Abstract
Amyotrophic lateral sclerosis and several other neurodegenerative diseases are associated with brain deposits of amyloid-like aggregates formed by the C-terminal fragments of TDP-43 that contain the low complexity domain of the protein. Here, we report the cryo-EM structure of amyloid formed from the entire TDP-43 low complexity domain in vitro at pH 4. This structure reveals single protofilament fibrils containing a large (139-residue), tightly packed core. While the C-terminal part of this core region is largely planar and characterized by a small proportion of hydrophobic amino acids, the N-terminal region contains numerous hydrophobic residues and has a non-planar backbone conformation, resulting in rugged surfaces of fibril ends. The structural features found in these fibrils differ from those previously found for fibrils generated from short protein fragments. The present atomic model for TDP-43 LCD fibrils provides insight into potential structural perturbations caused by phosphorylation and disease-related mutations.
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Introduction
Proteinaceous brain inclusions containing the transactive response DNA-binding protein of 43 kDa (TDP-43) are a pathological hallmark of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD)1,2,3. Similar inclusions have also been found in several other neurodegenerative disorders, including Alzheimer’s disease, cerebral age-related TDP-43 with sclerosis, dementia with Lewy bodies, hippocampal sclerosis, Huntington’s disease, and chronic traumatic encephalopathy, among others2,3.
TDP-43 consists of an N-terminal domain, two RNA recognition motifs, and a C-terminal low-complexity domain (LCD) that maps to residues ~267–414 and is rich in Gln/Asn and Gly residues3. Pathological inclusions in TDP-43 proteinopathies typically consist of C-terminal fragments of different sizes, the main component of which is the LCD4,5,6. The latter domain, which contains most disease-associated mutation sites2,3, is believed to drive the aggregation process7,8. Even though morphologically distinct TDP-43 aggregates have been observed in patient-derived histopathological samples1,9, many of them appear to have fibrillar structure and stain with amyloid-specific dyes10,11,12. Furthermore, recent reports indicate that these aggregates can self-propagate by the prion-like mechanism13,14,15,16. Consistent with these findings, polypeptides corresponding to TDP-43 LCD or its fragments have been shown to form amyloid fibrils in vitro3,8,17,18,19.
In contrast to recent progress in high-resolution structural studies of other amyloids19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36, however, similar studies with TDP-43 are limited to fibrils formed by relatively short fragments of the protein19. To bridge this critical gap, here we report a near-atomic-resolution cryo-electron microscopic (cryo-EM) structure of fibrils formed in vitro by the entire LCD domain of TDP-43. Using our structural model for wild-type protein, we also assess the potential impact of disease-associated mutations and phosphorylation of individual Ser residues.
Results
Fibril morphology as assessed by atomic force microscopy (AFM)
To optimize sample preparation for cryo-EM studies, TDP-43 LCD fibrils were first analyzed by AFM. Consistent with the previous report19, fibrils formed at pH 7 were found to clump together, precluding detailed morphological analysis. This clumping tendency was reduced for fibrils prepared at pH 6, even though they were still not sufficiently dispersed to allow high-resolution cryo-EM studies. When analyzed by AFM, the later fibrils displayed two different morphologies, one twisted and one without a twist (Supplementary Fig. 1a). The twisted fibrils were left-handed, showing in AFM images a maximum height of 7.2 ± 0.3 nm and periodicity of 49.0 ± 6.0 nm.
Fibrils formed under mildly acidic conditions (pH 4) were much better dispersed and more suitable for cryo-EM studies. Akin to pH 6 fibrils, these fibrils displayed two different morphologies, one twisted and one lacking such a twist (Supplementary Fig. 1b). In an attempt to select one preferential morphology, four rounds of sequential seeding reactions were performed by adding preformed, sonicated fibrils (10% w/w) to freshly prepared, non-aggregated protein under the same buffer conditions. Despite these efforts, akin to the first-round fibrils, the final sample used for cryo-EM studies also contained two distinct fibril morphologies (Supplementary Fig. 1c). The relative populations of the two fibril types did not change significantly during sequential seeding reactions, with the twisted species in the non-seeded reaction and last-round seeded reaction accounting for 51 ± 16 and 45 ± 10% of the entire fibril population, respectively. The morphology of pH 4 twisted fibrils was very similar to that of pH 6 counterparts: they were left-handed and characterized by the height maximum of 7.8 ± 0.9 nm and periodicity of 46.3 ± 2.8 nm.
