Abstract
The caspase recruitment domain–containing protein 9 (CARD9)–B-cell lymphoma/leukemia 10 (Bcl10) signaling axis is activated in myeloid cells during the innate immune response to a variety of diverse pathogens. This signaling pathway requires a critical caspase recruitment domain (CARD)–CARD interaction between CARD9 and Bcl10 that promotes downstream activation of factors, including NF-κB and the mitogen-activated protein kinase (MAPK) p38. Despite these insights, CARD9 remains structurally uncharacterized, and little mechanistic understanding of its regulation exists. We unexpectedly found here that the CARD in CARD9 binds to Zn2+ with picomolar affinity—a concentration comparable with the levels of readily accessible Zn2+ in the cytosol. NMR solution structures of the CARD9–CARD in the apo and Zn2+-bound states revealed that Zn2+ has little effect on the ground-state structure of the CARD; yet the stability of the domain increased considerably upon Zn2+ binding, with a concomitant reduction in conformational flexibility. Moreover, Zn2+ binding inhibited polymerization of the CARD9–CARD into helical assemblies. Here, we also present a 20-Å resolution negative-stain EM (NS-EM) structure of these filamentous assemblies and show that they adopt a similar helical symmetry as reported previously for filaments of the Bcl10 CARD. Using both bulk assays and direct NS-EM visualization, we further show that the CARD9–CARD assemblies can directly template and thereby nucleate Bcl10 polymerization, a capacity considered critical to propagation of the CARD9–Bcl10 signaling cascade. Our findings indicate that CARD9 is a potential target of Zn2+-mediated signaling that affects Bcl10 polymerization in innate immune responses.
Keywords: nuclear magnetic resonance (NMR), metal ion-protein interaction, oligomerization, protein dynamic, cell signaling, innate immunity, crystallography, electron microscopy (EM), structural biology, Bcl10, CARD9, cell signaling;
Introduction
During fungal infection, fungus-specific carbohydrates bind the C-type lectin receptors in myeloid cells, including Dectin-1, Dectin-2, and Mincle (1–3). These receptors engage, via an intercellular immunoreceptor tyrosine-based activation motif (ITAM)4-like motif or an adaptor protein containing an ITAM-like motif, Syk kinase. Syk, in turn, phosphorylates and activates protein kinase Cδ leading to subsequent phosphorylation and activation of the scaffolding protein CARD9 (caspase recruitment domain–containing protein 9) (4, 5). Upon activation, CARD9 recruits, via its N-terminal CARD, the CARD-containing Bcl10 (B-cell lymphoma/leukemia 10) and subsequently MALT1 to form the myeloid CARD9–Bcl10–MALT1 (CBM) signalosome. Upon complex formation, the CBM signalosome initiates the downstream activation of NF-κB required to mount an antifungal immune response (4, 6). Consistent with the critical and nonredundant role of CARD9 in this pathway, individuals deficient in CARD9 are highly susceptible to chronic fungal infections (7–10). CARD9 has also been shown to contribute to other nonfungal innate immune responses, such as cytosolic DNA sensing with Rad50 (11), intracellular bacterial infections through interaction with NOD2 (12), and viral RNA detection through association with RIG-I (13). The CARD9 signaling axis is implicated in a number of inflammatory diseases, including a genetic association with susceptibility to inflammatory bowel disease (14, 15), development of autoimmune disease of the eye (16), and progression of cardiovascular disease brought on by high-fat diet–induced obesity (17). Indeed, Wang et al. (18) observed that the activation of p38 MAPK by the CARD9–Bcl10 signaling axis induces obesity-related cardiac hypertrophy (ORCH) in mice maintained on a high-fat diet. They further found that Zn2+ modulates ORCH development in this context, with Zn2+ deficiency aggravating and Zn2+ supplementation mitigating disease severity in aBcl10-dependent manner (18). These findings fit within a larger body of literature indicating that Zn2+ acts as a signaling molecule in a number of immune cell types, wherein transient increases in cytosolic Zn2+, known as Zn2+-waves, serve to activate downstream signaling pathways (19–22). In general, however, the targets of the Zn2+-wave and mechanisms by which Zn2+ impacts signaling remain poorly understood. Similarly, despite the broad importance of CARD9, CARD9 itself has remained structurally uncharacterized, and a mechanistic understanding of its regulation is lacking.
CARD9 comprises an N-terminal CARD followed by a “coiled-coil” domain of ∼450 amino acids containing multiple distinct regions predicted to have high coiled-coil propensity. The CARD is critical for CARD9's recruitment of Bcl10, and by homology to CARD9's closest paralogue, CARD11 (CARD11, caspase recruitment domain–containing protein 11; also known as CARMA1), the CARD9–CARD is thought to act in a templating manner by forming a helical assembly able to potentiate the subsequent polymerization of Bcl10 required for signal propagation (6, 23). We therefore hypothesize that CARD9 signaling may be regulated by modulating the accessibility of its CARD and/or its propensity to generate a helical template. To better understand molecular mechanisms underlying CARD9 function, we determined the NMR solution structure of the CARD9–CARD, and we found, surprisingly, that it binds to Zn2+, exhibiting a dissociation constant comparable with estimates of the “free” cytosolic Zn2+ concentration. Although the ground-state structure of the CARD9–CARD is essentially identical in the apo and Zn2+-bound states, Zn2+ binding strongly stabilizes the fold and reduces conformational “breathing” of the helices. Upon overexpression in Escherichia coli, the CARD9–CARD is also capable of forming an extensively domain-swapped dimer, with interconversion of the CARD monomer and dimer strongly inhibited by Zn2+ binding. Furthermore, Zn2+ binding inhibits formation of helical filaments by the CARD9–CARD monomer that otherwise spontaneously assembles in vitro. A 20-Å negative-stain EM (NS-EM) structure of these filaments reported here demonstrates that they adopt a similar symmetry as the Bcl10–CARD helical assembly. Finally, we show through both a bulk assay and direct NS-EM visualization that the CARD9–CARD helical assembly is capable of directly templating Bcl10 polymerization.
Results
The CARD9–CARD binds Zn2+
We purified 15N-labeled CARD9–CARD (residues 2–97) using a cleavable affinity tag and size-exclusion chromatography (see under “Experimental procedures”). A 15N HSQC NMR spectrum of the resulting monomeric CARD exhibits significant peak dispersion, suggesting that the domain adopts a well-folded structure. We determined near-complete backbone and side-chain assignments for the CARD and calculated a solution structure with a backbone RMSD of 0.7 Å (RMSD calculated for structured residues 10–97, see Table 1 for complete statistics). The CARD9–CARD adopts a canonical death-domain structure containing six antiparallel α-helices with 9 N-terminal residues remaining largely unstructured. As shown in Fig. 1A, the CARD9–CARD aligns well with the crystal structure of its closest paralogue, the human CARD11–CARD (1.9-Å backbone RMSD to PDB code 4LWD (23)), including the conserved kink in the α1 helix common among CARDs. The largest differences between the CARD9 and CARD11–CARDs are apparent in α-helices α3 and α4 and the flexible α3–α4 loop, a region with high B-factors in the CARD11–CARD structure and also comprising the largest sequence divergence between the CARDs.
Table 1.
Apo CARD | Zn2+-bound CARD | |
---|---|---|
PDB code | 6E26 | 6E25 |
BMRB code | 30492 | 30491 |
Assignments (%)a | 89 (97) | 81 (77) |
1H | 91 (97) | 90 (97) |
13C | 91 (98) | 72 (49) |
15N | 76 (96) | 75 (95) |
NOE restraints | 1509 | 1592 |
Intra-residue (i = j) | 423 | 407 |
Sequential (|i − j| = 1) | 410 | 421 |
Medium range (|i − j| <5) | 395 | 444 |
Long range (|i − j| ≥5) | 281 | 320 |
NOE constraints per restrained residueb | 15.9 | 16.8 |
Hydrogen bond constraints | 66 | 60 |
Long range (|i − j| ≥5) | 0 | 0 |
Dihedral angle constraints | 140 | 140 |
Total no. of restricting constraints | 1715 | 1792 |
Restricting constraints per restrained residueb | 18.1 | 18.9 |
Long range (|i − j| ≥5) | 3.0 | 3.4 |
Total structures computed | 100 | 100 |
No. of structures included | 20 | 20 |
Distance violations per structure | ||
0.1–0.2 Å | 9.0 | 6.4 |
0.2–0.5 Å | 2.0 | 1.25 |
>0.5 Å | 0 | 0 |
RMS of distance violation/constraint (Å) | 0.02 | 0.02 |
Maximum distance violation (Å) | 0.47 | 0.46 |
Dihedral angle violations per structure | ||
1–10° | 4.1 | 2.55 |
>10° | 0 | 0 |
RMS of dihedral angle violation per constraint (°) | 0.52 | 0.33 |
Maximum dihedral angle violation (°) | 7.1 | 4.6 |
RMSDc | ||
Backbone | 0.7 (1.8) | 0.5 (1.5) |
Heavy atoms | 1.2 (2.2) | 1.0 (1.9) |
Ramachandrand | ||
Most favored (%) | 93.6 | 94.9 |
Additionally allowed (%) | 6.4 | 5.0 |
Generously allowed (%) | 0 | 0.1 |
Disallowed | 0 | 0 |
a Total assignment completeness, with backbone completeness reported in parentheses.
b Residues 3–97 contain conformational restraining constraints.
c Residues 10–97 reported, with all-residue RMSDs reported in parentheses.
d Residues 10–97, calculated with Procheck.
