|
J Biol Chem, Vol. 273, Issue 36, 23267-23273, September 4, 1998
Flexibility of Helix 2 in the Human Glutathione Transferase
P1-1
TIME-RESOLVED FLUORESCENCE SPECTROSCOPY*
Lorenzo
Stella ,
Anna Maria
Caccuri§,
Nicola
Rosato¶,
Maria
Nicotra§,
Mario Lo
Bello§,
Fabio
De Matteis **,
Anna
P.
Mazzetti§,
Giorgio
Federici , and
Giorgio
Ricci§§§
From the Departments of Chemical Sciences and
Technologies, § Biology, ¶ Experimental
Medicine and Biochemical Sciences, and Physics,
University of Rome "Tor Vergata," Via della Ricerca Scientifica
00133 Rome, Italy, the ** Istituto Nazionale di Fisica della
Materia, 00133 Rome, Italy, and the  Ospedale
Pediatrico IRCCS "Bambin Gesú," 00165 Rome, Italy
 |
ABSTRACT |
Time-resolved fluorescence spectroscopy and
site-directed mutagenesis have been used to probe the flexibility of
-helix 2 (residues 35-46) in the apo structure of the human
glutathione transferase P1-1 (EC 2.5.1.18) as well as in the binary
complex with the natural substrate glutathione. Trp-38, which resides on helix 2, has been exploited as an intrinsic fluorescent probe of the
dynamics of this region. A Trp-28 mutant enzyme was studied in which
the second tryptophan of glutathione transferase P1-1 is replaced by
histidine. Time-resolved fluorescence data indicate that, in the
absence of glutathione, the apoenzyme exists in at least two different
families of conformational states. The first one (38% of the total
population) corresponds to a number of slightly different conformations
of helix 2, in which Trp-38 resides in a polar environment showing an
average emission wavelength of 350 nm. The second one (62% of the
total population) displays an emission centered at 320 nm, thus
suggesting a quite apolar environment near Trp-38. The interconversion
between these two conformations is much slower than 1 ns. In the
presence of saturating glutathione concentrations, the equilibrium is
shifted toward the apolar component, which is now 83% of the total
population. The polar conformers, on the other hand, do not change
their average decay lifetime, but the distribution becomes wider,
indicating a slightly increased rigidity. These data suggest a central
role of conformational transitions in the binding mechanism, and are consistent with NMR data (Nicotra, M., Paci, M., Sette, M., Oakley, A. J., Parker, M. W., Lo Bello, M., Caccuri, A. M.,
Federici, G., and Ricci, G. (1998) Biochemistry 37, 3020-3027) and pre-steady state kinetic experiments (Caccuri, A. M., Lo Bello, M., Nuccetelli, M., Nicotra, M., Rossi, P., Antonini,
G., Federici, G., and Ricci, G. (1998) Biochemistry
37, 3028-3034) indicating the existence of a pre-complex in which GSH
is not firmly bound to the active site.
 |
INTRODUCTION |
Cytosolic glutathione transferases (GSTs; EC
2.5.1.18)1 are a family of
dimeric isoenzymes which catalyze the addition of the natural
tripeptide glutathione (GSH) to a variety of organic compounds which
contain an electrophilic center (1), so they have a crucial role in the
cellular catabolism and transport of toxic organic compounds (2). They
are grouped into at least five isoenzyme classes (Alpha, Mu, Pi, Theta,
and Sigma) which have a similar molecular mass (46-48 kDa) but
different amino acid sequence and substrate specificity (3-6).
An important contribution to the characterization of these isoenzymes
is due to the definition of the three-dimensional structure of
representative isoenzymes, obtained by x-ray crystallography (7-12).
Despite the low homology of amino acid sequence for GSTs belonging to
different classes, all GST isoenzymes show very similar tertiary and
quaternary structures and quite identical GSH-binding sites (G-site)
(13). Crystallographic data provide details about enzyme-substrate
interactions and catalysis. In fact, some snapshots are available which
define the apoenzyme structure, the enzyme-GSH complex, the
enzyme-product complex, and also the three-dimensional structure of the
enzyme in complex with a transition-state analogue (14). Nevertheless,
a number of unclarified questions about the catalytic mechanism
(i.e. the controversial occurrence of an induced fit
mechanism and the unexplained mechanism of GSH ionization at the active
site) suggest that these "static" pictures are not sufficient to
compose a movie which reveals all details of the binding and catalytic
events.