Cryo-EM structure of TDP-43 LCD fibrils
Consistent with AFM data, cryo-EM images of fibrils formed at pH 4 revealed two types of morphologies, one of them showing a helical twist and the second one lacking such a twist (Supplementary Fig. 2a, b). Helical reconstruction of twisted fibrils (all of which share the same fold) allowed us to determine a density map with a nominal resolution of 3.2 Å (Supplementary Table 1 and Supplementary Fig. 2c). Each twisted fibril consists of a single left-handed protofilament in which subunits stack along the fibril axis with a helical rise of 4.73 Å and a helical twist of −1.66° (Fig. 1a). A near-atomic-resolution structural model could be unambiguously built for the fibril core, which maps to residues 276–414 of TDP-43 (Fig. 1b and Supplementary Table 1).
This core consists of 14 β-strands linked by relatively rigid turns and loops (Fig. 1c, d). Each protein subunit can be divided into two regions that differ with regard to an overall amino acid composition as well as the backbone geometry (Figs. 1d and 2a, b). The C-terminal region (residues 344–414, strands β9–β14) is characterized by a small proportion of hydrophobic amino acids. Relatively long β-strands pack mostly via polar interfaces and many residues within strands β9, β10, β11, and β13 are engaged in steric–zipper interactions (Figs. 1d and 2a). The stacking of subunits within this region is largely maintained by a network of intermolecular backbone H-bonds between β-strands, with additional stabilization through H-bonds between numerous stacked Gln and Asn side chains (Supplementary Fig. 3). This C-terminal region is largely planar, with most β-strands packed through interactions within the same subunit (Fig. 2b).
By contrast, the N-terminal region of LCD (residues 276–343, strands β1–β8) is rich in hydrophobic amino acids and contains mostly short β-strands that are not involved in steric–zipper interactions. Instead, strands and turns pack against each other in all directions, allowing non-polar side chains to be tightly packed and buried, with a hydrophobic interface between the 311–318 and 336–341 segments (Fig. 1d, e). Side chains on the opposite side of the 336–341 segment form another hydrophobic interface with residues 381–383 within the LCD C-terminal region. Altogether, these three segments make up a large hydrophobic core. A second, smaller hydrophobic core involves residues within the Ala- and Met-rich 321–330 segment that pack against Phe283, Phe289, and Trp334 (Figs. 1e and 2a). To facilitate such a tight packing of hydrophobic residues, the backbone in this region of each subunit makes numerous turns within the x–y plane while also extending along the z-axis over a distance of ~22.4 Å (Fig. 2b). As a result, each subunit (i) not only interacts with the layer directly above (i + 1) and below (i − 1) but also with layers up to (i + 3) and (i − 3), as illustrated in Fig. 2c for the 311–327 segment. Furthermore, some of the interactions are between stacks of hydrophobic residues, which are arranged in a staggered fashion (Fig. 2d, e). Thus, even though only ~40% of residues are involved in intermolecular H-bonds within the cross-β motif, fibrils are likely further stabilized through the interlayer interactions between side chains.
The non-planar backbone conformation of TDP-43 LCD subunits (which is not unusual among amyloids22,28,35) results in rugged surfaces of fibril ends with well-defined “ridges” and “grooves”. The ridges are composed mostly of water-exposed hydrophobic residues, with one end containing 15 such residues from the top three subunits [M311 (m, m − 1, m − 2), F313 (m, m − 1, m − 2), F316 (m, m − 1), I318 (m, m − 1), M322 (m), A324 (m), M337 (m), M339 (m), and M405 (m)], and the other end containing nine hydrophobic residues from the bottom three subunits [A341 (n, n + 1, n + 2), L340 (n, n + 1), M336 (n), A381 (n), I383 (n), and A388 (n)] (Fig. 3).
Discussion
Rapidly accumulating cryo-EM data for different types of amyloid fibrils point to a large structural polymorphism of fibrils formed even by the same protein. In the present study, we determined a near-atomic-resolution structure of one polymorphic form of fibrils formed by the entire LCD of TDP-43, a protein associated with many neurodegenerative diseases. The second type of fibrils observed in our samples lacks any twist, precluding high-resolution structural characterization by cryo-EM. Even though the present structure has been determined for fibrils formed under mildly acidic conditions (pH 4), similar morphology of fibrils generated at pH 6 suggests that the latter fibrils may be structurally similarity also at the atomic level.
