Pulsed electron-electron double resonance (PELDOR) is an electron paramagnetic resonance (EPR) spectroscopy technique for nanometer distance measurements between paramagnetic centers such as radicals. PELDOR has been recognized as a valuable tool to approach structural questions in biological systems. In this manuscript, we demonstrate the value of distance measurements for differentiating competing structural models on the dimerization of the effector domain (ED) of the non-structural protein 1 (NS1) of the influenza A virus. Our results show NS1 to be well amenable to nanometer distance measurements by EPR, yielding high quality data. In combination with mutants perturbing protein dimerization and in silico prediction based on crystal structures, we can exclude one of two potential dimerization interfaces. Furthermore, our results lead to a viable hypothesis of a NS1 ED:ED interface which is flexible through rotation around the vector interconnecting the two native cysteines. These results prove the high value of pulse EPR as a complementary method for structural biology.
Pulsed electron-electron double resonance (PELDOR) is an electron paramagnetic resonance (EPR) spectroscopy technique for nanometer distance measurements between paramagnetic centers such as radicals. PELDOR has been recognized as a valuable tool to approach structural questions in biological systems. In this manuscript, we demonstrate the value of distance measurements for differentiating competing structural models on the dimerization of the effector domain (ED) of the non-structural protein 1 (NS1) of the influenza A virus. Our results show NS1 to be well amenable to nanometer distance measurements by EPR, yielding high quality data. In combination with mutants perturbing protein dimerization and in silico prediction based on crystal structures, we can exclude one of two potential dimerization interfaces. Furthermore, our results lead to a viable hypothesis of a NS1 ED:ED interface which is flexible through rotation around the vector interconnecting the two native cysteines. These results prove the high value of pulse EPR as a complementary method for structural biology.
Influenza A viruses
remain a continuing threat to public health.[1] In addition to seasonal epidemics, the virus
has the potential to cause worldwide pandemics, such as the 2009 H1N1
“swine flu” outbreak. Recent cases of H7N9 and H5N1
avian influenza in Asia have caused widespread alarm and serve as
a reminder that the next pandemic could come sooner rather than later.The multifunctional NS1 (non-structural 1) protein of influenza
A has been proposed to interact with a wide range of cellular and
viral factors.[2,3] Most notably, expression of NS1
suppresses stimulation of the innate immune response through interactions
with cellular pathogen recognition receptors (e.g., RIG-I and TRIM25),[4,5] by suppression of the host mRNA maturation via binding to the cellular
and splicing processivity factor 30 (CPSF30)[6] and by sequestration of double stranded RNA (dsRNA) produced during
viral infection.[7] Furthermore, NS1 stimulates
viral growth through interactions with phosphoinositide-3-kinase (PI3K)[8] and the transcription factor eIF4E.[9] Added to these are a variety of other proteins
to which NS1 binding has been shown but the functional relevance is
unknown. NS1 is a small (26 kDa) protein comprised of two domains:
an N-terminal RNA binding domain (RBD, residues 1–72), connected
by a short linker to a C-terminal effector domain (ED, residues 83–203),
and followed by a 27–34 residue disordered tail. Both domains
form homodimeric interactions, and the full-length protein can oligomerize
at higher concentrations.[10−15] While the dimer interface of the RBD is unambiguous, several dimer
interfaces have been proposed for the ED, based upon X-ray crystallography
of the ED and full-length NS1 protein (see Figure 1).[10,13,16]
Figure 1
Dimerization
states of the domains of NS1: (top) strand–strand
ED dimer; (middle) helix–helix ED dimer; (bottom) RBD dimer.
Protein shown as green and beige cartoon. In the top and middle parts,
residues Cys116 and Trp187 are shown as ball-and-stick in cyan and
magenta, respectively. In the bottom part, Cys13 is shown as ball-and-stick
in cyan.
Dimerization
states of the domains of NS1: (top) strand–strand
ED dimer; (middle) helix–helix ED dimer; (bottom) RBD dimer.
