Maolin Lu1, Xiaochu Ma1, Luis R Castillo-Menendez2,3, Jason Gorman4, Nirmin Alsahafi5,6, Utz Ermel1, Daniel S Terry7, Michael Chambers4, Dongjun Peng4, Baoshan Zhang4, Tongqing Zhou4, Nick Reichard1, Kevin Wang1, Jonathan R Grover1, Brennan P Carman1, Matthew R Gardner8, Ivana Nikić-Spiegel9, Akihiro Sugawara10, James Arthos11, Edward A Lemke12,13,14, Amos B Smith10, Michael Farzan8, Cameron Abrams15, James B Munro16, Adrian B McDermott4, Andrés Finzi5,6, Peter D Kwong4, Scott C Blanchard17, Joseph G Sodroski18,19, Walther Mothes20. 1. Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA. 2. Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. 3. Department of Microbiology, Harvard Medical School, Boston, MA, USA. 4. Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. 5. Department of Microbiology and Immunology, McGill University, Montreal, Quebec, Canada. 6. Centre de Recherche du CHUM (CRCHUM), Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, Quebec, Canada. 7. Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. 8. Department of Immunology and Microbiology, The Scripps Research Institute, Jupiter, FL, USA. 9. Werner Reichardt Centre for Integrative Neuroscience, University of Tuebingen, Tuebingen, Germany. 10. Department of Chemistry, University of Pennsylvania, Philadelphia, PA, USA. 11. Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. 12. Departments of Biology and Chemistry, Pharmacy and Geosciences, Johannes Gutenberg University Mainz, Mainz, Germany. 13. Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz, Mainz, Germany. 14. Structural and Computational Biology Unit and Cell Biology and Biophysics Unit, EMBL, Heidelberg, Germany. 15. Department of Chemical and Biological Engineering, Drexel University, Philadelphia, PA, USA. 16. Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA. 17. Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. scb2005@med.cornell.edu. 18. Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Joseph_Sodroski@dfci.harvard.edu. 19. Department of Microbiology, Harvard Medical School, Boston, MA, USA. Joseph_Sodroski@dfci.harvard.edu. 20. Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA. walther.mothes@yale.edu.
Abstract
The HIV-1 envelope glycoprotein (Env) trimer mediates cell entry and is conformationally dynamic1-8. Imaging by single-molecule fluorescence resonance energy transfer (smFRET) has revealed that, on the surface of intact virions, mature pre-fusion Env transitions from a pre-triggered conformation (state 1) through a default intermediate conformation (state 2) to a conformation in which it is bound to three CD4 receptor molecules (state 3)8-10. It is currently unclear how these states relate to known structures. Breakthroughs in the structural characterization of the HIV-1 Env trimer have previously been achieved by generating soluble and proteolytically cleaved trimers of gp140 Env that are stabilized by a disulfide bond, an isoleucine-to-proline substitution at residue 559 and a truncation at residue 664 (SOSIP.664 trimers)5,11-18. Cryo-electron microscopy studies have been performed with C-terminally truncated Env of the HIV-1JR-FL strain in complex with the antibody PGT15119. Both approaches have revealed similar structures for Env. Although these structures have been presumed to represent the pre-triggered state 1 of HIV-1 Env, this hypothesis has never directly been tested. Here we use smFRET to compare the conformational states of Env trimers used for structural studies with native Env on intact virus. We find that the constructs upon which extant high-resolution structures are based predominantly occupy downstream conformations that represent states 2 and 3. Therefore, the structure of the pre-triggered state-1 conformation of viral Env that has been identified by smFRET and that is preferentially stabilized by many broadly neutralizing antibodies-and thus of interest for the design of immunogens-remains unknown.
The HIV-1 envelope glycoprotein (Env) trimer mediates cell entry and is conformationally dynamic1-8. Imaging by single-molecule fluorescence resonance energy transfer (smFRET) has revealed that, on the surface of intact virions, mature pre-fusion Env transitions from a pre-triggered conformation (state 1) through a default intermediate conformation (state 2) to a conformation in which it is bound to three CD4 receptor molecules (state 3)8-10. It is currently unclear how these states relate to known structures. Breakthroughs in the structural characterization of the HIV-1 Env trimer have previously been achieved by generating soluble and proteolytically cleaved trimers of gp140 Env that are stabilized by a disulfide bond, an isoleucine-to-proline substitution at residue 559 and a truncation at residue 664 (SOSIP.664 trimers)5,11-18. Cryo-electron microscopy studies have been performed with C-terminally truncated Env of the HIV-1JR-FL strain in complex with the antibody PGT15119. Both approaches have revealed similar structures for Env. Although these structures have been presumed to represent the pre-triggered state 1 of HIV-1 Env, this hypothesis has never directly been tested. Here we use smFRET to compare the conformational states of Env trimers used for structural studies with native Env on intact virus. We find that the constructs upon which extant high-resolution structures are based predominantly occupy downstream conformations that represent states 2 and 3. Therefore, the structure of the pre-triggered state-1 conformation of viral Env that has been identified by smFRET and that is preferentially stabilized by many broadly neutralizing antibodies-and thus of interest for the design of immunogens-remains unknown.
To compare the conformational states of gp120 in Env trimers on the surface of
virions of the BG505 subtype of HIV-1 (HIV-1BG505) with gp120 in soluble
gp140 SOSIP.664 trimers of HIV-1BG505 (hereafter, ‘BG505 sgp140
SOSIP.664’), we used enzymatic and non-natural amino acid strategies to
site-specifically introduce donor and acceptor fluorophores in the variable regions V1
and V4 of gp120 at exactly the same positions (Extended
Data Fig. 1a). Positions in the HIV-1BG505 Env at which introduced
tags do not disrupt Env processing and virus incorporation, infectivity or sensitivity
to neutralization by trimer-specific antibodies have previously been
identified[10]. Tags that were
introduced at identical positions into BG505 sgp140 SOSIP.664 and DS-SOSIP.Mut4 (a
further-stabilized variant of BG505 sgp140 SOSIP.664)[20] also had a negligible effect on antigenicity or
the ability to assemble into compact trimers (Extended
Data Fig. 1b, c). The tags enabled
site-specific enzymatic incorporation of donor and acceptor fluorophores into gp120 on
the surface of intact virus[8]. We
prepared complete virus that carried—on average—one double-labelled
HIV-1BG505 Env molecule per particle in the context of wild-type
HIV-1BG505 Env[8] (Fig. 1a), and BG505 sgp140 SOSIP.664 trimers that
carried—on average—one double-labelled protomer per trimer (Fig. 1b). Labelled viruses or trimers were immobilized within
microfluidic sample chambers for total internal reflection smFRET imaging (Methods).
Extended Data Fig. 1 |
Tagged BG505 sgp140 SOSIP.664 proteins largely retain their known
immunogenic features and preferentially sample state-2-like
conformations.
a, Schematics for wild-type (WT) BG505 Env and BG505
sgp140 SOSIP.664 with D7324 affinity tag; V1–Q3 peptide in green,
V4–A1 peptide in red. b, Validation of tagged BG505
sgp140 SOSIP.664. Top, antigenic profile of 100% untagged (WT), 100%
double-tagged V1V4 (V1–Q3 V4–A1), and 20:1 of untagged to
double-tagged BG505 sgp140 SOSIP.664. Binding by the indicated VRC01, 17b,
PG9, 19b, PGT151 and 902090 antibodies was assessed from two independent
ELISA assays in hexaplets and displayed as percentage of 2G12 binding (mean
± s.d.). The epitope for the antibody 902090 was more exposed in the
100%-tagged BG505 sgp140 SOSIP.664 than in the untagged BG505 sgp140
SOSIP.664, although this was not the case for the 1:20 tagged:wild-type
trimers used for our smFRET analyses. The insertion of the Q3 tag into all
three V1 regions of Env may exert local effects on the V2 β-barrel
that contains the 902090 epitope (residues 171–177). Bottom,
reference-free negative-staining electron microscopy two-dimensional class
averages with representative trimeric density map of the BG505 sgp140
SOSIP.664 (wild type:V1V4-tagged at a 20:1 ratio) used for smFRET imaging. A
Fourier shell correlation is also provided. c, Antigenic
characteristics of BG505 sgp140 DS-SOSIP.664 (left) and 100% V1V4-tagged
BG505 DS-SOSIP.Mut4 (right), determined by MSD. Antibodies are labelled.
CD4bs, CD4 binding site; CD4i, CD4-induced; V1V2, V1V2-directed; V3, V3
glycan site-directed; gp120/gp41, interface between gp120 and gp41.
