Literature DB >> 25254371

Ontogeny of recognition specificity and functionality for the broadly neutralizing anti-HIV antibody 4E10.

Kathryn A K Finton1, Della Friend1, James Jaffe1, Mesfin Gewe1, Margaret A Holmes1, H Benjamin Larman2, Andrew Stuart3, Kevin Larimore4, Philip D Greenberg5, Stephen J Elledge2, Leonidas Stamatatos6, Roland K Strong1.   

Abstract

The process of antibody ontogeny typically improves affinity, on-rate, and thermostability, narrows polyspecificity, and rigidifies the combining site to the conformer optimal for binding from the broader ensemble accessible to the precursor. However, many broadly-neutralizing anti-HIV antibodies incorporate unusual structural elements and recognition specificities or properties that often lead to autoreactivity. The ontogeny of 4E10, an autoreactive antibody with unexpected combining site flexibility, was delineated through structural and biophysical comparisons of the mature antibody with multiple potential precursors. 4E10 gained affinity primarily by off-rate enhancement through a small number of mutations to a highly conserved recognition surface. Controverting the conventional paradigm, the combining site gained flexibility and autoreactivity during ontogeny, while losing thermostability, though polyspecificity was unaffected. Details of the recognition mechanism, including inferred global effects due to 4E10 binding, suggest that neutralization by 4E10 may involve mechanisms beyond simply binding, also requiring the ability of the antibody to induce conformational changes distant from its binding site. 4E10 is, therefore, unlikely to be re-elicited by conventional vaccination strategies.

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Year:  2014        PMID: 25254371      PMCID: PMC4177983          DOI: 10.1371/journal.ppat.1004403

Source DB:  PubMed          Journal:  PLoS Pathog        ISSN: 1553-7366            Impact factor:   6.823


Introduction

An effective HIV vaccine will likely need to elicit broadly-neutralizing antibodies (bnAbs) that target the viral envelope protein (Env) as part of a protective immune response [1]–[6]. Env-derived and reverse-engineered immunogen-based vaccines, however, have consistently failed to elicit bnAbs. Possible explanations include that: (1) immunogens may be unable to bind germline-encoded precursors (GEPs) of bnAbs with sufficient affinity to initiate B cell activation and affinity maturation, which has a ∼micromolar threshold [7]–[9]; (2) rearranged VH and VL genes compatible with the development of bnAbs may not be common in human or animal model vaccinee GEP repertoires; (3) some bnAbs are autoreactive, which hinders their elicitation through self-tolerance mechanisms; (4) the unusual characteristics inherent to bnAbs, such as long complementarity determining regions (CDRs), functionally-required polyspecificity, and a high degree of somatic mutation (typically observed in Abs elicited in response to chronic infections, including bnAbs), may not be easily achieved through conventional vaccination strategies; (5) imperfect immunogens may elicit off-target (non-neutralizing or non-Env) or humoral responses with limited breadth; and, finally, (6) neutralization mechanisms may involve complexities beyond simply binding a particular epitope on Env (e.g., inducing specific conformational changes), which may be difficult to recapitulate, since selective expansion of particular B cell clones is based solely on BCR binding properties, not higher-order functionalities [10], [11]. The bnAb 4E10, the focus of our studies, has a conserved, linear epitope (core epitope: 671NWFD/NIT676) immediately adjacent to the viral membrane in the Env gp41 subunit membrane proximal external region (MPER) [12], [13]. While 4E10 displays admirable breadth [14], has been the target of a successful design effort to reverse-engineer tight-binding immunogens [15], has recognizable GEPs present at finite frequencies in human naïve repertoires [16], and arguably does not require a high degree of polyspecificity to neutralize HIV [17], [18], its viability as a vaccine target is hampered by limited potency, demonstrated autoreactivity and exceptional combining site flexibility [17], [19], [20]. The neutralization mechanism of 4E10 also has not been clearly defined and may involve higher order effects [17], [21], [22]. The ontogeny of 4E10, therefore, must be elucidated in order to understand how these properties were acquired and to what degree they impose constraints that might hinder re-elicitation by vaccination. Mutations acquired during Ab maturation occur preferentially in the CDRs, which make up the six loops (CDRs 1, 2, and 3 on the heavy (HCDRs) and light (LCDRs) chains) comprising the combining site [23], [24]. CDRs are responsible for the majority of direct contacts to an antigen, as opposed to the intervening framework regions (FWRs), which form the immunoglobulin β-sheet structure stabilizing the combining site, helping define CDR loop conformations. While CDR mutations are typically thought to more directly affect antigen binding and neutralization, bnAbs consistently depend on FWR substitutions to a surprising degree, though 4E10 is an exception to this exception [4]. bnAbs are notorious for their high degree of somatic hypermutation, the product of a long process of affinity maturation against a rapidly mutating virus during a persistent, chronic infection [25]. While typical affinity-matured Abs have acquired 15 to 20 VH mutations, bnAbs accumulate up to 100 VH mutations [4]. These mutations are crucial because reversion to germline sequences drastically reduces epitope affinity and neutralization potency and breadth. In many cases, bnAb GEPs are unable to bind Env, though the actual eliciting isolate may not be known [26]–[31]. In addition, bnAbs can contain extraordinarily long HCDR3s, up to 33 residues long versus an average of 13 for non-HIV bnAbs [32], [33]. Using phylogenetically-inferred GEP sequences [16], [34] ( ), 4E10 has acquired between 33 and 35 mutations during maturation, 20 to 22 in VH, depending on gene segment selection, and 13 in VL, and has an HCDR3 22 residues long, values at the less exceptional end of the bnAb spectrum and not unheard of for conventional Abs.
Figure 1

Prediction of an ensemble of 4E10 GEPs.

Sequences of 4E10 VL (top line) and VH (bottom two lines) domains are shown, with CDRs indicated by a blue overscore. Predicted somatic mutations are colored red in the 4E10 sequence, and the corresponding unmutated GEP residues are shown below in grey (unchanged positions are not shown for clarity). All GEP VL domains are comprised of the IGKV3-20*01/IGKJ1*01 gene segment combination. Each GEP VH domain comprises the IGHV1-69*06 V gene segment plus one of six D gene segments (listed to the left of the corresponding GEP in the blue boxed field), and either the IGHJ4*02 (resulting sequence differences shown in purple and bolded) or IGHJ1*01 (resulting sequence difference shown in blue and bolded) gene segment, yielding an ensemble of 12 GEPs in toto. GEP shorthand numbering is shown in grey (GEPs 1 to 6) and blue (GEPs 7 to 12) beside the corresponding D plus J gene segment combination sequence differences from 4E10, occurring in HCDR3. Inset (lower right): HCDR3 sequences from candidate 4E10 GEPs, determined through deep sequencing of naïve B cell germline IgH genes from four uninfected individuals [16], show the degree of variability seen in potential 4E10 precursors present in naïve repertoires. Each germline rearrangement uses the IGHV1-69 and IGJH1 or IGJH4 gene segments. Amino acids in red designate sequence differences between GEP and 4E10. The number of nucleotide changes needed to achieve these somatic mutations is 16 for donor 1, 17 for donor 2 and 18 for donors 3 and 4.

Prediction of an ensemble of 4E10 GEPs.

Sequences of 4E10 VL (top line) and VH (bottom two lines) domains are shown, with CDRs indicated by a blue overscore. Predicted somatic mutations are colored red in the 4E10 sequence, and the corresponding unmutated GEP residues are shown below in grey (unchanged positions are not shown for clarity). All GEP VL domains are comprised of the IGKV3-20*01/IGKJ1*01 gene segment combination. Each GEP VH domain comprises the IGHV1-69*06 V gene segment plus one of six D gene segments (listed to the left of the corresponding GEP in the blue boxed field), and either the IGHJ4*02 (resulting sequence differences shown in purple and bolded) or IGHJ1*01 (resulting sequence difference shown in blue and bolded) gene segment, yielding an ensemble of 12 GEPs in toto. GEP shorthand numbering is shown in grey (GEPs 1 to 6) and blue (GEPs 7 to 12) beside the corresponding D plus J gene segment combination sequence differences from 4E10, occurring in HCDR3. Inset (lower right): HCDR3 sequences from candidate 4E10 GEPs, determined through deep sequencing of naïve B cell germline IgH genes from four uninfected individuals [16], show the degree of variability seen in potential 4E10 precursors present in naïve repertoires. Each germline rearrangement uses the IGHV1-69 and IGJH1 or IGJH4 gene segments. Amino acids in red designate sequence differences between GEP and 4E10. The number of nucleotide changes needed to achieve these somatic mutations is 16 for donor 1, 17 for donor 2 and 18 for donors 3 and 4. Affinity-matured Abs display univalent equilibrium binding constants (K D) for their cognate antigens, typically ranging from 10−6 to 10−10 M, that are orders-of-magnitude stronger than their GEPs [35]. Multiple approaches, including computational analyses and biophysical comparisons of affinity-matured Abs and their associated GEPs, have generated a consensus model for the molecular mechanism of affinity maturation [36]–[47], perhaps better understood as binding optimization, that traces its roots back to Pauling [48]. In the consensus model, the antigen specificities of the naïve, germline-encoded repertoire, while diverse and extensive, are further extended by encoding a high degree of polyspecificity into GEPs. This is accomplished partly through increased combining site plasticity in GEPs, more formally stated as the ability of GEP CDRs to dynamically sample a broader ensemble of structural conformers. In response to immunogen stimulation, Ab binding properties are iteratively optimized through cycles of somatic hypermutation and selection, resulting in improved binding affinities, kinetics and thermodynamics. While mutations have been observed to improve or add direct contacts to antigen, typically improving enthalpies of interaction and off-rates (k d), a majority of measurably favorable mutations do not directly contact antigen. These mutations indirectly optimize binding by: (1) increasing shape complementarity between paratopes and epitopes through more global effects on structure; (2) increasing antibody stability, typically measured as solution thermostabilities (Tm), thus compensating for deleterious effects of other mutations that improve affinity; and (3) structurally rigidifying the combining site conformer optimal for binding antigen from the accessible ensemble. Rigidifying the combining site can affect measured interaction parameters in different ways depending on the mechanism of binding. The two mechanistic extremes are known as “conformer-selection” and “instructive-encounter”, or “induced-fit”, binding. In conformer-selection mode, binding does not occur until the compatible conformer is adopted. Rigidification of the binding site through mutation then typically improves entropies of interaction and on-rates (k a). In instructive-encounter mode, initial binding occurs to sub-optimal conformers which affects the rate of interchange with the optimal conformer. Rigidification of the binding site through mutation then typically improves affinity through changes distributed over k d and k a. However, the consensus of studies of binding proteins and enzymes suggests that conformer selection is the preeminent recognition mechanism [49]. Surprisingly, comparisons of the bound and unbound structures of 4E10 revealed that this affinity-matured bnAb incorporates considerable HCDR conformational flexibility [17], in excess of what has been observed in most other antibodies, mature or GEP, suggesting that the ontogeny of 4E10 may be an exception to the consensus model and may pose unique challenges as a vaccine target. In order to fully understand the ontogeny of this unique bnAb and consequences for vaccine development, we characterized the unbound and complex crystal structures, and the functional and binding properties, of 4E10 and an ensemble of its most likely GEPs. GEPs showed detectable, but extremely weak, binding to soluble Env gp140s and extremely limited neutralization potency, though some reverse engineered epitope-scaffolds (ESs) showed robust GEP affinities, well above the B cell activation threshold. 4E10 and GEP paratopes displayed a remarkable degree of structural conservation in the antigen-bound state, with little improvement in overall shape complementarity. Multi-log improvements in affinity for ESs were the result of improved off-rates or combined improvements in on- and off-rates, with a small number of enhanced contacts to antigen observed in the crystal structures. However, minimal mutations of GEP sequences to include these enhanced direct contacts only marginally increases affinity. FWR mutations had little discernable effect on global or local structure. Controverting the consensus model of ontogeny, 4E10 thermostability was appreciably worse than its GEPs; while 4E10 and GEPs displayed similarly constrained VH/VL interdomain movements upon binding, 4E10 maturation involved negligible combining site rigidification, with both 4E10 and GEP HCDRs sampling extensive conformer ensembles. The narrowing of polyspecificity assumed to concur with maturation was not observed with 4E10, as both 4E10 and its GEPs showed similar patterns of limited polyspecificity to a phage-displayed human peptidome (Phage Immunoprecipitation Sequencing; PhIP-Seq) [50]. While 4E10 is demonstrably autoreactive, GEPs exhibited a distinct profile of autoantigen recognition by PhIP-Seq. When combined, these results inform efforts to re-elicit 4E10 by vaccination and its mechanism of neutralization.