Investigations about the dynamics of GSTs may provide the explanatory
key for many unsolved questions and, in this context, the human GST
P1-1 appears an interesting model. In fact, several pieces of evidence
suggest that conformational motions of this enzyme have a crucial role
both in the binding of substrates and in the catalytic mechanism. More
precisely, the flexibility of helix 2 seems to modulate the G-site
affinity for GSH (15); helix 4 motions are possibly involved more
directly in the catalytic event which is rate-limited by a structural
transition of the ternary complex (16).
In this paper we focus on the dynamics of helix 2 by means of
time-resolved fluorescence to probe its relevance in the GSH-binding step. The irregular -helix 2 (residues 35-46) displays the highest thermal factors of domain 1 and Trp-38 and Lys-44, which reside in this
protein segment, are involved in the GSH binding by hydrogen bond
interactions (10) (see Fig. 1). Its high
flexibility is also suggested by a number of observations including the
facile disulfide bond formation between Cys-47 and Cys-101, which
appear about 18 Å apart in the crystal structure (17). Moreover helix 2 moves about 4 Å away from helix 4 when GSH binds to the G-site (15).
Mutation of Cys-47, which resides at the end of helix 2 and probably
modulates its flexibility by an electrostatic interaction with Lys-54,
causes an increased mobility of this loop, a lowered affinity for GSH,
and strong positive cooperativity toward GSH (18, 19). Similar kinetic
changes were recently observed by replacing Gly-41, a possible joint
residue for this helix, thus confirming that any critical point
mutation perturbing the flexibility on this helix may be crucial for
the binding process and for the intersubunit structural
communication.2 Recent data
also suggest that the segmental motions involving helix 2 are fast
enough to be strongly modulated by the viscosity of the solution (15).
However, no data are available for a more precise time scale in which
these motions occur as well as for the trajectory of this segment and
the thermodynamic parameters which define this flexibility. Another
important question is how the movements of this segment have an active
role in modulating the interaction of the enzyme with the substrate.

View larger version (83K):
[in this window]
[in a new window]
|
Fig. 1.
Ribbon representation of the GST P1-1 monomer
in complex with GSH. Trp-28 and Trp-38 (red) and GSH
(green) are shown using stick representation. This figure
was created with the program MOLMOL (37).
|
|
A method currently used to monitor the dynamics of proteins is
time-resolved fluorescence spectroscopy. The versatility of this
approach to investigate the motions of protein segments is well
documented (20) and arises from its intrinsic "kinetic" character.
The fluorescence properties of the protein tryptophans are modulated by
a number of interactions with the protein environment and with the
solvent which occur only in the lifetime of their excited state (about
1 ns). So, fast conformational transitions which occur in or below this
time frame and which also involve tryptophan residues can be revealed
and studied. Furthermore, the existence of different conformations that
interconvert in times slower than the fluorescence lifetime results in
a non-exponential intensity decay, and thus can be detected. Recently,
time-resolved fluorescence spectroscopy has been applied to study
glutathione S-transferase A1-1 from rat (21); since this
isoenzyme has a single Trp per subunit, located in the H-site, the
intrinsic fluorescence was used to characterize the dynamics of that
region. Another fluorescence study focused on the protonation state of
Tyr-7 of the same isoenzyme (22). In the case of GST P1-1, two
tryptophans are located in each monomer, Trp-28 and Trp-38. The latter
is a good intrinsic probe for helix 2 transitions as it resides on this
segment and interacts directly with the bound substrate (Fig. 1). By
site-directed mutagenesis we expressed the enzyme with Trp-28 replaced
by histidine. The mutated enzyme shows kinetic properties and a
structure very similar to the native enzyme, so it is a useful model
for the present investigation.
 |
EXPERIMENTAL PROCEDURES |
Site-directed Mutagenesis--
Mutants of human GST P1-1 were
obtained by site-directed mutagenesis, carried out according to a
previously described procedure (19). The single-stranded DNA template
was generated using plasmid p18seq-1, which contains the full-length
nucleotide sequence encoding for GST P1-1 in plasmid pEMBL18 (19). The
following oligonucleotide was used as mutagenic primer for W28H:
5'-TCCTCCTTGTGGCTCTGGC. The nucleotide sequence of this mutant was
checked by the dideoxy chain termination method. The mutated 780 base
pairs SphI-SphI DNA fragments from plasmid
p18seq-1 were subcloned under control of trc promoter in
expression plasmids expressing large amounts of recombinant enzyme in
the cytoplasm of Escherichia coli cells (23). GST P1-1 and
W28H mutant were purified by affinity chromatography on immobilized
glutathione (24).
