Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

In situ architecture of neuronal α-Synuclein inclusions

Abstract

The molecular architecture of α-Synuclein (α-Syn) inclusions, pathognomonic of various neurodegenerative disorders, remains unclear. α-Syn inclusions were long thought to consist mainly of α-Syn fibrils, but recent reports pointed to intracellular membranes as the major inclusion component. Here, we use cryo-electron tomography (cryo-ET) to image neuronal α-Syn inclusions in situ at molecular resolution. We show that inclusions seeded by α-Syn aggregates produced recombinantly or purified from patient brain consist of α-Syn fibrils crisscrossing a variety of cellular organelles. Using gold-labeled seeds, we find that aggregate seeding is predominantly mediated by small α-Syn fibrils, from which cytoplasmic fibrils grow unidirectionally. Detailed analysis of membrane interactions revealed that α-Syn fibrils do not contact membranes directly, and that α-Syn does not drive membrane clustering. Altogether, we conclusively demonstrate that neuronal α-Syn inclusions consist of α-Syn fibrils intermixed with membranous organelles, and illuminate the mechanism of aggregate seeding and cellular interaction.

Introduction

α-Synuclein (α-Syn) aggregation is a hallmark of several devastating neurodegenerative disorders, including Parkinson’s disease (PD) and multiple systems atrophy (MSA)1,2. α-Syn aggregates undergo spreading throughout the brain during disease progression1,2,3, suggesting mechanisms of intercellular seeding. Similar to other disease-related protein aggregates, pathological α-Syn is thought to adopt the amyloid fold4. Formation of α-Syn amyloid fibrils is observed in vitro5,6 and fibrillar α-Syn has been purified from patient brains7,8. Early electron microscopy (EM) studies suggested that Lewy bodies9,10,11,12 and glial cytoplasmic inclusions13,14, characteristic of PD and MSA, respectively, are fibrillar. However, conventional EM lacks the resolution to unequivocally determine the molecular identity of these fibrils in situ.

Intriguingly, X-ray diffraction measurements confirmed the presence of amyloid fibrils only in some Lewy bodies15. A recent study using correlative EM on chemically fixed PD brain tissue suggested that cellular membranes were the main component of Lewy bodies, alongside unidentified fibrillar material16. These findings resonated with reports17 that native α-Syn binds lipids, such as synaptic vesicle membranes18, observations that lipids can catalyze α-Syn aggregation in vitro19, and that α-Syn expression in cells is associated with membrane abnormalities20. Thus, the disease relevance of fibrillar (amyloid-like) α-Syn aggregation has been questioned, leading to a model in which the main role of α-Syn in pathological inclusions is to cluster cellular membranes20,21.

Cryo-electron tomography (cryo-ET) is ideally suited to test these new ideas, as it can reveal the molecular architecture of protein aggregates at high resolution within neurons pristinely preserved by vitrification22,23,24. Here, we apply cryo-ET to analyze the fine architecture and cellular interactions of neuronal α-Syn inclusions in situ. We show that α-Syn inclusions consist of α-Syn fibrils intermixed with cellular organelles. However, α-Syn does not link organelles to each other and fibrils do not interact with membranes directly. Furthermore, experiments with gold-labeled extracellular seeds demonstrate that small fibrils are the most seeding-competent species in our preparations.

Results and discussion

Neuronal α-Syn inclusions contain α-Syn fibrils

We performed cryo-ET on neuronal α-Syn aggregates using a well-established seeding paradigm that recapitulates interneuronal spreading and key neuropathological features of Lewy bodies, including the ability to bind amyloid dyes1,25,26,27. Primary mouse neurons were cultured on EM grids, transduced with GFP-α-Syn and incubated with recombinant α-Syn preformed fibrils (PFFs; Supplementary Fig. 1a, b). Unless otherwise stated, all experiments were carried out using the familial A53T α-Syn mutation due to its higher seeding potency28. As reported, seeding of neurons led to the formation of GFP-α-Syn inclusions that were positive for Lewy body markers, including phospho-α-Syn (Ser129) and p62 (Supplementary Fig. 1c, d). GFP-α-Syn inclusions in cell bodies or neurites were targeted for cryo-ET by correlative microscopy and cryo-focused ion beam (cryo-FIB) milling22,23,24,29,30 (Supplementary Fig. 2). In all cases, this analysis revealed large fibrillar accumulations at sites of GFP-α-Syn fluorescence (Fig. 1a, d and Supplementary Movie 1). Interestingly, the fibrils appeared to be composed of a core decorated by globular GFP-like densities (Fig. 1b), reminiscent of GFP-labeled polyQ and C9orf72 poly-GA aggregates22,23. The fibrils were clearly distinct from cytoskeletal elements (Fig. 1c). However, in contrast to polyQ and poly-GA inclusions, GFP-α-Syn inclusions were populated by numerous cellular organelles, including endoplasmic reticulum, mitochondria, autophagolysosomal structures, and small vesicles (Fig. 1a, d and Supplementary Movie 1). Thus, the α-Syn inclusions formed in our cellular system recapitulated key molecular and ultrastructural features of PD Lewy bodies and mature Lewy body-like inclusions in culture12,16,31.

Fig. 1: Cryo-ET imaging of α-Syn aggregates seeded by PFFs in neurons.
figure1

a A tomographic slice (thickness 1.8 nm) of an inclusion seeded by PFFs in a neuron expressing GFP-α-Syn. Auto; autophagosome, ER; endoplasmic reticulum, Mito; mitochondrion, Ves; vesicles. Fibrils are marked by red arrowheads. Scale bar: 350 nm. b Magnified view of a fibril with GFP-like densities (green arrowheads) decorating the fibril core. Scale bar: 30 nm. c Magnified views of an actin filament (orange arrowhead) and a microtubule (black arrowhead). Scale bars: 30 nm. d 3D rendering of the tomogram depicted in a showing α-Syn fibrils (red), an autophagosome (cyan), ER (yellow), mitochondria (green), and various vesicles (purple). e A tomographic slice (thickness 1.4 nm) of an inclusion seeded by PFFs in a neuron expressing p62-RFP. Scale bar: 350 nm. f Magnified view of a fibril. Note that fibrils in cells not expressing GFP-α-Syn are not decorated by GFP-like densities. Scale bar: 30 nm. g Magnified view of neurofilaments (blue arrowheads). Scale bar: 30 nm. h 3D rendering of the tomogram depicted in e. The number of tomograms and biologically independent cryo-ET experiments is listed in Supplementary Table 1. Representative images are shown.

To further investigate the nature of the fibrils observed at sites of GFP-α-Syn fluorescence and avoid possible artifacts caused by GFP-α-Syn overexpression, we next imaged inclusions formed by endogenous α-Syn in neurons seeded by recombinant PFFs. Given the high p62 signal observed in Lewy bodies1,32 and GFP-α-Syn inclusions (Supplementary Fig. 1d), we expressed p62-RFP as a surrogate marker23 of endogenous α-Syn inclusions (Supplementary Fig. 1e) to guide correlative cryo-FIB/ET analysis. Although endogenous α-Syn inclusions were smaller than those formed by GFP-α-Syn (Supplementary Fig. 1c), cryo-ET imaging revealed a similar nanoscale organization, consisting of various organelles crisscrossed by abundant fibrils (Fig. 1e, h). Importantly, the fibrils appeared identical to those observed in GFP-α-Syn inclusions (Fig. 1b), except that they were not decorated by globular densities (Fig. 1f). The fibrils were ~10 nm in diameter, similar to recombinant and patient-derived α-Syn fibrils33,34 and clearly distinct from neurofilaments (Fig. 1g). These data conclusively demonstrate that the fibrils observed in α-Syn inclusions are formed by α-Syn, and argue against a major effect of GFP-α-Syn overexpression on inclusion architecture. Nevertheless, GFP-α-Syn overexpression enhanced the rate of inclusion formation and neuronal toxicity (Supplementary Fig. 1f, g), implicating aggregated α-Syn in neuronal death27.

