Abstract
The protein tau associates with microtubules to maintain neuronal health. Posttranslational modifications of tau interfere with this binding, leading to tau aggregation in neurodegenerative disorders. Here, we use solid-state nuclear magnetic resonance (NMR) to investigate the structure of the microtubule-binding domain of tau. Wild-type tau that contains four microtubule-binding repeats and a pseudorepeat R′ is studied. Complexed with taxol-stabilized microtubules, the immobilized residues exhibit well-resolved two-dimensional spectra that can be assigned to the amino-terminal region of R4 and the R′ domain. When tau coassembles with tubulin to form unstable microtubules, the R′ signals remain, whereas the R4 signals disappear, indicating that R′ remains immobilized, whereas R4 becomes more mobile. Therefore, R′ outcompetes the other four repeats to associate with microtubules. These NMR data, together with previous cryo–electron microscopy densities, indicate an extended conformation for microtubule-bound R′. R′ contains the largest number of charged residues among all repeats, suggesting that charge-charge interaction drives tau-microtubule association.
Solid-state NMR data show that full-length tau binds microtubules through a pseudorepeat, whereas a proline-rich domain is mobile.
INTRODUCTION
Microtubules (MTs) constitute part of the cytoskeleton of eukaryotic cells and function in cell division and intracellular trafficking. Assembled from 13 protofilaments of α- and β-tubulin dimers, these hollow cylinders can rapidly grow and shrink in length via a guanosine 5′-triphosphate (GTP)–regulated process (Fig. 1A) (1). In neurons, MTs are mainly stabilized by the intrinsically disordered protein tau (2). In adult human brains, tau mainly distributes into axons, where it stabilizes MTs, promotes their assembly, and regulates their dynamic instability (3). Tau may also regulate axonal transport by interacting with motor proteins. However, hyperphosphorylation and acetylation of tau weaken this interaction (4), causing tau to aggregate into amyloid fibrils. The resulting neurofibrillary tangles are the hallmark of a number of neurodegenerative disorders such as Alzheimer’s disease, chronic traumatic encephalopathy, and progressive supranuclear palsy (3, 5–8). Elucidating the structure and dynamics of the tau domain that binds MTs is therefore important for understanding both the physiological function of tau and the pathogenesis of many neurodegenerative diseases. Tau contains an N-terminal projection domain (residues 1 to 150), a proline (Pro)–rich domain (residues 151 to 243), a MT-interacting region with either three or four 31-residue repeats (residues 244 to 368), a weakly homologous pseudorepeat R′ (residues 369 to 399) (9), and a C-terminal domain (residues 400 to 441) (Fig. 1B). All repeats are thought to bind with MTs, as suggested, for example, by the loss of solution nuclear magnetic resonance (NMR) signals of MT-bound tau (10). Although many biophysical studies have probed the MT interactions of tau (11–13), a near-atomic view of the bound complex was reported only recently using cryo–electron microscopy (cryo-EM) (14). The electron density maps of tubulin coassembled with an excess amount of wild-type tau show a continuous extended ribbon lying on the crest of the tubule protofilaments. However, at a resolution of 4.1 to 6.5 Å, these maps do not resolve the precise domain of tau that contacts the MT surface. Instead, higher-resolution maps of chimeric tau constructs that contain either four copies of the R1 repeat or four copies of the R2 repeat were obtained. These maps were modeled using Rosetta and were found to best match a 12-residue segment in the R1 domain and a 27-residue segment in the R2 domain, respectively. These results were interpreted as either R1 and R2 repeats bind to MTs with the highest affinity or all four repeats of tau bind in tandem to the MT surface. However, these binding models have not been tested in full-length wild-type tau.
RESULTS
To determine the relative affinity of all five repeats in native tau for MTs and to investigate whether the bound segment varies with MT stability, we co-sedimented wild-type recombinant tau with MTs and examined the complex using solid-state NMR spectroscopy (15–17). We prepared three samples in which 10 or 5 μM of tau was mixed with preformed and taxol-stabilized MTs at a concentration of 10 μM tubulin heterodimer. In a fourth sample, tubulin was coassembled with twofold excess tau without stabilizing agents to form dynamically unstable MTs. Among the three taxol-stabilized samples, one contained full-length 0N4R tau, while the other two contained different concentrations of a shorter construct, P2R tau (residues 198 to 399), which includes the P2 domain, R1 to R4 repeats, and the pseudorepeat R′ (Fig. 1B).
We measured dipolar coupling–based magic-angle spinning (MAS) solid-state NMR spectra to detect MT-immobilized tau residues and J coupling–based spectra to detect highly mobile residues. Binding of equimolar amounts of full-length 0N4R or P2R tau to preformed MTs (both at 10 μM) yielded long, straight, and ~38-nm-wide tubules that are stable for ~10 days at 4°C (Fig. 1C and fig. S1A). The two-dimensional (2D) 15N-13Cα (NCα) correlation spectrum of P2R tau (1:1 tubulin dimer:tau) shows ~45 well-resolved peaks with narrow linewidths of 0.5 to 0.8 parts per million (ppm) for 13C and 0.9 to 1.1 ppm for 15N (Fig. 1D). Because this dipolar experiment preferentially detects immobilized residues, these narrow linewidths indicate that the MT-bound domain in P2R tau has a rigid and well-ordered structure. MT-bound full-length 0N4R tau exhibits a similar 2D NCα spectrum, indicating that full-length tau has a similar immobilized binding domain as P2R tau on preformed MTs (fig. S2). Thus, the N-terminal projection domain and the C-terminal domain, which are absent in P2R tau, do not cause substantial changes to the identity and the conformation of the MT-binding domain.
To facilitate the assignment of the MT-immobilized tau domain, we also investigated the dynamic residues of P2R tau in the MT-bound complex. 1D and 2D 1H-13C insensitive nuclei enhanced by polarization transfer (INEPT) spectra of P2R tau (Fig. 2, A and B, and fig. S3D) show many sharp signals at random coil chemical shifts (table S1), indicating the presence of highly mobile side chains and some backbones in MT-bound tau. We detected the Cβ signal of a Pro-preceding Ala, A(P), and the Cε peak of a Met in the INEPT spectrum, with an intensity ratio of ~1.0 (table S2). There is only a single A(P) residue (Ala246) and a single Met (Met250) residue in P2R tau, both located at the beginning of the R1 domain (Fig. 2D). Therefore, the N-terminal region of R1 is highly mobile. We also observed an INEPT peak for Pro-preceding Ser residues, whose intensity is about three times the intensities of the A(P) and Met peaks. There are only four Pro-preceding Ser residues in P2R tau, three in the P2 domain and one near the C terminus of the R′ domain. This large intensity cannot be all attributed to the single S(P) residue in R′; therefore, the P2 segment must contain highly dynamic Pro-preceding Ser residues. Last, among the small number of aromatic residues in P2R tau, we detected the INEPT signals of His side chains (Fig. 2, A and B), which occur in all five repeats, but no signals of Tyr and Phe side chains, which occur in R3, R4, and R′. Therefore, the Tyr and Phe residues and their immediate neighboring residues in R3, R4, and R′ are not highly mobile in MT-bound tau. These observations indicate that the most mobile residues in MT-bound P2R tau are concentrated in the N-terminal region of the protein, including the P2 and R1 segments, whereas the C-terminal portion of the protein is more immobilized.
