Abstract
Tau, as typical of intrinsically disordered proteins (IDPs), binds to multiple targets including microtubules and acidic membranes. The latter two surfaces are both highly negatively charged, raising the prospect of mimicry in their binding by tau. The tau‐microtubule complex was recently determined by cryo‐electron microscopy. Here, we used molecular dynamics simulations to characterize the dynamic binding of tau K19 to an acidic membrane. This IDP can be divided into three repeats, each containing an amphipathic helix. The three amphipathic helices, along with flanking residues, tether the protein to the membrane interface. The separation between and membrane positioning of the amphipathic helices in the simulations are validated by published EPR data. The membrane contact probabilities of individual residues in tau show both similarities to and distinctions from native contacts with microtubules. In particular, a Lys that is conserved among the repeats forms similar interactions with membranes and with microtubules, as does a conserved Val. This partial mimicry facilitates both the membrane anchoring of microtubules by tau and the transfer of tau from membranes to microtubules.
Keywords: binding mimicry, intrinsically disordered proteins, membrane binding, microtubule‐associated proteins, tau
1. INTRODUCTION
The microtubule‐associated protein tau exists in one of six isoforms, differing in the presence or absence of two adjacent N‐terminal inserts and of the second of four partially repeated microtubule‐binding regions (MTBRs; Goedert et al., 1989). During neuronal development, tau is enriched in the axon and is responsible for microtubule assembly and stabilization (Cleveland et al., 1977; Drubin & Kirschner, 1986). In addition, it regulates axonal transport by acting as a gate for dynein and kinesin motor proteins as they move along microtubules (Dixit et al., 2008). Tau mediates these functions by binding directly to and diffusing along microtubules, through its four MTBRs (R1–R4). Microtubule‐bound tau can form condensates known as “envelopes” (Siahaan et al., 2022). In solution, tau can also form condensates that facilitate further aggregation into neurofibrillary tangles (Ambadipudi et al., 2017; Wegmann et al., 2018). Accumulation of tau tangles in the brain is a hallmark of multiple neurodegenerative diseases including Alzheimer's.
The functions and disease linkage of tau are intimately related to its nature of being intrinsically disordered. Like many other intrinsically disordered proteins (IDPs), tau bind multiple targets. In addition to microtubules, the targets include annexins A2 and A6 (interacting with tau's extreme N‐terminus; Gauthier‐Kemper et al., 2018) and Src‐family kinases such as Fyn (interacting with tau's proline‐rich region; Lee et al., 1998). Binding to such membrane‐bound targets may contribute to the localization of tau at membrane surfaces (Brandt et al., 1995; Pooler et al., 2012). Moreover, the MTBRs not only bind to microtubules but also to acidic membranes (Georgieva et al., 2014; Kunze et al., 2012), implicating direct binding to the inner leaflet of the plasma membrane. The fact that both microtubules (Baker et al., 2001) and acidic membranes have highly negatively charged surfaces raises the prospect of mimicry in their binding by tau. This prospect is supported by two other observations. First, the MTBRs bind DNA (Wei et al., 2008) and RNA (Kampers et al., 1996), which also have highly negatively charged surfaces. Second, tau forms aggregates at acidic membrane surfaces (Elbaum‐Garfinkle et al., 2010; Majewski et al., 2020) and condensates known as “hot spots” at the plasma membrane (Padmanabhan et al., 2022), similar to tau condensate formation over microtubules (Siahaan et al., 2022). A common mechanism for the enhancement of aggregation or condensation may be that the negatively charged surfaces serve to neutralize and concentrate tau (Sallaberry et al., 2021).
The atomic structure of the tau‐microtubule complex was recently determined by cryo‐electron microscopy (cryo‐EM; Brotzakis et al., 2021). In contrast, information about the complex between tau and acidic membranes is much more limited, due to the highly dynamic nature of this complex. Solid‐state NMR has revealed the involvement of Lys residues in the binding of tau K19, a construct comprising MTBRs R1, R3, and R4 (Figure 1a), to DMPC/DMPS membranes, and the participation of a subset of Val residues in helix formation at the DMPS membrane surface (Kunze et al., 2012). Whether the secondary structures were α‐helices or β‐strands (or even whether the protein was monomeric) was left unresolved in that study, but a subsequent study based on electron paramagnetic resonance (EPR) unequivocally identified three amphipathic helices in a monomeric state (Figure 1a,b) when tau K19 was bound to POPC/POPS membranes at lipid‐to‐protein ratios ≥1200:1 (Georgieva et al., 2014). Molecular dynamics (MD) simulations have much to offer in characterizing atomic details of IDP binding to membranes, as demonstrated in our recent studies (Dey & Zhou, 2022; Hicks et al., 2021; Smrt et al., 2022) and by others for a tau amyloid fibril core dimer (Nguyen & Derreumaux, 2022). For a recent review, see Nguyen et al. (2021).