Recent studies have demonstrated that amyloid fibrils, including those formed by α-Syn, may adopt different conformations when purified from patient brain in comparison to fibrils generated in vitro from recombinant proteins33,35. Therefore, to assess the disease relevance of our findings using recombinant PFFs, we seeded primary neurons expressing GFP-α-Syn with α-Syn aggregates purified from MSA patient brain (Supplementary Fig. 3). Similar to PFFs, MSA seeds triggered the formation of intracellular GFP-α-Syn inclusions positive for phospho-α-Syn (Ser129) and p62 (Supplementary Fig. 3e). Importantly, cryo-ET analysis showed that MSA-seeded neuronal aggregates also consisted of a dense meshwork of α-Syn fibrils interspersed by cellular organelles (Fig. 2a–c). Therefore, our results show that neuronal α-Syn aggregates seeded by MSA patient material are formed by accumulations of α-Syn fibrils intermixed with cellular membranes.

Fig. 2: Cryo-ET imaging of α-Syn aggregates seeded by MSA patient brain material in neurons.
figure2

a A tomographic slice (thickness 1.4 nm) of an inclusion seeded by MSA patient brain material in a neuron expressing GFP-α-Syn. Auto; autophagosome, ER; endoplasmic reticulum, Lyso; lysosome, Mito; mitochondrion, MVB; multivesicular body, Ves; vesicles. Fibrils are marked by red arrowheads. Scale bar: 350 nm. b 3D rendering of the tomogram depicted in a showing α-Syn fibrils (red), autophagosomes (cyan), ER (yellow), a lysosome (gray), mitochondria (green), multivesicular bodies (orange), and various vesicles (purple). c Magnified view of a fibril with GFP-like densities (green arrowheads) decorating the fibril core. Scale bar: 30 nm. d Histogram of fibril length. n = 1592 (GFP-α-Syn + PFFs), 220 (endogenous α-Syn + PFFs), and 721 (GFP-α-Syn + MSA) fibrils analyzed over three biologically independent experiments for all conditions. e Box plots of cytosolic fibril density within inclusions, defined as the fraction of cytosolic volume occupied by fibrils. The horizontal lines of each box represent 75% (top), 50% (middle), and 25% (bottom) of the values, and a black square the average value. Whiskers represent 1.5× standard deviation and black diamonds the individual data points. n = 6 (GFP-α-Syn + PFFs), 4 (endogenous α-Syn + PFFs), and 5 (GFP-α-Syn + MSA) tomograms analyzed over three biologically independent experiments for all conditions; n.s., ** and *** indicate respectively p = 0.4, p = 0.0010, and p = 4 × 10−4 by one-way ANOVA. The number of fibrils, tomograms, and biologically independent cryo-ET experiments is listed in Supplementary Table 1. Representative images are shown in ac. Source data for d and e are provided as a Source data file.

We further investigated possible morphological differences between fibrils seeded by PFFs and MSA aggregates, and in neurons expressing endogenous α-Syn or GFP-α-Syn. In all cases, mean fibril length was ~250 nm (Fig. 2d and Supplementary Table 1). However, fibril density within inclusions, defined as the fraction of cytosolic volume occupied by fibrils, was significantly higher in cells expressing GFP-α-Syn (Fig. 2e and Supplementary Table 1). This was likely due to the higher expression level of this construct, resulting in a higher aggregate load (Supplementary Fig. 1c, f). We next calculated the persistence length of the fibrils to investigate their mechanical properties. Interestingly, whereas PFF-seeded fibrils in neurons expressing GFP-α-Syn or endogenous α-Syn were almost identical in persistence length (Supplementary Fig. 4), MSA-seeded GFP-α-Syn fibrils displayed a considerably lower persistence length (Supplementary Fig. 4), reflecting higher structural flexibility. These values are in the range of those measured for α-Syn36 and tau37 fibrils in vitro, as well as for polyQ fibrils in situ22. Our measurements are also consistent with single-particle studies reporting a higher twist, indicative of higher flexibility38, for MSA-derived fibrils33 (~60 nm) than for most structures of recombinant fibrils34 (90–120 nm). Thus, different types of exogenous α-Syn aggregates seed neuronal inclusions with different mechano-physical properties.

Small fibrils drive seeding of neuronal α-Syn inclusions

The seeding of intracellular aggregation by extracellular aggregates may underlie the spreading of pathology across different brain regions during the progression of various neurodegenerative diseases, including synucleinopathies1,2,3,39. To gain a better mechanistic understanding of the seeding process, we tracked the fate of extracellular gold-labeled α-Syn seeds upon internalization into neurons expressing GFP-α-Syn. In this case, we used WT PFFs as they allowed higher labeling efficiency. Recombinant WT α-Syn fibrils were conjugated to 3-nm gold beads via NHS ester coupling, resulting in densely gold-labeled PFFs (Fig. 3a) that efficiently seeded the formation of neuronal GFP-α-Syn inclusions (Supplementary Fig. 5a). Some of these experiments were also carried out in a SH-SY5Y cell line stably expressing GFP-α-Syn as a simpler model system (Supplementary Fig. 6). Interestingly, cryo-ET analysis of inclusions seeded by gold-labeled PFFs showed GFP-α-Syn fibrils with one end decorated by three to ten gold particles (Fig. 3b, c), indicating that exogenous seeds triggered the fibrillation of cellular α-Syn in a polarized manner, consistent with the polar structures of recombinant α-Syn fibrils34. Although patient-derived α-Syn fibrils are polar as well7,8,33,40, it remains to be established whether disease-related seeds also trigger unidirectional fibril growth in cells. Our data also show that, in our experimental conditions, small α-Syn fibrils are the most seeding-competent species, in agreement with previous results41. Therefore, despite the presence of abundant large fibrils in the exogenously added PFF material (Fig. 3a), these species are apparently not efficiently internalized. On the other hand, given the mechano-physical differences between neuronal fibrils growing from PFFs and MSA seeds (Supplementary Fig. 4), the seeding-competent species likely contain the necessary information to confer these structural features. Although α-Syn strains can be transmitted between cells in vitro and in vivo3, the cellular environment may also modify the strain characteristics42. Thus, higher resolution data are needed to elucidate to what extent the structure of the seed is templated in the aggregates seeded within cells.

Fig. 3: Seeding of α-Syn aggregates by gold-labeled PFFs.
figure3

a Cryo-electron microscopy image of PFFs labeled with 3-nm gold beads (orange arrowheads) via NHS esterification. Scale bar: 30 nm. Three biologically independent experiments were performed. The average distance between gold bead centers was 35 ± 4 Å (mean ± sd). Considering a typical distance between β strands of ~4.8 Å within α-Syn fibrils33,34, this corresponds to labeling every seventh or eighth β-strand on the fibril. b Tomographic slices (thickness 1.8 nm) showing α-Syn fibrils seeded by gold-labeled PFFs within SH-SY5Y cells expressing GFP-α-Syn. Arrows mark the direction of fibril growth from the gold-labeled seed. Scale bar: 40 nm. Two biologically independent experiments were performed. c Schematic of the hypothetical molecular organization of α-Syn fibrils seeded by gold-labeled PFFs. d A tomographic slice (thickness 1.4 nm; left) and 3D rendering of the tomogram (right) showing gold-labeled PFFs within the lumen of a lysosome in a primary neuron expressing GFP-α-Syn. Lyso; lysosome. Lysosomal membranes (gray), gold particles labeling the PFF (yellow). Scale bar: 70 nm. e Tomographic slices (thickness 1.4 nm) at different Z heights showing gold-labeled PFFs found within the membrane of a vesicle (Ves) and seeding an α-Syn fibril (arrow) in a primary neuron expressing GFP-α-Syn. Scale bar: 30 nm. Two biologically independent experiments were performed. f 3D rendering of the tomogram depicted in e in two different orientations. Vesicle membrane (purple), α-Syn fibril (red), gold particles (yellow). Representative images are shown in a, b, d, e, and f.