The localization of the most dynamic domain of MT-bound tau to the Pro-rich N-terminal portion of the protein facilitated the identification of the immobilized segment of MT-bound P2R tau. A 2D 13C-13C (CC) spin diffusion correlation spectrum (Fig. 2C) resolved ~35 spin systems, among which more than two Ala, two His, and one Phe/Tyr residues are observed. Ala residues that do not precede Pro only occur in P2 and R′ (Fig. 2, D and E). Because the Pro-rich domain contains many high mobile residues, these rigid Ala’s are most likely located in the R′ domain. We also detected Tyr and Phe signals in the 2D CC spectrum, supporting the conclusion that the R3, R4, and R′ domains in the C-terminal half of P2R tau are more immobilized than that in the N-terminal half of the protein. To sequentially assign these immobilized residues, we analyzed the 2D NCα and 15N-13CO (NCO) correlation spectra of P2R tau (Fig. 1D) and supplemented these with the spectra of 0N4R tau (fig. S6). Although sensitivity limitations of these larger complexes prohibit 3D correlation experiments, the combination of 2D NCα, NCO, and 2D CC spectra (fig. S4) allowed us to sequentially assign 14 residues unambiguously and five residues with partial ambiguity (table S3). Among the assigned immobilized residues, the most N-terminal segment is the 354IGSLD358 motif in the R4 domain. A unique triplet 387DHG389 can be assigned, providing direct evidence of the involvement of the R′ in binding the MT. The 2D NCα spectrum resolved at least six Gly resonances, five of which can be assigned and three of which belong to a contiguous HVPGGG segment. There are only two HVPGGG motifs in P2R tau, one in the R4 domain and the other in the R2. Because the electron densities of MT-bound tau are continuous (13, 14), with rigid R4 and R′ segments already assigned in these dipolar spectra, we attribute these Pro and Gly signals to the 362HVPGGG367 motif in the R4 domain (Fig. 2E). This assignment is also consistent with the fact that the R2 domain lacks Ala, Phe/Tyr, and Thr residues, which exhibit clear dipolar correlation signals, whereas the R4-R′ domains contain these residue types. The measured chemical shifts of the immobilized residues (table S3) indicate β strand conformation for the Ile354-Gly367 segment in R4 and an extended conformation for the Ala382-Pro397 segment in R′ (fig. S5). Full-length 0N4R tau displays a similar 2D NCα spectrum as P2R tau (Fig. 1D), but with lower intensities. Joint analysis of the NCα spectrum with N(CO)Cα and N(CA)CB spectra (fig. S6) indicates that the same R4-R′ domain is immobilized in the full-length protein.
In neurons, tau is present at two- to fivefold lower concentrations (5 to 10 μM) than tubulin (up to ~23 μM) (18). To assess whether the NMR spectra of the 1:1 complex reflect specific interactions of tau with MTs, we diluted P2R tau by twofold and measured solid-state NMR spectra. The 2D CC and NCα spectra of this 1:0.5 (tubulin dimer:tau) complex exhibit the same chemical shifts as the 1:1 sample (fig. S7), indicating that the immobilization of R4-R′ is due to specific interactions rather than nonspecific crowding. The INEPT spectrum of the 1:0.5 complex has threefold higher Met Cε intensity than the A(P) Cβ intensity, suggesting that the P2-R1 region has become more mobile at lower tau concentrations. Water-edited spectra of the 1:0.5 MT-bound P2R tau sample show low water-transferred intensities (fig. S8), indicating that the MT-anchored R4-R′ region is well protected from water (19–21). This dehydration is independent of the tubulin:tau molar ratio, suggesting that the dynamic P2 and R1 domains sequester the R4-R′ region from water.
To investigate whether the conformation and dynamics of bound tau depend on the stability of the MTs, we incubated (at 37°C) and co-sedimented tubulin with a moderate excess of P2R tau (1:2 tubulin dimer:tau) in the absence of taxol (figs. S1 and S3). This coassembly gives rise to less stable MTs compared to taxol-stabilized samples, thus mimicking the dynamic end of the MT (22). The 2D NCα spectrum of this coassembled sample shows lower sensitivity and a smaller number of peaks compared to tau bound to taxol-stabilized MTs (Fig. 3A). In particular, the PGGG signals disappeared, indicating that the C terminus of R4 has become more disordered. Consistently, the 15N spectrum of the coassembled sample shows that the Gly signals are preferentially broadened compared to the taxol-stabilized MT-tau complex (Fig. 3C). Despite the increased dynamic disorder, characteristic chemical shifts of Arg, Ala, Thr, and Asp/Asn residues are observed in the 2D CC dipolar correlation spectrum and the NCα spectrum (Fig. 3, A and B, and fig. S9A). The only domain in tau that contains all these residue types is R′. Moreover, Tyr/Phe signals are still missing in the INEPT spectra (fig. S9B). Therefore, R′ remains to be the tau binding domain for dynamically unstable MTs. To verify the dynamics of these tau samples, we measured 13C-1H dipolar couplings (Fig. 4). The backbone Cα sites of tau bound to taxol-stabilized MTs show order parameters (SCH) of 0.8 to 0.9, irrespective of the binding stoichiometry (1:1 or 1:0.5). In comparison, the tubulin coassembled tau exhibits a smaller SCH value of ~0.7, indicating larger motional amplitudes. Therefore, the dynamically unstable MTs increase the mobility of bound tau compared to taxol-stabilized MTs.
Previous studies using saturation transfer NMR and cryo-EM found that tau is centered on the α-tubulin subunit of MTs (23). If fully extended, then the 45 residue R4-R′ segment that contains all sequentially assigned immobilized residues (Fig. 2E) would span a length of ~15 nm, or two tubulin dimers, each of which is ~8 nm long (24). However, the current data that both the 1:1 and 1:0.5 complexes (tubulin dimer to tau) give similar NMR spectra and co-sediment similarly imply that each tau binds one tubulin dimer instead of two (10, 13). Because the R′ domain already spans a tubulin dimer, this suggests that the rest of the protein progressively detaches from the MT surface (Fig. 5A). In the tubulin-tau coassembled complex, R4 is more mobile than the R′ domain (Fig. 3A), supporting the view that R′ has higher affinity to MTs than R4. This conclusion is also consistent with the cryo-EM data of a chimeric R2-replicated tau (vide infra), which show continuous electron densities that match ~27 residues but not more (14). These stoichiometric and geometric constraints, together with the previously reported electron density maps, suggest that, outside the R4-R′ regions, R2, R1, and P2 become increasingly dynamic and spaced away from the MT surface (Fig. 5A). In this way, these N-terminal segments might serve to recruit additional tubulin dimers for polymerization (11).
