B Zorov; Antonio Zorzano; Weiping Zou; Zhen Zou; Zhengzhi Zou; Steven Zuryn; Werner Zwerschke; Beate Brand-Saberi; X Charlie Dong; Chandra Shekar Kenchappa; Zuguo Li; Yong Lin; Shigeru Oshima; Yueguang Rong; Judith C Sluimer; Christina L Stallings; Chun-Kit Tong
Journal:  Autophagy       Date:  2021-02-08       Impact factor: 13.391

9.  REST Protects Dopaminergic Neurons from Mitochondrial and α-Synuclein Oligomer Pathology in an Alpha Synuclein Overexpressing BAC-Transgenic Mouse Model.

Authors:  Brent J Ryan; Nora Bengoa-Vergniory; Matthew Williamson; Ecem Kirkiz; Rosalind Roberts; Gabriele Corda; Maximilian Sloan; Saba Saqlain; Marta Cherubini; Josse Poppinga; Helle Bogtofte; Milena Cioroch; Svenja Hester; Richard Wade-Martins
Journal:  J Neurosci       Date:  2021-02-09       Impact factor: 6.167

10.  Acetylation-dependent regulation of TPD52 isoform 1 modulates chaperone-mediated autophagy in prostate cancer.

Authors:  Yizeng Fan; Tao Hou; Yang Gao; Weichao Dan; Tianjie Liu; Bo Liu; Yule Chen; Hongjun Xie; Zhao Yang; Jiaqi Chen; Jin Zeng; Lei Li
Journal:  Autophagy       Date:  2021-05-26       Impact factor: 13.391

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