Here, we report MD simulation results of tau K19 bound to POPC/POPS membranes. Our MD simulations show that three amphipathic helices, one in each repeat, stably bind to the membrane. In each amphipathic helix, a Lys that is conserved among the MTBRs, along with other charged and polar sidechains, interacts with lipid headgroups, while a conserved Val along with two other nonpolar sidechains inserts into the hydrophobic region of the membrane. Interestingly, we note that these conserved residues also form similar interactions with microtubules. We propose that this partial mimicry facilitates both the membrane anchoring of microtubules by tau and the transfer of tau from membranes to microtubules.
2. RESULTS
2.1. An amphipathic helix in each repeat of tau K19 stably binds to POPC/POPS membranes
The sequence of tau K19, separated into three repeats, is shown in Figure 1a. Based on published EPR data (Georgieva et al., 2014) and on the amphipathic sequence pattern (Figure 1b), we modeled 10 residues (underlined in Figure 1a) in each of the three repeats in tau K19 as a helix and placed it at the hydrophilic‐hydrophobic interface of POPC/POPS (1:1) membranes. Apart from modest terminal fraying in the helix in repeat 1 (helix 1), the helices are well maintained (Figure S1) in four replicate simulations (two for 1300 ns and two for 600 ns). As illustrated by a snapshot shown in Figure 2, the three helices also stably bind to the membrane.
As the first validation of the MD simulations against experimental data, we calculated the distributions of distances between spin labels (MTSSL) at seven pairs of positions, and compared them with the counterparts obtained using double electron–electron resonance (DEER; Georgieva et al., 2014). The seven pairs of distances are between Ser residues at a conserved position (Ser258, Ser320, and S352; see Figure 1a) in the three repeats, or between a Gly residue at the C‐terminus of repeat 1 or 3 (Gly273 or Gly335) and an upstream or downstream neighboring conserved Ser. The three Ser residues are at the top of the amphipathic helices while the two Gly residues are near the middle of the linker between two adjacent helices (Figure 2a,b). Figure 3 shows that the distance distributions calculated from the MD simulations overlap well with the DEER results. The distance distributions are broad, partly due to the flexibility of the spin labels. They peak around 40 Å for a pair of Ser residues in two neighboring helices (helices 1 and 3 or helices 3 and 4) and around 30 Å between a terminal Gly and a neighboring conserved Ser. For the seventh pair, between the Ser residues in helices 1 and 4, the DEER data only placed a lower bound of 60 Å for the peak distance; the peak distance, 81 Å, from the MD simulations is consistent with this bound.
2.2. Interactions mediating tau K19‐membrane binding show both similarities and distinctions among the three repeats
To identify the residues that mediate tau K19‐membrane binding, we used two complementary measures. The first is Z tip, the displacement of the sidechain heavy tip atom of each residue from the membrane surface, defined as the mean plane of the lipid phosphorus atoms. The second is the membrane contact probability, calculated as the fraction of MD snapshots in which a residue is in contact with the membrane (i.e., with at least one pair of heavy atoms within 3.5 Å).
The Z tip results are presented in Figure 4. Helix 1 is buried relatively superficially in the membrane, with mean Z tip values ranging from around −1.5 Å for the nonpolar sidechains (Leu253, Val256, and Ile260) at the bottom to around 5 Å for polar and charged sidechains (Lys254, Asn255, Ser258, and Ser262) at the top. The oscillation in the mean Z tip values is due to the positioning of the residues around the helix (see Figure 1b). Helix 3 is more deeply buried, with mean Z tip values around −4.5 Å for the nonpolar sidechains (Leu315, Val318, and Ala322) at the bottom and around 2.5 Å for sidechains (Lys317 and Ser320) at the top. This helix is tilted so the burial is deeper at the N‐terminus. Helix 4 is buried in a similar range of depths as helix 3, but tilted in the oppositely direction, such that the burial depths of the nonpolar sidechains (Phe346, Val350, and Ile354) progressively increase, with mean Z tip reaching −6 Å at Ile354. At the top of this helix, Asp348 and Ser352 have mean Z tip values around 2 Å. In addition, the C‐terminal extension of five residues, with sequence SLDNI, has a tendency to form a 310 helix (Figure S1), and is also positioned near the membrane hydrophobic‐hydrophilic interface. Indeed, the two nonpolar sidechains, Leu357 and Ile360 are buried as deeply as the third nonpolar residue, Ile354, within helix 4. The middle of each interhelical linker as well as the two termini of tau K19 are well above the membrane surface.