To obtain more information about the conformation of the MT-binding R′ in wild-type tau, we conducted homology modeling of R′ by fitting it into cryo-EM maps of MT-bound tau (14). The cryo-EM map of wild-type full-length tau (EMD-7522) shows continuous electron densities (Fig. 5B), but its resolution of 4.1 Å was not sufficient to permit direct identification of the bound segment. Instead, a higher-resolution (3.9 Å) map (EMD-7771) of a chimeric tau construct that contains four copies of R2 (P2-R2-R2-R2-R2-R′), which has similar shape and is indistinguishable from the wild-type tau densities, was modeled using Rosetta (25). This analysis found that a 27-residue segment in R2, spanning Lys274-Val300, binds the MT. We adopted the same approach for the R′ domain by first modeling it to fit the cryo-EM map of the chimeric R2 × 4 tau (EMD-7771). We generated 100 models of each of the seven possible 27-residue segments between G367 and V399 through refinement with Rosetta (fig. S10, A and B). The five lowest energy structures for each registry were used to assess the fit to the electron density by Rosetta energy and the binding affinity by PRODIGY (fig. S10, C to E) (26). We found that the Lys369-Lys395 segment in R′ gives the best Rosetta score and the best PRODIGY score. When this segment was inserted into the density map of wild-type full-length tau (EMD-7522), we found good agreement (fig. S11). The torsion angles of this Rosetta-refined R′ segment also agree with the chemical shift–derived torsion angles (fig. S5C), supporting the conclusion that this is the most likely MT-binding core in wild-type tau.
DISCUSSION
These NMR results indicate that the imperfect fifth repeat, R′, is the domain in wild-type tau that binds both stabilized and unstable MTs with the highest affinity (Fig. 5A). Even when the tau concentration is lowered (1:0.5 tubulin dimer:tau) to leave vacant tubulin dimers, the similarity of the dipolar NMR spectra with the spectra of the 1:1 complex (fig. S7) indicates that no other repeats are immobilized sufficiently to give dipolar correlation signals. Nor is the conformation of the bound R′ domain considerably altered by dilution. Therefore, in wild-type tau that contains both the pseudorepeat R′ and all four repeats, R′ outcompetes the other repeats for association with MTs. These result differ qualitatively from the current paradigm that all repeats in tau bind MTs similarly (14) and that each tau associates with two to five tubulin dimers (4, 9, 27).
The preferential immobilization of R′ by MTs observed in the current NMR spectra is in good agreement with a number of biophysical measurements of tau diffusion on MTs. For example, the diffusion constants of various tau deletion constructs in living neurons have been measured and compared using fluorescence decay after photoactivation (28). The data showed that the four regular repeats had only a modest influence on the MT binding affinity, whereas the R′ domain greatly enhanced MT binding by decreasing the dissociation rate of tau by sixfold. R′ deletion caused higher diffusion constants, whereas C terminus deletion caused lower diffusion constants. Similarly, fluorescence correlation spectroscopy experiments have been conducted on tau constructs that begin with the P2 domain and contain varying numbers and order of the repeats (29). These data showed that the presence of R′ slowed tau diffusion on unpolymerized MTs and increased the heterogeneity of the tau-tubulin coassembly compared to constructs without R′. Moreover, longer diffusion times correlate with higher polymerization rates of the MT, providing evidence that R′ binding is important for MT assembly. Last, binding assays of various tau constructs showed that the R1 to R4 repeats bind 10-fold more weakly in the absence of the flanking P2 and R′ domains [dissociation constant (Kd) ~25 to 50 μM] than in their presence (Kd ~1 to 3 μM) (9, 30). These biochemical data are in good agreement with the current results that the MT-immobilized residues are located in the R′ domain and the C-terminal portion of the R4 domain in taxol-stabilized samples. Moreover, the well-resolved solid-state NMR spectra for the immobilized residues imply that R′ directly acts as the rigid anchor onto the MTs, instead of serving as “jaws” (31, 32) that target other repeats to the MT surface.
Among the sequentially assigned MT-immobilized residues in the 1:1 complex, we attribute the HVPGGG motif to the R4 domain while ruling out the HVPGGG motif in the R2 domain. This is based on the high mobility of the N-terminal portion of the protein and the continuous electron densities of tau in the cryo-EM data (14). The longest continuous segment of tau in the electron density map, seen in the R2 × 4 chimeric tau, contained 27 residues. No other densities were found on the surface or in the lumen of MTs. Because the NMR spectra indicate that the binding stoichiometry is one tau to one tubulin dimer, each tubulin dimer should bind a continuous segment of about 27 residues. An alternative model where both R2 and R4-R′ contribute immobilized residues would entail multiple discontinuous segments in the intrinsically disordered tau to form rigid anchors on the MT, with a ~40-residue disordered loop between the end of the R2 HVPGGG motif and the beginning of the R4 IGSLD motif. Moreover, these two rigid anchors would have to lie close in space to satisfy the continuous electron densities and adopt well-ordered conformations to satisfy the narrow NMR linewidths. Such a model is energetically unlikely. The continuous nature of MT-bound tau residues is consistent with an increasing number of cryo-EM structures of other MT-associated proteins. These include the pierce1 and pierce2 proteins in dynein-decorated doublet MTs that function in cilia motility (33) and the SPM1 protein on the inner wall of the cortical MTs in the human parasite Toxoplasma gondii (34). All these proteins show a continuous segment anchored on the MTs, suggesting that the continuity of the bound domain might be a general feature of protein interactions with MTs.
While the current dipolar NMR spectra can be sequentially assigned to R′ and R4 residues, the most mobile residues detected in the 13C-1H INEPT spectra are enriched in the Pro-rich domain and the R1 domain of P2R tau. Residue-type analysis of these INEPT spectra shows that the P2 domain, which contain most of the S(P) residues and all T(P) residues in the protein, and the N terminus of the R1 domain, which contains the only A(P) and Met residues in the protein, are highly mobile. If we assume that these mobile residues result from a contiguous segment, then the relative intensities of the INEPT signals best match a 56-residue segment (Ser198-Leu253) that spans P2 and the first 10 residues of R1 (Fig. 2D and table S2). Some residues such as Ile from other regions of the protein also exhibit methyl signals in the INEPT spectra, indicating local segmental mobilities outside this N-terminal portion of the protein.
Our observation that the N terminus of R1 is mobile is in good agreement with the 3.2 Å cryo-EM map (EMD-7769) of a chimeric tau that contains four R1 repeats. Those data indicate that the MT-bound segment skips the N-terminal 12 residues of R1 but spans the next 12 residues from Val256 to Lys267 (Fig. 3D and fig. S11A). Thus, both the INEPT spectra of wild-type tau and the cryo-EM data of chimeric tau indicate that the N-terminal portion of R1, which is highly polar, is dynamically disordered and does not interact strongly with MTs. The polar N terminus of R1 has low sequence homology with the N terminus of R2 and R3 (Fig. 2, D and E), which contain an amyloidogenic hexapeptide motif (35). This suggests that in the R2 × 4 chimera where the Pro-rich P2 domain is followed by the hexapeptide-containing R2 instead of the polar N terminus of R1, the energetic balance in MT association would be altered compared to wild-type tau.