Kinetic Measurements--
Kinetic parameters
kcat and Km were determined
by using 1-chloro-2,4-dinitrobenzene as co-substrate in 0.1 M potassium phosphate buffer, pH 6.5, as described
previously (15).
Fluorescence Spectroscopy--
Steady state fluorescence
measurements were performed on a SPEX FluoroMax photon counting
spectrofluorometer (SPEX Industries Inc., Edison, NJ), at 20 °C,
with a 4-nm band pass for both excitation and emission. Spectra were
corrected for background signal, which was always <1% of the total
intensity.
For time-resolved fluorescence measurements, a frequency domain ISS
fluorometer (ISS Inc., Champaign, IL) was used. Excitation at 295 nm
was provided by a cavity-dumped, externally frequency doubled rhodamine
6G dye-laser (model 700, Coherent), synchronously pumped by a
mode-locked Nd-YAG laser (Antares model, Coherent, Palo Alto, CA). The
absorbance of the samples at 295 nm was about 0.1-0.2. The enzyme
sample was in 0.1 M potassium phosphate buffer, pH 6.5, containing 0.1 mM EDTA. Emission was collected through a
WG320 filter (Corion) to remove any scatter light. In the
wavelength-dependent lifetime measurements, instead, an
emission monochromator (Jobin Yvon Y10, 4-nm band pass) was used.
Phase-modulation lifetime measurements were carried out at 12 frequencies from 7 to 200 MHz. Color errors due to photomultiplier
response were minimized by the use of reference standard solutions of
p-terphenyl (Eastman Kodak, Rochester, NY) in ethanol
(lifetime = 1.05 ns). All lifetimes measurements were carried out
at "magic angle" configuration. The sample holder was thermostated
and was kept at 20 °C, unless where it is otherwise specified.
Phase-modulation data were analyzed with the Globals Unlimited software
(25), with different models, including one, two, or three exponential
lifetimes, or continuous lifetime distributions of different shapes
(see "Results"). Goodness of fit was assessed by the value of
minimized 2, which was calculated using standard
deviations of ± 0.2° and ± 0.004 for phase angles and
modulation ratios, respectively. Rigorous 2-surface
error analysis was performed to evaluate uncertainties of recovered fit
parameters (26). Statistical evaluation and comparison between the
different decay models was carried out using the Schwarz criterion
(27).
 |
RESULTS |
Kinetic and Structural Properties of W28H Mutant--
W28H mutant
shows kinetic parameters very similar to those of the native enzyme. At
25 °C and in the presence of 1 mM
1-chloro-2,4-dinitrobenzene as co-substrate (in 0.1 M
potassium phosphate buffer, pH 6.5), it has an apparent
kcat = 36 ± 3 s 1 (38 ± 4 s 1 for wild type) and a Km value for
GSH of 0.20 ± 0.02 mM (0.15 ± 0.01 mM for wild type). Far UV circular dichroism spectrum of
the mutant (not shown) overlaps that of the native enzyme, suggesting
that mutation does not cause any remarkable change in the structure of
the enzyme.
Steady State Fluorescence--
Fig.
2 shows the fluorescence emission spectra
(excitation 295 nm) of WT and W28H GST together with that of the
reference compound N-acetyl-tryptophan-amide (NATA). The
295-nm excitation wavelength excites selectively the Trp residues. For
samples of the same protein concentration (0.1 mg/ml) the total
fluorescence intensity of W28H is only 0.30 that of the wild type
enzyme; therefore, if the W28H mutation does not change appreciably the
quantum yield of Trp-38, the relative contributions of Trp-28 and
Trp-38 to the overall fluorescence of wild type GST P1-1 are
approximately 70 and 30%, respectively. The quantum yield of Trp-38 in
the mutant, relative to NATA, is 0.30 ± 0.01, as determined by
the ratio of the respective fluorescence intensities, integrated
between 300 and 450 nm, for samples of the same tryptophan
concentration (A295 0.1) and of the same
buffer composition.

View larger version (16K):
[in this window]
[in a new window]
|
Fig. 2.