Protein shown as green and beige cartoon. In the top and middle parts,
residues Cys116 and Trp187 are shown as ball-and-stick in cyan and
magenta, respectively. In the bottom part, Cys13 is shown as ball-and-stick
in cyan.More specifically, from the initial
crystal structure of the ED,
a dimer interface mediated by β-strand interactions was proposed
(termed here the strand–strand dimer).[10] Subsequent crystal structures of the ED lacked this interface but
contained a separate contact, also present within the crystal matrix
of the first structure but initially discarded due to a slightly smaller
interface surface area. In this case, the interface was mediated by
contact between α-helices (termed the helix–helix dimer).[13,17−19] Proponents of the stand–strand interface have
suggested these differences may be due to strain-specific effects;[20] however, a survey of all wild-type NS1 ED crystal
structures demonstrated the helix–helix interface to be the
only universally present (for details, see the Supporting Information).[18] Notably,
this helix–helix dimer has been described as the dominant ED:ED
interaction under more physiologically relevant conditions in solution
by recent NMR studies using the NS1 Udorn strain.[21,22] Furthermore, incorporation of mutations (Trp187Ala or Trp187Arg)
at this dimer interface was sufficient to prevent interaction as observed
by both NMR and crystallography.[13,18,22−24] Significantly, these mutations
have been associated with decreased pathogenesis in vivo and a loss of RNA binding in vitro, further strengthening
the physiological importance of ED dimerization at the helix–helix
interface.[18,22,25] More recently, several further interfaces have been proposed from
contacts within the crystal lattice of full-length structures of NS1,
although these models remain at a very early stage.[16]While NMR analysis of the RBD dimer has been achieved,[12] due to the size of the ED dimer, the only full
NMR solution-state structure of the ED has required disrupting dimerization
by incorporation of the Trp187Arg mutation.[22] However, additional data from chemical shift perturbations and 15N T1/T2 relaxation times from wild-type and monomeric (Trp187Arg) EDs allowed
mapping dimerization to the helix–helix interface.[22] More recently, elegant studies using 19F NMR of 5-F-Trp labeled NS1 demonstrated that Trp187 is buried in
the context of the isolated ED but exposed in the full-length constructs.[21] Furthermore, this study supported the notion
of plasticity at the helix–helix interface, as T2 relaxation times indicated a conformational change within
the ED dimer 3 orders of magnitude faster than the exchange between
monomer and dimer states, which could be monitored using the 19F resonance of Trp187. These studies support the hypothesis
of a flexible ED dimer interface, previously postulated from variations
observed within crystal structures,[18] with
exchange between two or more conformations on the microsecond-to-millisecond
time scale.[21] However, while the presence
of multiple conformations is evident from 19F line broadening
of the Trp187 signal, further information is needed for complete characterization.
In particular, whether this heterogeneity consists of a number of
discrete conformations or a spectrum of positions awaits clarification.
Additionally, more information on the populations of any such conformations
and the amplitudes of conformational changes in solution is needed.Pulse EPR distance measurements[26] in
combination with site-directed spin labeling[27] have yielded precise distance and geometry information on proteins
in frozen aqueous buffer solutions. In particular, the pulsed-electron
double resonance (PELDOR) method also known as double electron–electron
resonance (DEER)[28] has been widely employed
to gather geometry constraints on soluble and membrane proteins,[29] nucleic acids,[30] and
synthetic test samples.[28] While this approach
will commonly generate distance constraints too sparse for de novo structure determination, it can be extremely valuable
in confirming or rejecting structures obtained by other methods or
structural models.[31]The aim of the
present study is to investigate the molecular structures
formed by domains of NS1 in solution by measurement of distances between
spin labels incorporated into the domains of NS1 using PELDOR. NS1
provides an easily tractable system for PELDOR analysis, as in most
strains one solvent-accessible cysteine residue is present within
each domain, making them directly accessible to site-directed spin-labeling
EPR. In contrast to previous studies in which conclusions have been
based on measurements from a single strain, analysis was performed
on constructs from three different influenza isolates, implying the
results are general and not strain-specific. Importantly, these included
the strain where the strand–strand dimer was initially described.[10] In this study, structural interpretation was
based on comprehensive in silico predictions using
two different modeling approaches in combination with PELDOR analysis.