Figure 2a provides an illustration for the different depths of burial between helix 1 and helices 3 and 4, the opposite tilting of helices 3 and 4, and the burial of the C‐terminal extension of helix 4. Figure 2c–e further shows that, in helices 3 and 4, the nonpolar sidechains cross a flat hydrophilic–hydrophobic interface into the hydrophobic region of the membrane, whereas in helix 1 it looks as if local acyl chains move up to surround the nonpolar sidechains. Note that the second of the three nonpolar residues in each helix is a conserved Val (see Figure 1a).
The Z tip results are validated by EPR data obtained from accessibility to spin labels (Georgieva et al., 2014). The same oscillation patterns of mean Z tip values in the three helical segments are exhibited by the experimental depth parameter –Φ. Low mean Z tip values for the three nonpolar sidechains in each helix are matched by low –Φ values, while high mean Z tip values for the sidechains on top of the helices, including Asn255 and Ser258 in helix 1, Ser320 in helix 2, and Asp348 and Ser352, are matched by high –Φ values. The shallower burial of helix 1 also seems to be supported by the accessibility data: when the –Φ values for each helical region were fit to a sine function, the resulting function for helix 1 reached a higher level than those for helices 3 and 4. The periodicity of the sine‐function fit was 3.6 residues, consistent with the value of an α‐helix. In contrast, the periodicity for β‐strands is two residues. If the 10 underlined residues in Figure 1a in each repeat were to form a β‐strand, not only the periodicity would be incompatible with the –Φ data, but also the projections of the sidechains would be incompatible with the membrane environment (Figure S2). In particular, charged residues (Lys254 in repeat 1, Asp314 in repeat 3, and Asp348 in repeat 4) would either be forced to enter the hydrophobic region of the membrane or disrupt the membrane. Either way, the membrane binding would be unstable.
The membrane contact probabilities corroborate the Z tip results but also provide additional information (Figure 5a). As expected, the three nonpolar sidechains have the highest or close to the highest membrane contact probabilities, which are around 94% for helix 1 and nearly 100% for helices 3 and 4. In contrast, sidechains at the top of each helix have lower membrane contact probabilities, dipping below 50% for Lys254, Asn255, and Ser258 in helix 1, Lys317 in helix 3, and Asp348 and Ser352 in helix 4.
In addition to the insertion of the nonpolar sidechains into the hydrophobic region, membrane binding of each amphipathic helix is also stabilized by electrostatic interactions of charged and polar sidechains, located on the sides of the helix, with lipid headgroups. Among these is a conserved Lys (see Figure 1a,b), three positions downstream of the conserved Val. These Lys residues, at 259, 321, and 353, all have membrane contact probabilities close to the maxima in their respective helices. As shown in Figure 2c–e, their sidechains project sideways, with the nonpolar portion atop the hydrophobic region and the terminal amine tipping upward into the headgroup region. In both helices 1 and 4, a Lys (at 257 and 347) occupies a similar location as the conserved Lys but on the opposite side of the helix. Unique to helix 4, an Arg residue (at 349) is positioned just above the conserved Lys, with its guonidino group pointing upward to form extensive interactions with lipid headgroups. In the same helix, Gln351 sits opposite of Arg349, with its amide reaching into the headgroup region. Additional residues with high membrane contact probabilities are two residues with short polar sidechains, Ser316 and Thr329, in helix 3 and two Gly residues, 323 in helix 3 and 355 in helix 4.
In short, the three helices have three conserved residues, each representing a different facet of an amphipathic helix. The conserved Ser sits on top of the helix and participates minimally in lipid interactions; the conserved Val is at the bottom of the helix and reaches into the hydrophobic region of the membrane; the conserved Lys projects sideways and forms electrostatic interactions with lipid headgroups. These roles of Val and Lys residues are supported by solid‐state NMR data (Kunze et al., 2012). Specifically, 13C‐13C correlation spectra of tau K19 bound to DMPC membranes showed that a subset of Val residues participate in helix formation. We now suggest that this subset consists of the three Val residues (out of a total of 10 Val residues) at the conserved position in the three amphipathic helices. Furthermore, 1H‐13C heteronuclear correlation spectra showed the involvement of Lys residues in the membrane binding of tau K19. Our simulation results document significant contributions of Lys residues, at both the conserved position and other nonconserved positions, to membrane binding.