Why is R′, instead of one of the other four repeats, the ordered core that interacts with MTs? We hypothesize that the larger fraction of charged residues in R′-R4 is responsible for this high affinity to MTs. The conserved R′ has seven basic Lys/Arg residues and four acidic Asp/Glu residues, while R4 contains five each of basic and acidic residues. These two domains together are nearly twofold more charged than the other repeats, thus representing a distinct group in nearest-neighbor cluster analysis of the amino acid sequence (28). The fact that the R′ domain outcompetes the other four domains in binding MTs when all five repeats are present as in wild-type tau does not necessarily mean that the R1 to R4 repeats cannot associate with MTs with moderate affinity. The previous cryo-EM and Rosetta derived structural models of the 27-residue bound segment in the R2 × 4 chimera and the 12-residue bound segment in the R1 × 4 chimera suggest that the affinity of R′ for the MTs may not be substantially higher than that of the R1 to R4 repeats. Cooperative interactions of identical repeats in synthetic constructs could then change the energetic balance of MT association.
The central role of R′ in anchoring tau onto MTs has implications for the treatment of tauopathies. R′ contains many disease-relevant posttranslational modifications such as T386 and S396 phosphorylation, K369 and K385 ubiquitination, and Lys acetylation (36). Therefore, preventing posttranslational modifications in this domain to maintain tau binding to MTs can be a potential therapeutic approach. It is known that R3 and R4 constitute most of the rigid β sheet cores of tau fibrils in brains of Alzheimer’s disease and other tauopathies (Fig. 5C) (37–39). Therefore, the central role of R′ in binding MTs suggests that chemical strategies to stabilize this domain’s interaction with MTs might be useful for retaining tau function and preventing its aggregation into the β sheet fibrils found in neurodegenerative diseases.
MATERIALS AND METHODS
Expression of isotopically labeled P2R and 0N4R tau constructs
The gene encoding P2R tau (residues 198 to 399) contains a Tobacco Etch Virus (TEV) cleavage site and a His6 tag at the N terminus. This gene was cloned into a pET-28a vector and transfected into Escherichia coli BL21(DE3) competent cells (New England Biolabs). A starter culture was grown in 50 ml of LB medium containing kanamycin (50 μg/ml). After overnight growth at 37°C with 220 rpm shaking, 50 ml of overnight culture was used to inoculate 1 liter of LB medium containing kanamycin (50 μg/ml). Cells were grown at 37°C and 220 rpm until an optical density at 600 nm reached 1.0. Then, cells were spun down at 1000g and 4°C for 20 min, and the cell pellet was resuspended in 1 liter of minimal media containing M9 salts (1×), 15NH4Cl (1 g/liter), 13C glucose (2 g/liter), 1 mM MgSO4, 0.1 mM CaCl2, kanamycin (50 mg/ml), and vitamin/mineral supplements. Cells were grown in this minimal medium at 37°C and 220 rpm for 2 hours, then protein expression was induced with 1 mM isopropyl-β-d-thiogalactopyranoside (IPTG), and an additional 1 g of 13C glucose was added. Expression lasted 18 hours at 30°C with 180 rpm shaking. Expression of 0N4R tau was induced with 0.5 mM IPTG and lasted 5 hours at 37°C with 180 rpm shaking.
Purification of recombinant P2R tau and 0N4R tau
P2R tau was purified from the soluble fraction of cells using Ni2+ affinity column chromatography and reverse-phase high-performance liquid chromatography (HPLC). Cells were spun down at 6000g and 4°C for 15 min, and the pellet was resuspended in 40 ml of a lysis buffer containing 1× phosphate-buffered saline (PBS) (pH 7.4), 2 mM dithiothreitol (DTT), 0.05 mM phenylmethylsulfonyl fluoride (PMSF), and one tablet cOmplete protease inhibitor cocktail (Roche). Cells were lysed by sonication on ice (5 s on and 5 s off for 10 min; 550 Sonic Dismembrator, Fisher Scientific). The cell lysate was boiled for 10 min and spun at 20,000g for 60 min to remove cell debris and protein aggregates. Solubilized proteins were loaded on 5 ml of Profinity immobilized metal affinity chromatography (IMAC) resin charged with Ni2+ (Bio-Rad, CA, USA) that was previously washed with the binding buffer [1× PBS, 2 mM DTT, and 20 mM imidazole (pH 8)]. The resin was washed with 20 column volumes of binding buffer before proteins were eluted from the column with five column volumes of elution buffer [1× PBS, 2 mM DTT, and 400 mM imidazole (pH 8)]. The eluted fraction was loaded onto a desalting column (Econo-Pac 10DG, Bio-Rad, CA, USA) to exchange buffer for the TEV cleavage buffer [50 mM tris, 150 mM NaCl, 2 mM DTT, 0.05 mM EDTA, and 0.05 mM PMSF (pH 8)]. TEV protease was added at a ratio of ~3:100 (w/w) with respect to the protein after the protein was diluted to ~0.5 mg/ml to prevent aggregation. The cleavage reaction proceeded at 4°C for 16 hours with gentle rocking. After cleavage, 2 M guanidinium chloride was added, and the solution was loaded onto 5 ml of Ni2+/−charged resin that was previously washed with the binding buffer. The flow-through was collected and purified on a reverse-phase HPLC with a semipreparative column (250 mm in length, 21.2 mm inner diameter, C3, 7-μm particle size, 300 Å pore size; Higgins Analytical) using an acetonitrile gradient of 5 to 95% in 35 min. HPLC fractions that were >95% pure as determined by SDS–polyacrylamide gel electrophoresis with Coomassie blue staining were pooled and lyophilized to give powdered P2R tau. The yield of the purification was ~15 mg of protein per liter of M9 culture. 0N4R tau was purified using a similar method as described previously (20).
Tubulin extraction and purification
Tubulin was extracted from porcine brains and purified by repeated heat polymerization and cold depolymerization cycles, as described previously (40). In brief, fresh porcine brains were purchased from a local slaughterhouse and transported in ice-cold PBS [20 mM Na-phosphate and 150 mM NaCl (pH 7.2)]. Brains were rapidly cleaned of viscera and then homogenized in cold (4°C) depolymerization buffer [50 mM 2-(N-morpholino)ethanesulfonic acid (MES) buffer and 1 mM CaCl2 (pH 6.6)] using a blender. The homogenate was spun down for 60 min at 4°C and 20,000g. The supernatant was supplemented with an equal volume of warm (37°C) high-molarity Pipes buffer (1 M Pipes, 10 mM MgCl, and 20 mM EGTA, titrated to pH 6.9 with KOH), 1.5 mM adenosine 5′-triphosphate, and 0.5 mM GTP. An equal volume (one-third of the final volume) of warm glycerol was added to the solution, and then the mixture was incubated at 37°C for 60 min. The polymerized tubulin was ultracentrifuged at 151,000g for 30 min at 37°C. The pellet was resuspended in 100 ml of cold depolymerization buffer, and the mixture was left on ice for 30 min. The solution was ultracentrifuged again at 4°C for 30 min at 70,000g. Using the supernatant, an additional polymerization step was performed as above and ultracentrifuged. This time, the pellet was resuspended in 15 ml of BRB80 buffer (80 mM K-Pipes, 1 mM MgCl, and 1 mM GTP, titrated to pH 6.8 with KOH) and incubated on ice for 15 min. The mixture was then ultracentrifuged to clarify the solution for 15 min at 4°C at 300,000g. The final tubulin solution was immediately flash-frozen in liquid nitrogen. The concentration of tubulin was assessed using absorbance at 280 nm with an extinction coefficient of 115,000 M−1 cm−1. The uncertainty in the concentration measurement is estimated to be less than 5% and account for very small amounts of other proteins remaining in the final product.