Gold-labeled α-Syn was also observed within the lumen of endolysosomal compartments (Fig. 3d and Supplementary Fig. 5b) and at their membrane (Fig. 3e and Supplementary Fig. 5b). Although the growth of α-Syn fibrils was occasionally observed directly at such membrane-bound gold-labeled structures (Fig. 3e, f), most gold-labeled fibrils were cytosolic (Fig. 3b). These data are in agreement with a model where small α-Syn fibrils entering the cell are targeted to endosomes, from which they escape and trigger intracellular growth of α-Syn fibrils3,43.

α-Syn does not cluster cellular membranes within inclusions

The affinity of α-Syn for lipids17 has led to the proposal that α-Syn drives the accumulation of cellular membranes in Lewy bodies16,20,21, e.g., by fibril-membrane contacts as observed for polyQ fibrils22. Such contacts existed within α-Syn inclusions (Supplementary Fig. 7a, b), but they were extremely rare and did not seem to cause the kind of membrane deformations (Supplementary Fig. 7a) seen with polyQ22. Although we found a few examples of fibrils contacting membranes at areas of high curvature (Supplementary Fig. 7b), such areas also existed in the absence of fibril contacts (Supplementary Fig. 7c). Thus, apparent fibril-membrane contacts seemed to be mainly a consequence of the crowded cellular environment. To test this hypothesis, we computationally introduced random shifts and rotations to the experimentally determined positions of α-Syn fibrils within the tomograms. This analysis revealed that close fibril-membrane distances (<20 nm) were significantly more frequent in random simulations than in the experimental data (Fig. 4a, b, Supplementary Fig. 7d, and Supplementary Table 1). Together, these results indicate that direct interactions between α-Syn fibrils and membranes are infrequent, and unlikely to induce substantial membrane clustering.

Fig. 4: Quantification of fibril-membrane and inter-membrane distances within α-Syn inclusions.
figure4

a Visualization of fibril-membrane distances in the tomogram rendered in Fig. 1d. Organelles are shown in gray, and fibrils are color-coded according to their distance to the nearest organelle membrane. b Histogram of nearest distances between a fibril and a membrane in the pooled experimental data (n = 15 tomograms, including 6 of GFP-α-Syn + PFFs, 4 of endogenous α-Syn + PFFs, and 5 of GFP-α-Syn + MSA over three biologically independent experiments for all conditions), and in simulations shifting and rotating fibrils from their experimentally determined positions (200 simulations for each experimental tomogram). Solid lines represent the median of all tomograms. The shaded areas represent 5–95% confidence intervals. Fibril-membrane distances <20 nm are significantly more abundant in the simulated data (p = 0.03 by two-tailed Kolmogorov–Smirnov test). See also Supplementary Table 1. c Histogram of inter-membrane nearest distances for all organellar membranes in the tomograms. Inter-membrane distances <20 nm are not significantly different within α-Syn inclusions than in control untransduced and unseeded cells (p = 0. 4 by two-tailed Kolmogorov–Smirnov test). Solid lines represent medians, shaded areas represent 5–95% confidence intervals. n = 5 (untransduced − PFFs), 6 (GFP-α-Syn + PFFs), 4 (endogenous α-Syn + PFFs), and 5 (GFP-α-Syn + MSA) tomograms analyzed over two (untransduced − PFFs) or three biologically independent experiments (GFP-α-Syn + PFFs, endogenous α-Syn + PFFs, and GFP-α-Syn + MSA). The number of tomograms and biologically independent cryo-ET experiments is listed in Supplementary Table 1. A representative image is shown in a. Source data for b and c are provided as a Source data file.

However, the previously suggested membrane clustering20,21 could also be driven by α-Syn species smaller than fibrils, which cannot be readily detected by cryo-ET. For example, soluble α-Syn molecules can cluster vesicles at distances shorter than 15 nm in vitro44. To explore this possibility, we compared the shortest distances between all cellular membranes in tomograms of α-Syn inclusions and in untransduced, unseeded control neurons. This analysis revealed that close contacts (<20 nm) between membranes were similarly common within α-Syn inclusions as in control cells (Fig. 4c, Supplementary Fig. 7e, and Supplementary Table 1), arguing against α-Syn-mediated membrane clustering in inclusions.

Altogether, we show that neuronal α-Syn aggregates consist of both α-Syn fibrils and various cellular membranes. In agreement with a recent report31, our findings suggest that the fibrils observed in pathological α-Syn inclusions12,13,14,16 are indeed α-Syn fibrils. Intracellular α-Syn aggregation can be triggered by internalized small fibrils, suggesting that this mechanism is relevant to the spreading of aggregate pathology. However, α-Syn fibrils do not interact with membranes and do not seem to induce the type of membrane damage observed for other amyloids22,45. At the same time, α-Syn does not drive membrane clustering directly. Thus, it remains to be elucidated why membrane structures are enriched in α-Syn inclusions12,16,31, in comparison with other neurotoxic protein aggregates22,23,24. An intriguing possibility is that the abundance of vesicular organelles in α-Syn inclusions is caused by the impairment of the autophagic and endolysosomal machineries by α-Syn aggregation46.

Methods

Plasmids

Plasmids for the expression of recombinant α-Syn were: pT7-7 α-Syn (Addgene plasmid #36046 (ref. 47); http://n2t.net/addgene:36046; RRID: Addgene_36046) and pT7-7 α-SynA53T (Addgene plasmid #105727 (ref. 48); http://n2t.net/addgene:105727; RRID: Addgene_105727; gift from Hilal Lashuel).

Plasmid EGFP-α-SynA53T (Addgene plasmid #40823 (ref. 49); http://n2t.net/addgene:40823; RRID: Addgene_40823) was used for expression in SH-SY5Y cells (gift from David Rubinsztein).

The following plasmids were used for viral transfections: pFhSynW2 (ref. 50; GFP-SynA53T-Flag, Flag-GFP), FU3a (p62-tagRFP)23, psPAX2 (a gift from Didier Trono; Addgene plasmid #12260; http://n2t.net/addgene:12260; RRID: Addgene_12260), and pVsVg51. pFhSynW2 and pVsVg were a gift of Dieter Edbauer.

pFhSynW2 GFP-synA53T-Flag was cloned by inserting the GFP-α-SynA53T sequence from plasmid EGFP-α-SynA53T between the XmaI and NheI restriction sites, using the primers described in Supplementary Table 2.

pFhSynW2 Flag-GFP was cloned by inserting the GFP sequence from the plasmid EGFP-α-SynA53T between the BamHI and EcoRI restriction sites, using the primers described in Supplementary Table 2.

Antibodies

The following primary antibodies were used: GFP (A10262, Thermo Fisher, 1:500; RRID: AB_2534023), K48-linked ubiquitin (05-1307, Millipore; 1:500; RRID: AB_1587578), MAP2 (NB300-213, Novus Biologicals; 1:500; RRID: AB_2138178), p62 (ab56416, Abcam; 1:200; RRID: AB_945626), phospho-α-Syn Ser129 (ab51253, Abcam; 1:500 for immunofluorescence, 1:2500 for western blot; RRID: AB_869973), α-Syn (610787, BD Biosciences; 1:1000; RRID: AB_398108), and p62 lck ligand (610832, BD Biosciences; 1:100; RRID: AB_398151).

The following secondary antibodies were used: Alexa Fluor 488 AffiniPure Donkey anti-chicken (703-545-155, Jackson ImmunoResearch; 1:250), Alexa Fluor 647 AffiniPure Donkey anti-chicken (703-605-155, Jackson ImmunoResearch; 1:250), Cy3 AffiniPure Donkey anti-rabbit (711-165-152, Jackson ImmunoResearch; 1:250), Alexa Fluor 488 AffiniPure Donkey anti-mouse (715-545-150, Jackson ImmunoResearch; 1:250), Cy3-conjugated AffiniPure Goat anti-mouse IgG (115-165-003, Jackson ImmunoResearch; 1:1000), Cy3-conjugated AffiniPure Goat anti-rabbit (111-165-045, Dianova; 1:1000; RRID: AB_2338003), and HRP-conjugated goat anti-rabbit (A9169, Sigma; 1:5000; RRID: AB_258434).