A notable feature of the present structure of TDP-43 LCD fibrils is the size of the amyloid core that is comprised of 139 residues (out of 148 present in the LCD). To the best of our knowledge, the size of this core region is the largest among all amyloid fibrils structurally characterized to date37. Interestingly, in contrast to most other reported fibril structures that contain two or more protofilaments37, TDP-43 LCD fibrils consist of a single protofilament. This is, however, not an unprecedented feature, as single protofilament structures have been reported for fibrils formed by antibody light chains32,33, transthyretin34, FUS LCD20, and some polymorphic forms of tau24,25,26 and α-synuclein29.
Another notable feature of TDP-43 LCD fibrils is a highly non-planar backbone conformation within the N-terminal region of the amyloid core. This results in rugged surfaces of fibril ends with many water-exposed hydrophobic residues. Such highly hydrophobic, rugged surfaces of fibril ends may be especially conducive to the recruitment of TDP-43 monomers and their templated conversion into the amyloid conformation. Distinct surfaces at opposite ends could also result in fibril polarity, with different elongation rates at each end. Furthermore, detailed structural characterization of these surfaces (Fig. 3) may provide a starting point for a rational design of TDP-43 amyloid inhibitors.
A recent study reported cryo-EM structures of fibrils formed by two relatively short fragments of TDP-43 LCD19. The first fragment (residues 311–360) formed polymorphic amyloid structures with a common motif described as a dagger fold, in which residues from Phe313 to Ala341 form tight hydrophobic interaction. A sharp (~160°) kink at Gln327 defines the tip of the dagger (Supplementary Fig. 4a). The fold adopted by this segment in our structure of fibrils formed by the entire LCD is substantially different, with no sharp kink at Gln 327. Instead, there is a ~90° turn at this residue, followed by another ~90° turn at Gln331, such that the overall fold shows little resemblance to the dagger motif (Supplementary Fig. 4b). Fibrils formed by the second fragment (residues 286–331 with A315E mutation) consisted of four protofilaments that each contain another common motif characterized as R-shaped fold (Supplementary Fig. 4c). It was proposed that a similar fold (stabilized by hydrophobic interactions between Ala315, Ala297, and Phe313) would be adopted by this segment without the mutation19. Again, the fold within this region of fibrils formed by the entire LCD is quite different: Ala297, Phe313, and Ala315 are not in close contact, and the local conformation is dictated by interactions with other parts of the molecule (Supplementary Fig. 4d).
Over 30 point mutations within the TDP-43 LCD are associated with ALS and FTLD2,3. The mechanisms by which these mutations facilitate disease are poorly understood. Mapping the pathogenic mutations on the structure of wild-type TDP-43 LCD fibrils revealed that ~50% of them are not compatible with this structure due to severe steric clashes within tightly packed segments of the protein, introduction of charges into the dehydrated fibril interior, or both (Fig. 4a). Thus, these mutations will likely result in substantially different fibril structures, and this may affect the disease phenotype.
One of the features of ALS and FTLD pathology is phosphorylation of Ser residues within the C-terminal part of the TDP-43 LCD, with the consensus pathological phosphorylation sites at Ser403, Ser404, and Ser409/410, and additional disease-specific phosphorylation sites at Ser379 and Ser3693,38. The full phosphorylation landscape and population of molecules phosphorylated at specific sites are, however, unknown. Furthermore, non-phosphorylated protein seems to be also present in pathological inclusions, as indicated by staining with antibodies raised against non-phosphorylated C-terminal epitopes39. Interestingly, while two of the common phosphorylation sites (Ser404 and Ser410) are exposed on the fibril surface, others (Ser403, Ser409, Ser379, and Ser369) are buried in the interior of the fibril structure that we determined for the non-phosphorylated protein (Fig. 4b). Thus, phosphorylation of the latter residues will likely affect the structure of fibrillar aggregates, potentially resulting in a large, phosphorylation site-dependent structural polymorphism. This, in turn, could further influence the disease phenotype. The present structure for non-phosphorylated TDP-43 LCD fibrils provides a necessary foundation for future high-resolution structural studies with fibrils containing protein variants with different phosphorylation patterns.