MT polymerization and preparation of solid-state NMR samples
The required number of tubulin aliquots was rapidly defrosted (usually four tubes at ~5 mg/ml, or ~50 μM, ~20 mg in total), and the tubes were centrifuged at 16,000g for 5 min at room temperature to remove any aggregates. The tubulin solution was left on ice for 10 min before adding 1 mM GTP and 2 mM DTT. The sample was mixed by gentle inversion before being incubated on ice for 10 min and was then transferred to a heat block at 37°C for 1 hour and with gentle mixing every 15 min. This solution was incubated for another 30 min, during which 1, 10, and 30 μl of 1 mM taxol solution was added 10 min apart to reach equimolar concentration with respect to tubulin. Natural abundance or 13C, 15N-labeled P2R tau powder was dissolved in BRB80 buffer containing 2 mM DTT to reach a concentration of 1 mg/ml (~47 μM). The P2R tau amount was measured gravimetrically, because the protein has a small extinction coefficient of 2980 M−1 cm−1 due to the lack of Trp residues and the small number of other aromatic residues, which makes A280 measurements unreliable. The mass measurement is estimated to have an uncertainty of 15%. The MT and P2R tau solutions were mixed at the desired molar ratios of 1:1 or 1:0.5. These molar ratios have a propagated fractional uncertainty of 15%. The final concentration of MTs was 10 μM for all samples, while the tau concentration was diluted to 5 or 10 μM. The solutions were then incubated for 1 hour at room temperature without shaking but with gentle inversion every 15 min to facilitate mixing. The tau-MT mixture was collected by ultracentrifugation at 200,000g for 30 min and 28°C. For the NMR samples, pellets from multiple tubes were pooled by resuspending in BRB80 buffer containing 1 mM DTT and 20 μM taxol, followed by another ultracentrifugation step.
To prepare tubulin-tau coassembled samples, we diluted freshly defrosted tubulin to 10 μM and placed it on ice for 10 min before adding 1 mM GTP and 2 mM DTT. The mixture was gently inverted and then incubated for 10 min on ice, after which we added an equal volume of 20 μM P2R tau in BRB80 buffer containing 2 mM DTT. The solution was gently inverted, and then the tube was transferred to a heat block at 37°C for 1 hour without shaking but with gentle inversion every 15 min. The tubulin-tau coassembly was collected by ultracentrifugation at 200,000g for 30 min at 28°C. Consecutive ultracentrifugation of the solution fractions was performed to avoid resuspending the pellets, which may cause partial dissociation of these dynamically unstable MTs.
The tau-MT pellets were packed into 3.2-mm Revolution NMR pencil rotors and kept below 10°C during most NMR experiments. The samples typically consisted of ~20 mg of MTs and 2 or 4 mg of P2R tau or 7 mg of 0N4R tau. The total hydrated mass was ~40 mg. Negative-stain transmission electron microscopy (TEM) was used to assess the morphology of the samples (Fig. 1C and fig. S1). The complex was found by TEM to be stable at 4°C for at least 2 weeks. Therefore, the sample temperature for all solid-state NMR experiments was set to 2° to 8°C.
Transmission electron microscopy
Samples were adsorbed onto freshly glow-discharged, 200-mesh formvar/carbon-coated copper grids (Ted Pella), washed with water, and stained with 0.7% (w/v) uranyl formate for 15 to 20 s. TEM images were taken on an FEI Tecnai T12 electron microscope.
Solid-state NMR measurements and analysis
All solid-state NMR spectra were measured on Bruker Avance 800-MHz (18.8-T) spectrometer at the Francis Bitter Magnet Laboratory using a Black Fox 3.2-mm HCN MAS probe. Reported sample temperatures were estimated using the water 1H chemical shift calibrated using dextran sulfate sodium (41). 13C chemical shifts were referenced externally to the adamantane CH2 chemical shift at 38.48 ppm on the tetramethylsilane scale. 15N chemical shifts were referenced to the 15N peak of N-acetylvaline at 122.00 ppm on the liquid ammonia scale. More detailed experimental parameters are given in table S4.
Most 2D dipolar 15N-13C correlation spectra involve SPECIFIC cross-polarization (CP) (42) for 15N-13C polarization transfer. The Black Fox crossed-coil dual-resonator low-E coil (43) has higher radio frequency (rf) field homogeneity than solenoid coils and hence gives fourfold higher 15N-13C SPECIFIC-CP efficiencies compared to Bruker HCN probes. The spectra were measured at MAS frequencies of 10.5 or 14 kHz. Typical rf field strengths were 70 to 90 kHz for 1H, 30 to 50 kHz for 13C, and 25 to 40 kHz for 15N. Combined-driven (CORD) spin diffusion (44) was used for 13C mixing. CO-to-Cα polarization transfer in the N(CO)CA experiment was carried out using a modified BSH-CP sequence (21, 45), in which the 13C rf carrier frequency was placed at ~95 ppm, away from both Cα and CO peaks, to obtain high-efficiency double-quantum polarization transfer.
1D and 2D INEPT 1H-13C spectra were measured to detect the signals of dynamic residues. For 1H-13C CP, the contact time was either 70 or 800 μs, which selectively detect either highly rigid residues or both rigid and semirigid residues. For all 2D spectra, multiple 1-day blocks were recorded and added in the time domain before Fourier transformation. Spectra were either processed using QSINE apodization [shifted sine bell (SSB) = 3] to improve resolution or gaussian multiplication (GM) apodization (LB = −20 Hz and GB = 0.05) to improve sensitivity. The NMR spectra were processed in the TopSpin software, and chemical shift assignment was conducted using the Collaborative Computational Project for NMR (CCPNMR) software (46). The assigned chemical shifts were converted to secondary chemical shifts to predict (ϕ and ψ) torsion angles using the TALOS-N software (47).
Water-edited 1D 13C experiments started with a water-selective echo consisting of one rotor period before and after a 180° Gaussian pulse that lasted 10 rotor periods. The selected water magnetization was transferred to the protein protons by spin diffusion and chemical exchange (48, 49) and then cross-polarized to protein 13C sites for detection. When the 1H mixing time was 0 ms, no 13C CP signal was detected, confirming that the protein 1H magnetization was filtered out by the water-selective echo. When a mixing time of 100 ms was used, the 13C spectra displayed the same pattern as the unedited 13C CP spectra, but with half the intensity, indicating that water and protein proton magnetization is equilibrated by 100 ms. This 100-ms spectrum served as the control (S0) spectrum for intensity normalization. The hydration values S/S0 were calculated by integrating the 71 to 46 ppm region for the protein backbone Cα signals. Error bars were propagated from the signal-to-noise ratios of the 1D spectra.