There are also significant differences among the three helices in membrane interactions. The most notable is the much shallower burial of helix 1 relative to helices 3 and 4. One reason for this difference is the high number of polar and charged residues at the top of helix 1. This number is five for helix 1, compared to three for helix 3 or 4. These helix‐top sidechains have limited ability to interact with lipids and thus contribute relatively little to membrane biding. A second reason is flanking residues. We have already noted the membrane insertion of the C‐terminal extension of helix 4. According to the membrane contact data in Figure 5a, no flanking residues of helix 1 have >75% membrane contact probabilities, but there are six such residues for helix 3 and eight such residues for helix 4. The flanking residues may also be responsible for the opposite tilts of helices 3 and 4. The membrane insertion of the C‐terminal extension may explain the deeper burial at the C‐terminus of helix 4. For helix 3, only the first part of the C‐terminal extension is buried; instead, the tilt of this helix appears to be driven by Lys311 in the N‐terminal extension, which is well positioned in the headgroup region (see Figure 2a).
2.3. Partial mimicry between microtubule binding and membrane binding
The microtubule‐bound structure of a tau construct comprising the four MTBRs plus flanking regions (residues 202 to 395) was recently determined by cryo‐EM (Protein Data Bank entry 7PQC; Brotzakis et al. 2021). The MTBRs are stretched into a linear conformation lying atop the microtubule surface (Figure S2A). At first glance, there is very little resemblance between the microtubule‐bound tau and the membrane‐bound tau (Figure 2b), which forms a helix in each repeat. Closer inspections, however, revealed interesting mimicry. To assess the similarities and differences of tau‐microtubule interactions to tau‐membrane interactions, we calculated microtubule contact numbers of tau (i.e., number of microtubule residues within 5 Å of a tau residue) in the cryo‐EM structure (Figure 5b). We also highlight some of the tau‐microtubule interactions in Figures 5c and S2B–F.
The most striking similarity involves the conserved Lys and Val residues. As shown in Figure 2c–e, when tau is bound to acidic membranes, the Lys sidechains form electrostatic interactions with lipid headgroups while the Val sidechains (the second of three nonpolar resides in each amphipathic helix) insert into the hydrophobic region. On the microtubule surface, the conserved Lys residues form a salt bridge with α‐tubulin Asp424, located on the side of an α‐helix (Figures 5c and S2B–D), while the conserved Val residues form hydrophobic interactions with a pair of Ala residues (426 and 427) at the top of the same α‐helix (see also Figure S2E). The high membrane contact probabilities of these conserved residues are matched by the high microtubule contact numbers per tau heavy atom (Figure 5a,b). The third nonpolar sidechain (Ile260, Ala322, or Ile354 in tau K19), previously found in the membrane‐bound amphipathic helix, also projects into a hydrophobic pocket in the microtubule‐bound structure, with the fit being the best in repeat 4 (shown in Figure S2E). On the other hand, the residues facing the first nonpolar sidechain (Leu253, Leu315, or Phe346 in tau K19) are all polar or charged. Correspondingly the microtubule contact numbers of these nonpolar residues are relatively low.
The second similarity involves some of the residues at the top of the amphipathic helices in the membrane‐bound state and have <50% membrane contact probabilities. Of these, Lys254 and Asn255 in repeat 1, Lys317 in repeat 3, and Asp348 in repeat 4 all have their sidechains projected away from microtubules, and therefore have minimal microtubule contact numbers. That is, these residues participate minimally in both membrane and microtubule binding.
The third similarity lies in the lower level of repeat 1 in engaging with the target surfaces when compared the downstream repeats. As reported above, helix 1 has a shallower burial into the membrane relative to helices 3 and 4. Brotzakis et al. 2021 also noted that repeat 1 is less stably bound to microtubules than repeats 2 to 4. The differences between repeats can be quantified by membrane contact probabilities and microtubule contact numbers. The number of residues with >75% membrane contact probabilities is 5 for repeat 1 but goes up to 15 each for repeats 3 and 4. Likewise, the number of tau residues with >4 microtubule contact numbers per heavy atom is 6 for repeat 1 but is approximately doubled, to 11 and 13, respectively, for repeats 3 and 4. For repeat 4, we have already mentioned that the hydrophobic fit of the third nonpolar sidechain is the best. In addition, Arg349, which as part of the fourth amphipathic helix forms extensive electrostatic interactions with lipid headgroups (Figure 2e), also forms a salt bridge with Glu437 in the C‐terminal tail of a neighboring β‐tubulin (Figure S2F).
Tau's interactions with microtubules also have noticeable differences from the counterparts with membranes. The fact that the first nonpolar sidechain faces a polar environment on the microtubule surface, as opposed to the hydrophobic region within the membrane, has been stated above. In addition, two of the conserved Ser residues (at 258 and 352) at the top of a tau amphipathic helix have relatively low membrane contact probabilities, but on the microtubule surface they hydrogen bond to Glu434 in one α‐tubulin chain and Asp431 in another α‐tubulin chain, respectively. Last, a partial difference between membrane and microtubule binding is observed on a conserved Asn (at 265, 327, or 359). The conserved Asn residues in repeats 3 and 4 participate in membrane binding as part of the C‐terminal extension of an amphipathic helix, but the counterpart in repeat 1 is above the membrane surface. In comparison, the conserved Asn residues in all the repeats participate in microtubule binding, forming a hydrogen bond with β‐tubulin Lys392 and/or an amino–π interaction with β‐tubulin Phe389.