Given the role of Zn2+ in modulating ORCH and the central role of CARD9 in this pathology (18), we tested whether the CARD9–CARD itself interacts with Zn2+. The 15N HSQC NMR spectrum of the CARD is significantly perturbed upon addition of 1:0.5 or 1:1 concentrations of ZnCl2, with all shifted peaks in the slow-exchange limit, suggesting that the CARD binds Zn2+ with sub-micromolar affinity (Fig. 1B). Further increasing the Zn2+ concentration above a 1:1 ratio minimally affects the spectrum, indicating that the CARD9–CARD contains a single high-affinity metal-binding site (Fig. S1). To determine whether this binding is specific for Zn2+, we incubated the CARD9–CARD with other divalent metal ions. No chemical shift changes are observed upon addition of 1:10 molar concentrations of either CaCl2 or MgCl2, indicating that the CARD is unable to bind Ca2+ or Mg2+ (Fig. 1C). A stoichiometric concentration of NiCl2 likewise induces no chemical shift changes in the CARD9–CARD. However, Mn2+ and Cu2+ do interact with the CARD9–CARD at stoichiometric concentrations, with Cu2+ inducing chemical shift changes and the paramagnetic Mn2+ inducing enhanced relaxation of a number of peaks (Fig. 1C). Upon simultaneous addition of Zn2+ and Mn2+ to the CARD9–CARD in a 1:1:1 ratio, the peak signature indicates that all of the CARD is Zn2+-bound, with remaining peak disappearances attributable to secondary Mn2+ interactions outside the Zn2+-binding site (Fig. 1C, see arrows indicating peaks unique to the Zn2+-bound CARD9–CARD). Simultaneous addition of stoichiometric concentrations of Cu2+ and Zn2+ results in populations of the CARD9–CARD bound to each of the two metals, shown by the presence of peaks corresponding to both the Cu2+-bound and Zn2+-bound states. The Zn2+-bound peaks are ∼50% less intense than when Zn2+ is added alone (Fig. 1C, arrowheads), indicating approximately equal affinity of the CARD for Zn2+ and Cu2+. These findings are consistent with the relative affinities expected by the Irving–Williams series (24). The concentration of labile cytosolic copper has proven difficult to measure with high accuracy, although estimates suggest that it is in the femtomolar range or lower (25, 26). Because the CARD9–CARD dissociation constant for Zn2+ (and therefore for Cu2+) is several orders of magnitude larger than the typical cytosolic Cu2+ concentration, but comparable with estimates of the “free” cytosolic Zn2+ concentration (see below), we suggest that Zn2+ is likely to be a physiological ligand for CARD9, but depending on the cellular context, Cu2+ binding could play a role as well. We thus proceeded to characterize Zn2+ binding to the CARD9–CARD.
Cysteine and histidine residues typically mediate Zn2+ coordination, with additional binding often provided by glutamate and aspartate side chains. To determine which residues in the CARD9–CARD are responsible for Zn2+ coordination, we generated alanine substitutions at either of the two cysteines (CARDC10A or CARDC37A) or the sole histidine (CARDH73A), the positions of which are depicted in Fig. 1D. Although CARDC37A continues to bind Zn2+ in the slow-exchange limit, both CARDC10A and CARDH73A shift binding to the intermediate-to-fast exchange regime, indicating a significant reduction in affinity and demonstrating that Cys-10 and His-73 are involved in coordinating Zn2+ (Fig. 1E). The only glutamates or aspartates potentially in position to provide additional Zn2+ coordination are a stretch of acidic residues (Glu-5, Asp-7, Asp-8, and Glu-9) on the unstructured N-terminal region of the CARD9–CARD. Upon mutation of Glu-5 or Glu-9 to Gln, we found no substantial differences in the Zn2+-bound spectrum, indicating no contribution to coordination. In contrast, we found that the Zn2+-bound spectrum of CARDD7N differs substantially from CARDWT, despite the binding remaining in the slow-exchange regime (Fig. S2). These data suggest that Asp-7 is less critical than Cys-10 or His-73 for Zn2+ affinity but that coordination by Asp-7 results in conformational changes to the CARD. CARDD8N exhibits subtler Zn2+-bound 15N HSQC differences as compared with CARDWT, comprising reduced line-broadening of the binding-site–proximal amide peaks Cys-10, Trp-11 (backbone and side chain), Ser-12, and Gln-69 (side chain), suggesting a role for Asp-8 in coordination as well (Fig. S2).
The CARD9–CARD exhibits a picomolar dissociation constant for Zn2+
Zn2+ binding to the CARD9–CARD is sufficiently tight to preclude direct affinity determination by NMR titration. We instead utilized competition against the fluorescent Zn2+-binding dye mag-fura-2, which has a dissociation constant of 20 nm for Zn2+ (27). As shown in Fig. 2A, the CARD9–CARD competes effectively against mag-fura-2, although less effectively than EDTA (KD of ∼10−16 for Zn2+). Fitting these data to the exact competitive binding equation described by Wang (28), CARDWT binds Zn2+ with a dissociation constant of 0.73 nm (95% confidence interval (CI) 0.45–1.07 nm). Consistent with the NMR data, CARDC10A and CARDH73A are unable to compete with mag-fura-2, whereas CARDC37A binds with comparable affinity to CARDWT. The mutations D7N and D8N each decrease binding affinity ∼2–3–fold, whereas the double mutant CARDD7N/D8N exhibits an ∼25-fold decrease, suggesting that the two acidic residues may trade-off responsibility for coordinating the Zn2+ ion (Fig. 2C). Because the measured picomolar affinity of the CARD9–CARD is approaching the lower limit accessible in competition with the 20 nm mag-fura-2, we additionally assessed affinity among the tightly binding constructs in competition with the more tightly binding indo-1 dye (KD for Zn2+ of 0.16 nm (29)). As shown in Fig. 2, B and C, affinities as measured in competition with indo-1 agree with those determined with mag-fura-2, confirming that the CARD9–CARD binds Zn2+ with a picomolar dissociation constant, comparable with estimates of the free cytosolic Zn2+ concentration.
Zn2+ binding does not significantly alter the CARD9–CARD structure
Given the high affinity and specificity that the CARD9–CARD exhibits for Zn2+, we were curious as to the impact of Zn2+ binding on the CARD structure. We thus determined near-complete backbone and side-chain chemical shift assignments for the Zn2+-bound CARD9–CARD and calculated the NMR solution structure to a backbone RMSD value of 0.5 Å (RMSD calculated for structured residues 10–97, see Table 1 for complete statistics).
In the Zn2+-bound structure, the Zn2+ ion forms a bridge between Cys-10 at the beginning of α1 and His-73 at the beginning of α5 (Fig. 3A). Because of the ambiguity in coordination by Asp-7 and Asp-8, we only imposed constraints to maintain coordination by Cys-10 and His-73 during structure calculations. Although full quantum mechanical calculations were not performed, Asp-7 interacts with the Zn2+ ion with one or both carboxyl oxygens in all of the 20 lowest energy structures, consistent with its prominent role in coordination (representative structures shown in Fig. 3A). The apo and Zn2+-bound structures are remarkably similar, with a backbone RMSD (residues 10–97) of 0.95 Å, which is only slightly higher than the RMSD of the apo state itself (Fig. 3B). We further manually compared the NOESY spectra of the CARD in the apo and Zn2+-bound states in search of more subtle differences in the structures. Although the specific NOE cross-peaks used in the two calculations vary somewhat due to differential peak overlap and line-broadening between the apo and Zn2+-bound states, we were unable to conclusively identify any instances in which an NOE cross-peak was present in one state and not the other. We therefore conclude that Zn2+ binding does not significantly alter the ground-state solution structure of the CARD9–CARD.
Zn2+ binding stabilizes the CARD9–CARD and inhibits α-helical unraveling
Although binding of a Zn2+ ion to the CARD9–CARD does not substantially alter its ground-state structure, we were curious as to the potential impact of Zn2+ binding on the CARD stability and conformational dynamics. We monitored denaturation of the CARD9–CARD monomer via differential scanning fluorimetry and found that addition of Zn2+ increases the thermostability of the CARD by nearly 14 °C, reflecting a substantial stabilization of the domain upon Zn2+ binding (Fig. 4A).
To monitor conformational stability, we performed an NMR-based hydrogen-deuterium exchange (HDX) experiment to monitor the solvent accessibility of backbone amidesin the apo and Zn2+-bound states. Aqueous 15N-labeled CARD9–CARD was lyophilized and then resuspended in 99.99% D2O, followed by a collection of a series of SOFAST-HMQC experiments, which allow for rapid data collection. Approximately 35% of residues remain at least partially protonated by the first 1.5-min time point. For all residues that we were able to monitor, the HDX lifetime was significantly increased in the context of Zn2+ binding, with half-lives increasing by 1.5–14–fold over the apo state (Fig. 4, B and D). The residues most strongly protected by Zn2+ binding map predominantly to helices α4 and α5, which lie on either side of His-73 (Fig. 4C). These data demonstrate that Zn2+ binding locks the CARD in a more stable compact conformation, with less conformational breathing in the helices than in the apo state.
The CARD9–CARD can adopt a domain-swapped dimeric structure
Upon recombinant overexpression of the CARD9–CARD in E. coli and subsequent purification, two distinct species can be isolated: the monomeric CARD for which NMR structures are shown in Fig. 4, and a kinetically stable dimeric state that accounts for ∼20% of the purified protein at the final gel filtration step (Fig. 5A). We determined the 1.36-Å resolution X-ray crystal structure of this CARD9–CARD dimer (see Table 2 for complete statistics) using molecular replacement with the CARD11–CARD structure (PDB code 4LWD). The dimer is composed of two six-helix bundles, each of which aligns well to the CARD9–CARD monomer (Fig. S3A). Each bundle, however, contains three helices from each of the two polypeptide chains, forming a domain-swapped dimer with a short linker crossing over between helices α3 and α4 (Figs. 5B and Fig. S3B).
Table 2.
Apo CARD dimer | Zn2+-bound CARD dimer | |
---|---|---|
PDB code | 6E28 | 6E27 |
Wavelength | 1.000 | 1.000 |
Space group | P 1 21 1 | P 1 21 1 |
Cell dimensions | ||
a, b, c (Å) | 43.98 37.43 56.88 | 44.01 37.46 56.96 |
α, β, γ (°) | 90 101.47 90 | 90 101.79 90 |
Resolution range (Å) | 37.94–1.36 (1.41–1.36) | 43.08–1.81 (1.88–1.81) |
Rmerge (%) | 3.905 (84.11) | 7.536 (120) |
I/σI | 21.67 (1.71) | 14.06 (1.37) |
CC1/2 | 0.999 (0.715) | 0.999 (0.540) |
Completeness (%) | 95.72 (73.23) | 98.24 (95.65) |
Redundancy | 6.3 (5.2) | 6.6 (6.6) |
Resolution (Å) | 1.36 | 1.81 |
Unique reflections | 37,560 (2849) | 16,495 (1582) |
Rwork/Rfree (%) | 0.1797 / 0.1937 | 0.2066 / 0.2577 |
Non-hydrogen atoms | ||
Protein | 1524 | 1498 |
Ligands | 0 | 1 |
Water | 153 | 89 |
Average B-factor (Å2) | ||
Protein | 36.48 | 44.78 |
Ion | 63.81 | |
Water | 41.34 | 45.46 |
RMSD | ||
Bond length (A) | 0.009 | 0.011 |
Bond angles (°) | 1.01 | 1.05 |
Ramachandran | ||
Favored (%) | 99.45 | 98.89 |
Allowed (%) | 0.55 | 1.11 |
Outliers (%) | 0 | 0 |
The Zn2+-binding site in the CARD9–CARD is distal from the strand swap between α3 and α4, such that the domain swap would not be expected to alter Zn2+ binding. Consistent with this expectation, NMR chemical shift changes upon addition of Zn2+ to the dimer are nearly identical to those seen for the monomeric state. We thus soaked Zn2+ into domain-swapped dimer crystals, identified a single condition where Zn2+ occupies one of the two binding sites, and solved the crystal structure at a resolution of 1.81 Å (see Table 2 for complete statistics). The Zn2+ ion binds where expected based on our NMR structure of the Zn2+-bound monomer, with clear electron density demonstrating its coordination by both Cys-10 and His-73 (Fig. 5C and Fig. S3B). Additional electron density is present, which suggests Zn2+ coordination by a third residue in the N-terminal tail; however, the residues N-terminal of Asp-9 are too poorly resolved to conclusively identify which (likely Asp-7 or Asp-8) is participating in the coordination, likely reflecting conformational heterogeneity in the coordination throughout the crystal. In agreement with the minimal ground-state differences observed between the apo and Zn2+-bound monomeric structures, no notable structural changes are observed in the domain-swapped dimer upon Zn2+ binding (Fig. 5C).
The domain-swapped dimer exhibits a similar 15N HSQC spectrum as the monomer, but with distinct differences, especially for those residues near the strand swap. By monitoring a single amide peak (Ser-28, Fig. 5D) with resolvable monomeric and dimeric chemical shifts, we were able to track the kinetics of interconversion of the two states. At 25 °C, we found that the dimer and monomer interconvert with a half-life of 4.1 h (95% CI 3.8–5.4 h) in the absence of Zn2+. This interconversion is dramatically slowed, however, in the presence of Zn2+, where the dimer exhibits a half-life of 179 h (95% CI 155–206 h), representing a nearly 50-fold decrease in interconversion rate (Fig. 5E). There additionally appears to be a shift in the monomer–dimer equilibrium, with ∼3-fold more dimer present at equilibrium in the presence of Zn2+ relative to the apo state. These findings are consistent with the HDX data, suggesting that the presence of Zn2+ locks the CARD9–CARD in a more stable conformation, preventing helical unraveling that must be required for the monomeric and domain-swapped dimeric conformations to interconvert.
We observed that the homologous CARD11–CARD (50% identity to the CARD9–CARD) is also capable of adopting a relatively long-lived dimeric conformation upon overexpression in E. coli, with an in vitro half-life of 34 min (95% CI 28–48 min) at 25 °C (Fig. S4, A–C). We were unable to conclusively demonstrate that the CARD11–CARD adopts a homologous domain-swapped dimeric structure as the CARD9–CARD, but the long half-life and a comparable extent of chemical shift changes intimate a similar structure. Upon addition of stoichiometric ZnCl2 to the 15N-labeled CARD11–CARD monomer, we observed no significant NMR chemical shift perturbations, indicating that Zn2+ binding is not conserved within the protein family (Fig. S4D).
The CARD9–CARD forms in vitro filaments in a Zn2+-regulated manner
In the absence of Zn2+, we found that upon concentrating monomeric CARD9–CARD above ∼150 μm, the solution became cloudy. We visualized this opaque solution by NS-EM and observed that the CARD9–CARD monomer assembles into long filaments with a diameter of ∼90 Å (Fig. 6A). To monitor the effect of Zn2+ binding on these filaments, we purified the CARD9–CARD monomer bound to a stoichiometric amount of Zn2+ by adding a saturating concentration of ZnCl2 prior to a final gel-filtration column. In contrast to the apo CARD, we found that at 200 μm the Zn2+-bound CARD remained clear by eye and filament-free as monitored by NS-EM (Fig. 6B). Addition of EDTA to chelate the Zn2+ away from the CARDs leads to formation of filaments within ∼10 min at 25 °C. We monitored filament formation though UV absorbance at 350 nm and found that they form readily at 200 and 150 μm, but minimally at 100 μm (Fig. 6C). Doubling the salt concentration to 300 mm also effectively blocks CARD9–CARD polymerization at these protein concentrations, a property that permitted NMR data collection and structure determination of the apo CARD9–CARD monomer described above (Fig. 1A). These assemblies are readily reversible upon re-binding of Zn2+, as addition of Zn2+ stoichiometrically equal to the EDTA concentration induces disassembly within ∼5 min. Unlike the monomeric CARD9–CARD, the domain-swapped CARD9–CARD dimer solution remains clear at concentrations of >2 mm, irrespective of the presence of Zn2+, indicating that the dimeric state of the CARD is unable to form filaments.
We found that Zn2+ binding inhibits filament assembly of the CARD9–CARD monomer but does not block it entirely. Upon concentrating the Zn2+-bound CARD9–CARD solution to ∼800 μm, it also becomes cloudy, and filaments can be observed by NS-EM (Fig. S5A). These filaments are ∼180 Å in diameter and appear to be tandem assemblies of two filaments, as they often end ∼90 Å wide, off-center “tails.” After addition of Zn2+ to the single-width filaments induced by Zn2+ depletion (as depicted in Fig. 6, A and C), we found that all single-width filaments had disassembled when visualized by NS-EM, whereas a small population (undetectable by UV absorbance, Fig. 6C) of tandem filaments had formed, presumably from a subset of filaments that had been able to bind Zn2+ and adopt a stabilized tandem conformation prior to disassembly (Fig. S5A). In the context of the full CARD9 protein, the coiled-coil domain would necessarily protrude from any helical CARD assembly, likely blocking side-mediated interactions of the filaments. We therefore anticipate that these observed tandem CARD9–CARD filaments are likely an in vitro artifact. Nonetheless, the vast majority of filaments rapidly disassemble in the presence of Zn2+, demonstrating that Zn2+ binding regulates the stability of CARD9–CARD helical assemblies.
CARD9–CARD filaments comprise a similar helical assembly as Bcl10 and are able to template Bcl10 nucleation
Because CARD9 is thought to propagate signaling via nucleation of Bcl10 helical assemblies, we wondered whether these in vitro filaments are representative of the helical template that seeds Bcl10 polymerization. To determine whether the filaments adopt a conformation consistent with this nucleating capacity, we determined an ∼20-Å resolution NS-EM structure of the CARD9–CARD filaments (Fig. 6D, left). The CARD9–CARD filaments are 90 Å in diameter and form a hollow helical assembly with a 5-Å rise and 102° rotation, which are nearly identical to the 5.0-Å rise and 100.8° rotation determinedpreviously for the Bcl10–CARD helical assembly (30). Direct comparison of low-resolution NS-EM structures of the CARD9–CARD and Bcl10–CARD assemblies (Fig. 6D, right) (EMD-5729 (23)) demonstrates that although the slight differences in helical symmetry lead to discernable differences over several turns of the helix, the two CARDs adopt highly similar filamentous structures. Although the Bcl10 CARD contains an extended C-terminal helix that enables unambiguous fitting of the CARD monomers into the filament structure, the CARD9–CARD contains no such large asymmetry, preventing us from independently placing our CARD monomeric structure conclusively into the EM density. However, given the similarity of the helical symmetry between the assemblies, we predict that a higher resolution CARD9–CARD structure would reveal an orientation comparable with the Bcl10–CARD filament. The CARD9–CARD filaments are thus consistent in structure with what we would expect in a templating assembly.
To directly monitor the capacity for the CARD9–CARD filaments to nucleate Bcl10, we adapted a fluorescence polarization (FP)-based Bcl10 nucleation assay described by Qiao et al. (23). Briefly, a Bcl10 construct was generated linked N-terminally to MBP via a TEV protease-cleavable linker; this MBP tag was shown to block in vitro Bcl10 polymerization, which otherwise occurs rapidly for either the full-length Bcl10 or the Bcl10 CARD alone. Bcl10 was also sparsely labeled with Alexa Fluor 488 dye prior to a final gel-filtration column. Bcl10 polymerization is induced by addition of TEV protease, which removes >50% of the MBP in under 2 min and nearly all MBP within 10 min, irrespective of the presence of CARD9–CARD (Fig. S5B). Subsequent Bcl10 polymerization is then monitored by the change in FP corresponding to the increased molecular weight of the filament.
As shown in Fig. 6E, addition of CARD9–CARD filaments to MBP–Bcl10 at a 5:1 molar ratio accelerates the formation of Bcl10 filaments relative to Bcl10 alone, although the addition of monomeric CARD9–CARD slows Bcl10 polymerization significantly, presumably by competing with Bcl10 homotypic binding sites. We additionally performed a replicate of the experiment utilizing an independent preparation of the CARD9–CARD filaments and purification of MBP–Bcl10. As shown in Fig. S5C, we observed nearly identical results with an identical replicate (2 μm MBP–Bcl10) and additionally found comparable CARD9–CARD-induced acceleration utilizing a lower concentration of 1 μm MBP–Bcl10.
The capacity for the CARD9–CARD filaments to accelerate bulk Bcl10 polymerization could stem either from direct CARD–CARD templating wherein the Bcl10–CARD helical assembly extends continuously from the CARD9–CARD assembly or from indirect effects, e.g. increasing local Bcl10 concentration. To distinguish these possibilities, we visualized CARD9–CARD filament-nucleated Bcl10 filaments shortly (2 min) after addition of TEV protease by NS-EM. Because Bcl10 contains a C-terminal Ser/Thr-rich domain in addition to its CARD, its filaments are appreciably wider than the CARD9–CARD filaments (Fig. 6, F and G). As shown in Fig. 6H for the nucleated sample, we were able to readily identify continuous filaments comprising regions of both CARD9–CARD and Bcl10, demonstrating direct CARD9–CARD-templated nucleation of the Bcl10 helical assembly. We were unable to find any instance of more than a single CARD9–Bcl10 transition within a given filament, suggesting that nucleation, like Bcl10 filament extension (30), is unidirectional.
Discussion
Although total eukaryotic cellular Zn2+ concentrations are typically hundreds of micromolar, the vast majority of it is sequestered by tight interactions with proteins (31). Indeed, ∼10% of the human proteome has been estimated to bind Zn2+ in structural, catalytic, or regulatory capacities (32). Considerable effort has been made to address the challenging question of what concentration of free Zn2+ is readily available in the cytosol of eukaryotic cells, with estimates ranging from 5 pm to 1.67 nm (33, 34); however, over diverse cell types and detection methods, most studies have measured concentrations in the range of 0.1–1 nm (35–40). Structural binding sites (e.g. zinc finger domains) typically bind Zn2+ with dissociation constants much lower than the free or readily available cytosolic Zn2+ concentration, and therefore, they remain saturated under all conditions. In contrast, regulatory binding sites typically bind with dissociation constants comparable with the picomolar cytosolic Zn2+ concentration, such that fluctuations in local Zn2+ concentration can modulate function via changes to the Zn2+-bound status of a given protein (31).
The immune system modulates Zn2+ concentrations from the organismal to the subcellular levels over time scales of seconds to hours in response to diverse stimuli (21, 22, 41). Within immune cells, several stimuli have been shown to induce a Zn2+-wave wherein cellular stores of Zn2+ are released on the order of minutes after signal initiation, acting as a second messenger; these include stimulation of IgE in mast cells that activate MAPK, extracellular signal-regulated kinase (ERK), and c-Jun N-terminal kinase (JNK) signaling (20) and activation of monocytes by a range of stimuli, including lipopolysaccharide, inducing downstream NF-κB and MAPK signaling (19). Generally, the mechanism of Zn2+ release and the targets of increased cytosolic Zn2+ remain unknown. Specific to CARD9 signaling, Wang et al. (18) demonstrated that Zn2+ deficiency exacerbates cardiac hypertrophy in response to diet-induced obesity and that the onset of disease and an observed Zn2+-mediated rescue depend on the activation of p38 MAPK by the CARD9–Bcl10 signaling axis.
Here, we have demonstrated that the CARD9–CARD specifically binds to Zn2+ with picomolar affinity, akin to proteins that utilize Zn2+ in a regulatory role; the in vitro affinity suggests a regulatory role for Zn2+ binding to CARD9; however, further characterization will be required to determine to what extent the cellular context influences the binding of Zn2+ to the CARD9–CARD. To our knowledge, this is the first observation of metal binding in the CARD family or the larger death-domain family. Among the close paralogues to CARD9 (CARD11, CARD10, and CARD14), the coordinating cysteine and histidine are not conserved (Fig. S7A), consistent with the lack of Zn2+ binding observed for the CARD11–CARD (Fig. S4D). The histidine and cysteine are conserved within CARD9 orthologues among mammals but not in reptiles or more divergent species (Fig. S7B).
Although Zn2+ binding does not substantially alter the CARD9–CARD structure, it does increase its stability, reducing the conformational flexibility of the domain. Moreover, Zn2+ dramatically affects the polymerization propensity of the CARD9–CARD. Indeed, the most striking in vitro impact of Zn2+ binding that we observed was the modulation of filament formation, shown in Fig. 6, A–C. Although it has been assumed that CARD9, like CARD11, propagates signaling by forming a nucleating seed, Fig. 6 represents the first direct evidence that the CARD of CARD9 is capable of forming a helical assembly, that this assembly closely mirrors the symmetry of the Bcl10 helical assembly, and that the CARD is capable of directly templating Bcl10 polymerization. The micrometer length filaments shown in Fig. 6A were generated with high concentrations of a CARD9 construct lacking the coiled-coil region and are thus unlikely to reflect the size of CARD9 assemblies that would form in cells. Rather, we suggest a model wherein CARD9–CARDs are brought to a high local concentration by coiled-coil domain-mediated oligomerization, driving formation of a CARD9–CARD helical “seed” that acts to template and thereby nucleate assembly of Bcl10 filaments.
Given the role of Zn2+ in modulating this template formation, we predict that the primary role of Zn2+ binding in CARD9 will prove to be in modulating the propensity to form this template and hence propagate signaling. Within dendritic cells where CARD9 functions, cytosolic zinc concentrations have been shown to decrease during maturation, potentially serving to prime the CARD9–CARD for subsequent signaling events (42). Alternatively, a “Zn2+-wave” type of transient Zn2+ increase could serve to blunt excessive signaling though CARD9 by promoting helical disassembly after stimuli. A detailed temporal study of zinc levels during maturation and stimulation will be required to tease out the specific mechanisms by which Zn2+ binding may modulate the CARD9 signaling axis.
The similarity between the NMR solution structures of the apo and Zn2+-bound CARD9–CARD (Fig. 3) along with the dramatic differences in stability and conformational flexibility (Fig. 4) suggest that the CARD within the helical assembly may require conformational rearrangement as compared with the monomer in solution. This phenomenon was recently demonstrated for the Bcl10 CARD, for which significant structural rearrangement was observed in a 4-Å resolution cryo-EM structure of the helix as compared with the monomeric NMR solution structure (30). Indeed, the largest differences between the Bcl10–CARD structures are in the orientation of helix α1, which in the CARD9–CARD contains Cys-10 and would thus be conformationally restricted by Zn2+ binding. Unfortunately, as was reported for filaments of the Bcl10 CARD alone, CARD9–CARD filaments present primarily as single filaments on NS-EM grids but almost exclusively as massive bundles of filaments (approximately micrometer diameter) when imaging by cryo-EM is attempted. The presence of these large bundles may also help to explain the relatively weak bulk solution nucleating capacity of the CARD9–CARD filaments (Fig. 6E), as they necessarily sequester large numbers of unproductive CARDs. David et al. (30) were ultimately able to determine a cryo-EM structure of the Bcl10–CARD filament using a construct containing the Ser/Thr-rich domain that is disordered relative to the CARD core and therefore absent in the reconstruction. Nevertheless, the Ser/Thr-rich domains serve to block side-to-side filament associations and are observable en masse on each individual filament, allowing us to distinguish the Bcl10 filaments from the thinner CARD9–CARD filaments (30). A similar strategy in CARD9 may allow for future high-resolution structure determination, which would provide insight into both homotypic and heterotypic CARD–CARD interactions, as well as into the specific mechanism by which Zn2+ binding modulates CARD9–CARD helical assembly.
As is common in the death-domain family, the CARD9–CARD engages in interactions with other CARDs (Fig. 6, D and H), generating helical assemblies in which the individual domains share a common orientation relative to the helical axis (43). The symmetric nature of the domain-swapped dimer would interfere with this assembly, explaining why the dimer is unable to incorporate into filaments. We thus speculate that the domain-swapped CARD9–CARD dimer (Fig. 5) may act as a negative regulator of CARD9 signaling that could be modulated by Zn2+ binding. The domain-swapped structure, however, is formed between CARD9–CARDs under the high concentrations of E. coli overexpression and outside of the context of the full proteins. Further characterization of the full-length protein under physiological conditions, perhaps by utilizing conformationally specific antibodies or an engineered protein deficient in domain swapping, will be required to determine whether the domain-swapped conformation is indeed biologically relevant.
In conclusion, we have identified and structurally characterized multiple conformations accessible to the CARD9–CARD, including a monomer, a domain-swapped dimer, and a filamentous helical assembly (graphically summarized in Fig. 7). CARD9 binds to Zn2+ with picomolar affinity, which modulates interconversion between these states, stabilizing the CARD9–CARD ground-state conformation and restricting its capacity to form Bcl10-nucleating filaments. We have thus identified CARD9 as a potential target of Zn2+-mediated signaling during innate immune responses.
Experimental procedures
Protein purification
CARD9 and CARD11–CARDs (residues 2–97 for CARD9 and 8–109 for CARD11) were expressed in BL21(DE3) cells with an N-terminal, TEV protease-cleavable His6 tag. Protein production was achieved by growth for 48–72 h at 16 °C in TB autoinduction media or 15N autoinduction media for unlabeled and 15N-labeled protein, respectively (44). 13C,15N-Labeled protein was generated by induction in 13C,15N minimal media with 0.5 mm IPTG for 6 h at 37 °C. Proteins were purified by Ni-NTA (Qiagen), overnight cleavage by TEV protease, removal of imidazole by dialysis, and removal of TEV and any remaining uncleaved protein by Ni-NTA. Final purification and separation of monomeric and dimeric species were achieved via a Superdex 75 gel-filtration column (GE Healthcare). For all proteins used in metal-binding experiments, 5 mm EDTA was added prior to the final gel-filtration column. For proteins used in CARD9–CARD filament assays, 500 μm ZnCl2 was added after the second Ni-NTA column, prior to concentration before the gel-filtration step.
For the Bcl10 FP assay, an E. coli expression construct was generated comprising an N-terminal His6 tag followed by MBP, a TEV cleavage site, Bcl10C29A/C10A, a short linker, and an HA peptide (MBP–Bcl10). The cysteines were mutated to allow for labeling exclusively on the Ser/Thr-rich domain and not the CARD. The ORF was designed to exactly replicate the construct generated by Qiao et al. (23), with the addition of GSGSYPYDVPDYA at the C terminus. MBP–Bcl10 was expressed in BL21(DE3) cells in LB media, which were induced by addition of 0.2 mm IPTG at A600 0.7 for 1 h at 37 °C. MBP–Bcl10 was purified by Ni-NTA and eluted in ∼3 ml, to which 2 μm Alexa Fluor 488 C5 maleimide (ThermoFisher Scientific) was added, followed by incubation for 10 min at room temperature. The labeled protein was then loaded directly with no concentration onto a Superdex 200 gel-filtration column (GE Healthcare) in 20 mm Tris, 150 mm NaCl, 0.5 mm TCEP, pH 7.5. Both the FP assay and preparation of grids for NS-EM were initiated within 2 h of the protein eluting from the gel-filtration column.
NMR assignments and solution structure determination
For apo assignments and structure determination, monomeric 13C,15N-labeled CARD9–CARD was purified in 50 mm Tris, 300 mm NaCl, 0.5 mm TCEP, pH 7.0, and concentrated to 400 μm for all NMR experiments. All experiments were collected at 37 °C on an 800-MHz Bruker spectrometer with a cryogenically cooled probe. Backbone assignments were determined through sequential assignments using 15N HSQC, CBCA(CO)NH, HNCACB, HNCO, HN(CA)CO, and (H)CC(CO)NH experiments. Side-chain assignments were determined using 13C HSQC (aliphatic and aromatic), HCCH-TOCSY, and 13C NOESY-HSQC (aliphatic and aromatic, 150-ms mixing times) experiments. Additional 15N NOESY-HSQC (150-ms mixing time) and 13C NOESY-HSQC (aliphatic and aromatic, 150-ms mixing times, dissolved in 99.99% D2O) experiments were collected to assist in structure determination.
For the Zn2+-bound CARD9–CARD, monomeric 13C,15N-labeled CARD was purified as above to 400 μm followed by addition of 480 μm ZnCl2. Backbone and side-chain assignments were transferred from the apo form, utilizing 15N HSQC, HNCACB, HNCA, 13C HSQC (aliphatic and aromatic), HCCH-TOCSY, and 13C NOESY-HSQC (aliphatic and aromatic, 150 ms mixing times) experiments, with additional 15N NOESY-HSQC (150-ms mixing time) and 13C NOESY-HSQC (aliphatic and aromatic, 150 ms mixing times, dissolved in 99.99% D2O) experiments collected to assist in structure determination. Stereospecific assignments for valine and leucine methyl groups were determined for the Zn2+-bound CARD9–CARD by expressing the protein in M9 media with a 1:9 13C/12C glucose ratio and collection of 13C HSCQ spectra as described by Senn et al. (45); these stereospecific assignments were subsequently transferred to the spectra of the apo protein. All spectra were referenced directly (1H) or indirectly (13C and 15N) to an internal 2,2-dimethyl-2-silapentane-5-sulfonic acid standard. All spectra were processed using Bruker TopSpin version 3.5 and subsequently analyzed in CcpNMR Analysis version 2.4 (46).
For both apo and Zn2+-bound samples, a small proportion of the monomeric protein converted to the domain-swapped dimer over the course of extended NMR data collection; however, the concentration remained sufficiently low as to not register in the 3D experiments and was therefore ignored for both sequential assignments and structure calculation.
For structure determination of both the apo and Zn2+-bound CARD9–CARD, dihedral angles were estimated using TALOS+ (47). For the Zn2+-bound CARD, restraints were enforced to maintain coordination by Cys-10 Sγ and His-73 Nδ1. NOE peaks were assigned and initial structure determination was achieved using the CYANA version 3.97 NOE assignment and structure determination package (48, 49). Sum of r−6 averaging was used for all NOEs. For each round of CYANA NOE assignment and structure determination, 100 structures were generated, with the 20 lowest target function structures proceeding to the next round. After the final round of NOE assignments, 100 structures were calculated and subsequently refined in explicit water using the PARAM19 force field in CNS version 1.2 (50, 51) and the WaterRefCNS package developed by Dr. Robert Tejero. The 20 lowest energy structures for each of the apo and Zn2+-bound refinements in water are presented here. Structures were evaluated using PROCHECK-NMR, with statistics presented in Table 1. All structural depictions were generated in PyMOL.
Metal binding by NMR
15N HSQC spectra were collected on 100 μm 15N-labeled WT and mutant CARD9–CARDs in 50 mm HEPES, 300 mm NaCl, 0.5 mm TCEP, pH 7.0, on a 600-MHz Bruker spectrometer at 37 °C, unless otherwise noted. 15N-SOFAST HMQC spectra of 150 μm 15N-labeled CARD11–CARD with or without 150 μm ZnCl2 were collected in 50 mm HEPES, 300 mm NaCl, 0.5 mm TCEP, pH 7.0, on an 800-MHz Bruker spectrometer at 25 °C. Stock concentrations of ZnCl2, MnCl2, CuCl2, and NiCl2 were determined via inductively coupled plasma MS.
Metal competition assays
Competition assays were performed in 20-μl volumes in 10 mm HEPES, 150 mm NaCl, pH 7.5. Wildtype (WT) or mutant CARD9–CARDs were mixed 1:1 with either mag-fura-2 or indo-1 dyes, with final concentrations of 10 μm each. Stock CARD9–CARD concentrations were determined by measuring absorbance at 280 nm; mag-fura-2 and indo-1 stock concentrations were determined by measuring absorbance at 369 and 346 nm, respectively, in the presence of EDTA. CARD9–CARD and dye were incubated at 25 °C with the indicated concentrations of Zn2+ for 15 and 45 min for mag-fura-2 and indo-1, respectively, to ensure that measurements were made under equilibrium conditions. For mag-fura-2 samples, Zn2+ binding was monitored by measuring emission at 497 nm upon excitation at 325 nm. For indo-1 samples, Zn2+ binding was monitored by measuring emission at 460 nm upon excitation at 320 nm. All measurements were made on a Molecular Devices SpectraMax M5e plate reader. Data were fit to the exact competitive binding equation described by Wang (28) using GraphPad Prism 7.
Differential scanning fluorimetry
Protein denaturation was monitored by differential scanning fluorimetry using the NanoTemper Prometheus NT.48 for both data collection and analysis. 100 μm CARD9–CARD was prepared with or without addition of 100 μm ZnCl2 in 50 mm HEPES, 150 mm NaCl, 0.5 mm TCEP, pH 7.5. Temperature was increased at 1 °C/min, and the protein-folding state was monitored via the ratio of tryptophan fluorescence at 350 and 330 nm. Melting temperature was determined as the inflection point of the 350/330 ratio.
Hydrogen-deuterium exchange
250 μm 15N-labeled monomeric CARD9–CARD samples were generated in 50 mm HEPES, 300 mm NaCl, 250 μm ZnCl2, 0.5 mm TCEP, pH 7.0, with or without 1 mm EDTA. Samples were lyophilized and resuspended in 99.99% D2O, followed by immediate collection of 15N-labeled SOFAST-HMQC (52) experiments at 25 °C on a Bruker 600-MHz spectrometer for time points shown. The mid-point of the SOFAST-HMQC experiments was used as the time points for both plotting and fitting. For all resolved peaks, peak height decay curves were fit to a single-phase exponential using GraphPad Prism 7.
Crystallography and structure determination
Dimeric WT CARD9–CARD was purified in 20 mm Tris, 150 mm NaCl, 0.5 mm TCEP, pH 7.0, and concentrated for crystallization. Apo crystals were generated by vapor diffusion at 19 °C in 0.4-μl sitting drops by mixing 20 mg/ml CARD9–CARD dimer and 1.1 m ammonium tartrate dibasic, pH 7.0 (Hampton Research), at a 1:1 ratio. Crystals were transferred into a cryo-protectant solution of the crystallization solution supplemented with 20% glycerol and frozen in liquid nitrogen. Crystals into which Zn2+ was soaked were generated by vapor diffusion at 19 °C in 0.4-μl sitting drops comprising a 1:1 mix of 20 mg/ml CARD9–CARD dimer and 5% v/v tacsimate, 0.1 m HEPES, pH 7.0, 10% w/v PEG monomethyl ether 5,000 (Hampton Research). These crystals were transferred into the crystallization buffer supplemented with 3 mm ZnCl2 and incubated ∼16 h at 19 °C. Crystals were then transferred into a cryo-protectant solution of the crystallization solution supplemented with both 1 mm ZnCl2 and 20% glycerol and subsequently frozen in liquid nitrogen.
Diffraction images were collected at the Advanced Light Source beamline 5.0.2. Data were indexed, integrated, and scaled using XDS and XSCALE (53). Both structures were solved by molecular replacement with Phaser-MR within the Phenix package (54, 55), using the monomeric CARD11–CARD structure (PDB code 4LWD) as a search model for the apo structure and the apo domain-swapped dimer structure as a search model for the Zn2+-bound structure. For both structures, iterative cycles of model building in COOT (56) and refinement in Phenix were used to generate final models. All structural depictions were generated in PyMOL.
Monomer–dimer interconversion kinetics
300 μm 15N-labeled dimeric CARD9–CARD samples were generated in 50 mm HEPES, 300 mm NaCl, 500 μm ZnCl2, 0.5 mm TCEP, pH 7.0, with or without 1 mm EDTA. Samples were transferred to 25 °C followed by immediate collection of SOFAST-HMQC (52) experiments at 25 °C on a Bruker 600-MHz spectrometer. Between time points, samples were incubated at 25 °C. For CARD11, 180 μm 15N-labeled dimeric CARD11–CARD was prepared in 50 mm HEPES, 300 mm NaCl, 0.5 mm TCEP, pH 7.0; the sample was generated by concentrating fractions from the dimer peak in Fig. S4A at 4 °C for ∼1 h, followed by immediate data collection at 25 °C. The mid-point of the SOFAST-HMQC experiments was used as the time points for both plotting and fitting. Monomeric and dimeric peak heights were fit simultaneously to a single-phase exponential for each sample using GraphPad Prism 7 using amide peak of Ser-28 (CARD9) or the peak boxed out in Fig. S4B (CARD11).
CARD9–CARD filament formation
Zn2+-bound CARD9–CARD was prepared by saturating with Zn2+ prior to a final size-exclusion purification step. 50 μl of Zn2+-bound CARD9–CARD was prepared in 50 mm Tris, 150 or 300 mm NaCl, 0.5 mm TCEP at the indicated concentrations in a 384-well clear-bottom plate. At t = 0, Zn2+ was removed by addition of 250 μm EDTA. Filament formation was monitored by measuring absorbance at 350 nm on a Molecular Devices SpectraMax M5e plate reader while shaking at 25 °C. At the indicated time point, an additional 250 μm ZnCl2 was added to each well, and monitoring was continued. Samples for EM were taken just prior to EDTA addition, just prior to Zn2+ addition, and at the end of the assay.
Bcl10 fluorescence polarization assay
The assay was performed in a 20-μl volume in 20 mm Tris, 150 mm NaCl, 0.5 mm TCEP, pH 7.5, with 1 or 2 μm final concentration of MBP–Bcl10 as indicated. CARD9–CARD filaments were prepared as in Fig. 6C by addition of 250 μm EDTA to 200 μm Zn2+-saturated CARD9–CARD, followed by incubation with shaking at 25 °C for 90 min. The CARD9–CARD monomer control was treated identically to the filament sample, but without addition of EDTA. At the initiation of the experiment, TEV protease was added to 0.05 mg/ml along with CARD9–CARD monomer or filaments as indicated. Fluorescence polarization was measured by exciting at 495 nm and monitoring at 519 nm on a Molecular Devices SpectraMax M5e plate reader at 25 °C. We note that by the 90-min end point of the FP assay at 25 °C, small numbers of filaments form in the MBP–Bcl10 sample in the absence of TEV, indicating that the MBP is not absolute in its ability to block polymerization (Fig. S5D). These filaments are sufficiently sparse as to not register on the FP assay (Fig. 6E) and much thicker than the Bcl10 filaments that form upon TEV cleavage, ensuring that we are not observing them in Fig. 6, F and H.
EM and helical reconstruction
Negative stain samples were generated by incubating on glow-discharged carbon on 400-mesh copper grids (Electron Microscopy Sciences) for 30 s, followed by staining with 2% uranyl acetate. For Fig. 6, A and B, and Fig. S5, A and D, and micrographs used for helical reconstruction of the CARD9–CARD filaments, 4-μl samples were applied at 200 μm with no dilution. For Fig. 6, F and H, samples were prepared by mixing MBP–Bcl10 (2 μm), CARD9–CARD filaments (10 μm), and/or TEV (0.05 mg/ml) as indicated and incubating at room temperature for 2 min followed by direct application of 4 μl onto the grid, with no dilution.
Grids were imaged using a Talos F200C microscope operated at 200 kV and Ceta camera (ThermoFisher Scientific). Images for helical reconstruction were collected at 2.006 Å/pixel; all other images were collected at 4.097 Å/pixel. For helical reconstruction of the CARD9–CARD filament, filaments were manually picked using the EMAN2 program e2helixboxer (57), and all subsequent processing steps were performed utilizing routines in Spring (58). CTF parameters were determined using Micctfdetermine, which utilizes CTFFIND (59). Micrographs were CTF corrected and segmented using Segment, yielding 16,754 segments, which were classified into 50 classes using Segmentclass. Six of these classes (chosen by visual inspection) were analyzed using Segclassreconstruct, which computes a 3D reconstruction based on a single class average over a set of incremented helical symmetries (i.e. rise and rotation); the projections of these reconstructions are quantitatively compared against the original class average to identify helical symmetries compatible with the class average. Of those helical parameters that returned a high-correlation coefficient, the 3D reconstructions were visually inspected to identify structures that contained volumes compatible with the globular CARD9–CARD. These helical parameters were then used as an input to Segmentrefine3D to iteratively refine the structure from the segment stack, beginning from a cylinder of radius 100 Å. Finally, the 2D projections and power spectra of the reconstructions were compared against the class averages; only the reported parameters of a 5-Å rise and 102° rotation yielded a projection and power spectrum that matched the class averages (Fig. S6, A–C). The final reconstruction utilized 11,226 segments. Using six independent class averages, we ran Segclassreconstruct with fine spacing (0.1 Å and 0.1°) around 5 Å and 102°. The highest correlation symmetry parameters in all cases were within ± 0.1 Å and ± 0.5° of the reported symmetry, providing an estimate of the uncertainty in these values. Fourier shell correlation analysis (Fig. S6D) of the final structure indicates a resolution of 13.0 Å; however, we were unable to discern significant structural details beyond the location of the individual CARD9–CARDs, and so we suggest by comparison with other comparable structures that the resolution is ∼20 Å.
Sequence alignment
Multiple sequence alignments were performed using Clustal Omega (60).
Author contributions
M. J. H., E. H., A. R., E. C. D., and W. J. F. conceptualization; M. J. H. data curation; M. J. H., R. F., and A. R. formal analysis; M. J. H. validation; M. J. H., R. F., G. d. L. B., A. E., and A. R. investigation; M. J. H. visualization; M. J. H., A. R., E. C. D., and W. J. F. methodology; M. J. H. writing-original draft; M. J. H., E. H., A. R., E. C. D., and W. J. F. writing-review and editing; A. R., E. C. D., and W. J. F. supervision.
Supplementary Material
Acknowledgments
We thank Menno van Lookeren Campagne, Joseph Chavarria-Smith, Erik Verschueren, and Peter Liu for their helpful discussions and assistance in this study. We thank Hao Wu (Harvard University) for assistance with the Bcl10 fluorescence polarization assay.
The authors declare that they have no conflicts of interest with the contents of this article.
This article contains Figs. S1–S7.
The atomic coordinates and structure factors (codes 6E25, 6E26, 6E27, and 6E28) have been deposited in the Protein Data Bank (http://wwpdb.org/).
Chemical shifts for the apo- and Zn2+-bound CARD9–CARD monomer were deposited in the Biological Magnetic Resonance Database under BMRB accession numbers 30491 and 30492, respectively.
Electron microscopy density map for the CARD9–CARD filament has been deposited in the Electron Microscopy Data Bank under EMDB accession number 8976.
- ITAM
- immunoreceptor tyrosine-based activation motif
- CARD
- caspase recruitment domain
- ORCH
- obesity-related cardiac hypertrophy
- NS-EM
- negative stain–electron microscopy
- HSQC
- heteronuclear signal quantum coherence
- SOFAST-HMQC
- selective optimized flip-angle short-transient heteronuclear multiple quantum coherence
- CI
- confidence interval
- HDX
- hydrogen-deuterium exchange
- TEV
- tobacco etch virus
- IPTG
- isopropyl 1-thio-β-d-galactopyranoside
- RMSD
- root mean square deviation
- TCEP
- tris(2-carboxyethyl)phosphine
- PDB
- Protein Data Bank
- FP
- fluorescence polarization
- Ni-NTA
- nickel-nitrilotriacetic acid
- MAPK
- mitogen-activated protein kinase
- MBP
- maltose-binding protein
- CTF
- contrast transfer function.
References
- 1. Taylor P. R., Tsoni S. V., Willment J. A., Dennehy K. M., Rosas M., Findon H., Haynes K., Steele C., Botto M., Gordon S., and Brown G. D. (2007) Dectin-1 is required for β-glucan recognition and control of fungal infection. Nat. Immunol. 8, 31–38 10.1038/ni1408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Wells C. A., Salvage-Jones J. A., Li X., Hitchens K., Butcher S., Murray R. Z., Beckhouse A. G., Lo Y. L., Manzanero S., Cobbold C., Schroder K., Ma B., Orr S., Stewart L., Lebus D., et al. (2008) The macrophage-inducible C-type lectin, mincle, is an essential component of the innate immune response to Candida albicans. J. Immunol. 180, 7404–7413 10.4049/jimmunol.180.11.7404 [DOI] [PubMed] [Google Scholar]
- 3. Robinson M. J., Osorio F., Rosas M., Freitas R. P., Schweighoffer E., Gross O., Verbeek J. S., Ruland J., Tybulewicz V., Brown G. D., Moita L. F., Taylor P. R., and Reis e Sousa C. (2009) Dectin-2 is a Syk-coupled pattern recognition receptor crucial for Th17 responses to fungal infection. J. Exp. Med. 206, 2037–2051 10.1084/jem.20082818 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Gross O., Gewies A., Finger K., Schäfer M., Sparwasser T., Peschel C., Förster I., and Ruland J. (2006) Card9 controls a non-TLR signalling pathway for innate anti-fungal immunity. Nature 442, 651–656 10.1038/nature04926 [DOI] [PubMed] [Google Scholar]
- 5. Strasser D., Neumann K., Bergmann H., Marakalala M. J., Guler R., Rojowska A., Hopfner K. P., Brombacher F., Urlaub H., Baier G., Brown G. D., Leitges M., and Ruland J. (2012) Syk kinase-coupled C-type lectin receptors engage protein kinase C-σ to elicit Card9 adaptor-mediated innate immunity. Immunity 36, 32–42 10.1016/j.immuni.2011.11.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Bertin J., Guo Y., Wang L., Srinivasula S. M., Jacobson M. D., Poyet J. L., Merriam S., Du M. Q., Dyer M. J., Robison K. E., DiStefano P. S., and Alnemri E. S. (2000) CARD9 is a novel caspase recruitment domain-containing protein that interacts with BCL10/CLAP and activates NF-κB. J. Biol. Chem. 275, 41082–41086 10.1074/jbc.C000726200 [DOI] [PubMed] [Google Scholar]
- 7. Lanternier F., Pathan S., Vincent Q. B., Liu L., Cypowyj S., Prando C., Migaud M., Taibi L., Ammar-Khodja A., Stambouli O. B., Guellil B., Jacobs F., Goffard J. C., Schepers K., Del Marmol V., et al. (2013) Deep dermatophytosis and inherited CARD9 deficiency. N. Engl. J. Med. 369, 1704–1714 10.1056/NEJMoa1208487 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Lanternier F., Mahdaviani S. A., Barbati E., Chaussade H., Koumar Y., Levy R., Denis B., Brunel A. S., Martin S., Loop M., Peeters J., de Selys A., Vanclaire J., Vermylen C., Nassogne M. C., et al. (2015) Inherited CARD9 deficiency in otherwise healthy children and adults with Candida species-induced meningoencephalitis, colitis, or both. J. Allergy Clin. Immunol. 135, 1558–1568.e2 10.1016/j.jaci.2014.12.1930 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Rieber N., Gazendam R. P., Freeman A. F., Hsu A. P., Collar A. L., Sugui J. A., Drummond R. A., Rongkavilit C., Hoffman K., Henderson C., Clark L., Mezger M., Swamydas M., Engeholm M., Schüle R., et al. (2016) Extrapulmonary Aspergillus infection in patients with CARD9 deficiency. JCI Insight 1, e89890 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Glocker E. O., Hennigs A., Nabavi M., Schäffer A. A., Woellner C., Salzer U., Pfeifer D., Veelken H., Warnatz K., Tahami F., Jamal S., Manguiat A., Rezaei N., Amirzargar A. A., Plebani A., et al. (2009) A homozygous CARD9 mutation in a family with susceptibility to fungal infections. N. Engl. J. Med. 361, 1727–1735 10.1056/NEJMoa0810719 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Roth S., Rottach A., Lotz-Havla A. S., Laux V., Muschaweckh A., Gersting S. W., Muntau A. C., Hopfner K. P., Jin L., Vanness K., Petrini J. H., Drexler I., Leonhardt H., and Ruland J. (2014) Rad50-CARD9 interactions link cytosolic DNA sensing to IL-1β production. Nat. Immunol. 15, 538–545 10.1038/ni.2888 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hsu Y. M., Zhang Y., You Y., Wang D., Li H., Duramad O., Qin X. F., Dong C., and Lin X. (2007) The adaptor protein CARD9 is required for innate immune responses to intracellular pathogens. Nat. Immunol. 8, 198–205 10.1038/ni1426 [DOI] [PubMed] [Google Scholar]
- 13. Poeck H., Bscheider M., Gross O., Finger K., Roth S., Rebsamen M., Hannesschläger N., Schlee M., Rothenfusser S., Barchet W., Kato H., Akira S., Inoue S., Endres S., Peschel C., et al. (2010) Recognition of RNA virus by RIG-I results in activation of CARD9 and inflammasome signaling for interleukin 1β production. Nat. Immunol. 11, 63–69 10.1038/ni.1824 [DOI] [PubMed] [Google Scholar]
- 14. Zhernakova A., Festen E. M., Franke L., Trynka G., van Diemen C. C., Monsuur A. J., Bevova M., Nijmeijer R. M., van 't Slot R., Heijmans R., Boezen H. M., van Heel D. A., van Bodegraven A. A., Stokkers P. C., Wijmenga C., et al. (2008) Genetic analysis of innate immunity in Crohn's disease and ulcerative colitis identifies two susceptibility loci harboring CARD9 and IL18RAP. Am. J. Hum. Genet. 82, 1202–1210 10.1016/j.ajhg.2008.03.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Hong S. N., Park C., Park S. J., Lee C. K., Ye B. D., Kim Y. S., Lee S., Chae J., Kim J. I., Kim Y. H., and IBD Study Group of the Korean Association for the Study of Intestinal Diseases (KASID)). (2016) Deep resequencing of 131 Crohn's disease associated genes in pooled DNA confirmed three reported variants and identified eight novel variants. Gut 65, 788–796 10.1136/gutjnl-2014-308617 [DOI] [PubMed] [Google Scholar]
- 16. Lee E. J., Brown B. R., Vance E. E., Snow P. E., Silver P. B., Heinrichs D., Lin X., Iwakura Y., Wells C. A., Caspi R. R., and Rosenzweig H. L. (2016) Mincle activation and the Syk/Card9 signaling axis are central to the development of autoimmune disease of the eye. J. Immunol. 196, 3148–3158 10.4049/jimmunol.1502355 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Peterson M. R., Haller S. E., Ren J., Nair S., and He G. (2016) CARD9 as a potential target in cardiovascular disease. Drug Des. Devel. Ther. 10, 3799–3804 10.2147/DDDT.S122508 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Wang S., Gu J., Xu Z., Zhang Z., Bai T., Xu J., Cai J., Barnes G., Liu Q. J., Freedman J. H., Wang Y., Liu Q., Zheng Y., and Cai L. (2017) Zinc rescues obesity-induced cardiac hypertrophy via stimulating metallothionein to suppress oxidative stress-activated BCL10/CARD9/p38 MAPK pathway. J. Cell. Mol. Med. 21, 1182–1192 10.1111/jcmm.13050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Haase H., Ober-Blöbaum J. L., Engelhardt G., Hebel S., Heit A., Heine H., and Rink L. (2008) Zinc signals are essential for lipopolysaccharide-induced signal transduction in monocytes. J. Immunol. 181, 6491–6502 10.4049/jimmunol.181.9.6491 [DOI] [PubMed] [Google Scholar]
- 20. Yamasaki S., Sakata-Sogawa K., Hasegawa A., Suzuki T., Kabu K., Sato E., Kurosaki T., Yamashita S., Tokunaga M., Nishida K., and Hirano T. (2007) Zinc is a novel intracellular second messenger. J. Cell Biol. 177, 637–645 10.1083/jcb.200702081 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hojyo S., and Fukada T. (2016) Roles of zinc signaling in the immune system. J. Immunol. Res. 2016, 6762343 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Haase H., and Rink L. (2009) Functional significance of zinc-related signaling pathways in immune cells. Annu. Rev. Nutr. 29, 133–152 10.1146/annurev-nutr-080508-141119 [DOI] [PubMed] [Google Scholar]
- 23. Qiao Q., Yang C., Zheng C., Fontán L., David L., Yu X., Bracken C., Rosen M., Melnick A., Egelman E. H., and Wu H. (2013) Structural architecture of the CARMA1/Bcl10/MALT1 signalosome: nucleation-induced filamentous assembly. Mol. Cell 51, 766–779 10.1016/j.molcel.2013.08.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Irving H., and Williams R. J. (1953) The stability of transition-metal complexes. J. Chem. Soc. 3192–3210 10.1039/jr9530003192 [DOI] [Google Scholar]
- 25. Rae T. D., Schmidt P. J., Pufahl R. A., Culotta V. C., and O'Halloran T. V. (1999) Undetectable intracellular free copper: the requirement of a copper chaperone for superoxide dismutase. Science 284, 805–808 10.1126/science.284.5415.805 [DOI] [PubMed] [Google Scholar]
- 26. McCranor B. J., Szmacinski H., Zeng H. H., Stoddard A. K., Hurst T., Fierke C. A., Lakowicz J. R., and Thompson R. B. (2014) Fluorescence lifetime imaging of physiological free Cu(II) levels in live cells with a Cu(II)-selective carbonic anhydrase-based biosensor. Metallomics 6, 1034–1042 10.1039/c3mt00305a [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Simons T. J. (1993) Measurement of free Zn2+ ion concentration with the fluorescent probe mag-fura-2 (furaptra). J Biochem Biophys Methods 27, 25–37 10.1016/0165-022X(93)90065-V [DOI] [PubMed] [Google Scholar]
- 28. Wang Z. X. (1995) An exact mathematical expression for describing competitive binding of two different ligands to a protein molecule. FEBS Lett. 360, 111–114 10.1016/0014-5793(95)00062-E [DOI] [PubMed] [Google Scholar]
- 29. Jefferson J. R., Hunt J. B., and Ginsburg A. (1990) Characterization of indo-1 and quin-2 as spectroscopic probes for Zn2+–protein interactions. Anal. Biochem. 187, 328–336 10.1016/0003-2697(90)90465-L [DOI] [PubMed] [Google Scholar]
- 30. David L., Li Y., Ma J., Garner E., Zhang X., and Wu H. (2018) Assembly mechanism of the CARMA1-BCL10-MALT1-TRAF6 signalosome. Proc. Natl. Acad. Sci. U.S.A. 115, 1499–1504 10.1073/pnas.1721967115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Maret W. (2013) Zinc biochemistry: from a single zinc enzyme to a key element of life. Adv. Nutr. 4, 82–91 10.3945/an.112.003038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Andreini C., Banci L., Bertini I., and Rosato A. (2006) Counting the zinc-proteins encoded in the human genome. J. Proteome Res. 5, 196–201 10.1021/pr050361j [DOI] [PubMed] [Google Scholar]
- 33. Bozym R. A., Thompson R. B., Stoddard A. K., and Fierke C. A. (2006) Measuring picomolar intracellular exchangeable zinc in PC-12 cells using a ratiometric fluorescence biosensor. ACS Chem. Biol. 1, 103–111 10.1021/cb500043a [DOI] [PubMed] [Google Scholar]
- 34. Li Y., and Maret W. (2009) Transient fluctuations of intracellular zinc ions in cell proliferation. Exp. Cell Res. 315, 2463–2470 10.1016/j.yexcr.2009.05.016 [DOI] [PubMed] [Google Scholar]
- 35. Vinkenborg J. L., Nicolson T. J., Bellomo E. A., Koay M. S., Rutter G. A., and Merkx M. (2009) Genetically encoded FRET sensors to monitor intracellular Zn2+ homeostasis. Nat. Methods 6, 737–740 10.1038/nmeth.1368 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Krezel A., and Maret W. (2006) Zinc-buffering capacity of a eukaryotic cell at physiological pZn. J. Biol. Inorg. Chem. 11, 1049–1062 10.1007/s00775-006-0150-5 [DOI] [PubMed] [Google Scholar]
- 37. Hessels A. M., Chabosseau P., Bakker M. H., Engelen W., Rutter G. A., Taylor K. M., and Merkx M. (2015) eZinCh-2: a versatile, genetically encoded FRET sensor for cytosolic and intraorganelle Zn2+ imaging. ACS Chem. Biol. 10, 2126–2134 10.1021/acschembio.5b00211 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Adebodun F., and Post J. F. (1995) Role of intracellular free Ca(II) and Zn(II) in dexamethasone-induced apoptosis and dexamethasone resistance in human leukemic CEM cell lines. J. Cell. Physiol. 163, 80–86 10.1002/jcp.1041630109 [DOI] [PubMed] [Google Scholar]
- 39. Peck E. J. Jr., and Ray W. J. Jr. (1971) Metal complexes of phosphoglucomutase in vivo. Alterations induced by insulin. J. Biol. Chem. 246, 1160–1167 [PubMed] [Google Scholar]
- 40. Qin Y., Miranda J. G., Stoddard C. I., Dean K. M., Galati D. F., and Palmer A. E. (2013) Direct comparison of a genetically encoded sensor and small molecule indicator: implications for quantification of cytosolic Zn2+. ACS Chem. Biol. 8, 2366–2371 10.1021/cb4003859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Bafaro E., Liu Y., Xu Y., and Dempski R. E. (2017) The emerging role of zinc transporters in cellular homeostasis and cancer. Signal. Transduct. Target Ther. 2, 17029 10.1038/sigtrans.2017.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Kitamura H., Morikawa H., Kamon H., Iguchi M., Hojyo S., Fukada T., Yamashita S., Kaisho T., Akira S., Murakami M., and Hirano T. (2006) Toll-like receptor-mediated regulation of zinc homeostasis influences dendritic cell function. Nat. Immunol. 7, 971–977 10.1038/ni1373 [DOI] [PubMed] [Google Scholar]
- 43. Ferrao R., and Wu H. (2012) Helical assembly in the death domain (DD) superfamily. Curr. Opin. Struct. Biol. 22, 241–247 10.1016/j.sbi.2012.02.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Studier F. W. (2005) Protein production by auto-induction in high density shaking cultures. Protein Expr. Purif. 41, 207–234 10.1016/j.pep.2005.01.016 [DOI] [PubMed] [Google Scholar]
- 45. Senn H., Werner B., Messerle B. A., Weber C., Traber R., and Wuthrich K. (1989) Stereospecific assignment of the methyl H-1-NMR lines of valine and leucine in polypeptides by nonrandom C-13 labeling. FEBS Lett. 249, 113–118 10.1016/0014-5793(89)80027-4 [DOI] [Google Scholar]
- 46. Vranken W. F., Boucher W., Stevens T. J., Fogh R. H., Pajon A., Llinas M., Ulrich E. L., Markley J. L., Ionides J., and Laue E. D. (2005) The CCPN data model for NMR spectroscopy: development of a software pipeline. Proteins 59, 687–696 10.1002/prot.20449 [DOI] [PubMed] [Google Scholar]
- 47. Shen Y., Delaglio F., Cornilescu G., and Bax A. (2009) TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts. J Biomol NMR 44, 213–223 10.1007/s10858-009-9333-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Güntert P., Mumenthaler C., and Wüthrich K. (1997) Torsion angle dynamics for NMR structure calculation with the new program DYANA. J. Mol. Biol. 273, 283–298 10.1006/jmbi.1997.1284 [DOI] [PubMed] [Google Scholar]
- 49. Herrmann T., Güntert P., and Wüthrich K. (2002) Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA. J. Mol. Biol. 319, 209–227 10.1016/S0022-2836(02)00241-3 [DOI] [PubMed] [Google Scholar]
- 50. Brünger A. T., Adams P. D., Clore G. M., DeLano W. L., Gros P., Grosse-Kunstleve R. W., Jiang J. S., Kuszewski J., Nilges M., Pannu N. S., Read R. J., Rice L. M., Simonson T., and Warren G. L. (1998) Crystallography and NMR system: a new software suite for macromolecular structure determination. Acta Crystallogr. D Biol. Crystallogr. 54, 905–921 10.1107/S0907444998003254 [DOI] [PubMed] [Google Scholar]
- 51. Brunger A. T. (2007) Version 1.2 of the Crystallography and NMR system. Nat. Protoc. 2, 2728–2733 10.1038/nprot.2007.406 [DOI] [PubMed] [Google Scholar]
- 52. Schanda P., Kupce E., and Brutscher B. (2005) SOFAST-HMQC experiments for recording two-dimensional heteronuclear correlation spectra of proteins within a few seconds. J. Biomol. NMR 33, 199–211 10.1007/s10858-005-4425-x [DOI] [PubMed] [Google Scholar]
- 53. Kabsch W. (2010) XDS. Acta Crystallogr. D Biol. Crystallogr. 66, 125–132 10.1107/S0907444909047337 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. McCoy A. J. (2007) Solving structures of protein complexes by molecular replacement with Phaser. Acta Crystallogr. D Biol. Crystallogr. 63, 32–41 10.1107/S0907444906045975 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Adams P. D., Afonine P. V., Bunkóczi G., Chen V. B., Davis I. W., Echols N., Headd J. J., Hung L. W., Kapral G. J., Grosse-Kunstleve R. W., McCoy A. J., Moriarty N. W., Oeffner R., Read R. J., Richardson D. C., et al. (2010) PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 66, 213–221 10.1107/S0907444909052925 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Emsley P., and Cowtan K. (2004) Coot: model-building tools for molecular graphics. Acta Crystallogr. D Biol. Crystallogr. 60, 2126–2132 10.1107/S0907444904019158 [DOI] [PubMed] [Google Scholar]
- 57. Tang G., Peng L., Baldwin P. R., Mann D. S., Jiang W., Rees I., and Ludtke S. J. (2007) EMAN2: an extensible image processing suite for electron microscopy. J. Struct. Biol. 157, 38–46 10.1016/j.jsb.2006.05.009 [DOI] [PubMed] [Google Scholar]
- 58. Desfosses A., Ciuffa R., Gutsche I., and Sachse C. (2014) SPRING-an image processing package for single-particle based helical reconstruction from electron cryomicrographs. J. Struct. Biol. 185, 15–26 10.1016/j.jsb.2013.11.003 [DOI] [PubMed] [Google Scholar]
- 59. Mindell J. A., and Grigorieff N. (2003) Accurate determination of local defocus and specimen tilt in electron microscopy. J. Struct. Biol. 142, 334–347 10.1016/S1047-8477(03)00069-8 [DOI] [PubMed] [Google Scholar]
- 60. Sievers F., Wilm A., Dineen D., Gibson T. J., Karplus K., Li W., Lopez R., McWilliam H., Remmert M., Söding J., Thompson J. D., and Higgins D. G. (2011) Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7, 539 [DOI] [PMC free article] [PubMed] [Google Scholar]
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