Methods
Protein expression and purification
The plasmid for bacterial expression of TDP-43 LCD with an N-terminal His-tag was described previously8. The protein was expressed overnight using RosettaTM (DE3) pLysS competent cells (MilliporeSigma) after induction with 1 mM isopropyl β-d-1-thiogalactopyranoside. Cells were collected by centrifugation, lysed by sonication in Buffer A (20 mM Tris-HCl buffer, pH 8, containing 8 M urea, 500 mM NaCl, and 25 mM imidazole), and purified over Ni-charged nitrilotriacetic acid column using 4–5 column volume washes with Buffer A followed by elution with Buffer B (20 mM Tris-HCl buffer, pH 8, containing 8 M urea, 200 mM NaCl, and 250 mM imidazole). Protein was concentrated and purified by high-performance liquid chromatography using a C4 column with acetonitrile gradient in water containing 0.05% trifluoroacetic acid. Protein purity (>95%) was confirmed by gel electrophoresis. Pure protein was flash frozen and lyophilized for later use.
Fibril formation and morphology analysis using AFM
Lyophilized protein was dissolved in Milli-Q purified H2O and passed through an Amicon Ultra centrifugal filter with 100 kDa molecular weight cut-off to remove preformed aggregates8. Fibrils were formed at a protein concentration of 30 μM in 20 mM MES buffer, pH 6.0, or 20 mM sodium acetate buffer, pH 4.0. The samples were placed on rotation (~6–8 rpm) at 37 °C. For AFM imaging, 2 μl of fibril suspension was diluted 10-fold in Milli-Q H2O, deposited on freshly cleaved mica substrate and incubated for 5 min. The surface was then washed four times with Milli-Q H2O and dried under N2. The images were obtained by NanoScope 9.1 using scan assist mode and a silicon probe (spring constant, 40 newtons/m) on a Bruker multimode atomic force microscope equipped with Nanoscope V controller. Image analysis was performed using Nanoscope Analysis 1.5. Fibrils generated from both reactions displayed two different morphologies on AFM images, one twisted and one lacking such a twist. The reported height maxima and periodicity of twisted fibrils are based on measurements using 20 randomly selected fibrils in each group. In an attempt to select one preferential morphology in pH 4 fibrils, 4 rounds of sequential seeding reactions were then performed by adding preformed, sonicated pH 4 fibrils (10% w/w) to freshly prepared, non-aggregated protein under the same buffer conditions. Despite these efforts, akin to the first-round fibrils, the final sample used for cryo-EM studies also contained two types of fibril morphologies (Supplementary Fig. 1). To assess the percentage of twisted fibrils, the total length of twisted and non-twisted fibrils in three randomly selected 2 μm × 2 μm AFM images was measured.
Cryo-electron microscopy
Two hundred mesh lacey carbon grids (Ted Pella) were first coated with 0.1 mg/ml graphene oxide and then with 0.1% poly-lysine as described previously40,41. Three microliters of TDP-43 LCD fibril suspension (30 μM) was applied to the coated grid, blotted for 6 s, and plunge-frozen in liquid ethane using a Vitrobot Mark IV (ThermoFisher Scientific). Movies were collected on a Titan Krios G3i microscope (ThermoFisher Scientific) equipped with a BioQuantum K3 camera (Gatan, Inc.), with 0.414 Å/pixel at super resolution mode, 42 e−/Å2 total dose, and 60 total frames. A total of 6589 micrographs were automatically collected using SerialEM42 with 6 shots per position. Beam image shift was applied, and defocus range was between −0.8 and −1.5 μm.
Data processing
Movies were corrected for drifting and binned by a factor of 2 using MotionCor243. Contrast Transfer Functions (CTF) were estimated by Gctf44. All further processing was carried out using RELION 3.145,46,47. Fibrils with apparent helical twists were manually picked and a total of 294,168 segments were extracted using an overlap of 97% between neighboring segments and a box size of 512 pixels. Segments were first subjected to several rounds of reference-free two-dimensional (2D) classification using T = 8 and K = 100 to remove poorly defined classes, resulting in 65,075 segments contributing to clear 2D averages. These segments were then used for subsequent three-dimensional (3D) classification employing an initial model of a featureless cylinder generated by relion_helix_toolbox46. The initial helical rise (4.73 Å) was calculated from the 2D class layer line profile, and the initial helical twist (−1.64°) was calculated from the crossover distance. The handedness of the helix was determined by AFM images. The tilt of all segments were kept at 90° throughout the 3D processing. Two rounds of 3D classification were performed using K = 3 and T = 4, resulting in 11,026 segments that contributed to a high-resolution reconstruction. Additional rounds of 3D classification were performed on these segments using a single class and increasing T value (4, 8, 20, 40, and 100) with local optimization of helical twist and rise. In the last round of 3D classification, β-strands were well separated and large side chains could be resolved. The model and data were then used for high-resolution gold-standard 3D refinement. Iterative Bayesian polishing47 and CTF refinement48 were performed to further improve the resolution. The overall resolution was calculated to be 3.2 Å from Fourier shell correlations at 0.143 between two independently refined half-maps. Refined helical symmetry (twist = −1.66°, rise = 4.73 Å) was imposed on the post-processed map for further model building.