Results

Prediction of an ensemble of likeliest GEP sequences

Lacking access to the original donor, identification of a single GEP sequence with high confidence for many bnAbs, including 4E10, is complicated by extensive editing and TdT N-nucleotide insertion during rearrangement [26], leading to our decision to study an ensemble of the 12 likeliest candidates ( ). Due to the prediction that the sequence differences introduced by alternate heavy chain J gene segments may not affect any discernable GEP property, the initial ensemble was limited to eight GEPs (IGHJ4*02 paired with all six D segments plus IGHJ1*01 paired with IGHD1-1*01 and IGHD6-19*01), with the intention of generating additional GEPs if the IGHJ4*02/IGHJ1*01 substitution exhibited any differences in structure or binding properties on the IGHD1-1*01 or IGHD6-19*01 backgrounds. These eight GEPs also recapitulated some of the variability seen in potential 4E10 GEPs identified by deep sequencing of uninfected individuals ( ) [16], providing an additional justification for studying the ensemble. However, GEPs in our ensemble differed from one another by no more than four mutations, though the mutations were quite non-conservative.

GEP protein production and validation

GEPs were engineered as cleavable, single-chain, variable domain cassette (Fv; VH+VL) constructs to ease expression, analysis, and crystallization and to prevent monobody-diabody interchange, following protocols developed for 4E10 [18]. The prior study confirmed that these Fv constructs retained the structural and binding properties of Fab fragments of intact 4E10. All eight GEP Fvs expressed at high levels as bacterial inclusion bodies and, in all but one case (GEP 5), were refolded in vitro with what in our experience were exceptionally high efficiencies of 20 to 40%. GEP 5 was not included in subsequent experiments because its extremely poor in vitro refolding efficiency suggested that this was not a viable pairing. GEP constructs were stable and monodisperse in solution, running exclusively as monomers by size exclusion chromatography (SEC). Reduced/non-reduced PAGE analysis of GEPs confirmed purity and proper disulfide bond formation. GEP Tm values ( ), determined by circular dichroism (CD) spectroscopy as previously described [18], narrowly ranged from 64.2°C to 67.0°C, showing that GEP Fvs were well folded, but had even higher Tm values than 4E10 Fv (52.8°C).
Figure 2

Biophysical and functional characterization of an ensemble of 4E10 GEPs.

(A) CD melting curves are shown for 4E10 and GEPs with Tm values, determined as the inflection point of the sigmoidal melting curve, indicated by a black line (4E10) or a shaded grey box (GEPs). (B) Neutralization potencies are shown for 4E10 IgG (0.2 µM), 4E10 Fv and GEPs (1 µM) against clade A (Q461.d1, Q461.e2) and B (SF162) HIV-1 isolates using standard TZM-bl assays. (C) Double-referenced SPR sensorgrams are shown for the binding of 4E10 and GEPs (300 nM duplicates) interacting with chip-coupled gp1403. (D) K Ds for the interaction of 4E10 or GEPs with ES T117 are plotted as k a vs. k d, with K D isotherms indicated by dashed lines and labeled. Due to weak binding and fast kinetics, K Ds between GEPs and the T72, T344, and T93 ESs could only be analyzed by equilibrium measurements; their values range from 1 to 10 µM, falling within the grey shaded region. The purple triangles show the T117 affinity shift between 4E10 and GEPs, with the sides parallel to the X and Y axes of each triangle highlighting the association and dissociation rate components, respectively.

Biophysical and functional characterization of an ensemble of 4E10 GEPs.

(A) CD melting curves are shown for 4E10 and GEPs with Tm values, determined as the inflection point of the sigmoidal melting curve, indicated by a black line (4E10) or a shaded grey box (GEPs). (B) Neutralization potencies are shown for 4E10 IgG (0.2 µM), 4E10 Fv and GEPs (1 µM) against clade A (Q461.d1, Q461.e2) and B (SF162) HIV-1 isolates using standard TZM-bl assays. (C) Double-referenced SPR sensorgrams are shown for the binding of 4E10 and GEPs (300 nM duplicates) interacting with chip-coupled gp1403. (D) K Ds for the interaction of 4E10 or GEPs with ES T117 are plotted as k a vs. k d, with K D isotherms indicated by dashed lines and labeled. Due to weak binding and fast kinetics, K Ds between GEPs and the T72, T344, and T93 ESs could only be analyzed by equilibrium measurements; their values range from 1 to 10 µM, falling within the grey shaded region. The purple triangles show the T117 affinity shift between 4E10 and GEPs, with the sides parallel to the X and Y axes of each triangle highlighting the association and dissociation rate components, respectively.

GEP neutralization potencies were dramatically reduced

The neutralization potency of GEPs was tested against clade A (Q461.d1, Q461.e2 [51]) and B (SF162 [52]) HIV-1 isolates using standard TZM-bl assays ( ) [53]. Overall, GEP Fv potencies were markedly reduced in comparison with 4E10 Fv. GEPs displayed only very weak and likely insignificant neutralization potencies, though with a trend of greater effect against the clade A isolates, particularly the neutralization-sensitive strain Q461.d1, and with GEP 1 and GEP 7 showing marginally better potencies across tested isolates.

GEPs bound Env proteins and engineered antigens, but with reduced affinities

In order to characterize the change in binding properties during 4E10 ontogeny, the binding of 4E10 and GEP Fvs to three (SF162, SF162K160N and Q461.e2) soluble Env gp140 trimers (gp1403) [54] and four engineered 4E10 ES immunogens (T72, T93, T117 and T344) [15], [55] was evaluated by surface plasmon resonance (SPR) interaction analysis ( , – , ). Isolates and ESs were selected to span a range of binding properties, where previous studies had shown 4E10 bound a free peptide spanning its linear epitope with a K D of 12 nM, SF162 gp1403 with a K D of 98 nM, and ESs with K Ds of either ≤10 picomolar (T117) or ∼100 picomolar (T72, T93 and T344) [15],[18],[55]. All seven GEPs showed unquantifiably weak, but detectable binding to chip-coupled clade A (Q461.e2) and clade B (SF162, SF162K160N) gp1403 and T72, T93, and T344 in qualitative SPR analyses, with K Ds all estimated to be well above the ∼micromolar B cell activation threshold. Quantitative SPR analyses of GEPs binding to T117 showed K Ds ranging from the low nanomolar to low micromolar range. 4E10 interactions with ESs ranged from 100- to 10,000-fold stronger than GEPs, which was qualitatively consistent with the observed difference in 4E10 versus GEP interactions with gp1403. Since the GEP/gp1403 interactions were too weak to quantitate, peptide binding studies were not performed on the expectation that they would also be too weak to measure accurately. Five GEPs (1, 2, 3, 7 and 8) bind T117 with nearly identical behavior, including GEP 1 and GEP 7, which differ only by alternate J segment utilization, showing that the two incorporated mutations did not affect binding, so no further IGHJ1*01 GEPs were produced for study. GEP 4 and GEP 6, which both incorporate differences from G96H in 4E10 (A or V), showed approximately 10-fold (GEP 4) or 100-fold (GEP 6) reductions in affinity relative to the cluster of other GEPs. Kinetically, the five clustering GEPs (1, 2, 3, 7 and 8) showed affinity reductions for T117 relative to 4E10 overwhelmingly through faster off-rates (k ds). GEPs 4 and 6, in addition to comparable increases in k d, also showed progressive reductions in on-rates (k as).
Figure 3

SPR sensorgrams of the interactions between 4E10 and the indicated ESs are shown.

Time (in seconds) is plotted on the x-axis and SPR response (in RUs) is plotted on the y-axis. Double-referenced binding data are shown in black with corresponding kinetics fits to the data shown in red. Details of the experiments are given in Table 1.

Figure 7

SPR sensorgrams of the interactions between ES T344 and the indicated GEPs (left plots) and the analysis of equilibrium responses versus concentration (right plots).

Details of the experiments are given in Table 1.

Table 1

SPR methods and results.

LigandAnalyteResults
(RU)Concentration RangeInjection Time (s)Dissociation Time (s)Regeneration k a (M−1s−1) k d (s−1) K D (M)
T117 129 4E10 10 - 0.625 nM420180 or 72002×10 s, pH 1.59.35(2)×105 2.65(1)×10−5 2.83(1)×10−11
T117 129 GEP 1 50 - 3.12 nM4206005 s, pH 1.54.56(2)×105 1.80(1)×10−3 3.96(2)×10−9
T117 183 GEP 2 50 - 1.56 nM4206005 s, pH 2.05.90(1)×105 1.52(1)×10−3 2.57(1)×10−9
T117 86 GEP 3 50 - 0.78 nM4206005 s, pH 1.755.43(1)×105 1.56(1)×10−3 2.88(1)×10−9
T117 129 GEP 4 400 - 12.5 nM4206005 s, pH 1.56.90(4)×104 1.54(1)×10−3 2.23(1)×10−8
T117 129 GEP 6 20 - 0.625 µM180300none5.61(3)×103 2.58(1)×10−3 4.60(3)×10−7
T117 183 GEP 7 25 - 1.56 nM4206005 s, pH 2.06.31(2)×105 1.30(1)×10−3 2.06(1)×10−9
T117 86 GEP 8 25 - 1.56 nM4206005 s, pH 1.759.18(2)×105 1.63(1)×10−3 1.78(1)×10−9
T117 122 GEP 1 m 25 - 0.78 nM4206002×10 s, pH 1.55.33(1)×105 7.47(1)×10−4 1.40(1)×10−9
T72 30 4E10 10 - 0.312 nM42080010 s, pH 1.51.54(1)×106 3.36(1)×10−4 2.19(1)×10−10
T72 30 GEP 1 45 - 0.088 µM120180none1.4(1)×10−6
T72 53 GEP 2 9.5 - 0.149 µM120180none1.25(6)×10−6
T72 53 GEP 3 10 - 0.078 µM120180none1.78(4)×10−6
T72 53 GEP 4 20 - 0.625 µM30030010 s, pH 1.57.9(5)×10−6
T72 30 GEP 6 1 µM120180none None detected
T72 30 GEP 7 17 - 0.066 µM120180none1.34(5)×10−6
T72 53 GEP 8 20 - 0.156 µM120180none1.26(6)×10−6
T93 49 4E10 10 - 0.625 nM42080010 s, pH 1.58.22(1)×105 4.21(1)×10−4 5.13(1)×10−10
T93 75 GEP 1 50 - 0.098 µM120180none9.3(1)×10−6
T93 49 GEP 2 50 - 0.098 µM120180none5.1(7)×10−6
T93 27 GEP 3 10 - 0.156 µM120180none2.2(1)×10−6
T93 27 GEP 4 20 - 0.625 µM30030010 s, pH 1.5 None detected
T93 75 GEP 6 1 µM120180none None detected
T93 75 GEP 7 25 - 0.098 µM120180none5.23(6)×10−6
T93 27 GEP 8 20 - 0.156 µM120180none3.1(3)×10−6
T344 28 4E10 10 - 0.625 nM42080010 s, pH 1.51.08(1)×106 3.67(1)×10−4 3.41(1)×10−10
T344 28 GEP 1 43 - 0.084 µM120180none6.4(6)×10−6
T344 28 GEP 2 50 - 0.098 µM120180none8(1)×10−6
T344 35 GEP 3 20 - 0.156 µM120180none4.8(3)×10−6
T344 35 GEP 4 20 - 0.625 µM30030010 s, pH 1.5 None detected
T344 35 GEP 7 20 - 0.156 µM120180none5.7(4)×10−6
T344 35 GEP 8 20 - 0.156 µM120180none5.2(4)×10−6

SPR sensorgrams of the interactions between 4E10 and the indicated ESs are shown.