The 2D 1H-13C dipolar-chemical-shift (DIPSHIFT) correlation experiment was performed at 10.5-kHz MAS at a sample temperature of ~5°C (50). After-70 μs 1H-13C CP to select the most rigid residues, the 13C magnetization was dephased by 1H-13C dipolar coupling during a doubled DIPSHIFT period (51). 1H-1H homonuclear decoupling was achieved using the Frequency Switched Lee–Goldburg (FSLG) sequence, whose theoretical scaling factor is 0.577 (52). The measured 13C intensities at various dephasing times were integrated from 63 to 50 ppm and normalized to the intensity of the first time point. These intensities ratios were compared with simulated doubled DIPSHIFT curves to determine the dipolar order parameter, SCH (Fig. 4). The simulations used a rigid-limit FSLG-scaled C-H dipolar coupling of 26.34 kHz.
To analyze the intensities of the 2D INEPT spectra, we first corrected the absolute intensities of each peak for the theoretical efficiencies in INEPT magnetization transfer for CH, CH2, and CH3 groups. The INEPT transfer efficiency for CH3 groups is three-fourths of that of CH/CH2 groups. Additional details are given in tables S2. To identify the dynamic segment in the 1:1 MT:P2R tau complex, we compared all integrated intensities to the A(P) Cβ intensity. The intensity ratios were then compared to the number of residues in the primary sequence.
Resonance assignment of the immobilized segments of MT-bound tau
To identify the rigid core of MT-bound tau, we assigned the 2D CC and NC dipolar correlation spectra by combining residue-type assignment and sequential assignment (table S3). For the two P2R tau samples, the 50-ms 2D CC spectra were first analyzed to identify the amino acid types of all rigid and semirigid residues. The aliphatic Cα, Cβ, and other side-chain chemical shifts are diagnostic of the residue type, while the backbone CO and Cα chemical shifts are used in conjunction with the 2D NCA and NCO spectra for sequential assignment. For the MT-bound P2R tau sample (1:1), these three spectra together allowed us to sequentially assign 19 residues, among which five residues are ambiguous due to partial resonance overlap (fig. S4). Some peaks in the 2D NCα spectrum are not assigned, because the low sensitivity of these MT-tau mixtures prohibits the measurement of 3D correlation spectra that are required for complete sequential assignment. The presence of these additional well-resolved peaks supports the conclusion that the full R′ domain is rigidified by MT binding. For MT-bound 0N4R tau (1:1), we measured 2D NCA, N(CO)CA, and N(CA)CB spectra (fig. S6). The N(CO)CA spectrum connects the backbone 15N chemical shift of residue i with the 13Cα chemical shift of the preceding residue i − 1, while the N(CA)CB spectrum provides side-chain Cβ chemical shifts to facilitate amino acid–type assignment. For the tubulin-P2R tau (1:2) coassembled sample, spectral sensitivity and resolution were limited by considerable protein dynamics. Thus, we only conducted residue-type assignment by connecting the 13C chemical shifts in the 2D CC spectrum (Fig. 3B) with the Cα signals in the 2D NCA spectrum (Fig. 3A).
Structure modeling of MT-bound R′
We produced a homology structure model of MT-bound R′ by using Rosetta to fit the best R′ segment into previously reported cryo-EM maps of MT-bound tau (14). The Rosetta suite (25) was accessed on the NMRbox server (53). We first fit the NMR-assigned MT-interacting R′ residues into the cryo-EM map of a synthetic tau construct that encompasses P2, four replicated R2 domains, and R′ (EMD-7771) (figs. S10 and S11). Starting from the previous model of an R2 (274 to 300) peptide (Protein Data Bank ID: 6cvn) bound to two β-tubulins and one α-tubulin, we used a RosettaCM protocol (14) to model R′ into the cryo-EM map. RosettaCM fits a molecular model into a low-resolution cryo-EM map via fragment insertion (53). We generated seven possible sequence threadings of R′ (fig. S10A) using a python protocol in the Rosetta suite. A custom XML script allowed 9- and 3-mer fragment insertions within the 27 residues, while the tubulin monomers were only allowed to move via minimization (i.e., no fragment insertion for tubulin). A total of 100 models were calculated for each of the seven sequence registers, requiring computation time of about a week. The five lowest energy models from each sequence register were selected for further analysis. The Rosetta energy scores were normalized to the tubulin-only structural model. PRODIGY for protein-protein complexes (26, 54) was used to predict the binding affinities at 25°C between each 27-residue tau constructs and the three tubulin monomers within the models (fig. S10, C to E). The best-fit model corresponds to residues 369 to 395, denoted as R′-3 (fig. S11C). This model was then inserted into the low-resolution cryo-EM map of full-length 2N4R tau (EMD-7522) using the “Fit in Map” function of the Chimera software.
Acknowledgments
Funding: This work is supported by NIH grant AG059661 to M.H. This study made use of NMR spectrometers at the MIT-Harvard Center for Magnetic Resonance, which is supported by NIH grant P41 GM132079. A.J.D. is supported by an NIH Ruth L. Kirschstein Individual National Research Service Award (F31AG069418).
Author contributions: M.H., H.K.W., and A.J.D. conceptualized the project. N.E.M. carried out protein purification and MT assemblies, with help from P.D., H.K.W., and A.J.D. N.E.M., A.J.D., and P.D. carried out solid-state NMR measurements. N.E.M. and H.K.W. assigned the NMR spectra. All authors interpreted the findings. N.E.M. and M.H. wrote the paper with input from all authors. M.H. supervised the project.