Recombinant α-Syn purification and fibril assembly

Recombinant human WT and A53T α-Syn were purified as follows based on a published procedure25 (see https://edmond.mpdl.mpg.de/imeji/collection/dBIbxxKvWaYMpyhI for a detailed protocol). BL21 (DE3) Escherichia coli (Agilent) were transformed with pT7-7 α-Syn or pT7-7 α-SynA53T. Protein expression was induced by 1 mM IPTG for 4 h. Bacteria were harvested and pellets were lysed in high salt (HS) buffer (750 mM NaCl, 50 mM Tris, pH 7.6, and 1 mM 2,2′,2″,2′′′-(ethane-1,2-diyldinitrilo) tetraacetic acid (EDTA)). The lysate was sonicated for 5 min and boiled subsequently. The boiled suspension was centrifuged, the supernatant dialyzed in 50 mM NaCl, 10 mM Tris, and 1 mM EDTA, and purified by size-exclusion chromatography (Superdex 200). Fractions were collected and those containing α-Syn were combined. The combined fractions were applied onto an anion exchange column (MonoQ). α-Syn was purified by a gradient ranging from 50 mM to 1 M NaCl. Fractions containing α-Syn were combined and dialyzed in 150 mM KCl and 50 mM Tris, pH 7.6.

For fibril assembly, purified α-Syn monomers (5 mg/ml) were centrifuged at high speed (100,000 × g) for 1 h. The supernatant was transferred into a new reaction tube, incubated with constant agitation (1000 r.p.m.) at 37 °C for 24 h. The resulting fibrils were diluted 1:20 in PBS and sonicated for 60 s (0.5 s on, 0.5 s off) using a Branson sonifier. The presence of α-Syn fibrils was confirmed by negative stain EM. Except for gold labeling experiments, cells were seeded using A53T α-Syn PFFs.

Labeling of fibrils with 3 nm monovalent gold beads (Nanopartz) via NHS ester coupling was performed, as described in the manufacturer’s protocol. In brief, WT α-Syn PFFs were dialyzed in PBS and subsequently added to the gold beads. The reaction was facilitated by sonication (as above) and constant agitation at 30 °C for 30 min. Labeled PFFs and free gold beads were separated by sequential centrifugation and washing with 0.1% Tween20 and 1% PBS. Labeling of PFFs with gold beads was confirmed by negative stain and cryo-EM.

Immunohistochemistry on MSA patient brain

MSA patient brain tissue was obtained from Neurobiobank Munich (Germany). All autopsy cases of the Neurobiobank Munich are collected on the basis of an informed consent according to the guidelines of the ethics commission of the Ludwig-Maximilians-University Munich, Germany. The experiments performed in this paper were approved by the Max Planck Society’s Ethics Council. The sample was from a male patient who died at the age of 54, 6 years after being diagnosed with a cerebellar type of MSA. Postmortem delay was ~30 h. Brain regions with abundant α-Syn inclusions were identified by postmortem histological examination.

For immunohistochemistry (IHC), mouse monoclonal antibodies against α-Syn and p62 lck ligand were used. Paraffin sections of human brain tissue were deparaffinated and rehydrated. Pretreatment (cooking in cell conditioning solution 1, pH 8 for 30 min for α-Syn IHC or for 56 min in case of p62 IHC), IHC, and counterstaining of nuclei with hematoxylin (Roche) and Bluing reagent (Roche) were performed with the Ventana Bench-Mark XT automated staining system (Ventana), using the UltraView Universal DAB Detection Kit (Roche). For α-Syn, IHC slides were additionally pretreated in 80% formic acid for 15 min after cooking. Slides were coverslipped with Entellan (Merck) mounting medium. Images were recorded with a BX50 microscope (Olympus) using a 40× objective and cellSens 2.1 software (Olympus).

Preparation of sarkosyl-insoluble fraction from MSA patient brain

The sarkosyl-insoluble fraction was prepared as follows based on a published procedure42. Frozen tissue from the basilar part of the pons (1 cm3) was homogenized in HS buffer (50 mM Tris-HCl pH 7.5, 750 mM NaCl, 10 mM NaF, and 5 mM EDTA) with protease and phosphatase inhibitors (Roche), and incubated on ice for 20 min. The homogenate was centrifuged at 100,000 × g for 30 min. The resulting pellet was washed with HS buffer and then re-extracted sequentially with 1% Triton X-100 in HS buffer, 1% Triton X-100 in HS buffer and 30% sucrose, and 1% sarkosyl in HS buffer and finally PBS. The incubation with 1% sarkosyl in HS buffer was performed overnight at 4 °C. The final fraction was sonicated and the presence of α-Syn aggregates was confirmed by immunobloting against phospho-α-Syn (Ser129) upon SDS–PAGE. Uncropped SDS–PAGE and immunoblots are shown in the Source data file.

Cell culture

To create a stable cell line expressing EGFP-α-SynA53T, SH-SY5Y cells (ACC209, DSMZ; RRID: CVCL_0019) were transfected using Lipofectamine 2000 (Thermo Fisher). Cells were cultured in in Dulbecco’s modified Eagle’s medium (DMEM, Biochrom) supplemented with 10% fetal bovine serum (FBS, GIBCO), 2 mM l-glutamine (GIBCO), and 1000 µg/ml geneticin for selection. Polyclonal cell lines were generated by fluorescence-activated cell sorting (FACS) with a BD FACS Aria III using FACSDiva 6.1.3 software. Upon selection, cells were cultured in medium supplemented with 200 µg/ml geneticin (Thermo Fisher) and penicillin/streptomycin (Thermo Fisher).

Cells were seeded as described25 using 300 nM (monomer) of α-SynA53T PFFs or gold-conjugated WT α-Syn PFFs. In brief, sonicated PFFs were diluted in a mixture of 50 µl of Optimem (Biochrom) and 3 µl of Lipofectamine 2000. Subsequently, the suspension was added to 1 ml of cell culture medium.

Lentivirus packaging

HEK293T cells (632180, Lenti-X 293T cell line, Takara; RRID: CVCL_0063) for lentiviral packaging were expanded to 70–85% confluency in DMEM Glutamax (+4.5 g/l d-glucose, -pyruvate) supplemented with 10% FBS (Sigma), 1% G418 (Gibco), 1% NEAA (Thermo Fisher), and 1% Hepes (Biomol). Only low passage cells were used. For lentiviral production, a three-layered 525 cm2 flask (Falcon) was seeded and cells were henceforth cultured in medium without G418. On the following day, cells were transfected with the expression plasmid pFhSynW2 (GFP-SynA53T-Flag, Flag-GFP) or FU3a (p62-tagRFP), and the packaging plasmids psPAX2 and pVsVg using TransIT-Lenti transfection reagent (Mirus). The transfection mix was incubated for 20 min at room temperature (RT) and cell medium was exchanged. A total of 10 ml of transfection mix were added to the flask and incubated overnight. The medium was exchanged on the next day. After 48–52 h, culture medium containing the viral particles was collected and centrifuged for 10 min at 1200 × g. The supernatant was filtered through 0.45 μm pore size filters using 50 ml syringes, and Lenti-X concentrator (Takara) was added. After an overnight incubation at 4 °C, samples were centrifuged at 1500 × g for 45 min at 4 °C, the supernatant was removed, and the virus pellet was resuspended in 600 µl TBS-5 buffer (50 mM Tris-HCl, pH 7.8, 130 mM NaCl, 10 mM KCl, and 5 mM MgCl2). After aliquoting, viruses were stored at −80 °C.