3. DISCUSSION
Using MD simulations, we have characterized the atomic details of tau K19 binding to acidic membranes. An amphipathic helix is formed in each of the three repeats to anchor the membrane binding. These helices have three conserved residues, each representing a different facet of membrane interactions. A Val sidechain at the bottom of the helix inserts into the hydrophobic region whereas a Lys sidechain projects sideways into the headgroup region. In contrast, a Ser at the top of the helix minimally participate in membrane interactions. Other residues in the amphipathic helices as well as N‐ and C‐terminal extensions provide distinctions to the three repeats in membrane binding stability. In particular, helix 1 is less deeply buried than the downstream helices.
Previous experimental data (Georgieva et al., 2014; Kunze et al., 2012) have provided important validation of our MD simulation results, including the distances between the helices, the burial depths of helical regions, and the roles of Val and Lys residues in membrane binding. However, the present study has gone far beyond, in both depth and completeness, in characterizing the monomeric tau‐membrane system. First, whereas the previous studies were either unable to provide residue‐specific information or limited to the three helical regions, we have obtained residue‐specific data for the entire tau K19 sequence, in particular, regarding the contributions of flanking residues to membrane binding. Second, our simulation data have revealed an important difference in membrane binding stability between repeat 1 and repeats 3 and 4. Third, the complete residue‐specific data have allowed us to draw interesting parallels between membrane binding and microtubule binding, including the difference in binding stability between repeats. This binding mimicry has far‐reaching consequences, as we further discuss below.
IDPs typically bind multiple targets, often using the same region. How a single region of an IDP adapts to multiple targets is an essential open question. Here we have characterized one adaptation mechanism, in the form of partial mimicry, between tau‐membrane binding and tau‐microtubule binding. This mimicry is not as one might naively expect, where basic residues in the tau MTBRs would attach to negatively charged surfaces presented by acidic membranes or microtubules. Rather, both charged and nonpolar residues of tau participate in target binding, but in ways different for membranes and microtubules. Both lipid membranes and microtubules present environments that are highly heterogeneous, but in different manners. In acidic membranes, the headgroups and acyl chains separate into charged and hydrophobic layers. The formation of an amphipathic helix allows the nonpolar sidechains (e.g., Val) to insert into the acyl chains and the basic sidechains (e.g., Lys) to project into the headgroup region. Microtubules, on the other hand, feature charged and nonpolar surface patches right next to each other. On the microtubule surface, tau MTBRs stretch into a linear conformation, with nonpolar sidechains including the conserved Val fit into hydrophobic pockets whereas adjacent basic sidechains including the conserved Lys form salt bridges with acidic residues of tubulins.
The membrane binding of tau MTBRs and its partial mimicry of microtubule binding have significant implications for the functions and disease linkage of tau. A substantial portion of dephosphorylated tau is associated with membranes (Dixit et al., 2008). Hyperphosphorylation results in the release of tau from membranes, thereby promoting the formation of neurofibrillary tangles from cytosolic tau (Pooler & Hanger, 2010). Membrane association of tau may occur indirectly by binding to membrane‐bound proteins such as annexins (Gauthier‐Kemper et al., 2018) and Fyn (Lee et al., 1998), or directly through the MTBRs as characterized here and previously (Georgieva et al., 2014; Kunze et al., 2012; Figure 6). Membrane‐associated tau may anchor microtubules to membranes (Gauthier‐Kemper et al., 2018) and may also form small oligomers to initiate fibril formation as observed for α‐synuclein (Antonschmidt et al., 2021) or concentrate to form “hot spots” at the membrane surface (Padmanabhan et al., 2022). When a microtubule comes into contact with tau hot spots at the membrane surface, multiple copies of tau may transfer onto the microtubule surface. The partial mimicry between tau binding to the two target surfaces may facilitate both the membrane anchoring of microtubules by tau and the transfer of tau from membranes to microtubules. MD simulations of multiple copies of tau constructs in solution (Chen et al., 2019) and on membrane (Nguyen & Derreumaux, 2022) or microtubule surfaces will be fruitful future directions.