Steady-state fluorescence spectra of
wild-type and W28H GST P1-1 and NATA. Emission spectra of wild
type glutathione S-transferase (continuous line),
W28H mutant (broken line), and NATA ( exc. = 295 nm, T = 20 °C, pH 6.5). The spectra correspond to
solutions of the same molarity.
|
|
Time-resolved Fluorescence of W28H--
Phase-shift and
demodulation data relative to the fluorescence intensity decay of W28H
at 20 °C are shown in Fig. 3. Data are
analyzed with several decay models (Table
I): single, double, and triple lifetime,
continuous distributions of lifetimes, with Gaussian, uniform and
Lorentzian shape, as well as the combination of a "discrete"
lifetime with a continuous distribution and a double continuous
distribution.

View larger version (17K):
[in this window]
[in a new window]
|
Fig. 3.
Frequency domain fluorescence decay data.
Phase ( , ) and modulation ( , ) data relative to the
fluorescence intensity decay of W28H in the absence (open
symbols) and presence (closed symbols) of glutathione 5 mM (T = 20 °C, pH 6.5, exc. = 295 nm). Continuous lines represent the best fits. Experimental
errors are smaller than symbol width.
|
|
View this table:
[in this window]
[in a new window]
|
Table I
Fits to different models of the W28H fluorescence intensity decay
(T = 20 °C, pH 6.5, exc = 295 nm)
For equations used in the fits see Ref. 30. Symbols used: , the
lifetime of discrete exponential components; c and w, center and width
of a distribution of lifetimes, respectively; i, molar
fraction of component i ( i i = 1);
Npar, number of independent parameters used in the fit;
2, reduced chi-square; SC, parameter of the Schwarz
criterium. Parameters , c, w are expressed in ns; , Npar,
2, and SC are dimensionless. Fits with a Gaussian or uniform
distribution were worse (not shown). Errors on the parameters of the
best fit (Lorentzian distribution plus exponential) were calculated
with a rigorous correlated errors analysis (25): c = ±0.1 ns,
w = ±0.05 ns,  Lor = ±0.03,  = ±0.03 ns.
|
|
The single- and double-exponential models, as well as a single
continuous distribution do not give an adequate fit of the decay of the
W28H mutant (as evident from the high 2 values). Judging
from the 2 values, the best fit is obtained with a
single-exponential plus a continuous Lorentzian distribution of
lifetimes. Furthermore, this model has only 4 free parameters, compared
with the 5 of the triple exponential and double Lorentzian models, that
also achieve good 2 values. The superiority of the
"Lorentzian plus exponential" model is quantified by the Schwarz
criterion (27), which calculates a parameter that takes into account
both the accuracy of the fit and the number of parameters utilized, and
thus compares "non-nested" models with a different number of
parameters. Again, the model with an exponential and a distribution
gives the best value for this parameter. Finally, the double
distribution model gives a near zero width of the distribution centered
at a shorter time (0.005 is a lower limit imposed by the fitting
program), making this model equivalent to the Lorentzian plus
exponential one. Thus a good description of the fluorescence intensity
decay of Trp-38 is given by a Lorentzian distribution of lifetimes,
centered at 1.7 ± 0.1 ns, with a width of 1.0 ± 0.05 ns,
plus a discrete lifetime ( = 0.42 ± 0.03 ns). The molar
fractions associated with the two components are 0.38 ± 0.03 and
0.62 ± 0.03, respectively.
A control measurement of the fluorescence decay of NATA, performed
under identical conditions, is accurately described by a
single-exponential fit ( 2 = 1.1), with a value of
2.9 ± 0.1 ns, in agreement with literature values (28). This
rules out the possibility that the heterogeneity in the fluorescence
decay of W28H mutant results from instrumental response, and suggests
that the heterogeneity arises from interaction of the tryptophan
residue with the protein matrix. Comparison of the NATA fluorescence
lifetime with the average lifetime obtained from the best fit of W28H
fluorescence decay (0.83 ± 0.07 ns) gives a ratio of 0.29 ± 0.03 in perfect agreement with the ratio of steady state intensities.
This is a further indication that the model used to describe the
fluorescence decay is correct, and also shows that quenching of Trp-38
is only due to dynamic factors.