Primary neurons

Primary cortical neurons were prepared from E15.5 CD-1 wild-type mouse embryos of both sexes (breeding line MpiCrlIcr:CD-1). Mice were housed in a specific pathogen-free facility at 22 ± 1,5 °C, 55 ± 5% humidity, 14-h light/10-h dark cycle. All experiments involving mice were performed in accordance with the relevant guidelines and regulations of the Government of Upper Bavaria (Germany). Pregnant females were sacrificed by cervical dislocation, the uterus was removed from the abdominal cavity and placed into a 10 cm sterile Petri dish on ice containing dissection medium, consisting of Hank’s balanced salt solution supplemented with 0.01 M HEPES, 0.01 M MgSO4, and 1% penicillin/streptomycin. Embryos of both sexes were chosen randomly. Each embryo was isolated, heads were quickly cut, and brains were removed from the skull and immersed in ice-cold dissection medium. Cortical hemispheres were dissected and meninges were removed under a stereo-microscope. Cortical tissue from typically six to seven embryos was transferred to a 15 ml sterile tube, and digested with 0.25% trypsin containing 1 mM EDTA and 15 μl 0.1% DNAse I for 20 min at 37 °C. The enzymatic digestion was stopped by removing the supernatant and washing the tissue twice with Neurobasal medium (Invitrogen) containing 5% FBS. The tissue was resuspended in 2 ml medium and triturated to achieve a single-cell suspension. Cells were spun at 130 × g, the supernatant was removed, and the cell pellet was resuspended in Neurobasal medium with 2% B27 (Invitrogen), 1% l-glutamine (Invitrogen), and 1% penicillin/streptomycin (Invitrogen). For immunostaining, neurons were cultured in 24-well plates on 13 mm coverslips coated with 1 mg/ml poly-d-lysine (Sigma) and 1 µg/ml laminin (Thermo Fisher Scientific; 100,000 neurons per well). For thiazolyl blue tetrazolium bromide (MTT) assay, neurons were cultured in 96-well plates coated in the same way (19,000 neurons per well). For Cryo-ET, EM grids were placed in 24-well plates and coated as above (120,000 neurons per well). For lentiviral transduction at DIV 10, viruses were thawed and immediately added to freshly prepared neuronal culture medium. Neurons in 24-well plates received 1 μl of virus/well, while neurons in 96-well plates received 0.15 μl of virus/well. A fifth of the medium from cultured neurons was removed and the equivalent volume of virus-containing medium was added. Three days after transduction, 2 μg/ml of seeds (α-SynA53T PFFs, gold-conjugated WT α-Syn PFFs, or MSA-derived aggregates) were added to the neuronal culture medium.

MTT viability assay

Viability of transduced neurons was determined using MTT (Sigma-Aldrich). Cell medium was exchanged for 100 μl of fresh medium, followed by addition of 20 µl of 5 mg/ml MTT in PBS and incubation for 2–4 h at 37 °C, 5% CO2. Subsequently, 100 μl solubilizer solution (10% SDS and 45% dimethylformamide in water, pH 4.5) was added, and on the following day absorbance was measured at 570 nm. Three biologically independent experiments were performed for each condition, and absorbance values were averaged for each experiment. Viability values of neurons seeded with α-Syn aggregates were normalized to those of neurons that received PBS only.

Immunofluorescence

Immunofluorescence stainings on SH-SY5Y cells were performed 24 h after seeding. Cells were fixed for 10 min with 4% paraformaldehyde (PFA) in PBS and subsequently incubated for 5 min in permeabilization solution (0.1% Triton X-100 in PBS) at RT. After blocking with 5% milk in permeabilization solution, primary antibodies were diluted in blocking solution and incubated with the cells overnight at 4 °C. Secondary antibodies were incubated with the cells in blocking solution for 3 h at RT. The coverslips were subsequently incubated with 500 nM DAPI for 10 min and then mounted on glass slides. Images were taken using a CorrSight microscope (Thermo Fisher) in spinning disc mode with a 63× oil immersion objective.

Primary neurons were fixed with 4% PFA in PBS for 20 min; remaining free groups of PFA were blocked with 50 mM ammonium chloride in PBS for 10 min at RT. Cells were rinsed once with PBS and permeabilized with 0.25% Triton X-100 in PBS for 5 min. After washing with PBS, blocking solution consisting of 2% BSA (Roth) and 4% donkey serum (Jackson ImmunoResearch) in PBS was added for 30 min at RT. Coverslips were transferred to a light protected humid chamber and incubated with primary antibodies diluted in blocking solution for 1 h. Cells were washed with PBS and incubated with secondary antibodies diluted 1:250 in blocking solution, with 0.5 μg/ml DAPI added to stain the nuclei. Coverslips were mounted on Menzer glass slides using Prolong Glass fluorescence mounting medium. Confocal images were obtained at a SP8 confocal microscope (Leica) using 40× or 63× oil immersion objectives and Las X 3.5.7.23225 software (Leica). Neurons containing aggregates in the soma were manually quantified using the Cell Counter plugin of ImageJ 2.0.0 (ref. 52; RRID: SCR_003070).

Negative stain EM

For negative stain analysis, continuous carbon Quantifoil grids (Cu 200 mesh, QuantifoilMicro Tools) were glow discharged using a plasma cleaner (PDC-3XG, Harrick) for 30 s. Grids were incubated for 1 min with PFFs, blotted and subsequently washed two times with water for 10 s. The blotted grids were stained with 0.5% uranyl acetate solution, dried, and imaged in a Polara cryo-electron microscope (Thermo Fisher) operated at 300 kV, using a pixel size of 2.35 or 3.44 Å.

Cryo-ET sample preparation

Quantifoil grids (R1/4 or 1.2/20, Au mesh grid with SiO2 film, QuantifoilMicro Tools) were glow discharged using a plasma cleaner (PDC-3XG, Harrick) for 30 s. Cells were plated on the grids as described above. SH-SY5Y cells were seeded with α-Syn aggregates 24 h after plating and plunge frozen after another 24 h. Neurons were transduced on DIV 10, seeded with α-Syn aggregates on DIV 13, and plunge frozen on DIV 20. Plunge freezing was performed on a Vitrobot (Thermo Fisher) with the following settings: temperature, 37 °C; humidity, 80%; blot force, 10; and blot time, 10 s. The grids were blotted from the back and the front using Whatman filter paper and plunged into a liquid ethane/propane mixture. Subsequently the vitrified samples were transferred into cryo-EM boxes and stored in liquid nitrogen.

Correlative cryo-light microscopy and cryo-FIB milling

Grids were mounted onto autogrid sample carriers (Thermo Fisher) that contain cutout regions to facilitate shallow-angle FIB milling. Subsequently, grids were transferred into the stage of a CorrSight cryo-light microscope (Thermo Fisher) cooled at liquid nitrogen temperature. Overview images of the grids were acquired using a 20× lens (air, N.A., 0.8). Cells containing fluorescence signal of interest (GFP-α-Syn or p62-RFP) were mapped using MAPS 2.1 software (Thermo Fisher; RRID: SCR_018738).

The samples were transferred into a Scios or Quanta dual beam cryo-FIB/scanning electron microscopes (SEM; Thermo Fisher). To avoid charging of the samples, a layer of inorganic platinum was deposited on the grids. That was followed by the deposition of organometallic platinum using an in situ gas injection system (working distance—10 mm, heating—27 °C, time—8 s) to avoid damaging the cells by out-of-focus gallium ions. Subsequently, 2D correlation was performed using MAPS and the three-point alignment method between the fluorescence and the SEM image, as described23.

For FIB milling, the grid was tilted to 18° and gallium ions at 30 kV were used to remove excess material from above and below the region of interest. Rough milling was conducted at a current of 0.5 nA and fine milling at a current of 50 pA, resulting in 100–200 nm thick lamellas (see https://edmond.mpdl.mpg.de/imeji/collection/dBIbxxKvWaYMpyhI for a detailed protocol of these procedures).

Cryo-ET data collection and reconstruction

The lamellas were transferred into a Titan Krios cryo-electron microscope (Thermo Fisher) operated at 300 kV, and subsequently loaded onto a compustage cooled to liquid nitrogen temperatures. Lamellas were oriented perpendicular to the tilt axis. Images were collected using a 4 k × 4 k K2 Summit or K3 (Gatan) direct detector cameras operated in dose fractionation mode (0.2 s, 0.15 e2). A BioQuantum (Gatan) post column energy filter was used with a slit width of 20 eV. Tilt series were recorded using SerialEM 3.7.0 (ref. 53; RRID: SCR_017293) at pixel size of 3.38, 3.52, or 4.39 Å. Tilt series were recorded dose symmetrically54 from −50° to +60° with an angular increment of 2°, resulting in a total dose of 100–130 e2 per tilt series. Frames were aligned using Motioncor2 1.2.1 (ref. 55). Final tilt series were aligned using fiducial-less patch tracking, and tomograms were reconstructed by using back projection in IMOD 4.9.0 (ref. 56; RRID: SCR_003297). Contrast was enhanced by filtering the tomograms using tom_deconv (https://github.com/dtegunov/tom_deconv) within MATLAB 2017a (MathWorks).