4. COMPUTATIONAL METHODS
4.1. Molecular dynamics simulations
MD simulations of membrane‐bound tau K19 were ran using AMBER18 (Case et al., 2018) with the ff14SB (Maier et al., 2015) force field for protein, lipid17 (Gould et al., 2019) for membrane, and TIP4P‐D (Piana et al., 2015) for water, as in our previous studies (Dey & Zhou, 2022; Hicks et al., 2021; Smrt et al., 2022). To construct an initial model for tau K19, the helical segments were built using pymol (https://pymol.org/) while the linkers and disordered tails were generated using TRADES (Feldman & Hogue, 2002). The initial depth of the helices was adjusted to have complete burial of the nonpolar sidechains in the hydrophobic region of a membrane. CHARMM‐GUI (Jo et al., 2008) was then used to insert into a membrane without changing the depth and solvate with water and 100 mM NaCl. The lipid composition was POPC/POPS at a 1:1 ratio, chosen to match with the experimental condition of Georgieva et al. (2014). The number of lipids was 330 in the upper leaflet; 25 extra POPC lipids were added to the lower leaflet in order to maintain parity in surface area between the 2 leaflets. The dimensions of the simulation box were 151 Å × 151 Å × 117 Å; the total number of atoms was 303,970.
The system was first prepared in short MD simulations in NAMD. Following 10,000 steps of steepest‐decent energy minimization, 675 ps of equilibration was split across six separate steps, where restraints were successively reduced to 0 as the simulation shifted from constant NVT to constant NPT (298 K and 1 atm pressure) and the timestep changed from 1 to 2 fs. The system was then split into four replicates with different random seeds, each running in AMBER at constant NPT with a timestep of 2 fs on GPUs using pmemd.cuda (Salomon‐Ferrer et al., 2013). Two of the replicates ran for 600 ns and the other two continued to 1300 ns. The SHAKE algorithm (Ryckaert et al., 1977) was used to restrain bond lengths involving hydrogens. The particle mesh Ewald method (Essmann et al., 1995) was used to treat long‐range electrostatic interactions. The cutoff for nonbonded interactions was 12.0 Å. Temperature was regulated by the Langevin thermostat (Pastor et al., 1988) with a 1.0 ps−1 dampening constant and pressure was regulated by the Berendsen barostat (Berendsen et al., 1984) with a coupling constant of 0.5 ps. Frames were saved every 20 ps for analysis, unless otherwise indicated.
4.2. Data analysis
Secondary structures were calculated using the DSSP algorithm implemented in CPPTRAJ with the secstruct command (Roe & Cheatham, 2013). Distance distributions emulating DEER data were calculated using the DEER‐PREdict software (Tesei et al., 2021), averaged over frames saved every 1 ns. Z tip distances were calculated by subtracting the mean Z coordinate of the lipid phosphorous atoms in the upper leaflet in a single frame from the Z coordinate of the sidechain heavy tip atom of each residue. For membrane contact probabilities, a contact was defined when a heavy atom of the protein residue came within 3.5 Å of any heavy atom of the membrane. The fraction of frames where at least one membrane contact was formed with a given residue was calculated as the membrane contact probability of that residue. The microtubule contact number of each tau residue was calculated from the cryo‐EM structure (Protein Data Bank entry 7PQC) using a 5 Å cutoff between heavy atoms, and then normalized by the number of heavy atoms in that tau residue.
AUTHOR CONTRIBUTIONS
Matthew MacAinsh: Data curation (lead); formal analysis (lead); investigation (equal); methodology (lead); writing – original draft (equal). Huan‐Xiang Zhou: Conceptualization (lead); funding acquisition (lead); investigation (equal); project administration (lead); supervision (lead); writing – original draft (equal); writing – review and editing (lead).
CONFLICT OF INTEREST
The authors declare no competing financial interests.
Supporting information
ACKNOWLEDGMENT
This work was supported by National Institutes of Health Grant R35 GM118091.
MacAinsh M, Zhou H‐X. Partial mimicry of the microtubule binding of tau by its membrane binding. Protein Science. 2023;32(3):e4581. 10.1002/pro.4581
Review Editor: Jean Baum
Funding information National Institute of General Medical Sciences, Grant/Award Number: GM118091; National Institutes of Health
DATA AVAILABILITY STATEMENT
The data that supports the findings of this study are presented in the figures. Raw data from molecular dynamics simulations are available from the corresponding author upon reasonable request.