Antigenic profiles of BG505 dS-SOSIP.664 (left) and 100% V1V4-tagged
DS-SOSIP.Mut4 (right) after V3-negative selection were assessed by a panel
of CD4-induced antibodies (17 and 48b, with and without sCD4), CD4 binding
site antibodies (VRC01, VRC03, b12 and weakly neutralizing F105),
V1V2-directed antibodies (PGT145 and VRC26.25), V3 glycan site-directed
antibodies (2G12, PGT121, PGT128) and weakly neutralizing V3-directed
antibodies (447–52D, 3074 and 2557, with and without soluble CD4),
gp41–gp120 interface antibodies (PGT151, 35O22, 8ANC195 and VRC34.01)
and the negative-control antibody CR9114 (an influenza virus antibody that
does not recognize HIV-1 Env). ECL, electrochemiluminescence.
d, The indicated BG505 sgp140 SOSIP.664 variants exhibit
predominantly state-2-like conformations. FRET histograms for V1V4-tagged
BG505 sgp140 SOSIP.664 with molecules after V3-negative selection (left),
and for the stabilized BG505 sgp140 SOSIP.664 variant
DS-SOSIP.Mut4[20]
(right) (see Methods). Histograms
represent mean ± s.e.m., determined from three independent
populations of smFRET traces.
Fig. 1 |
HIV-1 Env on the surface of viruses, or in complexes characterized
structurally at high resolution, reside in distinct conformational
states.
a, b, Experimental approach. Membrane-bound
HIV-1 trimer on chemically inactivated virus, depicted by cryo-electron
tomography at a resolution[4] of
about 20 A (left, side view; right, top view) (a), or Env proteins
used to obtain high-resolution structures (BG505 sgp140 SOSIP.664[18] or HIV-1JR-FL
Env(ΔCT) in complex with PGT151[19])
(b) were double-labelled in a single protomer in V1 with
Cy3 (green) and in V4 with Cy5 (red), and analysed by smFRET.
HIV-1JR-FL Env(ΔCT) in complex with PGT151[19] and unliganded BG505 sgp140
SOSIP.664[18] are
adapted from RCSB Protein Data Bank accessions 5FUU (Env protomers, orange;
PGT151, light blue) and 4ZMJ (magenta), respectively.
c, d, Example of fluorescence traces of
unliganded HIV-1BG505 Env on the surface of an intact virus
(c) and BG505 sgp140 SOSIP.664 (d) that carry
fluorophores at identical positions within V1 and V4 of gp120. Top, donor Cy3 in
green and acceptor Cy5 in red; bottom, resulting FRET in blue and hidden Markov
model idealization in red. Arrows indicate single-step photobleaching events
that define the background of our smFRET assay. e, Unliganded
HIV-1BG505 Env predominantly resides in state 1. FRET histogram
compiled from 180 HIV-1BG505 Env FRET traces and fitted curve (red)
for three confined Gaussian distributions (black) centred at 0.1 (low FRET,
state 1), 0.33 (intermediate FRET, state 3) and 0.65 (high FRET, state 2).
f, BG505 sgp140 SOSIP.664 predominantly samples state-2-like
conformations. Experiment as in e, conducted with unliganded BG505
sgp140 SOSIP.664. g, BG505 sgp140 SOSIP.664 variants with
V3-negative selection (Extended Data Fig.
1d) retain a state 2 dominance that is similar to that of BG505
sgp140 SOSIP.664 (f), and all differ from the HIV-1 virus Env
(e). h, Binding of PGT151 at neutralizing
concentrations (10 μg ml−1) stabilizes a state-2-like
conformational state of HIV-1BG505 Env. Histograms represent mean
± s.e.m., determined from three independent populations of smFRET traces.
Number of FRET traces are indicated. State occupancies and determining
parameters are listed in Extended Data Table
1.
The observed anti-correlated relationship between donor and acceptor intensities,
and resulting changes in FRET efficiency, were consistent with discrete motions of the
V1 and V4 regions relative to each other within individual gp120 monomers (Fig. 1c, d).
Histograms, comprised of smFRET data that were obtained from an ensemble of imaged
virus, revealed three FRET states that were indicative of three major conformations of
gp120 (Fig. 1e, f). Similar to Env from HIV-1JR-FL and
HIV-1NL4–3 isolates[8], the native HIV-1BG505 Env predominantly occupied the
low-FRET state 1 conformation (Fig. 1e). The native
HIV-1BG505 Env spontaneously sampled both state 2 and state 3, which are
characterized by high- and intermediate-FRET values, respectively (Extended Data Fig. 4c). By contrast, the BG505 sgp140
SOSIP.664 trimers—although they accessed three similar conformational
states—predominantly occupied state 2 (Fig.
1f, Extended Data Fig. 4f). Similar
results were observed for BG505 sgp140 DS-SOSIP.Mut4, and when using SOSIP.664 produced
by a different laboratory (Fig. 1g, Extended Data Fig. 1c, d). Collectively, these data indicate that engineered sgp140 SOSIP.664 trimers
are stabilized in conformations that more closely resemble the state 2 conformation than
the state 1 conformation that predominates on intact virus particles.
Extended Data Fig. 4 |
Conformational remodelling of HIV-1BG505 and BG505 sgp140
SOSIP.664 by sCD4D1D2–Igαtp and BMS-626529.
a, b, Examples of fluorescence traces of
BG505 sgp140 SOSIP.664 in the presence of 10 μg
ml−1 sCD4D1D2–Igαtp
(a), and 100 μM BMS-626529 (b). Arrows
indicate single-step photobleaching events that define the background of our
smFRET assay. c–e, Transition density plots
of HIV-1BG505 in the absence (c) or presence
(d) of sCD4D1D2–Igαtp, or in the
presence of BMS-626529 (e). Transition density plots that
indicate the relative frequency of state-to-state transitions were generated
from individual traces (180 traces in Fig.
1e, 147 traces in Fig. 2b
(top), and 116 traces in Fig. 2b
(bottom)). n, number of total transitions observed.
f–h, Transition density plots of BG505
sgp140 SOSIP.664 under the same experimental conditions as those shown in
c–e.
Cryo-electron microscopy studies of mature HIV-1JR-FL Env that lacks
the cytoplasmic tail (HIV-1JR-FL Env(ΔCT)), in complex with
PGT151[19], (Extended Data Fig. 2a) have revealed a structure that is
similar to that of the BG505 sgp140 SOSIP.664 trimer. We therefore used smFRET to
examine the conformational state of HIV-1 Env bound to PGT151. The deletion of the
cytoplasmic tail had little or no effect on the conformational landscape of Env (Extended Data Fig. 2b). However, PGT151 induced a
notable shift in both HIV-1JR-FL Env and HIV-1BG505 Env from a
conformation similar to state 1 to a conformation similar to state 2 (Fig. 1h, Extended Data Fig.
2c–g). Similar results were
obtained for variants of HIV-1JR-FL Env and HIV-1BG505 Env that do
not rely on the labelling tags (Extended Data Fig.
2h–l). In this case, fluorophores
were ‘clicked’ onto unnatural amino acids that were introduced through the
suppression of amber codons[21]. Thus,
the gp120 conformations that are predominantly exhibited by both the BG505 sgp140
SOSIP.664 trimer and the PGT151-bound HIV-1JR-FL Env differ from the
predominant state-1 conformation of the virus-resident Env, and instead resemble state
2.
Extended Data Fig. 2 |
Binding of PGT151 stabilizes a state-2-like conformational state of HIV-1
Env.
a, Structure of HIV-1JR-FL Env(ΔCT)
in complex with PGT15119. Two PGT151 antigen-binding fragments
are distant from the positions of the gp120 variable loops (V1 and V4) that
carry the fluorophores. b, Population FRET histograms of
unliganded HIV-1JR-FL Env(ΔCT), and HIV-1JR-FL
Env(ΔCT) in the presence of 10 μg ml−1
sCD4D1D2–Igαtp.
c–f, Addition of PGT151 at neutralizing
concentrations (10 μg ml−1) shifts the
conformational landscapes for enzymatically labelled HIV-1JR-FL
(c, e) and HIV-1BG505
(d, f) from the unliganded preference towards
state 1 (red solid lines) to a preference for state 2 (blue solid lines).
g, The addition of PGT151 to BG505 sgp140 SOSIP.664 did not
alter the dominance of the state-2-like conformation exhibited in the
absence of PGT151. h, Schematic of use of amber-suppressor
tRNAs to introduce unnatural amino acids that can be clicked with
fluorophores (h, top; see Methods), and schematic comparison between the Q3 and A1 double
tag used for enzymatically labelling and click-labelling of V1 and V4 of
HIV-1JR-FL (h, middle) and HIV-1BG505
Env (h, bottom). To introduce the unnatural amino acid TCO*,
Asn136 in the V1 loop of HIV-1JR-FL or Ser401 in the V4 loop of
HIV-1BG505 was genetically altered to an amber (TAG) stop
codon. i–l, Experiment as in
c–f, characterizing the conformational
landscape upon binding of PGT151 to click-labelled HIV-1JR-FL
V1–Asn136TAG V4–A1 (i,
k), and HIV-1BG505 V1–Q3
V4–Ser401TAG (j, l).