Tomogram segmentation

The membranes of the tomograms were segmented using the automatic membrane tracing package TomoSegMemTV57. The results were refined manually in Amira 6.2 (FEI Visualization Science Group; RRID: SCR_014305). The lumen of organelles was filled manually based on the membrane segmentations. For tracing of α-Syn fibrils, the XTracing module58 of Amira was used. For that the tomograms were first denoised with a nonlocal means filter, and subsequently searched with a cylindrical template of 10 nm diameter and 80 nm length. Based on the cross-correlation fields, thresholds producing an optimal balance of true positives and negatives were applied. Filaments were subsequently traced with a search cone of 50 nm length and an angle of 37°. The direction coefficient was 0.3 and the minimum filament length was set to 100 nm. Selected filaments were inspected visually. Supplementary Movie 1 was created using Amira.

Fibril diameter and density of gold labeling

The diameter of endogenous α-Syn fibrils was measured using IMOD. 40 different positions were measured along different fibrils in three tomograms. For gold-labeled PFFs, the distance between the centers of gold particles was also measured with IMOD at 20 different positions. To estimate the labeling density, the average distance between gold particles was divided by 4.8 Å, approximately corresponding to the spacing between β-strands measured in α-Syn fibrils33,34.

Cytosolic fibril density

The density of fibrils within the inclusion was calculated as the fraction of cytosolic volume occupied by fibrils. Cellular volume was calculated multiplying the X and Y dimensions of the tomogram by the thickness of the lamella along the Z direction. To calculate cytoplasmic volume, the lumina of organelles were subtracted from the tomogram volume. Fibril volume was calculated approximating fibrils by cylinders with radius of 5 nm and the length calculated by filament tracing. Calculations were performed in Origin 2019b (RRID:SCR_014212).

Fibril persistence length

The persistence length (Lp) measures the stiffness of polymers as the average distance for which a fibril is not bent. It was calculated using an in-house script, as previously described22 executed in MATLAB. Briefly, Lp is calculated as the expectation value of cos θ, where θ is defined as the angle between two tangents to the fibril at positions 0 and l (ref. 59):

$$\left\langle {\cos \left( {\theta _0 - \theta _l} \right)} \right\rangle = e^{ - \left( {l/L_{\mathrm{p}}} \right)}$$
(1)

The Young’s modulus (E) can be calculated from Lp as:

$$E = \frac{{L_{\mathrm{p}}k_{\mathrm{B}}T}}{I}$$
(2)

where kB is the Boltzmann constant (1.38 × 10−23 m2 kg s−2 K−1), T is the absolute temperature (here 295 K), and I is the momentum of inertia. Approximating the fibril by a solid rod, I can be calculated from its radius r as:

$$I = \frac{{\pi r^4}}{4}$$
(3)

Here, we used r = 5 nm.

Confidence intervals were calculated by fitting the data points to a linear polynomial using linear least squares in the MATLAB function “fit”.

Fibril-membrane distance

Fibril-membrane nearest distance was defined for each point on the fibril as the minimum Euclidean distance to another point on a membrane. The algorithm computing fibril-membrane nearest distances is described in the Supplementary Methods.

Inter-membrane distance

Each segmented lumen was labeled differently to identify different organelles. The inter-membrane nearest distance for a point on a membrane was defined as the minimum Euclidean distance to another point on a membrane associated to a different lumen. The algorithm for computing inter-membrane nearest distances is described in the Supplementary Methods.

Statistical analysis

For the quantification of the percentage of neurons with aggregates using light microscopy (Supplementary Fig. 1f), n = 4 (GFP-α-Syn + PFFs) and 3 (endogenous α-Syn + PFFs) biologically independent experiments were performed, and a total of 100–500 neurons per condition and per experiment were counted. Statistical analysis was carried out by two-tailed unpaired t test with Welch’s correction in Prism 6 (GraphPad; RRID: SCR_002798).

For the quantification of neuronal viability using the MTT assay (Supplementary Fig. 1g), n = 3 biologically independent experiments were performed for all conditions. Untransduced and unseeded control cells were used as reference. Statistical analysis was carried out by two-way ANOVA and Dunnett’s multiple comparison test in Prism 6.

The number of tomograms and fibrils, as well as the total membrane area analyzed for each condition are shown in Supplementary Table 1.

Statistical analysis of cytosolic fibril density (Fig. 2e) was carried out by one-way ANOVA in Origin (RRID:SCR_014212). Confidence intervals for fibril-membrane (Fig. 4b) and inter-membrane (Fig. 4c) distances were calculated as the 5–95 percentiles from the curves of each individual tomogram. The differences between the curves within 20 nm were statistically analyzed by Kolmogorov–Smirnov test.

Additional information on statistical analyses can be found in the Source data file.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The data supporting the findings of this manuscript are available from the corresponding authors upon reasonable request. A reporting summary for this Article is available as a Supplementary Information file. The individual values for the average graphs shown in Figs. 2d and 4b, c, and Supplementary Fig. 4 are available at the Edmond repository: https://edmond.mpdl.mpg.de/imeji/collection/rnVkI2lwG8loNXOi. The tomograms shown in Figs. 1 and  2 are available in EMPIAR through accession codes EMD-11401 (Fig. 1a), EMD-11417 (Fig. 1e), and EMD-11416 (Fig. 2a). Source data are provided with this paper. Protocols for recombinant α-Syn purification and cryo-correlative microscopy are available at the Edmond repository: https://edmond.mpdl.mpg.de/imeji/collection/dBIbxxKvWaYMpyhI. All other data are available from the corresponding authors upon reasonable request.

Code availability

The tomogram deconvolution filter is available at: https://github.com/dtegunov/tom_deconv. The script60 for the calculation of Lp is available at: https://github.com/FJBauerlein/Huntington. The scripts61 for fibril-membrane and inter-membrane distance calculations were performed within the PySeg software62 and are available at: https://github.com/anmartinezs/pyseg_system/tree/master/code/pyorg/scripts/filaments.

References

  1. 1.

    Henderson, M. X., Trojanowski, J. Q. & Lee, V. M. alpha-Synuclein pathology in Parkinson’s disease and related alpha-synucleinopathies. Neurosci. Lett. 709, 134316 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Goedert, M., Spillantini, M. G., Del Tredici, K. & Braak, H. 100 years of Lewy pathology. Nat. Rev. Neurol. 9, 13–24 (2013).

    CAS  PubMed  Google Scholar 

  3. 3.

    Peelaerts, W., Bousset, L., Baekelandt, V. & Melki, R. a-Synuclein strains and seeding in Parkinson’s disease, incidental Lewy body disease, dementia with Lewy bodies and multiple system atrophy: similarities and differences. Cell Tissue Res. 373, 195–212 (2018).

    CAS  PubMed  Google Scholar 

  4. 4.

    Ke, P. C. et al. Half a century of amyloids: past, present and future. Chem. Soc. Rev. 49, 5473–5509 (2020).

    CAS  PubMed  Google Scholar 

  5. 5.

    Conway, K. A., Harper, J. D. & Lansbury, P. T. Accelerated in vitro fibril formation by a mutant alpha-synuclein linked to early-onset Parkinson disease. Nat. Med. 4, 1318–1320 (1998).

    CAS  PubMed  Google Scholar 

  6. 6.

    Giasson, B. I., Uryu, K., Trojanowski, J. Q. & Lee, V. M. Mutant and wild type human alpha-synucleins assemble into elongated filaments with distinct morphologies in vitro. J. Biol. Chem. 274, 7619–7622 (1999).