Even though it is impossible to associate a confidence probability to
our model choice, since the so called "F test" can be applied only
to "nested models" (27), a strong support to our hypothesis comes
from a global analysis of all the time-resolved data collected. As
described in the following sections, the fluorescence time decay of
W28H GST P1-1 has been measured under various conditions, varying the
temperature or the concentration of glutathione in solution. In all the
experiments performed the Lorentzian plus exponential model gave the
best fit, as judged both by the reduced 2 and by the
Schwarz criterium. Furthermore, as shown below, the parameters
recovered using this model follow a specific trend with temperature or
substrate concentration. On the other hand, when a triple exponential
model was used, the parameters varied in an unpredictable, random way
with the macroscopic variables. Therefore, the triple exponential fit
does not have any physical meaning, even though it could describe the
experimental data with reasonable values of 2.
Temperature Effect--
The fluorescence intensity time decay of
W28H is studied as a function of temperature from 5 to 20 °C.
Experiments at higher temperature are not carried out; even at 30 °C
a small decrease of enzymatic activity is observed during the
measurement time (about 30 min), possibly due to the enzyme exposure to
laser excitation. The Lorentzian plus exponential model gives the best
fit at all temperatures studied. The molar fractions of the two
components are unchanged, while the two lifetimes are quenched, as a
direct effect of the temperature increase (Table
II). The width of the Lorentzian
distribution increases with decreasing temperature, while the other
component can be adequately described by a discrete lifetime at all the
temperatures studied.
View this table:
[in this window]
[in a new window]
|
Table II
W28H GST fluorescence intensity decay parameters as a function of
temperature (pH 6.5, exc = 295 nm)
For parameters definitions and errors see Table I. The model with a
Lorentzian distribution plus a discrete component gives the best fit
under all conditions.
|
|
Fluorescence Decay-associated Spectra--
The fluorescence
intensity decay of the two components is also studied as a function of
emission wavelength, from 305 to 365 nm, exciting at 295 nm. These
wavelength dependent measurements can be used to determine the
fluorescence spectra of individual lifetime components. The ideal
situation for this kind of analysis is when one can distinguish
experimentally a different decay lifetime for each conformer. In that
case, one can assume that each lifetime has the same value at all the
wavelengths studied (neglecting solvent relaxation problems); the only
varying parameters are the fluorescence fractions associated to the
lifetimes, that allow a reconstruction of the decay-associated spectra.
Unfortunately, this approach cannot be applied in our case: if we
assume that the parameters of the Lorentzian distribution and of the
discrete lifetime are the same at all the wavelengths, the fit gives
parameters comparable to those obtained without the monochromator but
the 2 values are rather high
(Table III, part A). This is due to the fact that the above procedure is not correct for the lifetime distribution. The lifetimes of the conformers that constitute this
component are so similar (and so many) that it is impossible to
distinguish experimentally every one of them; we can only describe them
collectively (as a distribution). However, each conformer has, in
principle, a (slightly) different emission spectrum. As a consequence,
the fraction of total fluorescence that can be associated to a given
lifetime value within the lifetime distribution is a function of
wavelength: the lifetime distribution shape varies with emission
wavelength and cannot be assumed constant.
View this table:
[in this window]
[in a new window]
|
Table III
W28H GST fluorescence intensity decay parameters, as a function of
emission wavelength (T = 20 °C, pH 6.5, exc = 295 nm)
A), fit with a Lorentzian distribution plus a discrete component, with
the parameters c, w, and linked. B), fit with four discrete
components, of which three free and one ( ) linked. f is
the fraction of the total fluorescence relative to lifetime . For
the errors on the parameters see Table I.
|
|
It is well known that three discrete lifetimes can fit satisfactorily
almost any distribution (29). Therefore, we performed the global fit of
wavelength dependent data with four discrete lifetime: three of them
were left free to vary, in order to model the distribution of varying
shape, while the fourth one was forced to have the same value at all
the wavelengths studied (since the problems described above do not
affect the discrete lifetime of our Lorentzian plus exponential model).
The results give acceptable 2 values and the value for
the short component is equal (within the experimental error) to that
obtained with the other measurements (Table III, part B). Fig.
4 shows the spectrum associated with the
short component and also that relative to the Lorentzian distribution, calculated by difference.

View larger version (14K):
[in this window]
[in a new window]
|
Fig. 4.
Decay associated spectra. Decay
associated spectra of W28H (T = 20 °C, pH 6.5, exc.