Neutralization data (mean ± s.d.) are averaged from three independent
experiments in triplicates (c, d, i,
j). FRET population histograms represent mean ±
s.e.m., determined from three independent populations of smFRET traces.
To understand the predominance of the state-2 conformation in BG505 sgp140
SOSIP.664, we introduced the SOSIP changes (that is, the disulfide bond and I559P
substitution)—both separately and in combination—into the native
HIV-1BG505 Env (Fig. 2a). Consistent
with previous reports[22,23], both changes abrogated infectivity without
altering Env processing or virus incorporation (Extended
Data Fig. 3a, b). smFRET showed that, in
combination, the changes stabilize a state- 2-like conformation in membrane-bound Env;
this effect was largely due to the disulfide bond, both in HIV-1BG505 Env and
in HIV-1JR-FL Env (Fig. 2a, Extended Data Fig. 3c).
Fig. 2 |
Stabilizing disulfide bond and I559P mutations stabilize state 2.
a, The stabilizing disulfide bond is largely responsible
for the stabilization of Env in state 2. Schematic shows the
structure-stabilizing modifications A501C and T605C (SOS) and I559P (I559P) that
were used in the design of BG505 sgp140 SOSIP.664, when introduced into HIV-1
Env on the surface of virus. FRET histograms of unliganded HIV-1BG505
Env carrying A501C, T605C and I559P substitutions (top left,
HIV-1BG505 SOS and I559P), A501C and T605C substitutions (bottom
right, HIV-1BG505 SOS; bottom left, sample trace) and I559P (top
right, HIV-1BG505 I559P) changes, respectively. b, FRET
histograms of HIV-1BG505 Env in the presence of
sCD4D1D2–Igαtp (top) and entry inhibitor BMS-626529
(bottom). c, Experiments as in b, for BG505 sgp140
SOSIP.664. FRET histograms represent mean ± s.e.m., determined from three
independent groups of smFRET traces. The FRET histograms of liganded
HIV-1BG505 Env and BG505 sgp140 SOSIP.664 in b and
c can be compared with those of the unliganded Env in Fig. 1e and Fig. 1f, respectively.
Extended Data Fig. 3 |
SOS and I559P effects on infectivity and conformational plasticity of
sgp140 SOSIP.664.
a, SOS and/or I559P (IP) changes introduced into native
HIV-1BG505 Q23 Env do not influence Env processing or virus
incorporation. Env expression, processing and virus incorporation for
HIV-1BG505 Q23 carrying SOS, I559P and SOS and I559P
(SOS&IP) changes were tested by centrifugation of viruses from cell
culture supernatants, followed by sodium dodecyl sulfate-polyacrylamide gel
electrophoresis in the presence of dithiothreitol, and western blotting
using the antiserum to HIV-1 gp120 (NIH AIDS reagent no. 288) and HIV-1 p24
monoclonal antibody (NIH AIDS reagent no. 3537). Experiments were repeated
twice. b, The structure-stabilizing modifications A501C and
T605C (SOS) and I559P used in the design of BG505 sgp140 SOSIP.664 abort
HIV-1 infectivity. Infectivity of HIV-1BG505 Q23 SOS and I559P
was measured by a Gaussia Luciferase assay, and normalized to that of
wild-type HIV-1BG505 Q23. c, FRET histogram of
HIV-1JR-FL Env carrying SOS, confirming similar data for
HIV-1BG505 Env that the SOS change is largely responsible for
the state 2 stabilization of Env on virus. d, e,
FRET histograms of HIV-1BG505 Env in the absence (unliganded,
d) or the presence of
sCD4D1D2–Igαtp (e). f,
g, Experiments as in d, e for
BG505 sgp140 SOSIP.664. h–k, FRET
histograms of HIV-1BG505 Env and BG505 sgp140 SOSIP.664 in the
presence of the entry inhibitors BMS-378806 (h, i)
and BMS-626529 (j, k).
l–m, Neutralization of
HIV-1BG505 by sCD4D1D2–Igαtp
(l), BMS-378806 (m) and BMS-626529
(n). Red arrows indicate concentrations used in smFRET
experiments. Histograms correspond to those in the main figures: in
d (Fig. 1e),
e (Fig. 2b, top),
f (Fig. 1f),
g (Fig. 2c, top),
j (Fig. 2b, bottom)
and k (Fig. 2c, bottom).
Infectivity and neutralization curves represent mean ± s.d. from
three replicates in triplicates. FRET population histograms represent mean
± s.e.m., determined from three independent populations of smFRET
traces.
We next tested whether BG505 sgp140 SOSIP.664 retains the conformational
plasticity of the native HIV-1BG505 Env in response to ligands specific to
state 3 or state 1. Consistent with previous observations[10], the mature pre-triggered HIV-1BG505
Env transitioned into the state 3 conformation upon addition of soluble dodecameric CD4
(sCD4D1D2–Igαtp (also called 12 × CD4), which
consists of domains D1 and D2 of CD4 fused at the C-terminus to the immunoglobulin G
(IgG) 1 heavy chain and immunoglobulin A secretory tailpiece) (Fig. 2b, Extended Data Fig.
3d, e, 1, 4c, d). The BG505 sgp140 SOSIP.664 similarly transitioned into a state-3-like
conformation upon addition of sCD4D1D2–Igαtp (Fig. 2c, Extended Data Fig.
4a, f, g). This observation is consistent with the large CD4-induced displacements
between V1V2 and V4 that have previously been deduced from structural comparison of
BG505 sgp140 SOSIP.664 and B41 sgp140 SOSIP.664 trimers in unliganded states, and in
complex with monomeric soluble CD4[5,15]. By contrast, addition of the
allosteric inhibitor BMS-378806 failed to re-equilibrate the conformational landscape of
BG505 sgp140 SOSIP.664 towards state 1, whereas this compound further stabilized the
mature HIV-1BG505 Env in state 1 (Extended Data
Fig. 3h, i, m). BG505 sgp140 SOSIP.664 was observed to exhibit a modest
enrichment in a state-1-like conformation only upon addition of the more-potent analogue
BMS-626529—at a 1,000-fold excess over its mean 95% inhibitory concentration
(Fig. 2b, c, Extended Data Figs. 3j, k, n, 4b, e, h). These results indicate that state 1 is
destabilized in BG505 sgp140 SOSIP.664, which probably explains why ligands specific to
state 1—including both BMS inhibitors—have not been observed to stabilize
the Env trimer in conformations that are distinct from the conformation that is observed
in their absence[24].Broadly neutralizing antibodies directed towards the V2 apex (PG16 and PGT145),
the CD4-binding site (VRC01) and the glycan-V3 site (PGT122, PGT128 and 2G12)—as
well as the entry inhibitor BMS-626529—have previously been observed to stabilize
the Env of HIV-1NL4-3 and HIV-1JR-FL virions in a state 1
conformation[8]. We tested
additional broadly neutralizing antibodies (3BNC117 and 10–1074) that bind
different epitopes on HIV-1BG505 (Extended Data
Fig. 5a–c) and that suppress
virus replication in animal models and in individuals infected with HIV-1[25-27]. The binding of 3BNC117, 10–1074 and PG9 to HIV-1 Env
resulted in a dominant state 1 conformation (Fig.
3a–d, Extended Data Fig. 5d). By contrast, the non-neutralizing
antibodies F105 and 17b induced a state 3 conformation (Extended Data Fig. 6).
Extended Data Fig. 5 |
Many bNAbs neutralize and exhibit preference for the state 1 conformation
of HIV-1.
a–c, Neutralization of native
HIV-1BG505 by bNAbs that recognize different Env epitopes: V3
glycan site-directed bNAbs 10–1074, PGT121 and PGT122
(a); CD4 binding site bNAbs 3BNC117, VRC01 and VRC03
(b); and V1V2 glycan bNAbs PG9, PG16 and PGT145
(c). Only bNAbs that potently neutralize
HIV-1BG505 or HIV-1JR-FL and allowed smFRET
imaging at an antibody concentration 5 times above the 95% inhibitory
concentration were analysed further (Fig.