Model building
An initial model was built in Coot49 using large side chains of 343QQNQ346 segment as a guide. Five chains were built at the central region of the density map, which covered all types of intermolecular contact within the map. The model was then subjected to iterative real-space refinements in PHENIX50. At later stages, segments favoring β-strand conformation were identified and the direction of backbone oxygen and nitrogen atoms were adjusted manually to facilitate hydrogen bonding in β-sheets. Such restraints were also implemented in the subsequent refinements. After real-space refinement, side-chain orientations were manually adjusted to ensure energy-favored geometry. The final model was validated using the comprehensive validation method in PHENIX50. A map containing five copies of subunits was extracted manually from the reconstructed map using the UCSF Chimera package51 to calculate Fourier shell correlations between the map and the atomic model.
The density of the TDP-43 LCD segment 295–299 was weaker than that of the rest of the molecule, possibly due to the less-ordered structure of this segment. In this region, we displayed the map at a low contour level and built the model manually. After automatic refinement in PHENIX50, this region showed no significant clashes or Ramachandran outliers. It has been reported that such less-defined turns or loops of an amyloid core may adopt more than one conformation30. In our study, due to the relatively low number of particles, we were not able to classify and determine different structures in this less-defined region. Thus, the structure of this segment in our refined model may represent the average of multiple conformations.
When assessing structural compatibility of disease-related mutations and phosphorylation at individual Ser residues with our structural model determined for wild-type, non-phosphorylated protein, the Reduce52 and Probe53 programs were used to test for severe steric clashes (>1 Å overlap) in the absence of the backbone movement.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The cryo-EM map of TDP-43 LCD amyloid fibrils has been deposited to the Electron Microscopy Data Bank (EMDB) under the accession code EMD-23059. The coordinates of the corresponding model have been deposited to the Protein Data Bank (PDB) under accession code 7KWZ. Other data are available from the corresponding author upon reasonable request.
References
Neumann, M. et al. Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 314, 130–133 (2006).
Lee, E. B., Lee, V. M. Y. & Trojanowski, J. Q. Gains or losses: molecular mechanisms of TDP43-mediated neurodegeneration. Nat. Rev. Neurosci. 13, 38–50 (2012).
Prasad, A., Bharathi, V., Sivalingam, V., Girdhar, A. & Patel, B. K. Molecular mechanisms of TDP-43 misfolding and pathology in amyotrophic lateral sclerosis. Front. Mol. Neurosci. 12, 25 (2019).
Igaz, L. M. et al. Enrichment of C-terminal fragments in TAR DNA-binding protein-43 cytoplasmic inclusions in brain but not in spinal cord of frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Am. J. Pathol. 173, 182–194 (2008).
Zhang, Y. J. et al. Aberrant cleavage of TDP-43 enhances aggregation and cellular toxicity. Proc. Natl Acad. Sci. USA 106, 7607–7612 (2009).
Li, Q., Yokoshi, M., Okada, H. & Kawahara, Y. The cleavage pattern of TDP-43 determines its rate of clearance and cytotoxicity. Nat. Commun. 6, 1–12 (2015).
Johnson, B. S. et al. TDP-43 is intrinsically aggregation-prone, and amyotrophic lateral sclerosis-linked mutations accelerate aggregation and increase toxicity. J. Biol. Chem. 284, 20329–20339 (2009).
Babinchak, W. M. et al. The role of liquid-liquid phase separation in aggregation of the TDP-43 low-complexity domain. J. Biol. Chem. 294, 6306–6317 (2019).
Neumann, M., Kwong, L. K., Sampathu, D. M., Trojanowski, J. Q. & Lee, V. M. Y. TDP-43 proteinopathy in frontotemporal lobar degeneration and amyotrophic lateral sclerosis: Protein misfolding diseases without amyloidosis. Arch. Neurol. 64, 1388–1394 (2007).