Competing interests: The authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
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REFERENCES AND NOTES
- 1.Alushin G. M., Lander G. C., Kellogg E. H., Zhang R., Baker D., Nogales E., High-resolution microtubule structures reveal the structural transitions in αβ-tubulin upon GTP hydrolysis. Cell 157, 1117–1129 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Weingarten M. D., Lockwood A. H., Hwo S. Y., Kirschner M. W., A protein factor essential for microtubule assembly. Proc. Natl. Acad. Sci. U.S.A. 72, 1858–1862 (1975). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wang Y., Mandelkow E., Tau in physiology and pathology. Nat. Rev. Neurosci. 17, 5–21 (2016). [DOI] [PubMed] [Google Scholar]
- 4.Hong M., Zhukareva V., Vogelsberg-Ragaglia V., Wszolek Z., Reed L., Miller B. I., Geschwind D. H., Bird T. D., McKeel D., Goate A., Morris J. C., Wilhelmsen K. C., Schellenberg G. D., Trojanowski J. Q., Lee V. M., Mutation-specific functional impairments in distinct tau isoforms of hereditary FTDP-17. Science 282, 1914–1917 (1998). [DOI] [PubMed] [Google Scholar]
- 5.Bramblett G. T., Goedert M., Jakes R., Merrick S. E., Trojanowski J. Q., Lee V. M., Abnormal tau phosphorylation at Ser396 in Alzheimer’s disease recapitulates development and contributes to reduced microtubule binding. Neuron 10, 1089–1099 (1993). [DOI] [PubMed] [Google Scholar]
- 6.Mandelkow E. M., Mandelkow E., Biochemistry and cell biology of tau protein in neurofibrillary degeneration. Cold Spring Harb. Perspect. Med. 2, a006247 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Goedert M., Jakes R., Spillantini M. G., Hasegawa M., Smith M. J., Crowther R. A., Assembly of microtubule-associated protein tau into Alzheimer-like filaments induced by sulphated glycosaminoglycans. Nature 383, 550–553 (1996). [DOI] [PubMed] [Google Scholar]
- 8.Orr M. E., Sullivan A. C., Frost B., A brief overview of tauopathy: Causes, consequences, and therapeutic strategies. Trends Pharmacol. Sci. 38, 637–648 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gustke N., Trinczek B., Biernat J., Mandelkow E. M., Mandelkow E., Domains of tau protein and interactions with microtubules. Biochemistry 33, 9511–9522 (1994). [DOI] [PubMed] [Google Scholar]
- 10.Kadavath H., Hofele R. V., Biernat J., Kumar S., Tepper K., Urlaub H., Mandelkow E., Zweckstetter M., Tau stabilizes microtubules by binding at the interface between tubulin heterodimers. Proc. Natl. Acad. Sci. U.S.A. 112, 7501–7506 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gigant B., Landrieu I., Fauquant C., Barbier P., Huvent I., Wieruszeski J. M., Knossow M., Lippens G., Mechanism of tau-promoted microtubule assembly as probed by NMR spectroscopy. J. Am. Chem. Soc. 136, 12615–12623 (2014). [DOI] [PubMed] [Google Scholar]
- 12.McKibben K. M., Rhoades E., Independent tubulin binding and polymerization by the proline-rich region of tau is regulated by tau’s N-terminal domain. J. Biol. Chem. 294, 19381–19394 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Al-Bassam J., Ozer R. S., Safer D., Halpain S., Milligan R. A., MAP2 and tau bind longitudinally along the outer ridges of microtubule protofilaments. J. Cell Biol. 157, 1187–1196 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kellogg E. H., Hejab N. M. A., Poepsel S., Downing K. H., DiMaio F., Nogales E., Near-atomic model of microtubule-tau interactions. Science 360, 1242–1246 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Reif B., Ashbrook S. E., Emsley L., Hong M., Solid-state NMR spectroscopy. Nat. Rev. Methods Primers 1, 2 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Luo Y., Xiang S., Hooikaas P. J., van Bezouwen L., Jijumon A. S., Janke C., Forster F., Akhmanova A., Baldus M., Direct observation of dynamic protein interactions involving human microtubules using solid-state NMR spectroscopy. Nat. Commun. 11, 18 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Yan S., Zhang H., Hou G., Ahmed S., Williams J. C., Polenova T., Internal dynamics of dynactin CAP-Gly is regulated by microtubules and plus end tracking protein EB1. J. Biol. Chem. 290, 1607–1622 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gard D. L., Kirschner M. W., Microtubule assembly in cytoplasmic extracts of Xenopus oocytes and eggs. J. Cell Biol. 105, 2191–2201 (1987). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Dregni A. J., Duan P., Hong M., Hydration and dynamics of full-length tau amyloid fibrils investigated by solid-state nuclear magnetic resonance. Biochemistry 59, 2237–2248 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Dregni A. J., Mandala V. S., Wu H., Elkins M. R., Wang H. K., Hung I., DeGrado W. F., Hong M., In vitro 0N4R tau fibrils contain a monomorphic β-sheet core enclosed by dynamically heterogeneous fuzzy coat segments. Proc. Natl. Acad. Sci. U.S.A. 116, 16357–16366 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dregni A. J., Wang H. K., Wu H., Duan P., Jin J., DeGrado W. F., Hong M., Inclusion of the C-terminal domain in the β-sheet core of heparin-fibrillized three-repeat tau protein revealed by solid-state nuclear magnetic resonance spectroscopy. J. Am. Chem. Soc. 143, 7839–7851 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Manka S. W., Moores C. A., Microtubule structure by cryo-EM: Snapshots of dynamic instability. Essays Biochem. 62, 737–751 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kadavath H., Cabrales Fontela Y., Jaremko M., Jaremko L., Overkamp K., Biernat J., Mandelkow E., Zweckstetter M., The binding mode of a tau peptide with tubulin. Angew. Chem. Int. Ed. Engl. 57, 3246–3250 (2018). [DOI] [PubMed] [Google Scholar]
- 24.Nogales E., Wolf S. G., Downing K. H., Structure of the alpha beta tubulin dimer by electron crystallography. Nature 391, 199–203 (1998). [DOI] [PubMed] [Google Scholar]
- 25.Fleishman S. J., Leaver-Fay A., Corn J. E., Strauch E. M., Khare S. D., Koga N., Ashworth J., Murphy P., Richter F., Lemmon G., Meiler J., Baker D., RosettaScripts: A scripting language interface to the Rosetta macromolecular modeling suite. PLOS ONE 6, e20161 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Xue L. C., Rodrigues J. P., Kastritis P. L., Bonvin A. M., Vangone A., PRODIGY: A web server for predicting the binding affinity of protein-protein complexes. Bioinformatics 32, 3676–3678 (2016). [DOI] [PubMed] [Google Scholar]
- 27.Hirokawa N., Shiomura Y., Okabe S., Tau proteins: The molecular structure and mode of binding on microtubules. J. Cell Biol. 107, 1449–1459 (1988). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Niewidok B., Igaev M., Sundermann F., Janning D., Bakota L., Brandt R., Presence of a carboxy-terminal pseudorepeat and disease-like pseudohyperphosphorylation critically influence tau’s interaction with microtubules in axon-like processes. Mol. Biol. Cell 27, 3537–3549 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li X. H., Rhoades E., Heterogeneous tau-tubulin complexes accelerate microtubule polymerization. Biophys. J. 112, 2567–2574 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mandelkow E. M., Biernat J., Drewes G., Gustke N., Trinczek B., Mandelkow E., Tau domains, phosphorylation, and interactions with microtubules. Neurobiol. Aging 16, 355–362 (1995). [DOI] [PubMed] [Google Scholar]