3b, d). Neutralization data
(mean ± s.d.) were averaged from three independent experiments in
triplicate. d, FRET histogram that shows that
HIV-1BG505 Env remains in state 1 in the presence of PG9 (50
μg ml−1). FRET population histograms represent mean
± s.e.m., determined from three independent populations of smFRET
traces.
Fig. 3 |
Many broadly neutralizing antibodies exhibit a preference for state 1 of
HIV-1 Env, whereas cow antibodies exhibit a preference for state 2.
a, b, Conformational landscape upon binding of
the broadly neutralizing antibody 10–1074 (50 μg
ml–1) to HIV-1JR-FL virus Env. a,
Sample trace (arrows defined as in Fig. 1).
b, Histogram. FRET histogram of the unliganded
HIV-1JR-FL virus Env is in red. c, d,
Experiments as in a, b, for the broadly neutralizing
antibody 3BNC117 (50 μg ml−1) binding to
HIV-1BG505 Env. e, f, Sample trace
(FRET in blue, hidden Markov model idealization in red) (e) and
histogram (f) of NC-Cow9 antibody preference for state 2 on HIV-1
(T332N)BG505 virus Env. This conformational profile largely
resembles that of BG505 sgp140 SOSIP.664, which was used as an immunogen to
elicit the NC-Cow9 antibody. FRET histograms represent mean ± s.e.m.,
determined from three independent populations of smFRET traces.
Extended Data Fig. 6 |
Conformational preferences of non-neutralizing antibodies for HIV-1 Env
on virus.
a, b, FRET histograms and overlaid
landscapes of HIV-1NL4–3 in the presence of 100 μg
ml−1 17b (a) and 100 μg
ml−1 F105 (b) acquired after 0 min, 30
min and 60 min of incubation. c, d, FRET
histograms and overlaid landscapes of HIV-1BG505 in the presence
of 17b (c) and F105 (d), acquired after 0 min, 30
min and 60 min of incubation. Non-neutralizing antibodies have preference
for the state 3 conformation of Env. Note that in contrast to the tier 1
HIV-1 isolate NL4–3, the tier 2 isolate BG505 does not respond to
17b. FRET population histograms represent mean ± s.e.m., determined
from three independent groups of smFRET traces.
We next tested the conformational preferences of antibodies elicited in
cows[28] using the state-2-like
immunogen, BG505 sgp140 SOSIP.664. Interestingly, each of the monoclonal antibodies
(NC-Cow1, NC-Cow8, NC-Cow9 and NC-Cow10) isolated from immunized cows shifted the
conformational landscape of HIV-1BG505 Env towards state 2 (Fig. 3e, f, Extended Data Fig. 7a–h). Notably, the conformational landscape of HIV-1 Env bound
by the NC-Cow9 antibody was indistinguishable from that of unliganded BG505 sgp140
SOSIP.664 (Fig. 3f). Thus, consistent with a
state-2-like conformation of gp120, BG505 sgp140 SOSIP.664—as an immunogen in
cows—elicits state-2-specific antibodies.
Extended Data Fig. 7 |
Antibodies isolated from cows immunized using BG505 sgp140 SOSIP.664
immunogens exhibit a preference for state 2.
a, FRET histogram of HIV-1BG505(T332N).
b, Neutralization curves of HIV-1BG505 by
NC-Cow1, NC-Cow8, NC-Cow9 and NC-Cow10 antibodies. Data are presented as
mean ± s.d. determined from three independent experiments in
triplicate. c–e, FRET histograms of native
HIV-1BG505 in the presence of 10 μg
ml−1 NC-Cow1 (c), NC-Cow8
(d) and NC-Cow10 (e). f, The FRET
histogram of HIV-1BG505 that carries the T332N substitution in
Env is overlaid with that of wild-type HIV-1BG505. The T332N
substitution in HIV-1BG505 Env does not detectably change the
conformation of the Env. g, h, Cow antibodies
(NC-Cow1, NC-Cow8, NC-Cow9 and NC-Cow10) shift the conformational landscape
of native Env on the virus from state 1 towards that of BG505 sgp140
SOSIP.664 (state 2). FRET population histograms (a,
c–e) represent mean ± s.e.m.,
from three independent populations of smFRET traces. i,
j, Ligand preferences for states 1 and 2 probed by antibody
staining of cell-expressed HIV-1JR-FL Env(ΔCT). Increasing
amounts of the first ligand were pre-bound to cells for 1 h. The cells were
washed, incubated with the second dye-labelled probe for 30 min, and the
binding was quantified by flow cytometry. The ratio of measured mean
fluorescence intensity (MFI) was normalized to that seen in the absence of
pre-bound ligand (Methods). Matched combinations (state 1 and state 1 or
state 2 and state 2) and non-matched combinations (state 1 and state 2 or
state 2 and state 1) at the highest concentration of pre-bound first ligand
were compared, and statistical significance was evaluated using a paired
Student’s two-sided t-test. *P
< 0.05. Note that the strong interference between
3BNC117 and PGT151 is due to a steric clash between the two antibodies, and
was included as a control.
We next tested whether state 1 or state 2 can be detected using classic antibody
staining of cell-expressed HIV-1 Env, followed by flow cytometry. HIV-1JR-FL
Env(ΔCT) that was pre-bound with BMS-626529, which stabilizes state 1, exhibited
no decrease—or a slight increase—in the binding of PGT122 and
10–1074 antibodies, which prefer state 1 (Extended
Data Fig. 7i). By contrast, pre-binding of ligands that prefer state 1
reduced the binding of the antibodies PGT151 and NC-Cow9, which are specific to state 2
(Extended Data Fig. 7i). Conversely, whereas
the state-2-specific antibodies NC-Cow9 and PGT151 did not interfere with one another,
the pre-binding of ligands specific to state 2 reduced the binding of ligands specific
to state 1 (Extended Data Fig. 7j). Therefore, the
distinct state 1 or state 2 preferences for Env by ligands can also be detected by
conventional bulk measurements.We considered the potential caveats of the tagging strategies and fluorophores
used in the smFRET approach, but we did not observe evidence of abnormal dye behaviour
or photophysical effects (Extended Data Fig. 8,
Methods, Supplementary Table
1). Control experiments in which the positions of donor and acceptor fluorophores
were reversed (Extended Data Fig. 8b–d) and fluorophores were attached via unnatural
amino acids rather than peptide epitope tags also revealed nearly identical smFRET
histograms (Extended Data Fig. 2h–l). We further validated the conclusions of the
smFRET approach by assessing HIV-1 Env conformations and dynamics from a distinct
structural perspective. Here we measured Env conformational dynamics using a
click-labelled unnatural amino acid at residue 542 (Arg542TAG) within gp41,
in combination with the A1 enzymatic labelling tag in the gp120 V4 region (V4–A1)
(Extended Data Fig. 9a). Compared with the
VlV4-labelled HIV-1JR-FL Env—in which the unliganded Env predominantly
resides in a low-FRET conformation (Fig. 4a, b)—the unliganded HIV-1JR-FL Env
labelled in V4-A1 of gp120 and on Arg542TAG in the α6 helix of gp41
(α6-Arg542TAG) largely exhibited a high-FRET state (Fig. 4c, d). The PGT151
ligand (which is specific to state 2) stabilized an intermediate-FRET state, and the 12
× CD4 ligand (which is specific to state 3) stabilized a low-FRET state in the
V4-A1, α6- Arg542TAG-labelled Env (Fig.
4c, d). The conformational landscape of
Env again exhibited three distinct FRET states, each of which were sampled by the
unliganded Env and differentially stabilized by PGT151 and 12×CD4. These findings
lend further support to our conclusion that states 1, 2 and 3 correspond to three
distinct conformations of the HIV-1 Env trimer (Fig.
4a–d).