    CAS  PubMed  Google Scholar 

  7. 7.

    Spillantini, M. G. et al. Filamentous alpha-synuclein inclusions link multiple system atrophy with Parkinson’s disease and dementia with Lewy bodies. Neurosci. Lett. 251, 205–208 (1998).

    CAS  PubMed  Google Scholar 

  8. 8.

    Spillantini, M. G., Crowther, R. A., Jakes, R., Hasegawa, M. & Goedert, M. alpha-Synuclein in filamentous inclusions of Lewy bodies from Parkinson’s disease and dementia with lewy bodies. Proc. Natl Acad. Sci. USA 95, 6469–6473 (1998).

    ADS  CAS  PubMed  Google Scholar 

  9. 9.

    Forno, L. S. Neuropathology of Parkinson’s disease. J. Neuropathol. Exp. Neurol. 55, 259–272 (1996).

    CAS  PubMed  Google Scholar 

  10. 10.

    Roy, S. & Wolman, L. Ultrastructural observations in Parkinsonism. J. Pathol. 99, 39–44 (1969).

    CAS  PubMed  Google Scholar 

  11. 11.

    Duffy, P. E. & Tennyson, V. M. Phase and electron microscopic observations of lewy bodies and melanin granules in the substantia nigra and locus caeruleus in Parkinson’s disease. J. Neuropathol. Exp. Neurol. 24, 398–414 (1965).

    Google Scholar 

  12. 12.

    Lashuel, H. A. Do Lewy bodies contain alpha-synuclein fibrils? and Does it matter? A brief history and critical analysis of recent reports. Neurobiol. Dis. 141, 104876 (2020).

    CAS  PubMed  Google Scholar 

  13. 13.

    Gai, W. P. et al. alpha-Synuclein fibrils constitute the central core of oligodendroglial inclusion filaments in multiple system atrophy. Exp. Neurol. 181, 68–78 (2003).

    CAS  PubMed  Google Scholar 

  14. 14.

    Tu, P. H. et al. Glial cytoplasmic inclusions in white matter oligodendrocytes of multiple system atrophy brains contain insoluble alpha-synuclein. Ann. Neurol. 44, 415–422 (1998).

    CAS  PubMed  Google Scholar 

  15. 15.

    Araki, K. et al. Parkinson’s disease is a type of amyloidosis featuring accumulation of amyloid fibrils of alpha-synuclein. Proc. Natl Acad. Sci. USA 116, 17963–17969 (2019).

    CAS  PubMed  Google Scholar 

  16. 16.

    Shahmoradian, S. H. et al. Lewy pathology in Parkinson’s disease consists of crowded organelles and lipid membranes. Nat. Neurosci. 22, 1099–1109 (2019).

    CAS  PubMed  Google Scholar 

  17. 17.

    Galvagnion, C. The role of lipids interacting with alpha-synuclein in the pathogenesis of Parkinson’s disease. J. Parkinsons Dis. 7, 433–450 (2017).

    CAS  PubMed  Google Scholar 

  18. 18.

    Fusco, G., Sanz-Hernandez, M. & De Simone, A. Order and disorder in the physiological membrane binding of alpha-synuclein. Curr. Opin. Struct. Biol. 48, 49–57 (2018).

    CAS  PubMed  Google Scholar 

  19. 19.

    Galvagnion, C. et al. Chemical properties of lipids strongly affect the kinetics of the membrane-induced aggregation of alpha-synuclein. Proc. Natl Acad. Sci. USA 113, 7065–7070 (2016).

    CAS  PubMed  Google Scholar 

  20. 20.

    Fanning, S., Selkoe, D. & Dettmer, U. Parkinson’s disease: proteinopathy or lipidopathy? NPJ Parkinsons Dis. 6, 3 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Bartels, T. A traffic jam leads to Lewy bodies. Nat. Neurosci. 22, 1043–1045 (2019).

    CAS  PubMed  Google Scholar 

  22. 22.

    Bauerlein, F. J. B. et al. In situ architecture and cellular interactions of PolyQ inclusions. Cell 171, 179–187 e110 (2017).

    PubMed  Google Scholar 

  23. 23.

    Guo, Q. et al. In situ structure of neuronal C9orf72 poly-GA aggregates reveals proteasome recruitment. Cell 172, 696–705 e612 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Schaefer, T. et al. Amyloid-like aggregates cause lysosomal defects in neurons via gain-of-function toxicity. Preprint at bioRxiv https://doi.org/10.1101/2019.12.16.877431 (2019).

  25. 25.

    Volpicelli-Daley, L. A., Luk, K. C. & Lee, V. M. Addition of exogenous alpha-synuclein preformed fibrils to primary neuronal cultures to seed recruitment of endogenous alpha-synuclein to Lewy body and Lewy neurite-like aggregates. Nat. Protoc. 9, 2135–2146 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Luk, K. C. et al. Exogenous alpha-synuclein fibrils seed the formation of Lewy body-like intracellular inclusions in cultured cells. Proc. Natl Acad. Sci. USA 106, 20051–20056 (2009).

    ADS  CAS  PubMed  Google Scholar 

  27. 27.

    Volpicelli-Daley, L. A. et al. Exogenous alpha-synuclein fibrils induce Lewy body pathology leading to synaptic dysfunction and neuron death. Neuron 72, 57–71 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Luk, K. C. et al. Molecular and biological compatibility with host alpha-synuclein influences fibril pathogenicity. Cell Rep. 16, 3373–3387 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Rigort, A. et al. Focused ion beam micromachining of eukaryotic cells for cryoelectron tomography. Proc. Natl Acad. Sci. USA 109, 4449–4454 (2012).

    ADS  CAS  PubMed  Google Scholar 

  30. 30.

    Marko, M., Hsieh, C., Schalek, R., Frank, J. & Mannella, C. Focused-ion-beam thinning of frozen-hydrated biological specimens for cryo-electron microscopy. Nat. Methods 4, 215–217 (2007).

    CAS  PubMed  Google Scholar 

  31. 31.

    Mahul-Mellier, A. L. et al. The process of Lewy body formation, rather than simply alpha-synuclein fibrillization, is one of the major drivers of neurodegeneration. Proc. Natl Acad. Sci. USA 117, 4971–4982 (2020).

    CAS  PubMed  Google Scholar 

  32. 32.

    Kuusisto, E., Salminen, A. & Alafuzoff, I. Ubiquitin-binding protein p62 is present in neuronal and glial inclusions in human tauopathies and synucleinopathies. Neuroreport 12, 2085–2090 (2001).

    CAS  PubMed  Google Scholar 

  33. 33.

    Schweighauser, M. et al. Structures of alpha-synuclein filaments from multiple system atrophy. Nature 585, 464–469 (2020).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Guerrero-Ferreira, R., Kovacik, L., Ni, D. & Stahlberg, H. New insights on the structure of alpha-synuclein fibrils using cryo-electron microscopy. Curr. Opin. Neurobiol. 61, 89–95 (2020).

    CAS  PubMed  Google Scholar 

  35. 35.

    Zhang, W. et al. Heparin-induced tau filaments are polymorphic and differ from those in Alzheimer’s and Pick’s diseases. Elife 8, e43584 (2019).

    PubMed  PubMed Central  Google Scholar 

  36. 36.

    Makky, A., Bousset, L., Polesel-Maris, J. & Melki, R. Nanomechanical properties of distinct fibrillar polymorphs of the protein alpha-synuclein. Sci. Rep. 6, 37970 (2016).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Wegmann, S. et al. Human Tau isoforms assemble into ribbon-like fibrils that display polymorphic structure and stability. J. Biol. Chem. 285, 27302–27313 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Lu, L., Deng, Y., Li, X., Li, H. & Karniadakis, G. E. Understanding the twisted structure of amyloid fibrils via molecular simulations. J. Phys. Chem. B 122, 11302–11310 (2018).

    CAS  PubMed  Google Scholar 

  39. 39.