Time (in seconds) is plotted on the x-axis and SPR response (in RUs) is plotted on the y-axis. Double-referenced binding data are shown in black with corresponding kinetics fits to the data shown in red. Details of the experiments are given in Table 1.

SPR sensorgrams of the interactions between ES T72 and the indicated GEPs (left plots) and the analysis of equilibrium responses versus concentration (right plots).

Details of the experiments are given in Table 1.

SPR sensorgrams of the interactions between ES T93 and the indicated GEPs (left plots) and the analysis of equilibrium responses versus concentration (right plots).

Details of the experiments are given in Table 1.

SPR sensorgrams of the interactions between ES T117 and the indicated GEPs are shown.

Binding data are shown in black with the kinetic fits to the data shown in red. Details of the experiments are given in Table 1.

SPR sensorgrams of the interactions between ES T344 and the indicated GEPs (left plots) and the analysis of equilibrium responses versus concentration (right plots).

Details of the experiments are given in Table 1.

4E10- and GEP-ES complex structures show binding site conservation

In order to shed light on potential structural differences accounting for reduced GEP binding affinities, crystal structures of GEP 1, 2 and 7 in complex with T117 were determined at resolution values of 2.9 Å, 1.8 Å, and 3.1 Å respectively, rebuilt and refined with good statistics ( ), and compared to two reference 4E10/antigen complex structures: 4E10 bound to an epitope peptide (2FX7.pdb [12]) or a related ES, T88 (3LH2.pdb [15]). Superpositions showed that almost all direct contacts to the core epitope (NWFDIT) and epitope conformation are conserved between 4E10 and GEP complexes to a remarkable degree ( , and ). Only six of the 35 predicted somatic mutations affect sequence positions making direct contacts to the core epitope: Y/K32L, S/Q93L, T/S31H, I/V51H, F/L54H and T/I56H. However, residues at two of these positions (93L, 51H) contacted the epitope solely through main-chain interactions, which were not affected by the mutated side-chains. Replacements at three other positions (31H, 54H, 56H) nearly perfectly recapitulated contacts, also conserving the interface. The 4E10 and GEP paratope/epitope interface is largely hydrophobic, thus binding is mainly mediated by Van der Waals contacts and desolvation entropy, which is conserved through equivalent positioning of nonpolar groups. This was reflected in the close concordance between the surface areas (SA) buried in the complexes by core epitope and the corresponding shape complementarity (Sc) [56] between Ab and core epitope. Only two somatic mutations were predicted to contribute to a stronger binding interaction. The Y/K32L mutation replaces a hydrogen bond involving the tyrosine hydroxyl with a salt bridge. The P/L95H mutation, involving non-contacting residues, restructured LCDR3 to reposition the side-chain of the conserved serine at 94L from a non-contacting position in GEPs to one contributing a hydrogen bond in 4E10 complex structures. However, the Y/K32L-P/L95H double mutation made on a GEP 1 background (GEP 1m) did not affect Tm, only marginally increased affinity by about three-fold, and did not improve neutralization potency ( , and ), arguing that affinity and neutralization are largely influenced by somatic mutations through indirect effects beyond the ability to adopt the optimal binding conformer.
Table 2

Crystallographic data collection and refinement statistics.

GEP 1GEP 1/T117GEP 2/T117GEP 7GEP 7/T1171C6
PDB accession code 4LRN.pdb4M8Q.pdb4M62.pdb4OB54ODX4LCI.pdb
Data collection *
Space group P222 P21 P212121 P212121 P21 P212121
Cell dimensions
a, b, c (Å)35.54, 48.77, 110.772.56, 77.67, 77.8269.88, 103.5, 109.335.54, 48.95, 117.2772.91, 78.00, 78.4044.60, 71.62, 73.23
α, β, γ (°)90, 90, 9090, 112.03, 9090, 90, 9090, 90, 9090, 112.29, 9090, 90, 90
Resolution (Å)50.00-1.90 (1.93-1.90)24.61-2.89 (2.95-2.89)69.88-1.80 (1.86-1.80)50.00-1.70 (1.73-1.70)62.73-3.10 (3.21-3.10)44.60–1.90 (1.97–1.90)
R merge 0.091 (0.434)0.092 (0.428)0.035 (0.149)0.062 (0.232)0.126 (0.421)0.104 (0.255)
II 43.64 (6.46)25.24 (2.82)20.2 (5.00)53.16 (8.63)6.9 (1.9)10.0 (4.1)
Completeness (%)100.0 (100.0)99.6 (97.8)98.0 (91.7)99.9 (100.0)98.6 (97.6)99.4 (95.0)
Redundancy14.1 (14.3)3.5 (3.0)3.4 (2.4)6.7 (6.6)2.9 (2.9)6.6 (4.4)
Refinement
No. reflections15,973 (753)17,070 (861)72,714 (6,712)23,229 (1,127)14,742 (1,437)18024 (1,736)
R work/R free 0.190/0.2330.261/0.3020.189/0.2160.178/0.2070.280/0.3040.179/0.230
No. atoms
Protein1,6435,4266,0521,7645,6871854
Ligand/ion452325
Water106696141166
B-factors (Å2)
Protein25.3459.8519.4126.0956.9428.86
Ligand/ion 42.9732.8144.58
Water33.9027.2635.6136.47
R.m.s. deviations
Bond lengths (Å)0.0040.0040.0030.0140.0040.015
Bond angles (°)0.7650.7330.7081.6360.8651.584
MolProbity score1.191.010.831.341.481.16
Residues in most favored regions (%)95.696.498.397.895.895.7
Res. in disallowed regions (%)000000
Est. coordinate error (max. likelihood ESUc) (Å)0.1080.4280.0790.1130.5550.107

*One crystal was used per data set. Values in parentheses are for the highest-resolution shell.

The ligands identified in structures 4M62, 4OB5, and 4LCI are ordered sulfate ions and/or glycerol molecules. They do not affect the interactions between antigens and antibodies.

Figure 8

The epitope binding site is conserved between 4E10 and its GEPs.

(A) Residues from the combining sites of 4E10 and GEPs, superimposed based on bound-state structures, contacting the NWFDIT core epitope (shown in a cartoon representation as a grey corkscrew) are shown in a stereo view. 4E10 and GEP residues are shown in licorice stick representation and colored as follows: 4E10 Fv (3LH2.pdb, in complex with ES T88) in purple, 4E10 Fab (2FX7.pdb, in complex with an extended 16-mer NWFDIT-containing peptide) in orange, GEP 1 in yellow, GEP 2 in cyan, and GEP 7 in red. Analyses and depictions were restricted to the core epitope to maximize comparability. Calculated SA buried in the complexes and Sc between core epitope and Ab are: 4E10 Fab/epitope peptide: SA = 355 Å2, Sc = 0.78; 4E10/T88: SA = 367 Å2, Sc = 0.77; GEP 1/T117: SA = 342 Å2, Sc = 0.69; GEP 2/T117: SA = 305 Å2, Sc = 0.74; GEP 7/T117: SA = 343 Å2, Sc = 0.66. (B) The NWFDIT core epitope is shown in a licorice stick representation isolated from the superimposed complex structures, highlighting the high degree of conservation of both the position and conformation of the peptide across 4E10 and GEP complexes.

Table 3

Epitope contacts for 4E10 and GEPs determined from complex crystal structures; electrostatic contacts are bolded; otherwise, the contacts are mediated by van der Waals interactions.

NWFDIT epitope4E10 Fab (16-mer peptide)4E10 Fv (T88)GEP 1 (T117)GEP 2 (T117)GEP 7 (T117)
AsnL 32 TYRL 32 TYRL 32 TYR
L 91 TYR L 91 TYR L 91 TYR L 91 TYR
L 91 TYRL 91 TYRL 91 TYRL 91 TYR
L 92 GLY L 92 GLY L 92 GLY L 92 GLY L 92 GLY
L 92 GLYL 93 GLN*L 92 GLYL 92 GLYL 92 GLY
L 93 GLN* L 94 SER L 93 SER*L 93 SER*L 93 SER*
L 94 SER L 94 SER
L 94 SER
TrpH 33 ALAH 33 ALAH 33 ALAH 33 ALAH 33 ALA
H 50 GLYH 50 GLYH 50 GLYH 50 GLYH 50 GLY
H 51 VAL*H 51 VAL*H 51 ILE*H 51 ILE*H 51 ILE*
H 52 ILEH 52 ILEH 52 ILEH 52 ILEH 52 ILE
H 56 ILE* H 56 THR
H 56 ILE*H 56 ILE*H 56 THR*H 56 THR*
H 58 ASN
H 58 ASNH 58 ASNH 58 ASNH 58 ASNH 58 ASN
L 94 SER L 94 SER
L 94 SERL 94 SER
PheH 47 TRPH 47 TRPH 47 TRPH 47 TRPH 47 TRP
H 100J PHEH 100J PHEH 100J PHEH 100J PHEH 100J PHE
L 91 TYRL 91 TYRL 91 TYRL 91 TYRL 91 TYR
L 93 GLN*L 93 GLN*L 93 SER*L 93 SER*L 93 SER*
L 94 SERL 94 SERL 94 SERL 94 SERL 94 SER
L 96 SERL 96 SERL 96 SERL 96 SERL 96 SER
Asp L 32 LYS* L 32 LYS* L 32 TYR* L 32 TYR* L 32 TYR*
L 32 LYS*L 32 LYS*L 32 TYR*L 32 TYR*L 32 TYR*
IleH 52 ILEH 52 ILEH 52 ILEH 52 ILEH 52 ILE
H 54 LEU*H 54 LEU*H 54 PHE*H 54 PHE*H 54 PHE*
H 56 ILE*H 56 ILE*H 56 THR*H 56 THR*
ThrH 31 THR*H 31 THR*H 31 SER*H 31 SER*H 31 SER*
H 32 TYRH 32 TYRH 32 TYRH 32 TYRH 32 TYR
H 33 ALAH 33 ALAH 33 ALAH 33 ALAH 33 ALA
H 52 ILEH 52 ILEH 52 ILEH 52 ILEH 52 ILE
H 95 GLU H 95 GLU H 95 GLU H 95 GLU H 95 GLU
H 95 GLUH 95 GLUH 95 GLUH 95 GLUH 95 GLU
H 100F PROH 100F PROH 100F PROH 100F PROH 100F PRO

Asterisks indicate residues that differ between GEPs and 4E10.