Experimental
Methods
Purification and Preparation of Spin-Labeled NS1 Domains
All influenza A NS1 domain constructs were expressed in E.
coli and purified as described previously.[8] Briefly, His-tagged NS1 RNA binding domain (RBD) (A/Udorn/72
residues 1–72) or wild-type or mutant His-tagged NS1 effector
domain (ED) [residues 72–230 (A/Puerto Rico/8/34), 72–237
(A/Udorn/72), and 83–230 (A/Brevig Mission/1/1918)] were expressed
in E. coli and purified using a Ni-NTA column. After
cleavage of the His-tag with TEV protease, the protein was reapplied
to the column and 1 mM DTT added to the flow-through fraction. Reduced
proteins were desalted using a HiPrep 26/10 desalting column (GE)
prior to incorporation of the MTSSLspin label by incubation with
1 mM MTSSL for 2 h at 22 °C. Spin-labeled proteins were further
purified using an S100 Sephacyl 16/60 gel filtration column (GE) equilibrated
with 50 mM Tris pH 7.8, 200 mM NaCl. Sample solvent was exchanged
for deuterium oxide by buffer exchange (RBD) or via lyophilization
and 25% deuterated ethylene glycol added prior to freezing in liquid
nitrogen for PELDOR analysis.
Theoretical Measurement
of Spin–Spin Distances
In silico spin
labeling, rotamer conformation searching,
and distance measurements were all carried out within the software
package PyMOL (www.pymol.org) using
the MTSSLWizard plugin.[32] Distance distributions
were obtained by binning the data into 1 Å bins. The following
atomic coordinates of NS1 domains were used for this modeling procedure:
For the NS1 RBD, the atomic coordinates from the crystal structure
of 1AIL were
used; for the NS1 ED helix–helix dimer, the PDB structure 3O9S was used; and for
the strand–strand dimer, the PDB structure 2GX9 was used. Similar
results were obtained using NS1 RBD structures 2Z0A, 2ZKO, and 3M8A and NS1 ED structures 3O9T, 3O9U, 3M5R, 3EE8, and 3EE9. All searches were
carried out with the thoroughness set to “painstaking”
and the vdW restraints to “loose”. “Tight”
searches did not yield any labeling for 1AIL and largely differing numbers of conformers
for the individual chains in 2GX9 and 3OS9. To obtain results comparable to those from MMM after repacking
side chains (see below), resulting MMM PDBs “repacked”
for 1AIL, 3O9S, and 2GX9 were reanalyzed.As a complementary approach, the modeling procedure was repeated
with the software package Matlab (www.mathworks.com) using
the MMM plugin.[33] For the NS1 RBD, the
atomic coordinates from the crystal structure of 1AIL were used; for the
NS1 ED helix–helix dimer, the PDB structure 3O9S was used; and for
the strand–strand dimer, the PDB structure 2GX9 was used. In addition
to the predicted distance distributions, the best fit of the experimental
data to any rotamer conformations, independent of their respective
energies, was obtained using the “any rotamers” function.
This function uses all possible rotamer pairs obtained during the
site scan, independent of the populations predicted. As a further
test, the “grow/repack side-chains” function of MMM,
which uses the free third-party software SCWRL4,[34] was used for 1AIL, 2GX9, and 3OS9,
followed by the standard procedure (rotamer site scan and labeling).
This function can be used to correct the conformations of side chains
given by the crystal structure, which may be different in solution.
All tests were performed separately, with the site scan/labeling conditions
set to either cryogenic temperature (175 K) or ambient temperature
(298 K).
Collection and Analysis of PELDOR Traces
All PELDOR
data were recorded on ELEXSYS E580 pulsed X-band (9 GHz) or Q-band
(34 GHz) EPR spectrometers including the second frequency option (E580-400U)
from Bruker. Pulses were amplified by traveling wave tube (TWT) amplifiers
(1 kW at X-band and 150 W at Q-band) from Applied Systems Engineering.
As sample amounts were not limiting, we used an MD5 dielectric ring
resonator (X-band) or TE012 cavity (Q-band) with standard flex line
probe heads. The established pulse sequence π/2(νA)-τ1-π(νA)-τ1+t-π(νB)-(τ2–t)-π(νA)-τ2-echo was employed for all PELDOR experiments.[28] With the following exceptions of timings and
pump pulse length, the chosen settings and optimization procedures
were as previously described.[35] Typically,
the pump pulse was set to 18–20 ns at X-band and 12 ns at Q-band,
τ1 to 380 ns, τ2 to 3 μs (up
to 7 μs at Q-band) and the shot repetition time to 2 ms, averaging
the data for ∼14 h at X-band or <2 h at Q-band.Raw
data were fitted by a monoexponential decay in the Matlab plugin DeerAnalysis2013
to remove the background.[36] All decay constants
agreed with those calculated from the nominal protein concentration
within 20%. Tikhonov regularization was performed in DeerAnalysis2013,
and the optimum regularization parameter was chosen by the L-curve
criterion.[37]
Results and Discussion
As spin-labeled dimers of full length NS1 can bear four spin labels
for dimers and even more for oligomers leading to more challenging
theoretical treatment,[38] we approached
the dimerization of the individual domains by performing measurements
between spin labels incorporated into the individual RBD and ED dimers
using PELDOR. Initially, the MTSSLspin label was incorporated into
the RBD dimer (from the A/Udorn/72 strain (Udn)) at Cys13. The primary
PELDOR data for this dimer reveals at least four full dipolar modulations
(Figure 2, top), which is exceptional for proteins
spin-labeled with MTSSL via cysteines and clearly indicates very constrained
spin-label conformations giving rise to a very narrow distance distribution.
The distance distribution derived by Tikhonov regularization[36] is indeed in very good agreement with the uncontroversial
model from crystallography (Figure 2, bottom).[12,14]
Figure 2
Background
corrected experimental PELDOR data and fit (top) and
experiment-derived distance distribution in the RBD and comparison
with in silico models generated using the respective
crystal structure (PDB 1AIL) (bottom).
Background
corrected experimental PELDOR data and fit (top) and
experiment-derived distance distribution in the RBD and comparison
with in silico models generated using the respective
crystal structure (PDB 1AIL) (bottom).For evaluation of structural models by PELDOR, it is essential
to model the spin label, which is most often not part of the existing
structure. While in a very crude approximation the spin-bearing group
has to be within less than 1 nm of the respective Cα, considering the possible projections in a doubly labeled system,
this would lead to an unacceptable uncertainty of several nm. More
elegant approaches model the positions of spin labels explicitly by
either a rotamer library approach, in which precomputed rotamers are
energy-weighted for estimating their populations in a specific structure
(Matlab plugin MMM),[33] or a parametrized
excluded volume approach stochastically generating conformations and
excluding those which clash with the protein (PyMol plugin MTSSLWizard).[32] We have tested both approaches for the UdnNS1
RBD and find very good agreement with the experimental data. Interestingly,
MMM predicts a tight site when using ambient but not cryogenic temperature
for site scan and labeling, while MTSSLWizard can only find a reasonable
number of conformations at the slowest and most unconstrained search
settings (see the Supporting Information), confirming our hypothesis of a very constrained label. Agreement
of MMM at 175 K seems marginally worse than MTSSLWizard which becomes
more evident comparing time domain data (see the Supporting Information). MMM results were slightly improved
at ambient temperature, which is in line with previous studies.[32,39] However, in the light of the prediction errors of both modeling
programs, these rather small differences cannot be considered significant.[39,40]With the results on the dimer of the wild-type RBD proving
NS1
clearly amenable to our pulse EPR approach, we investigated the ED:ED
dimer interface for three separate strains: A/Puerto Rico/8/34 (PR8;
the strain used in the initial study proposing the strand–strand
dimer),[10] Udn (the strain used in recent
NMR studies on ED dimerization),[21,22] and A/Brevig
Mission/1/1918 (1918). Evaluation of the models of NS1 ED dimerization
was performed by incorporation of the spin-label MTSSL into purified
NS1 EDs at the conserved Cys116. For all three EDs (PR8, Udn, 1918;
Figure 3, top), the experimental data look
remarkably similar. The modulation depth indicates that dimerization
is not quantitative in concentrations around 100 μM, which is
in good agreement with the recently reported weak binding (Kd ∼90 μM).[21,22] However, the traces show clear modulation, allowing reliable distance
information to be extracted.
Figure 3
Experimental PELDOR data
(black) and fits (gray) on the NS1 ED
of PR8, Udn, and 1918 (top). For clarity, traces and fits of Udn and
1918 have been shifted by −0.2 and −0.4 on the y-axis, respectively. Distance distribution for PR8 in comparison
with crystal helix–helix (middle) and strand–strand
(bottom) dimer models.
Calculation of the expected spin–spin
distances for the
ED dimers was modeled using both MTSSLWizard and MMM for comparative
reasons. On the basis of the strand–strand and helix–helix
dimers present within the crystalline lattices of the PR8 NS1 ED structures 2GX9 and 3O9S,[10,18] respectively, two distinct distance distributions emerged for both
modeling approaches (Figure 3). In these calculations,
the strand–strand dimer always yielded the slightly longer
spin–spin distance, with a wider distribution, compared to
a more compact, shorter distance within the helix–helix dimer.
Interestingly, the absolute agreement between the two modeling approaches
and the experiment is remarkably dependent on the settings applied,
especially for MMM (see the Supporting Information). MTSSLWizard disfavors the strand–strand interface by comparison
with the experimental distance distribution, and this result is mostly
unaffected by further expansion of the modeling using repacked side
chains[34] (obtained through MMM using the
free third-party software SCWRL4). Similarly, for MMM, neither using
ambient instead of cryogenic temperature nor repacking the side chains
nor both can improve the results obtained for the strand–strand
dimer of the ED (PDB 2GX9). Significantly, the opposite is found for the helix–helix
interface (PDB 3O9S), with considerable improvement of modeling results when applying
both ambient temperature and side chain repacking.Thus, MMM
would also lead to favoring the helix–helix model,
if the different settings were tested and directly compared with each
other. This becomes evident both from the distance distributions (Figure 3) and the traces (see the Supporting
Information) when comparing with the experimental data. However,
even though both modeling approaches converge to favoring the helix–helix
model, the observed differences between the two possible conformations
may in fact be too small to be unequivocally distinguishable when
taking into account the reported modeling accuracies.[39,40]This reservation was further supported when we verified that
the
experimental data can be reproduced by an arbitrarily chosen combination
of rotamers for both the helix–helix and the strand–strand
PDBs using MMM. These settings explicitly use all pairs of rotamers,
neglecting any clashes with the protein, and therefore merely test
whether the experimental distance distribution is at all possible
for the given backbone conformation. For any given setting (both ambient
and cryogenic temperature; with or without repacked side chains),
we found that the resulting best-fit distribution for both dimer interfaces
covers the entire experimental distribution (see the Supporting Information), not rendering the strand–strand
dimer model impossible. This finding from the “any rotamers”
test is significant, as it deviates substantially from the MMM predictions
which explicitly treat the energies of the rotamers. At least in this
case, MMM predictions seem to be more affected by differences between
crystal and solution structure than MTSSLWizard predictions. This
is in agreement with the finding that correction of side chains significantly
improves the MMM modeling results for the helix–helix dimer
(see the Supporting Information). It will
be very interesting to monitor the future performance of both modeling
approaches for different biological systems.In combination,
comparison of the experimental data with the distance
distributions obtained for PR8 with the helix–helix and strand–strand
dimer models (Figure 3, middle and bottom)
clearly disfavors the strand–strand interface in solution.
Results for the other two strains are very similar (see the Supporting Information). Thus, our results fully
agree with a solution-state study describing dimer formation of wild-type
Udn ED through the helix–helix interface.[22] Analyzing a set of different strains, our results confirm
previous findings and provide the first direct observation of the
ED helix–helix interface in NS1 strain PR8 in solution. The
helix–helix conformation is also in agreement with calculations
based on crystal structures from several other strains (see the Supporting Information).Experimental PELDOR data
(black) and fits (gray) on the NS1 ED
of PR8, Udn, and 1918 (top). For clarity, traces and fits of Udn and
1918 have been shifted by −0.2 and −0.4 on the y-axis, respectively. Distance distribution for PR8 in comparison
with crystal helix–helix (middle) and strand–strand
(bottom) dimer models.Taking the reported modeling accuracies[39,40] into account, our predictions obtained by MTSSLWizard and MMM disfavor,
but cannot unequivocally reject, the wild-type NS1 ED strand–strand
dimer. One possible approach to prove a single dimer solely by EPR
distance measurements is generating a set of spin-labeled NS1 ED mutants
predicted to show no overlap in distance distributions between the
two potential dimer interfaces. However, an elegant disruption of
the helix–helix dimer interface by incorporation of the Trp187Ala
mutation has been described previously.[13,21,22] We rationalized this mutant should lead to significant
changes in modulation depth for the helix–helix interface only,
thus generating unequivocal proof for rejecting one of the two models,
by a single further EPR experiment. In contrast to data obtained from
wild-type ED, PELDOR time traces from the Trp187Ala mutants contain
either no evidence of dimerization (for PR8 EDs) or a significantly
reduced level of dimer formation (Udn EDs), as evident from the reduction
in modulation depths of the PELDOR traces in Figure 4. Thus, pulse EPR could be used to reject the strand–strand
dimer interface in the NS1 PR8 strain, in which it had been initially
described,[10] thereby confirming and extending
previous studies using the Udn strain,[21,22] and others.[13,18] Furthermore, we conclude that, even though the use of more than
one modeling approach is strongly recommended for obtaining more reliable
predictions, the unequivocal proof for one or the other conformational
model may only be possible by making the effort of generating and
analyzing additional informing mutants, such as the Trp187Ala mutant
in this study.
Figure 4
Experimental PELDOR data on the ED Trp187Ala mutant of
PR8 and
Udn. For clarity, the trace of Udn has been shifted by −0.2
on the y-axis.
Experimental PELDOR data on the ED Trp187Ala mutant of
PR8 and
Udn. For clarity, the trace of Udn has been shifted by −0.2
on the y-axis.NS1 is a relatively small protein, yet it is capable of interaction
with a wide range of host and viral factors and how these interactions
are controlled is not fully understood. However, it appears likely
that the quaternary arrangements of the NS1 protein in solution play
a role in the regulation of its many functions. In recent years, numerous
crystal structures of truncated and full-length forms of NS1 have
been published, leading to several models of NS1 structure in vivo. The evidence in this study aligns with the consensus
of NMR and crystallographic studies indicating the NS1 ED forms the
proposed helix–helix dimer in solution.[13,21,22] However, it remains to be determined under
what circumstances this interface is used and to what end. Formation
of the ED dimer appears to be required for efficient interaction with
dsRNA, possibly through the formation of oligomeric structures.[18,22] On the other hand, it is also clear that, for some functions of
NS1 (e.g., binding to CPSF30), the ED dimer must separate, as the
two interactions share the same interface.[41]Previous analysis of the NS1 ED dimer by crystallography[18] and 19F NMR[21] has indicated that the two monomers may undergo rapid conformational
change between a variety of orientations at the helix–helix
interface. It is perhaps surprising to note, therefore, that the spin–spin
distances for the ED dimer closely align with the predicted distribution
produced using a single, fixed crystal structure, implying an absence
of large scale movements. This can be explained in three ways: (i)
The conditions in which the EPR sample were prepared have frozen each
dimer in the same conformation, by freezing out the lowest energy
state of the conformational equilibrium. (ii) There are two or more