    Jucker, M. & Walker, L. C. Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature 501, 45–51 (2013).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Crowther, R. A., Daniel, S. E. & Goedert, M. Characterisation of isolated alpha-synuclein filaments from substantia nigra of Parkinson’s disease brain. Neurosci. Lett. 292, 128–130 (2000).

    CAS  PubMed  Google Scholar 

  41. 41.

    Pieri, L., Madiona, K. & Melki, R. Structural and functional properties of prefibrillar alpha-synuclein oligomers. Sci. Rep. 6, 24526 (2016).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Peng, C. et al. Cellular milieu imparts distinct pathological alpha-synuclein strains in alpha-synucleinopathies. Nature 557, 558–563 (2018).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Karpowicz, R. J. Jr. et al. Selective imaging of internalized proteopathic alpha-synuclein seeds in primary neurons reveals mechanistic insight into transmission of synucleinopathies. J. Biol. Chem. 292, 13482–13497 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  44. 44.

    Fusco, G. et al. Structural basis of synaptic vesicle assembly promoted by alpha-synuclein. Nat. Commun. 7, 12563 (2016).

    ADS  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Milanesi, L. et al. Direct three-dimensional visualization of membrane disruption by amyloid fibrils. Proc. Natl Acad. Sci. USA 109, 20455–20460 (2012).

    ADS  CAS  PubMed  Google Scholar 

  46. 46.

    Arotcarena, M. L., Teil, M. & Dehay, B. Autophagy in synucleinopathy: the overwhelmed and defective machinery. Cells 8, 565 (2019).

    CAS  PubMed Central  Google Scholar 

  47. 47.

    Paleologou, K. E. et al. Phosphorylation at Ser-129 but not the phosphomimics S129E/D inhibits the fibrillation of alpha-synuclein. J. Biol. Chem. 283, 16895–16905 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Rospigliosi, C. C. et al. E46K Parkinson’s-linked mutation enhances C-terminal-to-N-terminal contacts in alpha-synuclein. J. Mol. Biol. 388, 1022–1032 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Furlong, R. A., Narain, Y., Rankin, J., Wyttenbach, A. & Rubinsztein, D. C. Alpha-synuclein overexpression promotes aggregation of mutant huntingtin. Biochem. J. 346, 577–581 (2000).

    CAS  PubMed  PubMed Central  Google Scholar 

  50. 50.

    May, S. et al. C9orf72 FTLD/ALS-associated Gly-Ala dipeptide repeat proteins cause neuronal toxicity and Unc119 sequestration. Acta Neuropathol. 128, 485–503 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Kuhn, P. H. et al. ADAM10 is the physiologically relevant, constitutive alpha-secretase of the amyloid precursor protein in primary neurons. EMBO J. 29, 3020–3032 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  53. 53.

    Mastronarde, D. N. Automated electron microscope tomography using robust prediction of specimen movements. J. Struct. Biol. 152, 36–51 (2005).

    PubMed  Google Scholar 

  54. 54.

    Hagen, W. J. H., Wan, W. & Briggs, J. A. G. Implementation of a cryo-electron tomography tilt-scheme optimized for high resolution subtomogram averaging. J. Struct. Biol. 197, 191–198 (2017).

    PubMed  PubMed Central  Google Scholar 

  55. 55.

    Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  56. 56.

    Kremer, J. R., Mastronarde, D. N. & McIntosh, J. R. Computer visualization of three-dimensional image data using IMOD. J. Struct. Biol. 116, 71–76 (1996).

    CAS  PubMed  Google Scholar 

  57. 57.

    Martinez-Sanchez, A., Garcia, I., Asano, S., Lucic, V. & Fernandez, J. J. Robust membrane detection based on tensor voting for electron tomography. J. Struct. Biol. 186, 49–61 (2014).

    PubMed  Google Scholar 

  58. 58.

    Rigort, A. et al. Automated segmentation of electron tomograms for a quantitative description of actin filament networks. J. Struct. Biol. 177, 135–144 (2012).

    CAS  PubMed  Google Scholar 

  59. 59.

    Nagashima, H. & Asakura, S. Dark-field light microscopic study of the flexibility of F-actin complexes. J. Mol. Biol. 136, 169–182 (1980).

    CAS  PubMed  Google Scholar 

  60. 60.

    Bäuerlein, F. J. B. FJBauerlein/Huntington: v1.0 (Version v1.0). Zenodo https://doi.org/10.5281/zenodo.4428865 (2017).

  61. 61.

    Martinez-Sanchez, A. Anmartinezs/pyseg-filaments: first release (Version v1.0.0). Zenodo https://doi.org/10.5281/zenodo.4429140 (2020).

  62. 62.

    Martinez-Sanchez, A. et al. Template-free detection and classification of membrane-bound complexes in cryo-electron tomograms. Nat. Methods 17, 209–216 (2020).

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Philipp Erdmann, Günter Pfeifer, Jürgen Plitzko, and Miroslava Schaffer for electron microscopy support, and Ana Jungclaus and Nadine Wischnewski for wet lab support. We thank Dieter Edbauer, Hilal Lashuel, David Rubinsztein, and Didier Trono for sharing plasmids. We thank Konstanze Winklhofer and Joerg Tazelt for sharing the SH-SY5Y cell line and helpful discussions. We are also grateful to Sophie Keeling for help in plasmid cloning, Javier Collado for help with sample preparation, Jonathan Schneider and William Wan for help with image processing, Patrick Auer for help in aggregate quantification, as well as Itika Saha, Eri Sakata, and Patricia Yuste-Checa for helpful discussions. Finally, we thank the anonymous MSA patient and his family for the donation of brain tissue to the Neurobiobank Munich. Fluorescence-activated cell sorting was carried out at the Imaging Facility of the Max Planck Institute of Biochemistry. V.A.T. was supported by the Graduate School of Quantitative Biosciences Munich. V.A.T., I.R.-T., A.M.-S., F.J.B., Q.G., W.B., I.D., M.S.H., F.U.H., and R.F.-B. have received funding from the European Commission (FP7 GA ERC-2012-SyG_318987-ToPAG). I.D. acknowledges financial support from the Horst Kübler-Stiftung. V.A.T., T.A., M.S.H., F.U.H., and R.F.-B. acknowledge funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Germany’s Excellence Strategy—EXC 2067/1—390729940 (R.F.-B.) and EXC 2145 – 390857198 (V.A.T., T.A., M.S.H. and F.U.H). F.U.H. and R.F.-B. were funded by the joint efforts of The Michael J. Fox Foundation for Parkinson’s Research (MJFF) and the Aligning Science Across Parkinson’s (ASAP) initiative. MJFF administers the grant ASAP-000282 on behalf of ASAP and itself. For the purpose of open access, the authors have applied a CC-BY public copyright license to the Author Accepted Manuscript version arising from this submission.

Funding

Open Access funding enabled and organized by Projekt DEAL.

Author information

Affiliations

Authors

Contributions

V.A.T. performed biochemical and electron microscopy experiments, immunofluorescence imaging of SH-SY5Y cells, and contributed to computational data analysis. I.R.-T. produced lentivirus and neuronal cultures, and performed viability assays and immunofluorescence imaging of neurons. A.M.S. developed software procedures for data analysis. F.B. and Q.G. contributed to data analysis. T.A. collected the autopsy case, characterized it neuropathologically, and performed immunohistochemistry. V.A.T., I.R.-T., W.B., I.D., M.S.H., F.U.H., and R.F.-B. planned research. I.D. supervised neuronal culture experiments. M.S.H. and F.U.H. supervised biochemical experiments. R.F.-B. supervised electron microscopy experiments and data analysis. R.F.-B. wrote the manuscript with contributions from all authors.

Corresponding authors

Correspondence to F. Ulrich Hartl or Rubén Fernández-Busnadiego.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks Tanmay Bharat, Michel Goedert and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Source data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Trinkaus, V.A., Riera-Tur, I., Martínez-Sánchez, A. et al. In situ architecture of neuronal α-Synuclein inclusions. Nat Commun 12, 2110 (2021). https://doi.org/10.1038/s41467-021-22108-0

Download citation

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing