research papers
X-ray and EM structures of a natively glycosylated HIV-1 envelope trimer
aDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
*Correspondence e-mail: bjorkman@caltech.edu
The structural and biochemical characterization of broadly neutralizing anti-HIV-1 antibodies (bNAbs) has been essential in guiding the design of potential vaccines to prevent infection by HIV-1. While these studies have revealed critical mechanisms by which bNAbs recognize and/or accommodate N-glycans on the trimeric envelope glycoprotein (Env), they have been limited to the visualization of high-mannose glycan forms only, since heterogeneity introduced from the presence of complex
makes it difficult to obtain high-resolution structures. 3.5 and 3.9 Å resolution crystal structures of the HIV-1 Env trimer with fully processed and native glycosylation were solved, revealing a glycan shield of high-mannose and complex-type N-glycans that were used to define the complete epitopes of two bNAbs. Here, the of the N-glycans in the crystal structures is discussed and comparisons are made with glycan densities in glycosylated Env structures derived by single-particle cryo-electron microscopy.1. Introduction
The trimeric HIV-1 envelope glycoprotein (Env), the only target of neutralizing antibodies, is among the most heavily glycosylated proteins ever characterized (Lasky et al., 1986). It includes constituting up to 50% of its mass attached to 30 ± 3 potential N-linked glycosylation sites (PNGSs) per gp120–gp41 protomer. PNGSs can be easily identified in protein sequences as a three-residue sequon: Asn-X-Ser/Thr. During transit through the endoplasmic reticulum, high-mannose forms of N-linked are attached to the Asn; the high-mannose are usually modified to complex-type N-glycans during subsequent trafficking though the Golgi apparatus (Fig. 1). Because of steric constraints that limit the activities of endoplasmic reticulum and Golgi carbohydrate-processing enzymes, the HIV-1 Env glycoprotein includes regions of under-processed N-glycans in oligomannose forms (Man5–9GlcNAc2), especially in the intrinsic mannose patch on gp120, which forms portions of the epitopes for many characterized HIV-1 broadly neutralizing antibodies (bNAbs; Doores, 2015). Although oligomannose dominate parts of HIV-1 Env such as the N332gp120 glycan-associated region on gp120, processed complex-type N-glycans predominate at N-linked glycosylation sites on gp41 and gp41-proximal regions of gp120 (Behrens et al., 2016) and are thought to protect the host receptor (CD4) binding site (CD4bs) and the V3 loop of gp120 (Binley et al., 2010).
Viral et al., 1998). Structural studies of bNAbs bound to HIV Env trimers revealed mechanisms by which bNAbs targeting various epitopes penetrate the glycan shield to either accommodate or include N-glycans in their epitopes (Julien et al., 2013; Pancera et al., 2014; Scharf et al., 2015; Garces et al., 2015; Lee et al., 2015, 2016; Stewart-Jones et al., 2016). However, because heterogeneous glycosylation generally prevents the formation of well ordered crystals, all HIV Env crystal structures had been solved using produced in exclusively high-mannose forms (Diskin et al., 2011, 2013; Kwon et al., 2015; Garces et al., 2015; Julien et al., 2013; Kong et al., 2015; Pancera et al., 2014; Scharf et al., 2014, 2015; Stewart-Jones et al., 2016; Zhou et al., 2010, 2013, 2015; Kwong et al., 1998). Therefore, little was known about the structure of the native HIV-1 Env glycan shield that includes both complex-type and oligomannose N-glycans, and the natively glycosylated epitopes of important HIV-1 bNAb classes, such as Asn332gp120 glycan/V3 loop and CD4bs bNAbs, remained incompletely characterized. We recently described crystal structures of a natively glycosylated Env trimer bound to two HIV-1 bNAbs (10-1074 and IOMA), which recognize the gp120 V3 loop and CD4bs, respectively (Gristick et al., 2016). Analysis of the native glycan shield on HIV-1 Env allowed the first full description of the interplay between heterogeneous untrimmed high-mannose and complex-type N-glycans within the CD4bs, V3-loop and other epitopes on Env, revealing antibody-vulnerable glycan holes and roles of complex-type N-glycans on Env that are relevant to vaccine design. Here, we describe the crystallographic of N-glycans in these structures in more detail and compare them with lower resolution cryo-EM structures of natively glycosylated HIV-1 Env.
are generally non-immunogenic because they are assembled by host cell machinery; thus, the decorating the surface of HIV Env constitute a `glycan shield' that reduces access to underlying protein epitopes (Kwong2. Crystal structures of natively glycosylated Env trimer–Fab complexes
Apart from two exceptions (Scharf et al., 2015; Stewart-Jones et al., 2016), previous HIV Env trimer crystal structures used proteins produced in cells that attached only high-mannose-type N-glycans (Julien et al., 2013; Pancera et al., 2014; Scharf et al., 2015; Garces et al., 2015; Stewart-Jones et al., 2016) that were then further enzymatically trimmed to reduce the to single N-acetylglucosamines (GlcNAcs) at accessible PNGSs. Our crystals were obtained from a natively glycosylated Env trimer (BG505 SOSIP.664; Sanders et al., 2013) that was prepared from human embryonic kidney cells (HEK 293 6E cells) that attached both complex-type and high-mannose N-glycans. The Env trimer was complexed with Fabs from the CD4bs bNAb IOMA and from 10-1074, a V3 loop/N332gp120 glycan-directed bNAb (Mouquet et al., 2012). We solved independent IOMA–10-1074–BG505 complex structures at resolutions of 3.5 Å (PDB entry 5t3z) and 3.9 Å (PDB entry 5t3x) using BG505 protein prepared from different fractions (Gristick et al., 2016). These structures revealed an Env trimer bound to three 10-1074 and three IOMA Fabs (Fig. 2). 19 N-glycans (one GlcNAc up to complex-type tetra-antennary) were visible per gp120–gp41 protomer, forming glycan architectures extending ∼30 Å from the trimer surface.
3. Glycan interpretation and refinement
The overall glycan geometry was validated using programs including PDB CArbohydrate REsidue check (pdb-care; https://www.glycosciences.de/tools/pdb-care/), CArbohydrate Ramachandran Plot (carp; https://www.glycosciences.de/tools/carp/) and Privateer (Agirre et al., 2015; Agirre, 2017). were built into the initial models for the 3.9 and 3.5 Å resolution IOMA–10-1074–BG505 crystal structures using 2Fo − Fc maps calculated with model phases and using composite-annealed OMIT maps calculated with phases from which the model was omitted (Adams et al., 2010). Well characterized known to exist in a homogeneous population (e.g. N332gp120) were modeled using structural information from published BG505 trimer structures. at these positions were examined for correct geometry and then merged into the appropriate position in our models. Once imported, these were then manually fitted into our density in Coot (Emsley et al., 2010).
For de novo modeling into the initial electron-density maps using the carbohydrate-building module in Coot. Owing to a lack of heavily glycosylated protein structures in the PDB, the majority of glycosylation sites were modeled in this way. Modeling was performed one glycosylation site at a time followed by in PHENIX (Adams et al., 2010) using torsion restraints to prevent the from puckering and adopting an incorrect conformation. This was carried out until were modeled into all of the visible density within the glycosylation sites.
lacking previous structural information, we performedFollowing multiple rounds of building and Privateer within the CCP4 suite (Agirre et al., 2015). As demonstrated, even with torsion restraints present during in PHENIX, our fully glycosylated initial model contained numerous with incorrect geometries and conformations (Fig. 3, left panel). Analysis with Privateer generated a new file containing updated restraints for each glycan type present in our structure. This file proved to be better at maintaining the correct glycan geometries and conformations when used in place of the default PHENIX restraints during subsequent refinements, which along with iterative manual modeling corrected the glycan geometries as seen in the final deposited model, PDB entry 5t3x (Fig. 3, right panel).
the glycan geometry was examined usingThe initial unbiased maps, calculated using a model lacking gp120 and N276gp120, contained weaker density present in the initial electron-density maps that became more apparent after subsequent building and (Fig. 4, first and second rows). In contrast, PNGSs containing homogenous populations of such as N332gp120 and N386gp120, had clear density that remained unchanged during (Fig. 4, third and fourth rows). Therefore, less defined maps at PNGSs can be indicative of the presence of complex N-glycans since these are generally heterogeneous.
displayed clear density for 19 However, the nature and extent of this density varied greatly between each PNGS. PNGSs containing heterogenous populations of such as N156et al., 2016; Go et al., 2011). A core fucose was sometimes visible in one structure but not in the other. at some individual PNGSs were therefore interpreted with different compositions in the two structures; this type of heterogeneity is consistent with multiple glycoforms at single PNGSs in preparations of the BG505 SOSIP.664 protein (Behrens et al., 2016).
could sometimes be assigned at individual PNGSs as complex-type or high mannose by the presence of a core fucose ring that is found in complex-type, but not in high-mannose, N-glycans. The 3.9 Å resolution structure generally showed more density for individual BG505 N-glycans than the 3.5 Å resolution structure, consistent with the presence of larger, more branching complex N-glycan architectures in the 3.9 Å resolution structure. were assigned as complex-type if there was density for a core fucose and/or based on mass-spectrometry assignments (BehrensAlthough the composite-annealed OMIT maps displayed additional density near PNGSs compared with the maps calculated with model phases, some of the extra densities were not interpretable. Therefore, glycan residues were not built into these regions so as to avoid overfitting owing to a lack of supporting information (for example mass spectrometry). In contrast to the presence of these larger, branching e.g. for the N301gp120 glycan a core fucose was not ordered in our maps, but the N301gp120 glycan was modeled as complex-type in our structures based on mass-spectrometric data (Go et al., 2011). As expected given the large degree of glycan heterogeneity in HIV-1 Env (Doores, 2015), the glycan density was sometimes ambiguous. Consistent with the notion that uninterpretable glycan density results from sample heterogeneity rather than from problems, we found unambiguous density at positions that should be homogenous, e.g. at N332gp120, a high-mannose-only site (Behrens et al., 2016), whereas sites predicted to be more heterogeneous, such as N156gp120 (Behrens et al., 2016; Go et al., 2011), exhibited some uninterpretable heterogeneous electron density. Although the relatively low resolution of our crystal structures and heterogeneous glycosylation compounded inherent difficulties in making unambiguous glycan assignments, we built coordinates into very extensive densities (e.g. a complex glycan attached to Asn276gp120), even if the exact structure of the glycan was uncertain, to demonstrate the extent of glycosylation at each PNGS. Additional confidence in electron-density interpretation was provided by comparing the independently refined 3.9 Å and 3.5 Å resolution IOMA–10-1074–BG505 structures. Although the refined glycan B factors in the final models are higher than in other published glycosylated Env structures, our structures are not only the most extensively glycosylated, but also represent the only complexes containing complex-type N-glycans. Thus, the higher B factors are most likely to be a reflection of the degree of glycosylation and the increased heterogeneity owing to the presence of complex-type glycans.