Table 4

Additional contacts between GEPs and the scaffold moiety of ES T117 outside of the grafted 4E10 epitope.

Epitope-scaffold T117GEP 1GEP 2GEP 7
8 ALAH 100E LYSH 100E LYSH 100E LYS
56 ARGH 54 PHEH 54 PHEH 54 PHE
H 55 GLYH 55 GLYH 55 GLY
H 56 THRH 56 THR
H 56 THRH 56 THR
60 PHEH 54 PHEH 54 PHEH 54 PHE
H 55 GLYH 55 GLYH 55 GLY
H 56 THR
62 THRH 54 PHEH 54 PHEH 54 PHE
64 LEUH 53 ILEH 53 ILEH 53 ILE
73 ILEH 54 PHEH 54 PHEH 54 PHE
75 HISH 54 PHEH 54 PHEH 54 PHE
100 ALAH 53 ILEH 53 ILEH 53 ILE
H 54 PHEH 54 PHEH 54 PHE
A 73 LYSH 73 LYSH 73 LYS
101 GLYH 73 LYSH 73 LYSH 73 LYS
125 ASNH 100F PROH 100F PROH 100F PRO
H 100E LYSH 100E LYSH 100E LYS
127 LEUH 53 ILEH 53 ILEH 53 ILE
H 54 PHEH 54 PHEH 54 PHE
128 TRPH 100C LEU
H 100C LEU
H 100D GLYH 100D GLYH 100D GLY
H 100E LYSH 100E LYSH 100E LYS
H 100F PROH 100F PROH 100F PRO
Figure 6

SPR sensorgrams of the interactions between ES T117 and the indicated GEPs are shown.

Binding data are shown in black with the kinetic fits to the data shown in red. Details of the experiments are given in Table 1.

The epitope binding site is conserved between 4E10 and its GEPs.

(A) Residues from the combining sites of 4E10 and GEPs, superimposed based on bound-state structures, contacting the NWFDIT core epitope (shown in a cartoon representation as a grey corkscrew) are shown in a stereo view. 4E10 and GEP residues are shown in licorice stick representation and colored as follows: 4E10 Fv (3LH2.pdb, in complex with ES T88) in purple, 4E10 Fab (2FX7.pdb, in complex with an extended 16-mer NWFDIT-containing peptide) in orange, GEP 1 in yellow, GEP 2 in cyan, and GEP 7 in red. Analyses and depictions were restricted to the core epitope to maximize comparability. Calculated SA buried in the complexes and Sc between core epitope and Ab are: 4E10 Fab/epitope peptide: SA = 355 Å2, Sc = 0.78; 4E10/T88: SA = 367 Å2, Sc = 0.77; GEP 1/T117: SA = 342 Å2, Sc = 0.69; GEP 2/T117: SA = 305 Å2, Sc = 0.74; GEP 7/T117: SA = 343 Å2, Sc = 0.66. (B) The NWFDIT core epitope is shown in a licorice stick representation isolated from the superimposed complex structures, highlighting the high degree of conservation of both the position and conformation of the peptide across 4E10 and GEP complexes. *One crystal was used per data set. Values in parentheses are for the highest-resolution shell. The ligands identified in structures 4M62, 4OB5, and 4LCI are ordered sulfate ions and/or glycerol molecules. They do not affect the interactions between antigens and antibodies. Asterisks indicate residues that differ between GEPs and 4E10.

GEP structures revealed that structural plasticity was retained during affinity maturation

In order to determine whether the 4E10 combining site rigidified during affinity maturation, undergoing binding site preconfiguration, the crystal structures of GEP 7 and GEP 1 were determined in the unbound state at resolution values of 1.9 Å and 1.7 Å respectively, rebuilt and refined with good statistics ( ), and compared to the unbound structure of 4E10 (4LLV.pdb [17]). Superpositions of 4E10 and GEP bound and unbound structures showed that interdomain movements, while present, were limited compared to CDR rearrangements ( ), and that 4E10 retained at least as much CDR flexibility as was present in GEPs, particularly in HCDR2 and HCDR3, while LCDRs were relatively constrained ( ). Calculated root mean square deviations (RMSDs; ) of VH and VL superpositions, with and without CDRs, confirmed that while the FWR regions of GEPs and 4E10 were nearly identical, the bulk of rearrangements observed during binding occurred in HCDRs, with 4E10 movements as large, or larger, than observed in GEPs. LCDR movements, while much smaller overall, contributed less to rearrangements in 4E10 than GEPs, suggesting some minimal degree of rigidification during maturation. Comparison of the surfaces directly contacting epitopes ( and ) showed that GEPs retained higher degrees of structural conservation than 4E10 between the bound and unbound states. These analyses need to be interpreted cognizant of the constraints imposed by crystallization, which involved varying non-physiological solution conditions and variable crystal contacts between structures. However, these caveats were minimized by comparing multiple structures with multiple copies per asymmetric unit.
Figure 9

Interdomain movements within Fv cassettes are limited.

(A) Superpositions of the VH domains from two 4E10 ligand-bound structures (2FX7.pdb, 3LH2.pdb), unbound 4E10 (4LLV.pdb), ligand-bound GEP 1 (4M8Q.pdb), unbound GEP 1 (4LRN.pdb), ligand-bound GEP 2 (4M62.pdb), ligand-bound GEP 7 (4ODX.pdb), and unbound GEP 7 (4OB5.pdb) are shown in Cα backbone representations, colored as indicated. Residue P14H in each Fv, chosen as a reference point to illustrate interdomain movement upon binding between 4E10 and GEPs, is shown as a sphere and colored to match the corresponding backbone. When isolated VH domains are superimposed, the P14H spheres are nearly coincident, indicating that the VH domain structure is highly conserved among these Abs. (B) Fv cassettes of 4E10 and GEPs, colored as in (A), superimposed only on VL domains (oriented on the right side of the panel), are shown as represented in (A). In this view, interdomain movements can be visualized as the relative movement of VH domains, particularly at the P14H reference point. (C) Orthogonal view of the P14H spheres excerpted from (B) illustrating the pattern and degree of interdomain movements.

Figure 10

CDR restructuring.

Views from the side (A) and below (B) are shown of superpositions of isolated VH domains, in cartoon representations, with FRW regions colored grey and β-strands indicated as arrows. HCDRs are shown in a B-factor putty representation (tube width correlates with crystallographic Debye-Waller, or B, factor), colored by Ab. On the left in both frames is shown the superposition of VH domains from ligand-bound 4E10 (3LH2.pdb, with green HCDRs) vs. unbound 4E10 (4LLV.pdb, with blue HCDRs), and on the right in both frames is shown the superposition of ligand-bound structures of GEP 1 (4M8Q.pdb), GEP 2 (4M62.pdb), and GEP 7 (4ODX.pdb), all with pink HCDRs, vs. unbound GEP 1 (4LRN.pdb) and GEP 7 (4OB5.pdb), both with orange HCDRs. (C) RMSD values for VH, VL, or Fv superpositions, calculated with or without CDR residues, are plotted for Cα atoms only (left) or all atoms (right).

Interdomain movements within Fv cassettes are limited.

(A) Superpositions of the VH domains from two 4E10 ligand-bound structures (2FX7.pdb, 3LH2.pdb), unbound 4E10 (4LLV.pdb), ligand-bound GEP 1 (4M8Q.pdb), unbound GEP 1 (4LRN.pdb), ligand-bound GEP 2 (4M62.pdb), ligand-bound GEP 7 (4ODX.pdb), and unbound GEP 7 (4OB5.pdb) are shown in Cα backbone representations, colored as indicated. Residue P14H in each Fv, chosen as a reference point to illustrate interdomain movement upon binding between 4E10 and GEPs, is shown as a sphere and colored to match the corresponding backbone. When isolated VH domains are superimposed, the P14H spheres are nearly coincident, indicating that the VH domain structure is highly conserved among these Abs. (B) Fv cassettes of 4E10 and GEPs, colored as in (A), superimposed only on VL domains (oriented on the right side of the panel), are shown as represented in (A). In this view, interdomain movements can be visualized as the relative movement of VH domains, particularly at the P14H reference point. (C) Orthogonal view of the P14H spheres excerpted from (B) illustrating the pattern and degree of interdomain movements.

CDR restructuring.

Views from the side (A) and below (B) are shown of superpositions of isolated VH domains, in cartoon representations, with FRW regions colored grey and β-strands indicated as arrows. HCDRs are shown in a B-factor putty representation (tube width correlates with crystallographic Debye-Waller, or B, factor), colored by Ab. On the left in both frames is shown the superposition of VH domains from ligand-bound 4E10 (3LH2.pdb, with green HCDRs) vs. unbound 4E10 (4LLV.pdb, with blue HCDRs), and on the right in both frames is shown the superposition of ligand-bound structures of GEP 1 (4M8Q.pdb), GEP 2 (4M62.pdb), and GEP 7 (4ODX.pdb), all with pink HCDRs, vs. unbound GEP 1 (4LRN.pdb) and GEP 7 (4OB5.pdb), both with orange HCDRs. (C) RMSD values for VH, VL, or Fv superpositions, calculated with or without CDR residues, are plotted for Cα atoms only (left) or all atoms (right).

Engineered ESs can make extensive contacts outside of the targeted epitope

The goal of reverse engineering an Ab is to scaffold the desired epitope to re-elicit Abs that solely recognize the epitope [6], [57]. However, the 4E10 linear epitope, as currently defined, is smaller than typical Ab/antigen interfaces, which poses the design challenge of isolating humoral responses to the epitope and not contiguous scaffold surfaces. Previous crystal structures of 4E10/ES complexes showed that many ESs achieved this goal well, including T93 [15], [55]. However, GEP/T117 complex structures reported here showed extensive GEP/scaffold contacts (SA for GEP2 contacts to scaffold minus epitope = 308 Å2) ( ). A dominant feature of these interactions was the binding of the side-chain of the GEP-specific residue F54H in a deep hydrophobic cleft of the T117 scaffold protein, a putative phosphotransferase from S. typhimurium. These additional contacts raise the concern that Abs elicited by T117 immunizations may have off-target (non-Env) specificities. Nevertheless, the T117 scaffold is highly complementary to 4E10 (Sc for GEP2/T117 = 0.69), which may help explain the increased affinity of T117 for 4E10 and GEPs, and may be ideal for preferentially targeting GEPs through the F54H interaction (F54H is present in the heavy chain gene used by all GEPs). The additional T117 contacts appear to have had the effect of increasing the affinity for T117 over other ESs by two orders of magnitude for 4E10 and by one to three orders of magnitude for the GEPs. However, structural superpositions show that these extra Ab/scaffold interactions do not affect Ab/epitope interactions, or the structure of the epitope in the complexes, which are highly conserved ( ).
Figure 11

GEPs binding surfaces on T117.

(A) The complex of GEP 2 (orange) bound to ES T117 (red) is shown in molecular surface representations. Non-epitope scaffold contacts are highlighted in grey. (B) The interaction partners were separated as indicated in (A) to reveal details of the interface. T117, on the left, is shown in a red semi-transparent molecular surface representation with the NWFDIT epitope, in a licorice-stick representation, visible within the surface. The GEP 2 Fv structure is shown on the right, colored as in (A). The NWFDIT epitope, excised from the T117 structure, is shown as bound for reference. The footprint of GEP 2 (non-epitope contacts) on T117 is colored dark grey; the footprint of T117 to non-epitope residues on GEP 2 is colored light grey. The position of the side-chain of F54H is indicated.