REFERENCES
- Ambadipudi S, Biernat J, Riedel D, Mandelkow E, Zweckstetter M. Liquid–liquid phase separation of the microtubule‐binding repeats of the Alzheimer‐related protein tau. Nat Commun. 2017;8:275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Antonschmidt L, Dervisoglu R, Sant V, Tekwani Movellan K, Mey I, Riedel D, et al. Insights into the molecular mechanism of amyloid filament formation: segmental folding of α‐synuclein on lipid membranes. Sci Adv. 2021;7:eabg2174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baker NA, Sept D, Joseph S, Holst MJ, McCammon JA. Electrostatics of nanosystems: application to microtubules and the ribosome. Proc Natl Acad Sci USA. 2001;98:10037–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berendsen HJC, Postma JPM, Vangunsteren WF, Dinola A, Haak JR. Molecular‐dynamics with coupling to an external bath. J Chem Phys. 1984;81:3684–90. [Google Scholar]
- Brandt R, Leger J, Lee G. Interaction of tau with the neural plasma membrane mediated by tau's amino‐terminal projection domain. J Cell Biol. 1995;131:1327–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brotzakis ZF, Lindstedt PR, Taylor RJ, Rinauro DJ, Gallagher NCT, Bernardes GJL, et al. A structural ensemble of a tau‐microtubule complex reveals regulatory tau phosphorylation and acetylation mechanisms. ACS Cent Sci. 2021;7:1986–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Case DA, Ben‐Shalom IY, Brozell SR, Cerutti DS, Cheatham TE, Cruzeiro VWD, et al. AMBER 2018. San Francisco: University of California; 2018. [Google Scholar]
- Chen D, Drombosky KW, Hou Z, Sari L, Kashmer OM, Ryder BD, et al. Tau local structure shields an amyloid‐forming motif and controls aggregation propensity. Nat Commun. 2019;10:2493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cleveland DW, Hwo SY, Kirschner MW. Physical and chemical properties of purified tau factor and the role of tau in microtubule assembly. J Mol Biol. 1977;116:227–47. [DOI] [PubMed] [Google Scholar]
- Dey S, Zhou HX. Membrane tethering of SepF, a membrane anchor for the mycobacterium tuberculosis Z‐ring. J Mol Biol. 2022;434:167817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dixit R, Ross JL, Goldman YE, Holzbaur EL. Differential regulation of dynein and kinesin motor proteins by tau. Science. 2008;319:1086–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Drubin DG, Kirschner MW. Tau protein function in living cells. J Cell Biol. 1986;103:2739–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Elbaum‐Garfinkle S, Ramlall T, Rhoades E. The role of the lipid bilayer in tau aggregation. Biophys J. 2010;98:2722–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Essmann U, Perera L, Berkowitz ML, Darden T, Lee H, Pedersen LG. A smooth particle mesh Ewald method. J Chem Phys. 1995;103:8577–93. [Google Scholar]
- Feldman HJ, Hogue CWV. Probabilistic sampling of protein conformations: new hope for brute force? Proteins Struct Funct Genet. 2002;46:8–23. [PubMed] [Google Scholar]
- Gauthier‐Kemper A, Suarez Alonso M, Sundermann F, Niewidok B, Fernandez MP, Bakota L, et al. Annexins A2 and A6 interact with the extreme N terminus of tau and thereby contribute to tau's axonal localization. J Biol Chem. 2018;293:8065–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Georgieva ER, Xiao S, Borbat PP, Freed JH, Eliezer D. Tau binds to lipid membrane surfaces via short amphipathic helices located in its microtubule‐binding repeats. Biophys J. 2014;107:1441–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goedert M, Spillantini MG, Jakes R, Rutherford D, Crowther RA. Multiple isoforms of human microtubule‐associated protein tau: sequences and localization in neurofibrillary tangles of Alzheimer's disease. Neuron. 1989;3:519–26. [DOI] [PubMed] [Google Scholar]
- Gould IR, Skjevik AA, Dickson CJ, Madej BD, Walker RC. Lipid17: a comprehensive AMBER force field for the simulation of zwitterionic and anionic lipids; 2019. [Google Scholar]
- Hicks A, Escobar CA, Cross TA, Zhou HX. Fuzzy association of an intrinsically disordered protein with acidic membranes. JACS Au. 2021;1:66–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jo S, Kim T, Iyer VG, Im W. CHARMM‐GUI: a web‐based graphical user interface for CHARMM. J Comput Chem. 2008;29:1859–65. [DOI] [PubMed] [Google Scholar]
- Kampers T, Friedhoff P, Biernat J, Mandelkow EM, Mandelkow E. RNA stimulates aggregation of microtubule‐associated protein tau into Alzheimer‐like paired helical filaments. FEBS Lett. 1996;399:344–9. [DOI] [PubMed] [Google Scholar]