- 31.Preuss U., Biernat J., Mandelkow E. M., Mandelkow E., The “jaws” model of tau-microtubule interaction examined in CHO cells. J. Cell Sci. 110 ( Pt. 6), 789–800 (1997). [DOI] [PubMed] [Google Scholar]
- 32.Mukrasch M. D., von Bergen M., Biernat J., Fischer D., Griesinger C., Mandelkow E., Zweckstetter M., The “jaws” of the tau-microtubule interaction. J. Biol. Chem. 282, 12230–12239 (2007). [DOI] [PubMed] [Google Scholar]
- 33.Gui M., Farley H., Anujan P., Anderson J. R., Maxwell D. W., Whitchurch J. B., Botsch J. J., Qiu T., Meleppattu S., Singh S. K., Zhang Q., Thompson J., Lucas J. S., Bingle C. D., Norris D. P., Roy S., Brown A., De novo identification of mammalian ciliary motility proteins using cryo-EM. Cell 184, 5791–5806.e19 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wang X., Fu Y., Beatty W. L., Ma M., Brown A., Sibley L. D., Zhang R., Cryo-EM structure of cortical microtubules from human parasite Toxoplasma gondii identifies their microtubule inner proteins. Nat. Commun. 12, 3065 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sawaya M. R., Sambashivan S., Nelson R., Ivanova M. I., Sievers S. A., Apostol M. I., Thompson M. J., Balbirnie M., Wiltzius J. J., McFarlane H. T., Madsen A. Ø., Riekel C., Eisenberg D., Atomic structures of amyloid cross-beta spines reveal varied steric zippers. Nature 447, 453–457 (2007). [DOI] [PubMed] [Google Scholar]
- 36.Wesseling H., Mair W., Kumar M., Schlaffner C. N., Tang S., Beerepoot P., Fatou B., Guise A. J., Cheng L., Takeda S., Muntel J., Rotunno M. S., Dujardin S., Davies P., Kosik K. S., Miller B. L., Berretta S., Hedreen J. C., Grinberg L. T., Seeley W. W., Hyman B. T., Steen H., Steen J. A., Tau PTM profiles identify patient heterogeneity and stages of Alzheimer’s disease. Cell 183, 1699–1713.e13 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Falcon B., Zivanov J., Zhang W., Murzin A. G., Garringer H. J., Vidal R., Crowther R. A., Newell K. L., Ghetti B., Goedert M., Scheres S. H. W., Novel tau filament fold in chronic traumatic encephalopathy encloses hydrophobic molecules. Nature 568, 420–423 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Fitzpatrick A. W. P., Falcon B., He S., Murzin A. G., Murshudov G., Garringer H. J., Crowther R. A., Ghetti B., Goedert M., Scheres S. H. W., Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature 547, 185–190 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Zhang W., Tarutani A., Newell K. L., Murzin A. G., Matsubara T., Falcon B., Vidal R., Garringer H. J., Shi Y., Ikeuchi T., Murayama S., Ghetti B., Hasegawa M., Goedert M., Scheres S. H. W., Novel tau filament fold in corticobasal degeneration. Nature 580, 283–287 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Castoldi M., Popov A. V., Purification of brain tubulin through two cycles of polymerization-depolymerization in a high-molarity buffer. Protein Expr. Purif. 32, 83–88 (2003). [DOI] [PubMed] [Google Scholar]
- 41.Böckmann A., Gardiennet C., Verel R., Hunkeler A., Loquet A., Pintacuda G., Emsley L., Meier B. H., Lesage A., Characterization of different water pools in solid-state NMR protein samples. J. Biomol. NMR 45, 319–327 (2009). [DOI] [PubMed] [Google Scholar]
- 42.Baldus M., Petkova A. T., Herzfeld J., Griffin R. G., Cross polarization in the tilted frame: Assignment and spectral simplification in heteronuclear spin systems. Mol. Phys. 95, 1197–1207 (1998). [Google Scholar]
- 43.McNeill S. A., Gor’kov P. L., Shetty K., Brey W. W., Long J. R., A low-E magic angle spinning probe for biological solid state NMR at 750 MHz. J. Magn. Reson. 197, 135–144 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hou G., Yan S., Sun S., Han Y., Byeon I. J., Ahn J., Concel J., Samoson A., Gronenborn A. M., Polenova T., Spin diffusion driven by R-symmetry sequences: Applications to homonuclear correlation spectroscopy in MAS NMR of biological and organic solids. J. Am. Chem. Soc. 133, 3943–3953 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hoffmann J., Ruta J., Shi C. W., Hendriks K., Chevelkov V., Franks W. T., Oschkinat H., Giller K., Becker S., Lange A., Protein resonance assignment by BSH-CP-based 3D solid-state NMR experiments: A practical guide. Magn. Reson. Chem. 58, 445–465 (2020). [DOI] [PubMed] [Google Scholar]
- 46.Skinner S. P., Fogh R. H., Boucher W., Ragan T. J., Mureddu L. G., Vuister G. W., CcpNmr AnalysisAssign: A flexible platform for integrated NMR analysis. J. Biomol. NMR 66, 111–124 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Shen Y., Bax A., Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks. J. Biomol. NMR 56, 227–241 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Williams J. K., Hong M., Probing membrane protein structure using water polarization transfer solid-state NMR. J. Magn. Reson. 247, 118–127 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Wang T., Jo H., DeGrado W. F., Hong M., Water distribution, dynamics, and interactions with Alzheimer’s β-amyloid fibrils investigated by solid-state NMR. J. Am. Chem. Soc. 139, 6242–6252 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Munowitz M. G., Griffin R. G., Bodenhausen G., Huang T. H., Two-dimensional rotational spin-echo nuclear magnetic resonance in solids: Correlation of chemical shift and dipolar interactions. J. Am. Chem. Soc. 103, 2529–2533 (1981). [Google Scholar]
- 51.Hong M., Gross J. D., Rienstra C. M., Griffin R. G., Kumashiro K. K., Schmidt-Rohr K., Coupling amplification in 2D MAS NMR and its application to torsion angle determination in peptides. J. Magn. Reson. 129, 85–92 (1997). [DOI] [PubMed] [Google Scholar]
- 52.Bielecki A., Kolbert A. C., Levitt M. H., Frequency-switched pulse sequences: Homonuclear decoupling and dilute spin NMR in solids. Chem. Phys. Lett. 155, 341–346 (1989). [Google Scholar]
- 53.Maciejewski M. W., Schuyler A. D., Gryk M. R., Moraru I. I., Romero P. R., Ulrich E. L., Eghbalnia H. R., Livny M., Delaglio F., Hoch J. C., NMRbox: A resource for biomolecular NMR computation. Biophys. J. 112, 1529–1534 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Vangone A., Bonvin A. M., Contacts-based prediction of binding affinity in protein-protein complexes. eLife 4, e07454 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Shi Y., Zhang W., Yang Y., Murzin A. G., Falcon B., Kotecha A., van Beers M., Tarutani A., Kametani F., Garringer H. J., Vidal R., Hallinan G. I., Lashley T., Saito Y., Murayama S., Yoshida M., Tanaka H., Kakita A., Ikeuchi T., Robinson A. C., Mann D. M. A., Kovacs G. G., Revesz T., Ghetti B., Hasegawa M., Goedert M., Scheres S. H. W., Structure-based classification of tauopathies. Nature 598, 359–363 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wang Y., Jardetzky O., Probability-based protein secondary structure identification using combined NMR chemical-shift data. Protein Sci. 11, 852–861 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
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