GEPs binding surfaces on T117.

(A) The complex of GEP 2 (orange) bound to ES T117 (red) is shown in molecular surface representations. Non-epitope scaffold contacts are highlighted in grey. (B) The interaction partners were separated as indicated in (A) to reveal details of the interface. T117, on the left, is shown in a red semi-transparent molecular surface representation with the NWFDIT epitope, in a licorice-stick representation, visible within the surface. The GEP 2 Fv structure is shown on the right, colored as in (A). The NWFDIT epitope, excised from the T117 structure, is shown as bound for reference. The footprint of GEP 2 (non-epitope contacts) on T117 is colored dark grey; the footprint of T117 to non-epitope residues on GEP 2 is colored light grey. The position of the side-chain of F54H is indicated.

GEPs displayed a similar degree of limited polyspecificity to 4E10, but different autoreactivity

A validated phage-displayed library consisting of 413,611 overlapping 36-mer peptides spanning the entire human proteome combined with phage immunoprecipitation sequencing (PhIP-Seq) was used to assess the polyspecificity and autoantigen recognition profiles of GEPs in comparison to 4E10 [17], [50] ( , , , and ). GEP 2 and GEP 4 were selected to represent both the clustering (GEP 2) and 96H mutant (GEP 4) GEPs, and an affinity-matured, murine anti-canine CD28 Ab, 1C6 [58], was included for comparison ( , ). The top hit in the 4E10 Fv PhIP-Seq analysis reported here, a peptide derived from the type 2 inositol 1,4,5-trisphosphate receptor (IP3R), matches the top hit from the previous PhIP-Seq analysis of IgG 4E10 [17]. However, overall scores were considerably reduced in the PhIP-Seq analysis of 4E10 as an Fv construct versus intact IgG (replicate average −Log10 P-values for the top ten scoring peptides of 35.3 to 255 for IgG versus 4.35 to 12.3 for Fv), likely due to decreased accessibility of coupled Fv relative to IgG, an increased chance of inactivating Fv versus IgG during chemical coupling, and the inherent increase in local avidity of bivalent IgG versus univalent Fv on potentially sparsely-coupled beads. Given these caveats, overall scoring behavior was very similar across the Fvs tested, with 4E10 and 1C6, the affinity-matured Abs, showing the highest average scores. GEP 4 and 1C6 showed the largest number of high-scoring hits, with 61 and 194 peptides with replicate-averaged −Log10 P-values of ≥4.0 respectively; 4E10 and GEP2 had 12 and 20 peptides, respectively, scoring ≥4.0. Qualitatively, the results were not dramatically different, but with GEP 4 and 1C6 showing nominally greater spreads of top-scoring peptides rising above the bulk responses. None of the top-scoring three-dozen 4E10 peptides appeared in the top three-dozen hits from either GEP; however two of the top-scoring dozen GEP peptides (derived from zinc finger Ran-binding domain-containing protein 3 or hyaluronidase-3 isoform 1 precursor) were in common between GEP 2 and GEP 4, scoring 1 and 12 (GEP 2) and 4 and 2 (GEP 4), respectively. However, no common peptide motifs could be identified within or between Fv results. None of the IP3R peptides scored in the top 65,000 GEP hits. While 1C6 showed the highest scoring spread of top hits (replicate average −Log10 P-values for the top ten scoring peptides of 12.14 to 30.9), the top ten scoring peptides displayed a considerably higher average hydrophobic character (Φ), with average Φ values of: 4E10 = 0.37; GEP 2 = 0.42; GEP 4 = 0.45; 1C6 = 0.71 (higher values are more hydrophobic). Using relative hydrophobicity of the top-scoring PhIP-Seq peptides as a surrogate measure of the overall hydrophobicity of the combining site was consistent with the structures of the Abs ( ), where the 1C6 combining site is structured as a large, broad, very hydrophobic concavity and 4E10 and its GEPs sporting smaller, convex hydrophobic surfaces.
Figure 12

Peptidome binding results.

(A) PhIP-Seq results are plotted as −Log10 P-values, one replicate on the abscissa, the other on the ordinate, colored by Ab as indicated; note the discontinuity in axis scales. The top scoring 4E10 peptide derived from IP3R is highlighted with a red arrow; one peptide, derived from the zinc finger Ran-binding domain-containing protein 3, which bound to both GEP 2 and GEP 4, is highlighted with purple arrows. Proximity to the diagonal indicates good replicate concordance; peptides with highly discordant replicate values, falling along the axes, were discarded from the analysis. Overall library scoring statistics are: 4E10, average = 0.32, σ = 0.35; GEP 2, average = 0.22, σ = 0.44; GEP 4, average = 0.25, σ = 0.52; 1C6, average = 0.27, σ = 0.50. (B) The molecular surfaces of the Fv domains of 1C6 (4LCI.pdb), unbound 4E10 (4LLV.pdb) and unbound GEP 7 (4OB5.pdb) are shown, oriented with VH domains at left and the VL domains at right. The surface is colored to show hydrophobic patches, defined by the program HotPatch [80]; patches are colored in descending order of total area (red, orange, yellow, …). The total surface area for red and orange hydrophobic patches is shown. The crystal structure of GEP 7 is partially disordered in HCDR1 and 3 and so patch area is underrepresented in the calculation.

Table 5

PhIP-Seq results for 4E10 Fv.

RankAvg. −logP Peptide sequencePeptide sourceΦCharge
112.25 SKCRVFNTTERDEQGSKV inositol 1,4,5-trisphosphate receptor type 20.17−1
NDFFQQTEDLYNEMKWQK
29.37 PPPRCISTNKCTAPEVE complement receptor type 1 isoform S precursor0.48+1.9
NAIRVPGNRSFFSLTEIVR
37.32 KAFNYRSYLTTHQRSHTG zinc finger protein 2670.18+4.1
ERPYKCEECGKAFNSRSY
47.22 PPHELTEEEKQQILHSE cytoplasmic dynein 1 intermediate chain 20.28−5.7
EFLSFFDHSTRIVERALSE
56.22 AHTGEKPYVCRECGRGFR Krueppel-related zinc finger protein 10.10+5.4
QHSHLVRHKRTHSGEKPY
65.21 STPIEWYPDYEVEAYRRR XP_373395.20.49−1.7
HHNSSLNFFNWFSDHNFA
74.72 EQGIVGPRWWVFPSLRFAA XP_498650.10.71+2
VSRPFCGAWVLSWGQAT
84.49 GAQPPFDAQSPLDSQPQPS nuclear fragile X mental retardation-interacting protein 10.42−0.9
GQPWNFHASTSWYWRQS
94.36 LYEEISMPLLADVRLNYLG inter-α-trypsin inhibitor heavy chain H6 precursor0.74−2
GLVGASPWAVFPNYFGG
104.25 YKVDVTWTRARGASRGWR TP53-target gene 5 protein0.12+10.1
SRHQLKGRNGWRNSRVYK
114.15 AKWREVSHTFSNYPPGVR F-box only protein 44 isoform 10.58+1.3
YIWFQHGGVDTHYWAGWY
124.07 MNPQIRNPMKAMYPGTFY APOBEC-3C0.61+1
FQFKNLWEANDRNETWLC
133.78 SGGYGSGGYGGSATPSGR ATP-dep. RNA helicase A0.22+4
ICAGVGGGYRGVSRGGFR
143.77 LMMKKRVRLEEAFEFVK dual specificity protein phosphatase 4 isoform 20.48+4
QRRSIISPNFSFMGQLLQF
153.59 DGMYQRFLRQHVHPEETG ribonuclease 4 precursor0.28+2.1
GSDRYCNLMMQRRKMTLY
163.47 TSLEVEPFASLTEAVRSS NAD-dependent deacetylase sirtuin-3, mitochondrial isoform a0.56−0.9
VPRLLINRDLVGPLAWHP
173.40 SEQFYDRSLGIMRRVLPP secreted phosphoprotein 240.26+5.2
GNRRYPNHRHRARINTDF
183.38 MKPGFSPRGGGFGGRGGF rRNA 2′-O-methyltransferase fibrillarin0.03+7
GDRGGRGGRGGFGGGRGR
193.31 NARRFSAGQWEARRGWRL ribosomal biogenesis protein LAS1L isoform 10.43+2.9
FNCSASLDWPRMVESCLG
203.23 ESWLSRFSYAWLAPLLAR multidrug resistance-associated protein 7 isoform MRP7A0.51+2
GACGELRQPQDICRLPHR
Table 6

PhIP-Seq results for GEP 2 Fv.

RankAvg. logP Peptide sequencePeptide sourceΦCharge
18.35 EGWQCSLCTYINNSELPY zinc finger Ran-binding domain-containing protein 3 0.61−5.2
CEMCETPQGSAVMQIDSL
26.11 PVFSFSKTSEYHDIMYPA protein O-glucosyltransferase 1 precursor0.72−1.9
WTFWEGGPAVWPIYPTGL
35.74 KVTDTKPRVAEWRYGPAR transcription initiation factor TFIID subunit 1-like0.29−1
LWYDMLGVSEDGSGFDYG
45.58 MTTFTEPEVVFLQSRGNE arf-GAP domain and FG repeat-containing protein 20.560
VCRKIWLGLFDARTSLVP
55.57 SGWGSRSQAPYGTLGAVS peroxisome proliferator-activated receptor γ coactivator-related protein 10.32−2.9
GGEQVLLHEEAGDSGFVS
65.05 MGLSRRNPSYPWLWEDG oxidized low-density lipoprotein receptor 1 isoform 10.53+2.1
SPLMPHLFRVRGAVSQTYP
74.90 ASTLGSMPSFTARLTRGQL RING finger protein 37 isoform a0.33+4.1
QHLGTRGSNTSWRPGTG
84.72 QPNPHGNMMYTGPSHHSY histone acetyltransferase KAT6A0.40+3.3
MNAAGVPKQSLNGPYMRR
94.62 KLMGKDESTSRNRRSLSP rho guanine nucleotide exchange factor 18 isoform a0.25+3.1
ILPGRHSPAPPPDPGFPA
104.47 IQRYCNCNSSMPRPVKVA phosphofurin acidic cluster sorting protein 10.54+4.9
AVGGQSYLSSILRFFVKS
114.44 RYDVQERHPKGKMIPVLH protein phosphatase 1 regulatory subunit 17 isoform 10.09+4.3
NTDLEQKKPRRKDTPALH
124.39 RPGFAGPAVLDWEEWCPL hyaluronidase-3 isoform 1 precursor 0.58+1
WAGNWGRRRAYQAASWAW
134.39 PIPSGSYYAPYGMPYTSM SET-binding protein isoform a0.710
PMMNLGYYGQYPAPLYLS
144.28 NQSQGCLPARTCHSPAHS thrombospondin-3 isoform 1 precursor0.50+1.2
PCHIHAHCLFERNGAVSC
154.27 LEREVTDVDSVVGRSSVG dedicator of cytokinesis protein 8 isoform 10.11+1
ERRTLAQSRRLSERALSL
164.23 RSRRKQHLLPPCVDEPEL forkhead box protein M1 isoform 10.38+0.1
LFSEGPSTSRWAAELPFP
174.22 TQAFDFYSRYFAPWVGVA phenazine biosynthesis-like domain-containing protein, isoform a0.53−1.9
EDPVTGSAHAVLSSYWSQ
184.17 TKWMNMKAVFGHPFSLGW palmitoyltransferase ZDHHC3 isoform 20.52+1.1
ASPFATPDQGKADPYQYV
194.11 AGSWHPRSYAAYALKTW kiSS-1 receptor0.68+2.1
AHCMSYSNSALNPLLYAFL
204.07 EETAGEPWEDGFEAELSP NP_955358.10.31−5
VEQKLSALRSPLAQRPFF
Table 7

PhIP-Seq results for GEP 4 Fv.

RankAvg. −logP Peptide sequencePeptide sourceΦCharge
116.36 PKGKCLGSQDYLELANRF S phase cyclin A-associated protein in the ER isoform a0.21+3
PQQAWEEARQFFLKKEKK
214.52 RPGFAGPAVLDWEEWCPL hyaluronidase-3 isoform 1 precursor 0.58+1
WAGNWGRRRAYQAASWAW
313.98 ISHIQPFSFLDLESLRSL leucine-rich repeat and fibronectin type-III domain-containing protein 2 precursor0.50−1.8
HLDSNRLPSLGEDTLRGL
413.73 EGWQCSLCTYINNSELPY zinc finger Ran-binding domain-containing protein 3 0.61−5.2
CEMCETPQGSAVMQIDSL
59.43 LEQNLAAAEEGPLEPAVV NP_957704.10.59−5.9
DAFNQAWHLFAHECPNYF
69.40 QAAPAPQPVFVGPAVPQG Krueppel-like factor 11 isoform a0.680
AVMLVLPQGALPPPAPCA
78.16 EETAGEPWEDGFEAELSP NP_955358.10.31−5
VEQKLSALRSPLAQRPFF
87.40 SEALSRDPETLVGYSMVG fatty acid synthase0.450
CQRAMMANRLSFFFDFRG
97.37 RKREKCWGRSSVMAEYG visual system homeobox 20.34+4
LYGAMVRHSIPLPESILKS
106.65 LIKTKQRKESRFQLFMQ rho guanine nucleotide exchange factor 11 isoform 10.27+4
EAESHPQCRRLQLRDLIIS
116.06 SDSSWQQQPGQPPPHSTW uncharacterized protein C14orf430.38+0.2
NCHSLSLYSATKGSPHPG
125.98 NGKIKYECNVCAKTFGQL PR domain zinc finger protein 1 isoform 20.40+5
SNLKVHLRVHSGERPFKC
135.97 KGKAGTPSGSSADEDTF suppressor of cytokine signaling 60.11+2
SSSSAPIVFKDVRAQRPIR
145.75 DEMKEIQERQRDKLYERR transcriptional activator protein Pur-β−0.25−8
GGGSGGGEESEGEEVDED
155.64 QPPFFSKEQPQALNFGGI membrane metallo-endopeptidase-like 10.44−1.8
GMVIGHEITHGFDDNGRN
165.60 RTTENPTLERKPYSSPR zinc finger FYVE domain-containing protein 260.23+3
DSSLPALTSSALAFLKSRS
175.60 NQSQGCLPARTCHSPAHS thrombospondin-3 isoform 1 precursor0.50+1.2
PCHIHAHCLFERNGAVSC
185.29 MAKKGCRHLVCSSGGNA serine dehydratase-like0.48+5
GIAAAYAARKLGIPATIVL
195.28 TTPFTLEGRPRGELHEQY dedicator of cytokinesis protein 8 isoform 10.33+3.2
RRNTVLTTMHAFPYIKTR
205.26 MSAQSLPAATPPTQKPPR rho guanine nucleotide exchange factor 150.25+6
IIRPRPPSRSRAAQSPGP
Table 8

PhIP-Seq results for 1C6 Fv.

RankAvg. −logP Peptide sequencePeptide sourceΦCharge
130.87 AVLKYENNVMNIRQFNCS Ser/Thr-protein phosphatase 2B catalytic subunit α isoform 10.810
PHPYWLPNFMDVFTWSLP
214.67 PTWDQVPPFQWSTSPFSG putative phospholipase B-like 2 isoform 10.64+0.1
LLHMGQPDLWKFAPVKVS
313.63 QGLVLNWGLMTTRGQGLM Record removed (XP_495971.1)0.70+0.1
SSWGLGAHWGLPVNLGTG
413.54 AGNHFINVMLSHPNHTGN trans-2,3-enoyl-CoA reductase-like0.86+0.2
NACFPSPNYNPFTWMFFL
513.30 PIPSGSYYAPYGMPYTSM SET-binding protein isoform a0.710
PMMNLGYYGQYPAPLYLS
613.21 MASNSSSCPTPGGGHLNG retinoic acid receptor α isoform 10.690
YPVPPYAFFFPPMLGGLS
713.11 MNPQIRNPMKAMYPGTFY APOBEC-3C0.61+1
FQFKNLWEANDRNETWLC
812.85 PENRGGFQGFGFGDGGF E3 ubiquitin-protein ligase RNF185 isoform 10.61−1
QMSFGIGAFPFGIFATAFN
912.41 MNHMLPDPGTWEEYFETFI sulfotransferase 1C2 isoform a0.70−2.8
NGKVVWGSWFDHVKGWW
1012.14 LQPPPSRFKQFFCLSLPS WD repeat-containing protein 27 isoform 10.73+1
SWDYSLPQLPWMVNSSSF
1111.87 TDRYMWSDASGLQECTKA tectonin β-propeller repeat-containing protein 10.45−2
GTKPPSLQWAWVSDWFVD
1211.46 EYGPPRKQPKQQHGPGFW uncharacterized protein C12orf120.52+3
FQPPVCSNWGCWGGPWRP
1310.84 KVTDTKPRVAEWRYGPAR transcription init. factor TFIID subunit 1-like0.29−1
LWYDMLGVSEDGSGFDYG
1410.80 EQGKEPWMVVREETGRWC zinc finger protein 4610.45−1.9
PGTWKTWGFHNNFLDNNE
1510.57 TYGEEGLKDGHQSSHGDI dnaJ homolog subfamily B member 11 precursor0.33−2.7
FSHFFGDFGFMFGGTPRQ
1610.26 FWGTGLSLPSLPVSFPLQ metallothionein-1E0.75+2
AFCPKFRWGRTAFFSWDT
179.46 PVFSFSKTSEYHDIMYPA protein O-glucosyltransferase 10.72−1.9
WTFWEGGPAVWPIYPTGL
189.45 NTTWYSNDTWYGNDTWYG sodium channel protein type 4 subunit α0.60−5
NEMWYGNDSWYANDTWNS
199.41 STRLPSEYIYGFGEVEHTA sucrase-isomaltase, intestinal0.42−0.9
FKRDLNWNTWGMFTRDQ
209.27 SQWGQWSQVYGNPQQYGQ nucleolysin TIAR isoform 10.590
YMANGWQVPPYGVYGQPW

Peptidome binding results.

(A) PhIP-Seq results are plotted as −Log10 P-values, one replicate on the abscissa, the other on the ordinate, colored by Ab as indicated; note the discontinuity in axis scales. The top scoring 4E10 peptide derived from IP3R is highlighted with a red arrow; one peptide, derived from the zinc finger Ran-binding domain-containing protein 3, which bound to both GEP 2 and GEP 4, is highlighted with purple arrows. Proximity to the diagonal indicates good replicate concordance; peptides with highly discordant replicate values, falling along the axes, were discarded from the analysis. Overall library scoring statistics are: 4E10, average = 0.32, σ = 0.35; GEP 2, average = 0.22, σ = 0.44; GEP 4, average = 0.25, σ = 0.52; 1C6, average = 0.27, σ = 0.50. (B) The molecular surfaces of the Fv domains of 1C6 (4LCI.pdb), unbound 4E10 (4LLV.pdb) and unbound GEP 7 (4OB5.pdb) are shown, oriented with VH domains at left and the VL domains at right. The surface is colored to show hydrophobic patches, defined by the program HotPatch [80]; patches are colored in descending order of total area (red, orange, yellow, …). The total surface area for red and orange hydrophobic patches is shown. The crystal structure of GEP 7 is partially disordered in HCDR1 and 3 and so patch area is underrepresented in the calculation.

Pre-binding of 4E10 at the MPER affects the binding of bnAb b12 at the CD4 binding site

In order to test the hypothesis that 4E10 may induce global conformational changes in gp1403 as part of a higher-order neutralization mechanism [17], [21], consistent with downstream effects such as gp120 release, binding of Abs to epitopes distant from the MPER (the V3 loop, by 447-52D [59], and the CD4 binding site, by b12 [60]) was assayed by SPR in the presence or absence of saturating 4E10 ( ). The qualitative results show that 4E10 pre-binding does not affect 447-52D binding to the flexible, extended V3 loop, but does alter the association kinetics of b12 at the CD4 binding site, suggesting that 4E10 binding induced global conformational changes in gp1403 registering at distant sites. Since b12 dissociation kinetics were unaffected, 4E10 did not preclude achieving a similar b12 bound-state conformation.
Figure 13

Effects of 4E10/gp1403 pre-binding on 447-52D and b12 binding.

Double-corrected sensorgrams of the SPR response of 10 nM analytes of Fab b12 (red and green traces) or Fab 447-52D (blue and black traces) to chip-coupled SF162 gp1403 in the absence (red and black traces) or presence (green and blue traces) of pre-bound Fv 4E10 are shown. Fv 4E10, at a concentration of 3 µM, was flowed over the chip starting 5 minutes before the 447 or b12 injections and continued throughout the experiment. The black and blue 447-52D traces were completely superimposed, showing no effect of 4E10 pre-binding on 447-52D binding. While the dissociation phases of the b12 traces are nearly parallel, showing no minimal effect of 4E10 pre-binding on the dissociation of b12 from the bound state, the association phases are clearly not parallel, resulting in a lower peak response in the presence of 4E10 pre-binding, showing a modest, but important, reduction in the association rate. This result suggests that the CD4 binding site adopted a distinct conformational state prior to b12 binding as a consequence of 4E10 binding at the MPER.

Effects of 4E10/gp1403 pre-binding on 447-52D and b12 binding.

Double-corrected sensorgrams of the SPR response of 10 nM analytes of Fab b12 (red and green traces) or Fab 447-52D (blue and black traces) to chip-coupled SF162 gp1403 in the absence (red and black traces) or presence (green and blue traces) of pre-bound Fv 4E10 are shown. Fv 4E10, at a concentration of 3 µM, was flowed over the chip starting 5 minutes before the 447 or b12 injections and continued throughout the experiment. The black and blue 447-52D traces were completely superimposed, showing no effect of 4E10 pre-binding on 447-52D binding. While the dissociation phases of the b12 traces are nearly parallel, showing no minimal effect of 4E10 pre-binding on the dissociation of b12 from the bound state, the association phases are clearly not parallel, resulting in a lower peak response in the presence of 4E10 pre-binding, showing a modest, but important, reduction in the association rate. This result suggests that the CD4 binding site adopted a distinct conformational state prior to b12 binding as a consequence of 4E10 binding at the MPER.

Discussion

Reverse engineered ESs are ideal reagents for studying the binding properties of GEPs. Where peptides and Env do not display sufficient affinities, the best ESs display strong affinities across the GEP ensemble, allowing for the biophysical characterization of 4E10 ontogeny by using ESs to compare 4E10 and GEP binding kinetics and bound-state crystal structures. Consistent with current theory and previous results comparing GEPs with matured bnAbs or other Abs, 4E10 displays orders-of-magnitude better affinities than candidate GEPs for both Env gp1403 proteins and engineered ESs. This gain in affinity is potentially sufficient to account for the concurrent gain in neutralization potency over GEPs. Previous results showing minimal contributions from FWR mutations [61] and comparisons of complex structures of 4E10 with GEP/T117 complex structures, which showed near-complete conservation of the recognition interface ( ), argue that affinity maturation was likely due, at least in part, to the small number of somatic mutations in the CDR regions, e.g. 32L and 95H, that add or improve direct contacts to epitope. This limited number of mutations is presumably readily achievable during conventional vaccination. Based on PhIP-Seq peptidome binding results ( ), 4E10 and GEPs have distinct autoantigen profiles, suggesting that 4E10 autoreactivity was acquired during ontogeny and not inherent in GEPs, consistent with recognizable GEPs populating naïve repertoires of mature B cells at relatively high frequencies [16]. Among ESs, T117 in particular interacts with GEPs sufficiently strongly to drive B cell activation and maturation ( ) and selectively interacts with GEP-specific structural features, e.g. F54H ( ). These aspects of 4E10 combine to seemingly argue that 4E10 ontogeny follows a relatively short path and that directed re-elicitation of 4E10, and perhaps other bnAbs, may be an achievable goal. In many aspects, however, 4E10 ontogeny appears more convoluted. Contrasting with the consensus model of Ab ontogeny and results from other systems [38], 4E10 is considerably less thermostable than GEPs, which was difficult to account for only from static views of structures. This lowers the headroom available to tolerate mutations that increase affinity or potency that otherwise might degrade stability, potentially adding a significant hurdle to re-elicitation of 4E10, but clearly does not limit the ability of 4E10 to bind to or neutralize HIV. The conformer ensemble sampled by GEP combining sites echoes the startling plasticity of 4E10, with structural comparisons of bound versus unbound states ( and ) showing perhaps a small degree of 4E10 LCDR rigidification, but an increase in the conformer ensemble sampled by the HCDRs. This directly contradicts the consensus model, and specific examples [40], of Ab maturation, showing alternatively that preconfiguration of 4E10 does not occur during, or contribute to, affinity maturation. HCDR flexibility is highlighted by F29H, which is able to flip out into solvent in the unbound 4E10 and GEP 1 structures, allowing HCDR1 to dynamically sample multiple conformers. A high number of conserved glycine residues may contribute to 4E10 and GEP HCDR mobility. The reduced affinities due to decreased k as ( ), relative to the clustering GEPs, of GEP 4 and 6 with non-glycine residues at position 96H, predicted to restrict HCDR3 conformer sampling, suggests that HCDR3 mobility was needed to achieve the bound-state conformation with optimal kinetics by destabilizing non-optimal conformers. Retention of significant combining site plasticity also strongly argues for a functional role other than polyspecificity, which is unremarkable in comparison to other Abs, based on PhIP-Seq peptidome binding results ( ). Minimal focusing of apparent polyspecificity also contradicts the consensus model, and specific examples [62], of maturation. Also unexpectedly, the ∼100-fold increase in affinity of 4E10 over GEPs to T117 is through a decreased k d ( ), suggesting that improvements in binding affinity arose from a more favorable bound state and not a decrease in entropic barriers imposed by more plastic GEPs. Thermodynamic studies of 4E10 and GEPs were not possible because no single antigen, needed for valid comparisons, bound to both 4E10 and GEPs with parameters accessible to measurement. However, while crystal structures showed a highly-conserved bound state in both 4E10 and GEPs, the small number of improved contacts could not account fully for the observed improvement in affinity. Complicating this analysis, and its use as a vaccine immunogen, are the extensive contacts between GEPs, and presumably also 4E10, and the scaffold of T117 outside of the stabilized MPER epitope ( ). The interaction with T117 also highlights another possibility. The 4E10 combining site extends beyond the minimal, linear epitope in T117, making contacts to the scaffold. Unless the MPER epitope forms an isolated structure extended away from the rest of Env, 4E10 may make contacts to elements of Env outside of the linear 4E10 epitope, as it does with T117. HCDR conformer dynamics may therefore be understood as enabling such interactions, which may foster conformational changes in Env leading to neutralization by any of several mechanisms. Prebinding of 4E10 to gp1403 affected b12 binding at the CD4 site distant from the MPER ( ), indirectly demonstrating a global conformational change consistent with this supposition. Additional interactions between GEPs and the scaffold moiety of T117 would also be predicted to drive rigidification of an even greater portion of the combining site during conventional immunization, increasing the distinction between 4E10 and a matured Ab derived from a 4E10 GEP stimulated with T117. T117 was the product of a cutting-edge design effort to generate a structurally-stabilized MPER epitope with optimized binding properties for use as a vaccine immunogen to drive 4E10 ontogeny based on the current paradigm of affinity maturation. However, 4E10 appears to take the affinity maturation pathway less traveled, one that contrasts, in many fundamental ways, the current paradigm. This raises the concern that conventional immunization protocols, based on the current paradigm of structural stabilization of optimal binding conformers, will not successfully re-elicit 4E10 or other unconventional Abs. Understanding unconventional maturation pathways then becomes paramount for the future of molecular vaccinology, allowing efforts to focus on re-eliciting Abs identified as the products of conventional ontogeny in the near term while developing unconventional vaccination strategies to target exceptional Abs in the long term.

Materials and Methods

Protein prediction, expression, purification and characterization

The 4E10 heavy and light chain nucleotide sequences were analyzed using JoinSolver [63], IMGT/V-QUEST [64], [65], Ab-Origin [66], SoDA [67] and iHMMune [68] to compositely identify segments with the fewest nucleotide mismatches, generating a combinatorial ensemble of 12 GEPs ( ). Each derived GEP candidate consisted of a single VL domain sequence assigned with high confidence (IGKV3-20*01 plus IGKJ1*01), one VH gene segment also confidently assigned (IGHV1-69*06), plus one of six likely D segments (IGHD1-1*01, IGHD6-19*01, IGHD7-27*01, IGHD6-25*01, IGHD1-26*01, IGHD4-17*01) and either of two likely J segments (IGHJ4*02, IGHJ1*01). The CDR3 junctions and presumed N-nucleotide insertions in mature 4E10 were retained in the candidate GEPs. Sequences are numbered following Kabat [24]. 4E10, eight of the 12 GEPs, and 1C6 Fvs were engineered, expressed as inclusion bodies in E. coli BL21(DE3) RIL cells (Invitrogen), refolded, purified, and validated by SEC and PAGE as previously described [18]. Circular dichroism (CD) spectra of 4E10 Fv and GEPs were measured on a J-815 spectrometer (Jasco) at a concentration of 10 µM in 10 mM Na2HPO4/KH2PO4 (pH = 7.4). Temperature melts were performed at 210 nM with a temperature ramp from 25°C to 95°C at a slope of 2°C/minute, data pitch of 2°C, and delay time of 10 s ( ). Tms were determined by nonlinear least-squares analysis using a linear extrapolation model with Spectra Analysis software (Jasco). Fabs of 447-52D and 4E10 were prepared by digestion of IgG with papain (Pierce), affinity chromatography with protein A (Pierce) and preparative SEC (Superdex 200 16/10 column; GE Healthcare); IgG 4E10 was purchased from Polymun Scientific, and IgG 447-52D and Fab b12 were kindly provided by Pamela Bjorkman (Caltech).

Neutralization assays

Neutralization assays ( ) were performed using single-round entry-competent viruses and TZM-bl cells as previously described [53]. Percent neutralization at concentrations of 0.96 µM (4E10 and GEP Fvs) or 0.17 µM (4E10 IgG) was calculated as previously described [18], [53].

SPR interaction analyses

All SPR experiments were performed at 25°C on a Biacore T100 instrument with the T200 sensitivity enhancement (GE Healthcare). For analyses of the binding of 4E10 and GEP Fv analytes to chip-captured ES ligands ( , ), ESs at ∼1 µg/mL were captured on a SA sensor chip (GE Healthcare) following either carboxy (T117) or amine (T72, T93, T344) biotinylation, following the manufacturer's recommended protocol (EZ-Link, Thermo Scientific), in a running buffer of HBS-EP+ (10 mM HEPES, pH 7.4, 150 mM NaCl, 3 mM EDTA, 0.05% P-20; GE Healthcare) plus 0.1 mg/mL bovine serum albumin. A reference flow cell was left blank. Duplicate 4E10 and GEP Fv analyte injections were randomized and run at a flow rate of 50 µL/minute. Regeneration, if needed, was achieved by injection of 10 mM glycine at 50 µL/minute followed by buffer stabilization. Sensorgrams obtained from SPR measurements were double-reference subtracted [69] with BIAevaluation 2.0.3 software (GE Healthcare) employing previously described methodology [18]; data were fit with either 1∶1 or steady-state binding models. For analyses of the binding of 4E10 and GEP Fv analytes to gp1403 ( ), gp1403 at 30 µg/mL in 10 mM sodium acetate (pH = 5.0) were direct amine coupled at a density of ∼2200 RUs on a CM5 sensor chip (GE Healthcare); a reference surface was prepared by activating and deactivating a flow cell without the addition of protein; gp1403 were prepared as previously described [18]. Duplicate 5 minute, 300 nM injections of 4E10 and GEP Fv were made in HBS-EP+ at 50 µL/minute followed by 5 minutes of dissociation, regeneration with 10 mM glycine (pH = 1.5) for 5 seconds and then 6 minutes of stabilization. Assays of Fab b12 or Fab 447-52D binding to SF162 gp1403 in the presence or absence of 4E10 Fv ( ) were conducted in HBS-EP+ buffer. Using standard amine coupling chemistry, 1273 RUs of SF162 gp1403 were coupled to a CM5 sensor chip. A reference surface was prepared by activating and deactivating a flow cell without the addition of protein. Two samples were injected at a flow rate of 50 µL/minute using the dual injection command in the T100 control software (v2.0.3, GE Healthcare) with injection 1 at 5 minutes, injection 2 at 2 minutes and a final dissociation time of 5 minutes. Fab-alone curves were generated by injecting HBS-EP+ followed by an injection of 10 nM Fab b12 or 447-52D and double referenced by subtracting a dual injection of HBS-EP+ followed by HBS-EP+. Fab with 4E10 Fv curves were generated by injecting 3 µM 4E10 Fv (∼90 RUs bound) followed by an injection of 10 nM Fab b12 or 447-52D in the presence of 3 µM 4E10 Fv and double referenced by subtracting a dual injection of 3 µM 4E10 Fv followed by 3 µM 4E10 Fv. Optimal regeneration was achieved by injection of 10 mM glycine (pH = 1.5) at a flow rate of 50 µL/minute for 5 seconds followed by a 6 minute buffer stabilization phase. Sensorgrams were corrected by the double-subtraction method [69] in Scrubber 2.0b software (BioLogic Software). shows the second sample of each set of injections with baselines zeroed just prior to the second injection.

Crystallization and crystallography

Crystals of GEPs and 4E10 Fv were grown by the hanging-drop vapor diffusion method at 25°C with the following well solutions: GEP 1: 25% w/v PEG 3350, 0.2 M NaCl, 0.1 M Tris (pH = 8.5) GEP 1/T117: unbuffered 12% w/v PEG 8000, 0.1 M KCl, 5% v/v glycerol GEP 2/T117: 1.6 M Li2SO4, 0.1 M sodium acetate (pH = 5.0) GEP 7: 20% w/v PEG 2000, 0.2 M Trimethylamine N-oxide, 0.1 M Tris (pH = 9.0) GEP 7/T117: 10% w/v PEG 10000, 0.1 M NH4OAc, 0.1 M Bis-Tris (pH = 5.5) 1C6: 3.5 M sodium formate, 0.1 M Bis-Tris Propane (pH = 7.0) Crystals were cryopreserved in mother liquor containing 15% v/v glycerol (GEP 1, GEP 1/T117, GEP 7/T117), mother liquor containing 10% (1C6) or 20% (GEP 7) v/v glycerol, or 20% w/w sucrose (GEP 2/T117). Diffraction data for GEP 1, 4E10, and 1C6 were collected at the Advanced Light Source beamline 5.0.2 (Lawrence Berkeley National Laboratory, Berkeley, CA) and reduced using HKL-2000 [70] or d*TREK (Rigaku) [71]. Diffraction data for GEP 7, GEP 1/T117, GEP 7/T117 and GEP 2/T117 were collected in house with CuKα radiation on a R-AXIS IV++ image plate detector with HR optics (Rigaku) at −170°C. Initial phase information for all data sets was determined by molecular replacement, as implemented in the CCP4i program suite [72]–[74], using 3LF6.pdb (T117), 3LH2.pdb (GEPs) and 1JP5.pbd (1C6) as initial search models. Phases were improved by subsequent rounds of model building and refinement using COOT [75] and REFMAC [76]. Structure validation was carried out with PROCHECK [77], the MolProbity server [78], and the RCSB ADIT validation server. Data collection and structure refinement statistics are shown in . Crystals of GEP 2 alone could not be grown, despite considerable effort.

PhIP-Seq analysis

4E10, GEP and 1C6 Fvs were coupled to beads and analyzed in duplicate. For each Fv analyzed, 3 mg of magnetic beads (Invitrogen M-270 Epoxy Dynabeads) were resuspended in 60 µL 0.1 M NaPO4 (pH = 7.4). Beads were rocked at ambient temperature for 24 hrs with 60 µg of each Fv in 1 M (NH4)2SO4 and then washed with 10 mM glycine in PBS to cap unreacted epoxy groups. Activity of Fv coupled beads was confirmed by epitope-scaffold binding prior to PhIP-Seq analyses. PhIP-Seq analyses were performed as previously described [17], [50]. Results were plotted as replicate #1 versus replicate #2 −Log10 P-values; highly discordant, and therefore spurious, hits falling near the axes were excluded from analysis. 241 peptides were also discarded because they displayed nonspecific binding to all Abs tested [17]. Peptide hydrophobicity was determined with the Sigma-Aldrich PEPscreen Library Design Tool and overall charge at neutral pH was determined with the Innovagen Peptide Property Calculator.

Accession numbers

Coordinates and structure factor amplitudes have been deposited in the Protein Data Bank [79] under accession codes: 4M8Q.pdb (ligand-bound GEP 1), 4LRN.pdb (unbound GEP 1), 4M62.pdb (ligand-bound GEP 2), 4ODX.pdb (ligand-bound GEP 7), 4OB5.pdb (unbound GEP 7), and 4LCI.pdb (1C6). Superposition of epitope binding site contacts from bound and unbound forms of 4E10. Residues from epitope binding site contacts are represented as mesh, pink for bound and yellow for unbound. The heavy chain CDR1 and CDR3 loops are shown in cartoon representations with residues W100H, W100bH, and F29H shown in licorice stick representations. (M4V) Click here for additional data file. Superposition of epitope binding site contacts from bound and unbound forms of GEP 7. Residues from epitope binding site contacts are represented as mesh, pink for bound and yellow for unbound. The heavy chain CDR1 and CDR3 loops are shown in cartoon representations with residues W100H, W100bH, and F29H shown in licorice stick representations. (M4V) Click here for additional data file.
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Review 2.  Antibodies, viruses and vaccines.

Authors:  Dennis R Burton
Journal:  Nat Rev Immunol       Date:  2002-09       Impact factor: 53.106

3.  IMGT/V-QUEST, an integrated software program for immunoglobulin and T cell receptor V-J and V-D-J rearrangement analysis.

Authors:  Véronique Giudicelli; Denys Chaume; Marie-Paule Lefranc
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

4.  Antibody mechanics on a membrane-bound HIV segment essential for GP41-targeted viral neutralization.

Authors:  Mikyung Kim; Zhen-Yu J Sun; Kasper D Rand; Xiaomeng Shi; Likai Song; Yuxing Cheng; Amr F Fahmy; Shreoshi Majumdar; Gilad Ofek; Yongping Yang; Peter D Kwong; Jia-Huai Wang; John R Engen; Gerhard Wagner; Ellis L Reinherz
Journal:  Nat Struct Mol Biol       Date:  2011-10-16       Impact factor: 15.369

Review 5.  HIV vaccine design: the neutralizing antibody conundrum.

Authors:  Leonidas Stamatatos
Journal:  Curr Opin Immunol       Date:  2012-05-15       Impact factor: 7.486

6.  Somatic mutations of the immunoglobulin framework are generally required for broad and potent HIV-1 neutralization.

Authors:  Florian Klein; Ron Diskin; Johannes F Scheid; Christian Gaebler; Hugo Mouquet; Ivelin S Georgiev; Marie Pancera; Tongqing Zhou; Reha-Baris Incesu; Brooks Zhongzheng Fu; Priyanthi N P Gnanapragasam; Thiago Y Oliveira; Michael S Seaman; Peter D Kwong; Pamela J Bjorkman; Michel C Nussenzweig
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

7.  Binding interactions between soluble HIV envelope glycoproteins and quaternary-structure-specific monoclonal antibodies PG9 and PG16.

Authors:  Thaddeus M Davenport; Della Friend; Katharine Ellingson; Hengyu Xu; Zachary Caldwell; George Sellhorn; Zane Kraft; Roland K Strong; Leonidas Stamatatos
Journal:  J Virol       Date:  2011-05-04       Impact factor: 5.103

8.  Computational design of epitope-scaffolds allows induction of antibodies specific for a poorly immunogenic HIV vaccine epitope.

Authors:  Bruno E Correia; Yih-En Andrew Ban; Margaret A Holmes; Hengyu Xu; Katharine Ellingson; Zane Kraft; Chris Carrico; Erica Boni; D Noah Sather; Camille Zenobia; Katherine Y Burke; Tyler Bradley-Hewitt; Jessica F Bruhn-Johannsen; Oleksandr Kalyuzhniy; David Baker; Roland K Strong; Leonidas Stamatatos; William R Schief
Journal:  Structure       Date:  2010-09-08       Impact factor: 5.006

9.  Interactions between lipids and human anti-HIV antibody 4E10 can be reduced without ablating neutralizing activity.

Authors:  Hengyu Xu; Likai Song; Mikyung Kim; Margaret A Holmes; Zane Kraft; George Sellhorn; Ellis L Reinherz; Leonidas Stamatatos; Roland K Strong
Journal:  J Virol       Date:  2009-11-11       Impact factor: 5.103

10.  Germline-like predecessors of broadly neutralizing antibodies lack measurable binding to HIV-1 envelope glycoproteins: implications for evasion of immune responses and design of vaccine immunogens.

Authors:  Xiaodong Xiao; Weizao Chen; Yang Feng; Zhongyu Zhu; Ponraj Prabakaran; Yanping Wang; Mei-Yun Zhang; Nancy S Longo; Dimiter S Dimitrov
Journal:  Biochem Biophys Res Commun       Date:  2009-09-11       Impact factor: 3.575

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1.  Mutational fitness landscapes reveal genetic and structural improvement pathways for a vaccine-elicited HIV-1 broadly neutralizing antibody.

Authors:  Bharat Madan; Baoshan Zhang; Kai Xu; Cara W Chao; Sijy O'Dell; Jacy R Wolfe; Gwo-Yu Chuang; Ahmed S Fahad; Hui Geng; Rui Kong; Mark K Louder; Thuy Duong Nguyen; Reda Rawi; Arne Schön; Zizhang Sheng; Rajani Nimrania; Yiran Wang; Tongqing Zhou; Bob C Lin; Nicole A Doria-Rose; Lawrence Shapiro; Peter D Kwong; Brandon J DeKosky
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-09       Impact factor: 11.205

2.  The Broadly Neutralizing, Anti-HIV Antibody 4E10: an Open and Shut Case?

Authors:  Roland K Strong; Kathryn A K Finton
Journal:  J Virol       Date:  2016-02-26       Impact factor: 5.103

3.  Somatic Hypermutation-Induced Changes in the Structure and Dynamics of HIV-1 Broadly Neutralizing Antibodies.

Authors:  Thaddeus M Davenport; Jason Gorman; M Gordon Joyce; Tongqing Zhou; Cinque Soto; Miklos Guttman; Stephanie Moquin; Yongping Yang; Baoshan Zhang; Nicole A Doria-Rose; Shiu-Lok Hu; John R Mascola; Peter D Kwong; Kelly K Lee
Journal:  Structure       Date:  2016-07-28       Impact factor: 5.006

Review 4.  Germline-targeting immunogens.

Authors:  Leonidas Stamatatos; Marie Pancera; Andrew T McGuire
Journal:  Immunol Rev       Date:  2017-01       Impact factor: 12.988

5.  Therapeutic Antibodies to Ganglioside GD2 Evolved from Highly Selective Germline Antibodies.

Authors:  Eric Sterner; Megan L Peach; Marc C Nicklaus; Jeffrey C Gildersleeve
Journal:  Cell Rep       Date:  2017-08-15       Impact factor: 9.423

6.  Analysis of antibody binding specificities in twin and SNP-genotyped cohorts reveals that antiviral antibody epitope selection is a heritable trait.

Authors:  Thiagarajan Venkataraman; Cristian Valencia; Massimo Mangino; William Morgenlander; Steven J Clipman; Thomas Liechti; Ana Valencia; Paraskevi Christofidou; Tim Spector; Mario Roederer; Priya Duggal; H Benjamin Larman
Journal:  Immunity       Date:  2022-01-11       Impact factor: 43.474

7.  PhIP-Seq characterization of serum antibodies using oligonucleotide-encoded peptidomes.

Authors:  Divya Mohan; Daniel L Wansley; Brandon M Sie; Uri Laserson; H Benjamin Larman; Muhammad S Noon; Alan N Baer
Journal:  Nat Protoc       Date:  2018-09       Impact factor: 13.491

8.  Structural basis for germline antibody recognition of HIV-1 immunogens.

Authors:  Louise Scharf; Anthony P West; Stuart A Sievers; Courtney Chen; Siduo Jiang; Han Gao; Matthew D Gray; Andrew T McGuire; Johannes F Scheid; Michel C Nussenzweig; Leonidas Stamatatos; Pamela J Bjorkman
Journal:  Elife       Date:  2016-03-21       Impact factor: 8.140

9.  Structural and Thermodynamic Basis of Epitope Binding by Neutralizing and Nonneutralizing Forms of the Anti-HIV-1 Antibody 4E10.

Authors:  Edurne Rujas; Naveed Gulzar; Koldo Morante; Kouhei Tsumoto; Jamie K Scott; José L Nieva; Jose M M Caaveiro
Journal:  J Virol       Date:  2015-09-16       Impact factor: 5.103

10.  Role of framework mutations and antibody flexibility in the evolution of broadly neutralizing antibodies.

Authors:  Victor Ovchinnikov; Joy E Louveau; John P Barton; Martin Karplus; Arup K Chakraborty
Journal:  Elife       Date:  2018-02-14       Impact factor: 8.140

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