conformational states with one state being dominant. The PELDOR data
obtained in this study do not indicate the presence of a second distance,
even when exploiting the higher sensitivity of the Q-band for the
PR8 ED wild-type (see the Supporting Information). However, populations of below 20% might not be obvious from the
EPR data and still by far sufficient for the observed exchange broadening
in 19F NMR.[21] (iii) The conformational
states are aligned around an axis connecting the two spin labels,
thereby only marginally affecting the actually observed spin–spin
distance and thus being undetectable using PELDOR. The 19F NMR study does not inform on the interdomain orientations or their
populations. On the other hand, in silico prediction
of the spin–spin distances from a variety of ED crystal structures
using MTSSLWizard yields similar distance distributions (see the Supporting Information). Furthermore, comparisons
between the numerous ED crystal structures published to date suggest
such a rotational movement to form the principal component of the
differences observed (see the Supporting Information). In combination, these data make the rotation around the spin–spin
vector a viable hypothesis. While we cannot fully reject the explanation
of minor populations of further conformations, in our PELDOR analysis,
we would anticipate detection of populations of any second conformational
state over 20% of the total as long as the spin–spin distance
changes significantly. Neither of these three explanations would contradict
the observation of the helix–helix dimer interface by intermolecular
NOEs.[22]Having validated the use
of PELDOR for distinguishing between different
structures of NS1 domains, the next step will be the extension to
the full-length protein. Analysis of intact NS1 is complicated by
the propensity for oligomerization at concentrations above 40 μM,[22] and thus far, most of the studies (including
all crystal structures) have required the incorporation of mutations
to increase solubility.[11,16] Currently, the limited
information we have on the relative positions of the two NS1 domains
is heavily reliant on the forms observed in crystal structures, although
some data from NMR have been helpful.[21,22] Given the
known flexibility of the interdomain linker region, such arrangements
are likely to be significantly affected by the interactions formed
during crystal packing. Therefore, further data from solution-state
techniques such as EPR and NMR will be vital for understanding how
the full-length NS1 operates in the cellular environment, with EPR
techniques having the advantage of not being limited by the size or
shape of the proteins under investigation. In addition, the structures
formed by NS1 in complex with its many binding partners are largely
unknown and it is likely that such structures and structural rearrangements
upon binding could be probed by suitable in-solution methods.
Conclusions
The results of crystallographic analyses of the influenza A NS1
protein have yielded several models of NS1 function, that require
further data from solution-state methods to be resolved adequately.
The data presented here are of very high quality and demonstrate that
measurement of distances between site-specific spin labels via PELDOR
can distinguish between structural models. These differentiations
become more challenging the smaller the predicted differences are.
In these cases, additional information either from further mutants
or from complementary models, including in silico prediction models, is invaluable. Application of this technique
to the full-length NS1 protein and NS1-mediated complexes will significantly
enhance our understanding of NS1 structure and function.
Authors: James M Aramini; Li-Chung Ma; Ligang Zhou; Curtis M Schauder; Keith Hamilton; Brendan R Amer; Timothy R Mack; Hsiau-Wei Lee; Colleen T Ciccosanti; Li Zhao; Rong Xiao; Robert M Krug; Gaetano T Montelione Journal: J Biol Chem Date: 2011-05-26 Impact factor: 5.157
Authors: James M Aramini; Keith Hamilton; Li-Chung Ma; G V T Swapna; Paul G Leonard; John E Ladbury; Robert M Krug; Gaetano T Montelione Journal: Structure Date: 2014-02-27 Impact factor: 5.006
Authors: Gregor Hagelueken; Jan Hoffmann; Erik Schubert; Fraser G Duthie; Nicole Florin; Lisa Konrad; Diana Imhof; Elmar Behrmann; Nina Morgner; Olav Schiemann Journal: Biophys J Date: 2016-06-21 Impact factor: 4.033
Authors: Li-Chung Ma; Rongjin Guan; Keith Hamilton; James M Aramini; Lei Mao; Shanshan Wang; Robert M Krug; Gaetano T Montelione Journal: Structure Date: 2016-08-18 Impact factor: 5.006