Lin, W. L. & Dickson, D. W. Ultrastructural localization of TDP-43 in filamentous neuronal inclusions in various neurodegenerative diseases. Acta Neuropathol. 116, 205–213 (2008).
Bigio, E. H. et al. Inclusions in frontotemporal lobar degeneration with TDP-43 proteinopathy (FTLD-TDP) and amyotrophic lateral sclerosis (ALS), but not FTLD with FUS proteinopathy (FTLD-FUS), have properties of amyloid. Acta Neuropathol. 125, 463–465 (2013).
Robinson, J. L. et al. TDP-43 skeins show properties of amyloid in a subset of ALS cases. Acta Neuropathol. 125, 121–131 (2013).
Furukawa, Y., Kaneko, K., Watanabe, S., Yamanaka, K. & Nukina, N. A seeding reaction recapitulates intracellular formation of sarkosyl-insoluble transactivation response element (TAR) DNA-binding protein-43 inclusions. J. Biol. Chem. 286, 18664–18672 (2011).
Nonaka, T. et al. Prion-like properties of pathological TDP-43 aggregates from diseased brains. Cell Rep. 4, 124–134 (2013).
Smethurst, P., Sidle, K. C. L. & Hardy, J. Prion-like mechanisms of transactive response DNA binding protein of 43kDa (TDP-43) in amyotrophic lateral sclerosis (ALS). Neuropathol. Appl. Neurobiol. 41, 578–597 (2015).
Fatima, M., Tan, R., Halliday, G. M. & Kril, J. J. Spread of pathology in amyotrophic lateral sclerosis: assessment of phosphorylated TDP-43 along axonal pathways. Acta Neuropathol. Commun. 3, 47 (2015).
Zhuo, X. F. et al. Solid-state NMR reveals the structural transformation of the TDP-43 amyloidogenic region upon fibrillation. J. Am. Chem. Soc. 142, 3412–3421 (2020).
Shenoy, J. et al. Structural dissection of amyloid aggregates of TDP-43 and its C-terminal fragments TDP-35 and TDP-16. FEBS J. 287, 2449–2467 (2020).
Cao, Q., Boyer, D. R., Sawaya, M. R., Ge, P. & Eisenberg, D. S. Cryo-EM structures of four polymorphic TDP-43 amyloid cores. Nat. Struct. Mol. Biol. 26, 619–627 (2019).
Murray, D. T. et al. Structure of FUS protein fibrils and its relevance to self-assembly and phase separation of low-complexity domains. Cell 171, 615.e16–627.e16 (2017).
Lee, M., Ghosh, U., Thurber, K. R., Kato, M. & Tycko, R. Molecular structure and interactions within amyloid-like fibrils formed by a low-complexity protein sequence from FUS. Nat. Commun. 11, 5735 (2020).
Gremer, L. et al. Fibril structure of amyloid-β(1–42) by cryo-electron microscopy. Science 358, 116–119 (2017).
Kollmer, M. et al. Cryo-EM structure and polymorphism of Aβ amyloid fibrils purified from Alzheimer’s brain tissue. Nat. Commun. 10, 1–8 (2019).
Falcon, B. et al. Structures of filaments from Pick’s disease reveal a novel tau protein fold. Nature 561, 137–140 (2018).
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).
Zhang, W. et al. Novel tau filament fold in corticobasal degeneration. Nature 580, 283–287 (2020).
Guerrero-Ferreira, R. et al. Cryo-EM structure of alpha-synuclein fibrils. Elife 7, e36402 (2018).
Li, B. et al. Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel. Nat. Commun. 9, 3609 (2018).
Boyer, D. R. et al. Structures of fibrils formed by α-synuclein hereditary disease mutant H50Q reveal new polymorphs. Nat. Struct. Mol. Biol. 26, 1044–1052 (2019).
Schweighauser, M. et al. Structures of α-synuclein filaments from multiple system atrophy. Nature 585, 464–469 (2020).
Iadanza, M. G. et al. The structure of a β2-microglobulin fibril suggests a molecular basis for its amyloid polymorphism. Nat. Commun. 9, 4517 (2018).
Radamaker, L. et al. Cryo-EM structure of a light chain-derived amyloid fibril from a patient with systemic AL amyloidosis. Nat. Commun. 10, 1103 (2019).