Extended Data Fig. 8 |
Validating the behaviour of dyes used for smFRET.
a, The 50-ns molecular dynamics simulations of
fluorophore tumbling on the BG505 sgp140 SOSIP.664 trimer (4ZMJ) shows that
dyes in V1 and V4 are far from the viral membrane. Molecular dynamics
simulation was performed to account for movements of loops, enzymatic
labelling tags, linkers and dyes to describe the possible dye tumbling space
within 50 ns. The sampled space was docked into the approximately 20
Á structure of the HIV-1 virus Env spike determined by cryo-electron
tomography[4]. A
50-ns molecular dynamics simulation is not temporally comparable to the time
resolution of single-molecule imaging at 40 ms, or the timescale of observed
conformational changes of Env (milliseconds to seconds).
b–d, Conformational properties of the
HIV-1BG505 Env remain highly similar when the dyes are
flipped. b, Reference FRET histograms of HIV-1BG505
that carries Cy3B in V1 and Cy5 in V4, in unliganded form (from Fig. 1e), in the presence of PGT151 (from
Fig. 1h) or in the presence of
sCD4D1D2–Igαtp (from Fig. 2b). c, FRET histograms of
HIV-1BG505 Env that carries Cy5 in V1 and Cy3B in V4 (see
Methods), in the absence and in the
presence of 10 μg ml−1 PGT151 or 10 μg
ml−1 sCD4D1D2–Igαtp,
respectively. d, Overlaid conformational landscapes of
HIV-1BG505 Env labelled as in c with flipped
dyes (green), compared to HIV-1BG505 Env labelled as in
b (red). FRET population histograms represent mean ±
s.e.m., determined from three independent populations of smFRET traces.
Extended Data Fig. 9 |
Suppressed HIV-1JR-FL that carries amber positions in gp120
and gp41 enables smFRET imaging of Env from two distinct
perspectives.
a, Schematic of tagged sites in HIV-1JR-FL
Env that were used for enzymatic labelling and amber stop codon
(TAG)-suppressed incorporation of unnatural amino acids for click labelling.
HIV-1JR-FL V1–Q3 V4–A1 carries the Q3 peptide
in the V1 loop and the A1 peptide in the V4 loop. HIV-1 JR-FL
V1–Asn136TAG V4–A1 carries a TAG at position
Asn136 in V1 and the A1 peptide in V4. HIV-1JR-FL V4–A1
α6-Arg542TAG carries the A1 tag in gp120 V4 and a TAG
at Arg542 in the α6 helix of gp41. b,
c, Neutralization of HIV-1JR-FL wild type,
100%-peptide-tagged V1–Q3 V4–A1, 100%-amber-suppressed
V1–Asn136TAG V4–A1 and V4–A1
α6-Arg542TAG by
sCD4D1D2–Igαtp (b), and eCD4-Ig(Q40A,
mim2) (c). Neutralization curves (b,
c) represent mean ± s.d. from three replicates in
triplicates
Fig. 4 |
HIV-1 Env conformational states and dynamics monitored during activation from
two perspectives.
a-d, Three main conformational Env states can
be observed from two perspectives. V1–Q3 and V4–A1 double-labelled
HIV-1JR-FL Env (a, b), and
click-labelled HIV-1JR-FL with fluorophores in V4 of gp120 and
Arg542TAG in the α6 of gp41 (HIV-1JR-FL
V4–A1 α6–Arg542TAG) (c,
d) (see also Extended Data Fig.
9) identify preferentially occupied conformational states for the
unliganded, the PGT151-bound and the 12×CD4
(sCD4D1D2–Igαtp)-bound HIV-1JR-FL Env,
irrespective of the FRET values (quantified in b and
d). Unliganded, PGT151-bound and
sCD4D1D2–Igαtp-bound HIV-1JR-FL Env are as
in Extended Data Fig. 2e, and previously
reported[10]. Histograms
(a, c) present mean ± s.e.m., determined
from three independent populations of smFRET traces. e–j,
Temporal progression of the Env conformational landscape, monitored from both
perspectives, upon binding of the potent bifunctional eCD4–Ig(Q40A, mim2)
ligand at 100 μg ml−1 (Extended Data Fig. 9c). Conceptual presentation of labelling
positions (e, f), three-dimensional time-resolved FRET
histograms (g, h, two replicates) and relative state
occupancies observed over 60 min (i, j) of
click-labelled HIV-1JR-FL V1–Asn136TAG V4–A1
and V4–A1 α6–Arg542TAG upon addition of
eCD4–Ig(Q40A, mim2). FRET data from 15-min intervals were combined into
three-dimensional time-correlated histograms. Relative state occupancies
(b, d, i, j) are
presented as mean ± s.e.m., derived from histograms (a,
c, g, h), respectively. The
determining parameters are listed in Extended
Data Table 1.
We further monitored how HIV-1 Env is progressively activated by the potent
bifunctional inhibitor eCD4-Ig(Q40A, mim2)[29]. HIV-1JR-FL with the Env labelled at Asn136 in V1 and
V4–A1 or with the Env labelled at Arg542TAG in α6 and V4-A1 was
immobilized and continuously monitored over 60 min, after addition of eCD4-Ig(Q40A,
mim2) (100 μg ml−1) (Fig.
4e–j, Extended Data Fig. 9). Consolidating movies from 15-min
intervals into FRET histograms (Fig. 4g, h) clearly revealed a time-dependent progression from
state 1 through state 2 to state 3, independent of labelling strategy and structural
perspective (Fig. 4i, j). These results confirm at the population level that—when activated
synchronously—HIV-1 Env progressively transitions through the conformational
states that have previously been identified as representing pre-triggered, default
intermediate- and CD4-activated states of the Env trimer. Thus, the state 1 conformation
of Env serves as a starting point for the temporal transitions that lead to downstream
events related to membrane fusion.These findings collectively suggest that extant high-resolution structures of
the HIV-1 Env trimer closely resemble those of the state 2 intermediate, which is only
transiently populated on the surface of native virus. The structure of pre-triggered
state 1 remains unknown. Although state 2 is on a path to HIV-1 Env activation, state 1
is the predominant Env conformation that is found on the surface of most primary, and
transmitted/founder HIV-1 isolates. Importantly, the structurally uncharacterized state
1 Env is a biologically relevant conformation that is preferentially bound by many
broadly neutralizing antibodies. Evidence that the BG505 sgp140 SOSIP.664 proteins are
in a conformation that is distinct from the native Env is also emerging from
cross-linking studies[30]. These
findings warrant focused initiatives to define the structure, molecular determinants and
capacity of the state-1 conformation of Env to elicit broadly neutralizing
antibodies.
METHODS
No statistical methods were used to predetermine sample size. The
experiments were not randomized and investigators were not blinded to allocation
during experiments and outcome assessment.
Preparation of tagged viruses
HIV-1BG505, HIV-1JR-FL and
HIV-1nl4–3 viruses with Env that is double-tagged at
V1–Q3 and V4–A1 were prepared for smFRET imaging, as previously
described[8,10]. The double-tagged V1–Q3
V4–A1 Env carries a 6-amino acid Q3 tag in variable loop V1 and a
12-amino acid A1 tag in variable loop V4 (Q3, GQQQLG; Al, GDSLDMLEWSLM).
HIV-1BG505, HIV-1JR-FL and
HIV-1nl4–3 viruses with tagged Env were functionally
validated before use[8,10]. For smFRET imaging, HIV-1 viruses were
prepared as replication-incompetent particles that lack reverse transcriptase
(ΔRT). A ratio 40:1 of wild-type gene:gene encoding the tagged Env was
used to ensure that on average only one tagged protomer was available for
imaging on a single virus particle[8,10]. Then,
enzymatically tagged HIV-1BG505 virus was generated by
co-transfecting HEK293 cells with a 40:1 ratio of wild-type full-length
HIV-1BG505 Q23 ΔRT plasmid to Env tagged with V1–Q3
and V4–A1 HIV-1BG505 Q23 ΔRT plasmid (Extended Data Fig. 1a). HIV-1JR-FL viruses
with a tagged Env were produced by pseudotyping a pNL4–3 ΔEnv
(that is, lacking the gene for Env) ΔRT backbone with
HIV-1JR-FL Env (Extended Data Fig.
2h, middle). A 40:1 plasmid ratio of Env expressing wild-type JR-FL
gp160 pCAGGS and V1–Q3- and V4–Al-tagged JR-FL gp160 was
co-transfected into HEK293 cells, along with the same amount of the
pNL4–3 ΔEnv ΔRT plasmid. Double-tagged
HIV-1JR-FL Env( ΔCT) was generated as above, with plasmids
that encode JR-FL Env( ΔCT) and double-tagged JR-FL Env( ΔCT).