- Siahaan V, Tan R, Humhalova T, Libusova L, Lacey SE, Tan T, et al. Microtubule lattice spacing governs cohesive envelope formation of tau family proteins. Nat Chem Biol. 2022;18:1224–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wegmann S, Eftekharzadeh B, Tepper K, Zoltowska KM, Bennett RE, Dujardin S, et al. Tau protein liquid‐liquid phase separation can initiate tau aggregation. EMBO J. 2018;37:1–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee G, Newman ST, Gard DL, Band H, Panchamoorthy G. Tau interacts with src‐family non‐receptor tyrosine kinases. J Cell Sci. 1998;111(Pt 21):3167–77. [DOI] [PubMed] [Google Scholar]
- Pooler AM, Usardi A, Evans CJ, Philpott KL, Noble W, Hanger DP. Dynamic association of tau with neuronal membranes is regulated by phosphorylation. Neurobiol Aging. 2012;33(431):e427–38. [DOI] [PubMed] [Google Scholar]
- Kunze G, Barre P, Scheidt HA, Thomas L, Eliezer D, Huster D. Binding of the three‐repeat domain of tau to phospholipid membranes induces an aggregated‐like state of the protein. Biochim Biophys Acta. 2012;1818:2302–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei Y, Qu MH, Wang XS, Chen L, Wang DL, Liu Y, et al. Binding to the minor groove of the double‐strand, tau protein prevents DNA from damage by peroxidation. PLoS One. 2008;3:e2600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Majewski J, Jones EM, Vander Zanden CM, Biernat J, Mandelkow E, Chi EY. Lipid membrane templated misfolding and self‐assembly of intrinsically disordered tau protein. Sci Rep. 2020;10:13324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Padmanabhan P, Kneynsberg A, Cruz E, Amor R, Sibarita JB, Gotz J. Single‐molecule imaging reveals tau trapping at nanometer‐sized dynamic hot spots near the plasma membrane that persists after microtubule perturbation and cholesterol depletion. EMBO J. 2022;41:e111265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sallaberry CA, Voss BJ, Majewski J, Biernat J, Mandelkow E, Chi EY, et al. Tau and membranes: interactions that promote folding and condensation. Front Cell Dev Biol. 2021;9:725241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smrt ST, Escobar CA, Dey S, Cross TA, Zhou HX. An Arg/Ala‐rich helix in the N‐terminal region of M. Tuberculosis FtsQ anchors FtsZ to membranes. Biorxiv. 2022. 10.1101/2022.1109.1102.506397v506392 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen PH, Derreumaux P. Molecular dynamics simulations of the tau amyloid fibril core dimer at the surface of a lipid bilayer model: I. In Alzheimer's disease. J Phys Chem B. 2022;126:4849–56. [DOI] [PubMed] [Google Scholar]
- Nguyen PH, Ramamoorthy A, Sahoo BR, Zheng J, Faller P, Straub JE, et al. Amyloid oligomers: a joint experimental/computational perspective on Alzheimer's disease, Parkinson's disease, type II diabetes, and amyotrophic lateral sclerosis. Chem Rev. 2021;121:2545–647. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pooler AM, Hanger DP. Functional implications of the association of tau with the plasma membrane. Biochem Soc Trans. 2010;38:1012–5. [DOI] [PubMed] [Google Scholar]
- Maier JA, Martinez C, Kasavajhala K, Wickstrom L, Hauser KE, Simmerling C. ff14SB: improving the accuracy of protein side chain and backbone parameters from ff99SB. J Chem Theory Comput. 2015;11:3696–713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Piana S, Donchev AG, Robustelli P, Shaw DE. Water dispersion interactions strongly influence simulated structural properties of disordered protein states. J Phys Chem B. 2015;119:5113–23. [DOI] [PubMed] [Google Scholar]
- Salomon‐Ferrer R, Götz AW, Poole D, Le Grand S, Walker RC. Routine microsecond molecular dynamics simulations with AMBER on GPUs. 2. Explicit solvent particle mesh Ewald. J Chem Theory Comput. 2013;9:3878–88. [DOI] [PubMed] [Google Scholar]
- Ryckaert JP, Ciccotti G, Berendsen HJC. Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n‐alkanes. J Comput Phys. 1977;23:327–41. [Google Scholar]
- Pastor RW, Brooks BR, Szabo A. An analysis of the accuracy of langevin and molecular dynamics algorithms. Mol Phys. 1988;65:1409–19. [Google Scholar]
- Roe DR, Cheatham TE. PTRAJ and CPPTRAJ: software for processing and analysis of molecular dynamics trajectory data. J Chem Theor Comput. 2013;9:3084–95. [DOI] [PubMed] [Google Scholar]
- Tesei G, Martins JM, Kunze MBA, Wang Y, Crehuet R, Lindorff‐Larsen K. DEER‐PREdict: software for efficient calculation of spin‐labeling EPR and NMR data from conformational ensembles. PLoS Comput Biol. 2021;17:e1008551. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that supports the findings of this study are presented in the figures. Raw data from molecular dynamics simulations are available from the corresponding author upon reasonable request.