Swuec, P. et al. Cryo-EM structure of cardiac amyloid fibrils from an immunoglobulin light chain AL amyloidosis patient. Nat. Commun. 10, 1269 (2019).
Schmidt, M. et al. Cryo-EM structure of a transthyretin-derived amyloid fibril from a patient with hereditary ATTR amyloidosis. Nat. Commun. 10, 5008 (2019).
Röder, C. et al. Atomic structure of PI3-kinase SH3 amyloid fibrils by cryo-electron microscopy. Nat. Commun. 10, 3754 (2019).
Wang, L. Q. et al. Cryo-EM structure of an amyloid fibril formed by full-length human prion protein. Nat. Struct. Mol. Biol. 27, 598–602 (2020).
Sawaya, M. R. Amyloid atlas. https://people.mbi.ucla.edu/sawaya/amyloidatlas/ (2020).
Neumann, M. et al. Antibody against TDP-43 phosphorylated at serine 375 suggests conformational differences of TDP-43 aggregates among FTLD–TDP subtypes. Acta Neuropathol. 140, 645–658 (2020).
Tomé, S. O. et al. Distinct molecular patterns of TDP-43 pathology in Alzheimer’s disease: relationship with clinical phenotypes. Acta Neuropathol. Commun. 8, 61 (2020).
Yu, G., Li, K. & Jiang, W. Antibody-based affinity cryo-EM grid. Methods 100, 16–24 (2016).
Bokori-Brown, M. et al. Cryo-EM structure of lysenin pore elucidates membrane insertion by an aerolysin family protein. Nat. Commun. 7, 1–7 (2016).
Mastronarde, D. N. Automated electron microscope tomography using robust prediction of specimen movements. J. Struct. Biol. 152, 36–51 (2005).
Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).
Zhang, K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016).
Scheres, S. H. W. RELION: implementation of a Bayesian approach to cryo-EM structure determination. J. Struct. Biol. 180, 519–530 (2012).
He, S. & Scheres, S. H. W. Helical reconstruction in RELION. J. Struct. Biol. 198, 163–176 (2017).
Zivanov, J., Nakane, T. & Scheres, S. H. W. A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis. IUCrJ 6, 5–17 (2019).
Zivanov, J., Nakane, T. & Scheres, S. H. W. Estimation of high-order aberrations and anisotropic magnification from cryo-EM data sets in RELION-3.1. IUCrJ 7, 253–267 (2020).
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. Sect. D. Biol. Crystallogr. 66, 486–501 (2010).
Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D. Biol. Crystallogr. 66, 213–221 (2010).
Pettersen, E. F. et al. UCSF Chimera - a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).
Word, J. M., Lovell, S. C., Richardson, J. S. & Richardson, D. C. Asparagine and glutamine: Using hydrogen atom contacts in the choice of side-chain amide orientation. J. Mol. Biol. 285, 1735–1747 (1999).
Word, J. M. et al. Visualizing and quantifying molecular goodness-of-fit: small-probe contact dots with explicit hydrogen atoms. J. Mol. Biol. 285, 1711–1733 (1999).
Kyte, J. & Doolittle, R. F. A simple method for displaying the hydropathic character of a protein. J. Mol. Biol. 157, 105–132 (1982).
Acknowledgements
This work was supported by NIH grants RF1 AG061797 and R01 GM094357 and R01 NS103848 and CWRU pilot grant CA-CryoPilot2019-2499971. We thank Kunpeng Li for help with cryo-EM acquisition of cryo-EM data, Gunnar F. Schröder and Xinghong Dai for discussions regarding data processing and model building, respectively, and Sudha Chakrapani for comments on the manuscript. We are grateful to the Cryo-Electron Microscopy Core at the CWRU School of Medicine (especially Dr. Sudha Chakrapani and Dr. Kunpeng Li) for the access to Cryo-EM instrumentation.
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Q.L. and W.K.S. designed the study. Q.L. collected EM data and performed image processing and model building. W.M.B. purified the protein and prepared fibrils. Q.L. and W.K.S. wrote the manuscript.
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Li, Q., Babinchak, W.M. & Surewicz, W.K. Cryo-EM structure of amyloid fibrils formed by the entire low complexity domain of TDP-43. Nat Commun 12, 1620 (2021). https://doi.org/10.1038/s41467-021-21912-y
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DOI: https://doi.org/10.1038/s41467-021-21912-y
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