Tagged HIV-1BG505 Env mutants that contain A501C and T605C (SOS),
I559P or SOS and I559P, and HIV-1JR-FL SOS virus were prepared using
the same ratio 40:1 of non-tagged Env SOS (or I559P, or SOS and I559P) to Env
mutant SOS (or I559P, or SOS and I559P) and double-tagged with V1-Q3 and
V4–A1. Double-tagged full-length HIV-1nl4–3 was made by
co-transfecting HEK293 cells with a 40:1 ratio of wild-type, fulllength HIV-1
pNL4–3 ΔRT plasmid to double-tagged HIV-1 V1–Q3 and
V4–A1 pNL4–3 ΔRT plasmid.Labelled HIV-1BG505 and HIV-1JR-FL viruses that
carry dyes at single point substitutions (instead of enzymatic labelling
peptides) were generated by suppression of amber (TAG) stop codons to introduce
a clickable unnatural amino acid, followed by copper-free click chemistry to
introduce the fluorophore[21].
Our system is based on an amber suppressor tRNA and the Y306A Y384F mutant of
the Methanosarcina mazei pyrrolysine aminoacyl-tRNA-synthetase
(PylRSAF) that accepts the clickable unnatural amino acid transcyclooct-2-ene
lysine (TCO*, Sichem)[21]. In
our laboratory, generation of HIV-1 viruses carrying Env with amber-suppressed
clickable unnatural amino acids can be accomplished in one of three ways: (1) by
using an engineered amberless full-length HIV-1BG505 Q23 genome that
lacks all other TAG stop codons (a single TAG amber stop codon is introduced
into Env of the full-length genome); (2) by using an expression plasmid for the
gp160 of JR-FL (TAG introduced only into Env pcDNA3 expression plasmid) in
combination with GagPol and long terminal repeat packaging plasmids; or (3) in
combination with the amberless full-length HIV-1BG505 Q23 genome that
lacks Env (ΔEnv). For example, HIV-1BG505 viruses labelled at
Ser401TAG in V4 and V1–Q3 (Extended Data Fig. 2h, bottom), which carry the clickable unnatural
amino acid TCO* at position Ser401TAG in V4 and the Q3 tag in V1,
were produced by transfecting an engineered amberless full-length
HIV-1BG505 Q23 ΔRT genome, an Env mutant that carries a
single amber codon at position Ser401TAG, and a bi-cistronic plasmid
that carries the amber suppressor tRNA and PylRSAF (1/3 of the amount of the
plasmid that encodes the gene for Env). The unnatural amino acid TCO* was added
to the amber suppression transfection system at 250 μM. Clickable
HIV-1JR-FL virus (V1–Asn136TAG V4–A1)
was produced by transfecting an amberless Q23 backbone ΔEnv ΔRT
and a JR-FL Env mutant that carries a single amber codon at position
Asn136TAG in V1 and the A1 tag in V4 (Extended Data Fig. 2h). HIV-1JR-FL virus
V4-A1 α6-Arg542TAG (Extended
Data Fig. 9a) was produced by transfecting an amberless Q23 backbone
ΔEnv ΔRT and a JR-FL Env mutant that carries the A1 tag in the
gp120 V4 loop and an amber in position Arg542 in the α6 helix of gp41,
respectively.Tagged viruses were collected 40 h after transfection, filtered and
concentrated by centrifugation over a 15% sucrose cushion at 25,000 r.p.m.
(SW28, Beckman Coulter) for 2 h and resuspended in labelling buffer (50 mM pH
7.5 HEPES, 10 mM MgCl2, 10 mM CaCl2).
Preparation and validation of tagged BG505 sgp140 SOSIP.664
Positions in native HIV-1BG505 Env at which the enzymatic
labelling peptides (Q3, GQQQLG; A1, GDSLDMLEWSLM) are tolerated in the
respective V1 and V4 variable regions of gp120 without affecting Env expression,
processing, virus incorporation and virus infectivity have previously been
identified[10]. The
short Q3 and A1 peptides were then introduced at identical positions into V1 and
V4 (V1–Q3 and V4–A1) of BG505 sgp140 SOSIP.664 or
DS-SOSIP.Mut4[20] (Extended Data Fig. 1a). For purification and
immobilization for total internal reflection fluorescence microscopy, the BG505
sgp140 SOSIP.664 also carried a D7324 affinity tag[11].The BG505 sgp140 SOSIP.664 trimers were produced by transfection of
HEK293 Freestyle (293F) cells with plasmids that encode the respective proteins,
and the protein was purified from the serum-free culture supernatant. To
generate double-tagged BG505 sgp140 SOSIP.664, we chose plasmid transfection
conditions that favour an excess of trimers that carry only one double-labelled
protomer over trimers that contain two or three double-labelled protomers. In
brief, assuming random assembly into a trimer, the number of V1V4-tagged BG505
sgp140 SOSIP.664 protomers in a trimer follows a binomial distribution. In the
case of the ratio of 20:1 of wild-type to V1V4-tagged protomers, statistics
predict that 86.38% of the BG505 sgp140 SOSIP.664 trimer remains untagged,
12.96% contains only a single double-tagged protomer, 0.65% has two
double-tagged protomers and 0.01% contains all protomers tagged. Among tagged
BG505 sgp140 SOSIP.664 trimeric proteins, more than 95% contain only a single
double-tagged gp120, with the remaining two gp120 subunits in the trimer being
wild type. As only the fluorescently labelled protein will be seen by total
internal reflection fluorescence microscopy, this procedure guarantees that the
vast majority of Env trimers that we studied carry a single double-labelled
gp120 subunit.BG505 sgp140 SOSIP.664 in the presence of a plasmid that expresses
furin. In brief, 100% BG505 sgp140 SOSIP.664 and 100% V1V4-tagged BG505 sgp140
SOSIP.664 were generated by transfecting only one of the plasmids, together with
a plasmid that expresses furin. Subsequently, 36 h after transfection, cells
were removed from the serum-free supernatant by centrifugation at 6,000g. The
Env trimers in the supernatant were then purified by affinity chromatography
using a 2G12 antibody (Polymun Scientific), which was coupled to CNBr Sepharose
4B beads (GE Healthcare). Bound Env trimers were eluted with 3 M MgCl2 and
diluted immediately in 20 mM Tris, 100 mM NaCl, pH 8.0. The sample was
concentrated and further purified by size-exclusion chromatography in 100 mM
phosphate, 100 mM NaCl, pH 7.4 buffer using a Superose 6 10/30 column (GE
Healthcare). Peaks that corresponded to trimeric fractions were collected and
used for the experiments.The immunogenic and structural features of the 20:1 and 100% tagged
BG505 sgp140 SOSIP.664 proteins were evaluated using enzyme-linked immunosorbent
assay (ELISA) and electron microscopy (Extended
Data Fig. 1b). In brief, 96-well plates were coated with a panel of
anti-Env antibodies overnight at room temperature, then washed and blocked with
5% BSA. Plates were further incubated with BG505 sgp140 SOSIP.664 trimers for 1
h at 37 °C, followed by extensive washing and incubation with a rabbit
anti-gp120 HRP polyclonal antibody (Abcam) for 1 h at 37 °C. HRP signal
was measured using a Western Lighting oxidizing and luminol reagent (Perkin
Elmer Life Sciences). Light emission was measured with a Mithras LB 940
luminometer. Each ELISA was repeated at least six times, and averaged.We further evaluated the trimeric structures using negative-staining
electron microscopy. The purified 20:1 tagged BG505 sgp140 SOSIP.664 trimers (5
μl at 100 μg/ml) were adsorbed to a glow-discharged carbon-film
grid, stained with 2% uranyl acetate and imaged on an FEI Tecnai F20
transmission electron microscope with a 4,000 × 4,000 CCD camera (80 keV,
50,000× magnification, 40 electrons per Ångstrom2).
Approximately 20,000 particles were selected from the micrographs and assembled
into class averages using common-lines methods in EMAN2.1[31], in a reference-free manner. C3 symmetry
was imposed during the reconstruction/refinement.In addition to the BG505 sgp140 SOSIP.664 trimers prepared in the
Sodroski laboratory, two tagged BG505 sgp140 SOSIP.664 trimers were generated
and purified in the Kwong laboratory. In the latter case, the 20:1 wild-type to
V1V4-tagged BG505 sgp140 SOSIP.664 proteins were generated similarly to the
method described above, but molecules that expose the V3 loop were negatively
selected using an anti-V3 antibody cocktail as previously described[18]. In addition, the stabilized
sgp140 SOSIP.664 variant (DS-SOSIP.Mut4) was purified as previously
described[20]. Both
purified protein preparations were assessed using Meso Scale Discovery
electrochemiluminescence immunoassay (Extended
Data Fig. 1c). In brief, 96-well Multi-Array MSD plates (catalogue
number L15XA-3) were coated with a panel of HIV-1 neutralizing antibodies:
CD4-induced (17 and 48b, with and without sCD4), CD4 binding site (VRC01, VRC03,
b12 and F105), V2 apex-directed antibodies (PGT145 and VRC26.25), glycan V3
site-directed antibodies (2G12, PGT121 and PGT128) and weakly neutralizing
V3-directed antibodies (447–52D, 3074 and 2557, with and without soluble
CD4), gp41-gp120 interface antibodies (PGT151, 35O22, 8ANC195 and VRC34.01) and
a negative control antibody CR9114 (an influenza virus antibody that does not
recognize HIV-1 Env) in duplicate (30 μl per well) at an antibody
concentration of 4 μg/ml in PBS buffer. The plates were incubated
overnight at 4 °C. The next day, the plates were washed (0.05% Tween 20
in PBS) and blocked with 150 μl blocking buffer (5% MSD blocker A,
catalogue number R93BA-4; MSD) for 1 h on a vibrational shaker at 650 r.p.m. at
room temperature. Where indicated, 1 μM sCD4 was added to BG505 sgp140
SOSIP.664 trimers, before they were added to the MSD plate. Both BG505 sgp140
DS-SOSIP.664 and sgp140 DS-SOSIP.Mut4 trimers were titrated in serial twofold
dilutions, starting from 5.0 μg/ml. The serially diluted trimers were
then transferred (25 μl/well) to the MSD plates above, and incubated for
2 h with shaking at 650 r.p.m. at room temperature. After the plates were washed
several times, 2G12 and Sulfo-Tag (catalogue number R91AO-1; MSD) at 2
μg/ml were added to the plates (25 μl per well), and further
incubated for 1 h with shaking as above. After the washing step, the plates were
read using read buffer (catalogue number R92TC-1; MSD) on an MSD Sector Imager
2400.
Preparation of fluorescently labelled viruses and BG505 sgp140 SOSIP.664
trimers
The Q3 and A1 double-tagged viruses and BG505 sgp140 SOSIP.664 trimers
allowed the incorporation of Cy3B (Cy3B(3S)-cadaverine) and Cy5 (Cy5(M3)-CoA;
LD650-CoA) for the real-time observation of relative movements of V1 and V4 in
the gp120 subunit of an individual trimer using smFRET[8,10,14]. For labelling, the
sucrose-purified tagged viruses were resuspended in 50 mM HEPES buffer (pH 7.5,
10 mM MgCl2 and 10 mM CaCl2) containing
Cy3B(3S)-cadaverine (0.5 μM), transglutaminase[32] (0.65 μM; Sigma Aldrich),
LD650-CoA (0.5 μM) (Lumidyne Technologies) and AcpS[33] (5 μM, Abcam) and incubated at
room temperature. In Extended Data Fig.
8b–d, Cy3B(3S)-CoA and
Cy5(M3)-cadaverine were used instead of Cy3B(3S)-cadaverine and Cy5(M3)-CoA. For
click labelling, Env variants that carry TCO* were clicked using H-tetrazine
conjugates of Cy3 or Cy5 (Lumidyne Technologies). PEG2000-biotin (Avanti Polar
Lipids) was added to the labelling reaction at a final concentration 0.02 mg/ml,
and incubated for an additional 30 min before the virus was purified by
ultracentrifugation at 40,000 r.p.m. (SW41, Beckman Coulter) over a 6–18%
Optiprep (Sigma Aldrich) gradient. The biotin-lipid facilitates the
immobilization of the samples on the streptavidin-coated microfluidic sample
chambers.BG505 sgp140 SOSIP.664 proteins with a 20:1 ratio of
wild-type:V1V4-tagged gp120 were enzymatically labelled with donor and acceptor
fluorophores in the labelling buffer described above, at 37 °C for 48 h,
and purified away from free dye using Zeba spin desalting columns (Thermo
Fisher). For the immobilization on passivated streptavidin-coated microfluidic
imaging chambers, the BG505 sgp140 SOSIP.664 protein was incubated with the
anti-HIV-1 gp120 D7324 antibody (Aalto Bio Reagents) at 4 °C overnight
followed by a 2-h incubation on ice with the secondary biotinylated rabbit
anti-sheep IgG (H+L) antibody (Thermo Fisher).
smFRET data acquisition and analysis
All smFRET imaging was acquired on a in-house-built total internal
reflection fluorescence microscope, as described[8,34]. Microfluidic imaging chambers passivated with a mixture of PEG
and biotin-PEG were coated with streptavidin (Invitrogen). Fluorescently
labelled virions and BG505 sgp140 SOSIP.664 proteins were then immobilized on
passivated streptavidin-coated microfluidic imaging chambers. Donor fluorophores
were excited by the evanescent field generated by total internal reflection of a
532-nm diode-pumped solid-state laser (Opus, Laser Quantum). Donor and acceptor
fluorescence was collected through a 60 × 1.27-NA water-immersion
objective (Nikon), spectrally split by a MultiCam-LS device (Cairn) with a
dichroic filter (Chroma), and recorded by two synchronized ORCA-Flash4.0v2 sCMOS
cameras (Hamamatsu). Movies were recorded at 25 frames per second for 80 s,
using custom software implemented in LabView (National Instruments). All smFRET
imaging was performed in buffer containing 50 mM Tris (pH 7.4), 50 mM NaCl, a
cocktail of triplet-state quenchers[35] and 2 mM protocatechuic acid (PCA) with 8 nM
protocatechuic-3,4-dioxygenase (PCD) to remove molecular oxygen[36]. Under ligand- and
antibody-binding conditions, all of the ligand and antibody concentrations were
~5-fold above the 95% inhibitory concentration unless indicated otherwise. Where
indicated, fluorescently labelled virus and/or BG505 SOSIP.664 trimers were
pre-incubated with 10 μg/ml PGT151, 10 μg/ml sCD4D1D2-Igatp, 100
μM inhibitors (BMS-378806 and BMS-626529), 50 μg/ml broadly
neutralizing antibodies (bNAbs) (3BNC117, PG9 or 10–1074, NIH AIDS
Reagents Program), 100 μg/ml non-neutralizing antibodies (17b or F105)
for 30 min at room temperature before imaging.All data analysis was performed using the customized MATLAB (Mathworks)
program SPARTAN[34]. The
background signal was identified at the fluorophore bleaching point and
subtracted from the fluorescence signal. Donor and acceptor fluorescence
intensity trajectories were extracted from movies, and used to calculate FRET
efficiency according to FRET = Ia/(γ
Id + Ia), in which
Id and Ia are
the fluorescence intensities of donor and acceptor, respectively, and
γ is the correlation coefficient, correcting for the
difference in detection efficiencies of the donor and acceptor channels. FRET
trajectories identified on the basis of the criteria of sufficient S:N ratio,
anti-correlated features between donor and acceptor intensity, single dye
photobleaching and fluorescence lifetime were compiled into FRET histograms.
Only one protomer carrying two dyes within one trimer on one virion
(1-protomer:1-trimer:1-virion) that showed clear anti-correlated features of
donor and acceptor fluorescence and single fluorescence bleaching point met our
criteria. A single bleaching point was used to filter out rarely observed
multiple donors and acceptors or even the rare aggregates. The FRET histograms
were fit to the sum of three Gaussian distributions (with means and variances,
Extended Data Table 1) in MATLAB on
the basis of the observation of original FRET signals and hidden Markov
modelling[8,10]. We used hidden Markov modelling to fit
the data with a three-state Markov model that gave a smaller log-likelihood
value than a two-state Markov model. Fitting the data into a four-state model
did not lower the log-likelihood value. Therefore, at present, a three-state
Markov model provides the simplest explanation of the data. For signals obtained
from the Env of different HIV-1 strains, and viruses with different tags, the
shapes of Gaussian distributions vary slightly. Therefore, the mean of each FRET
state was determined for each labelled virus separately (Extended Data Table 1). The occupancy of each state
was determined by the area under each Gaussian distribution (Extended Data Table 1). Transition density plots
(Extended Data Fig. 4), which display
the relative frequency of state-to-state transitions, were idealized using a
segmental k-means algorithm[37].
Extended Data Table 1 |
Relative occupancies and determining parameters in each of three
observed FRET states
The FRET histograms were carefully fitted into the sum of three
Gaussian distributions with defined means and variances for each state,
based on observation of original FRET signals and determined using
hidden Markov modelling. μ, the mean or
expectation of the Gaussian distribution; σ, s.d. of the Gaussian
distribution. For FRET data obtained from different HIV-1 Env strains,
or the same strains with different labelling positions or that contain
or lack labelling peptides, the shapes of Gaussian distributions may
vary slightly. These HIV-1 Env variants were therefore analysed and
grouped separately. Relative state occupancies are presented as mean
± s.e.m., determined from three independent measurements.