some were only partially ordered. Thus, a complex-type glycan could appear to be a small high-mannose glycan in our electron-density maps if the core fucose and residues beyond the core pentasaccharide were disordered, since this portion of an N-glycan is common to both high-mannose and complex-type N-glycans. In other cases, the interpretation of our electron-density maps was partially based on supporting experimental data:4. in cryo-EM maps
We recently solved single-particle cryo-EM structures of the Env trimer in order to visualize Env conformations that do not readily form well ordered crystals. One structure, reconstructed at 8.9 Å resolution, was of a complex between the Env trimer, the host receptor CD4 and Fabs from two different antibodies (Wang et al., 2016). A second structure at 6.2 Å resolution was an asymmetric complex of the Env trimer bound to two, rather than three, apex-binding bNAb Fabs (Wang et al., 2017). Density for ordered N-glycans at some PNGSs was visible in both maps, and coordinates for ordered N-linked from our natively glycosylated Env trimer structure (Gristick et al., 2016) were fitted separately as rigid bodies at PNGSs at which EM density was apparent, and geometric restraints for N-glycans were generated using Privateer (Agirre et al., 2015). Fig. 5 compares N-linked glycan densities in the 8.9 and 6.2 Å resolution maps.
5. Conclusions
Glycoprotein crystallography has generally been limited to proteins with relatively low levels of N-linked et al., 2013; Pancera et al., 2014; Scharf et al., 2015; Garces et al., 2015; Stewart-Jones et al., 2016). However, we recently showed that it is possible to obtain crystal structures of fully and natively glycosylated HIV-1 Env trimers despite using trimers containing both complex-type and high-mannose (Gristick et al., 2016). In this case, crystallization was facilitated by adding antibody Fab fragments, which formed the (Gristick et al., 2016), suggesting that other heavily glycosylated proteins might be crystallized without glycan trimming by adding nonglycosylated binding partners. The heavy and heterogeneous glycosylation of the Env trimer in our structures resulted in challenges for crystallographic that are described in more detail here than in our original publication (Gristick et al., 2016).
for decades. Indeed, the unwritten (but discussed at conferences) rule of thumb used to be that if your protein contained more than one PNGS per 100 amino acids, you would need to either remove selected PNGSs, use enzymatic deglycosylation, produce a high-mannose form of the protein or perform all three in order to obtain well ordered crystals. The HIV-1 Env trimer was regarded as a difficult target for crystallization, as depending on the viral strain it contains 30 ± 3 PNGSs per subunit. Thus, the first crystal structures of the HIV-1 Env trimer were derived from proteins produced in high-mannose-only forms that were usually further deglycosylated (JulienUnlike et al., 2016, 2017) were solved at low resolutions (6.2 and 8.9 Å), precluding the interpretation of glycan conformations. However, densities for N-glycans were apparent and we were able to use glycan coordinates from our higher resolution crystal structures to interpret the lower resolution density maps.
by X-ray crystallography, single-particle cryo-EM can be used for structures of natively glycosylated proteins, no matter how heavily glycosylated. Our cryo-EM structures of the natively glycosylated Env trimer (WangWhile these structures represent important steps towards furthering our understanding of how antibodies interact with complex-type
advances in sample preparation, crystal handling and/or data collection are required to further increase the resolution (<3.0 Å) of structures containing complex-type A wealth of information about N-glycan geometry and interactions with other proteins awaits the solution of these technical problems.Acknowledgements
We thank Christopher O. Barnes for careful proofreading and useful discussions while writing the manuscript. We also thank the beamline staff at Stanford Synchrotron Radiation Lightsource (SSRL) and Jens Kaiser and the Molecular Observatory at Caltech for assistance with data processing, Zhiheng Yu, Chuan Hong and Rick Huang (Janelia Farm) for assistance with cryo-EM data collection and motion correction, and Alasdair McDowall and Songye Chen for training in cryo-EM techniques and data processing.
Funding information
This research was supported by National Institutes of Health Grant 2 P50 GM082545-06 (to PJB) and National Institute Of Allergy and Infectious Diseases of the National Institutes of Health Grant HIVRAD P01 AI100148 (to PJB).
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