R2 values were calculated to evaluate
the goodness of fit.
Besides the observations of the same three conformational states from
two different structural perspectives (Fig.
4), several other observations support the existence of the state 1
conformation of Env. First, the low-FRET value of V1V4-labelled Env represents a
defined conformational state that is clearly separated from background, as
evidenced by discrete photobleaching events[8,10] (Fig. 1c, d, 2a, 3a, c, e, Extended
Data Fig. 4a, b). Second, the
occupancy of state 1 changes in response to biologically relevant Env ligands
(as described here and in previous studies[8,10]). Third, the
low-FRET state is not simply a consequence of non-specific fluorophore
interactions with Env or viral membranes, as neither fluorophore associated with
virus preparations in the absence of enzymatic labelling tags[8,10]. Dyes in the V1 and/or V4 positions for single- or
double-labelled virus, or BG505 sgp140 SOSIP.664, exhibit fluorescence lifetimes
that are similar to those of free dyes (Supplementary Table 1). Moreover,
molecular dynamics simulations performed for the loops, enzymatic labelling
tags, linkers and dyes using known structures revealed that the V1 and V4
positions are distal to the viral membrane (Extended Data Fig. 8a). Fourth, reversing the positions of donor and
acceptor fluorophores on the virus revealed nearly identical smFRET histograms
for the unliganded Env, as well as similar responses to ligands (Extended Data Fig. 8b–d). Fifth, the predominance of state 1 for the
unliganded Env and the stabilization of state 2 in the presence of PGT151 were
reproduced when V1 and V4 peptide epitope tags were replaced with labelled
unnatural amino acids (Extended Data Fig.
2h–l).
Molecular dynamics simulations
Atomic coordinates for the BG505 sgp140 SOSIP.664 trimer were obtained
from the Protein Data Bank (accession code 4ZMJ). Coordinates for the Q3 and A1
peptides, and for the missing amino acids in the V4 loop, were generated in
PyMol (Schrodinger), and inserted into one gp120 domain in the 4ZMJ BG505 sgp140
SOSIP model, using LEaP in the AmberTools software package. The modified BG505
sgp140 SOSIP trimer was charge-neutralized, and solvated in explicit water using
the TIP3P solvent model with periodic boundary conditions in LEaP. The protein
was parameterized with the amber force field (ff14SB). The system was then
energy-minimized and equilibrated in the NPT ensemble, using NAMD version
2.12.Atomic coordinates for the Cy3B and Cy5 fluorophores and linkers were
generated in PyMol. The geometry of the fluorophores was first optimized at the
AM1 level of theory, using the sqm program in AmberTools. Further geometry
optimization and electrostatic potential calculations were then performed at the
‘HF/6–31G(d)’ level of theory in Gaussian 9 (Gaussian).
Partial atomic charges were then determined by restrained electrostatic
potential fitting in antechamber in AmberTools. Atom types and force-field
parameters were taken from the generalized amber force field (GAFF2). The
fluorophores and linkers were then bound to the Q3 and A1 peptides in the BG505
sgp140 SOSIP.664 model using LEaP. Three unique starting positions for each
fluorophore were generated by randomizing the torsion angles of the fluorophore
linkers. Again, the systems were charge-neutralized and solvated, and minimized
and equilibrated in the NPT ensemble. Only the V1 and V4 loops, the Q3 and A1
peptides, the linkers, the fluorophores and the solvent were allowed to move;
the positions of all core SOS and I559P trimer atoms were fixed. Temperature and
pressure were maintained at 300 K and 1 atm, using Langevin dynamics and the
Nose-Hoover Langevin piston method, respectively. Subsequently, 50-ns
simulations were run using NAMD on the Stampede2 machine at the Texas Advanced
Computing Center.
Infectivity and titration measurements
The infectivity of HIV-1BG505 or HIV-1JR-FL with
wild-type or mutant Env that carries SOS, I559P or SOS and I559P
mutations—or amber-suppressed Env—was determined using a vector
containing an HIV-1 long terminal repeat that expresses a Gaussia luciferase
reporter[8,38]. In brief, HIV-1BG505 viruses
that carry wild-type or mutant Env were generated by transfecting 60–80%
confluent HEK293 cells with full-length HIV-1BG505 Q23[39] and an intron-regulated
luciferase reporter plasmid (HIV-1-InGluc) at a ratio of 6:1 using Fugene 6
(Promega). Transfection of HIV-1BG505 or HIV-1JR-FL with
Env that carries amber TAG codons included plasmids that encode the amber
suppressor tRNA and PylRSAF (1/3 of the amount of the plasmid carrying the gene
for Env) and 250 μm TCO*. Culture supernatant was collected 40 h after
transfection, filtered through a 0.45-μm filter (Pall) and titred on
TZMbl cells. Gaussia luciferase activity was measured at 48 h after infection
using a Gaussia luciferase substrate (NEB). Neutralization assays were conducted
by incubating viruses with ligands or antibodies at the indicated concentrations
for 30 min at room temperature, before addition to TZMbl cells. The level of
infection relative to that seen in the absence of ligand or antibody is
reported.
Flow cytometry
The binding preferences of ligands and antibodies for Env conformational
states of wild-type HIV-1JR-FL Env(ΔCT) were assessed by flow
cytometric analysis. Antibody combinations (first pre-bound + second probe)
(Extended Data Fig. 7i, j) with known Env binding-site competition
were not included into the analysis. In our experiments, 3 ×
105 HEK293T cells were transfected by the calcium phosphate
method with the HIV-1JR-FL Env(ΔCT)-expressing plasmid along with a
pIRES-GFP vector, at a ratio of 2 μg of pcDNA3.1 HIV-1JR-FL
Env(ΔCT) to 0.5 μg of GFP-expressing plasmid. Then, 16 h after
transfection, cells were washed with fresh medium (DMEM) and epitope exposure
was evaluated 24 h later. Alternatively, transfected HEK293T cells were
incubated for 1 h at room temperature with increasing concentrations of
first-pre-bound BMS-529 (0–200 μM) before detection with
second-probe anti-HIV-1 Env monoclonal antibodies (1 μg/ml PGT122,
10–1074, 3BNC117, PGT151 and NC-Cow9 antibody isolated from BG505 sgp140
SOSIP.664-immunized cows) that were conjugated using cyanine-based far-red
fluorescence dye (Mix-n-Stain CF-647 Antibody labelling kit, Sigma). The largely
conformation-independent anti-gp120 outer domain 2G12 antibody was used to
monitor Env expression on the cell surface. For antibody competition assays,
transfected cells were incubated with increasing concentrations of
first-pre-bound anti-HIV-1 Env monoclonal antibodies 3BNC117, 10.1074, PGT122,
PGT151 and NC-Cow9 (0, 1, 5 or 10 μg/ml) for 1 h at room temperature,
followed by a 30-min incubation at room temperature with second-probe anti-HIV-1
Env antibodies coupled to C-F 647. Antibody binding was detected by gating on
GFP-positive cells with an LSRII cytometer (BD Biosciences). Data analysis was
performed using FlowJo v.X.0.7 (Tree Star). Mean fluorescence intensity,
indicating the level of second-probe binding, was normalized to that seen in the
absence of first-pre-bound ligand. Data are from experiments that were repeated
at least five independent times, and averaged.
Authors: Maolin Lu; Xiaochu Ma; Nick Reichard; Daniel S Terry; James Arthos; Amos B Smith; Joseph G Sodroski; Scott C Blanchard; Walther Mothes Journal: J Virol Date: 2020-08-17 Impact factor: 5.103
Authors: Rajesh P Ringe; Philippe Colin; Jonathan L Torres; Anila Yasmeen; Wen-Hsin Lee; Albert Cupo; Andrew B Ward; P J Klasse; John P Moore Journal: J Virol Date: 2019-12-12 Impact factor: 5.103
Authors: Gwo-Yu Chuang; Yen-Ting Lai; Jeffrey C Boyington; Cheng Cheng; Hui Geng; Sandeep Narpala; Reda Rawi; Stephen D Schmidt; Yaroslav Tsybovsky; Raffaello Verardi; Kai Xu; Yongping Yang; Baoshan Zhang; Michael Chambers; Anita Changela; Angela R Corrigan; Rui Kong; Adam S Olia; Li Ou; Edward K Sarfo; Shuishu Wang; Winston Wu; Nicole A Doria-Rose; Adrian B McDermott; John R Mascola; Peter D Kwong Journal: J Virol Date: 2020-06-16 Impact factor: 5.103