295 nm). See text for the analysis method. , short component; ,
long component; no symbol, total spectrum.
|
|
These spectra have their "center of mass" (average wavelength
calculated by weighting each wavelength with its respective intensity)
at about 320 and 350 nm, for the short and long component, respectively. The fraction of total fluorescence that can be associated to the short component by integrating the two DAS is 0.23 ± 0.06. This fraction can be calculated also from the data in Table I, as
f =  /< >, and it is
0.31 ± 0.04. The two values are coincident within experimental
error.
Influence of GSH Binding on the Time-resolved Fluorescence--
To
check the effect of the GSH binding on the two components of the
fluorescence intensity decay, the W28H mutant was studied in the
presence of different concentrations of glutathione. The results are
shown in Table IV and Fig.
5, and indicate that the substrate
quenches the discrete component and increases its molar fraction (not
to be confused with the fraction of total fluorescence associated to
this lifetime), from 62 to 83% (extrapolating at saturating GSH
concentration). Conversely, it widens the Lorentzian distribution,
without moving its center. To check for a possible aspecific
intermolecular quenching by unbound glutathione, control measurements
were performed with NATA; the glutathione concentrations used in the
experiments above (up to 5 mM) do not cause any change in
the NATA lifetime. Therefore the effects observed on protein fluorescence are caused only by bound glutathione.
View this table:
[in this window]
[in a new window]
|
Table IV
W28H GST fluorescence intensity decay parameters as a function of
glutathione concentration (T = 20 °C, pH 6.5, exc = 295 nm)
For intensity decay parameters definitions and errors see Table I. The
steady state quenching fraction is defined as the ratio of the
variation of steady state fluorescence intensity caused by adding a
given concentration of glutathione, divided by the intensity in the
absence of glutathione; peak is the wavelength at which the
steady state fluorescence spectrum shows its maximum; C.o.M. or
"center of mass" of the steady state spectrum, is the average
wavelength, calculated by weighting each wavelength with its respective
intensity. The fluorescence intensity decay of NATA is well described
by a single lifetime of 2.9 ns at all the glutathione concentrations
used.
|
|

View larger version (22K):
[in this window]
[in a new window]
|
Fig. 5.
Effect of GSH binding on the fluorescence
time decay. Fluorescence intensity decay parameters of W28H as a
function of glutathione concentration (T = 20 °C, pH 6.5, exc. 295 nm). For parameters definitions see Table
I.
|
|
Fluorescence quenching by GSH binding was also studied by analyzing the
steady state spectra. The percentage of quenching as a function of
glutathione concentration is displayed in Fig. 6, where both the data obtained from the
average lifetime and the total steady state intensity were included.
The two sets of data are comparable within the experimental error and,
fitting them globally, a KD = 80 ± 10 µM is obtained. The spectra also show a shift of their
maximum from 344 to 341 nm by increasing GSH concentration. This is
consistent with the finding that the two components observed in the
fluorescence intensity decay have different spectra, with the short
component (whose fraction increases with GSH concentration) peaked
at shorter wavelengths than the other.

View larger version (15K):
[in this window]
[in a new window]
|
Fig. 6.
Fluorescence quenching by GSH binding.
W28H fluorescence quenching as a function of glutathione
concentration (T = 20 °C, pH 6.5, exc. = 295 nm). , quenching efficiency as measured from time resolved
fluorescence data; , quenching efficiency measured from steady state
intensity.
|
|
 |
DISCUSSION |
Time-resolved spectroscopy is a well established method to detect
conformational heterogeneity in proteins. Tryptophan fluorescence is
extremely sensitive to the surroundings of the fluorophore and, if the
protein can assume multiple conformations, each of them has, in
principle, a different fluorescence lifetime. Therefore conformational
heterogeneity is reflected in a nonexponential intensity decay
(30-32). In our case, the time behavior of the fluorescence intensity
of W28H GST deviates markedly from a simple exponential, indicating the
presence of different structures in solution. In more detail, the
fluorescence data are consistent with a model with two lifetime
components: a discrete lifetime and a continuous Lorentzian
distribution of lifetimes. This is the simplest model consistent with
all the collected data, but we are aware that the real situation could
be even more complex and heterogeneous. According to this analysis, the
environment of Trp-38 is sampling two families of conformations
(corresponding to the two lifetime components). One of them is
associated to a continuous distribution of lifetimes, and therefore
must correspond to many (slightly) different structures. The
interpretation of the other component is less straightforward, due to
possible effects of conformational dynamics. When several substates are
present, any interconversion between them will influence the
fluorescence parameters, depending on the relative magnitudes of
fluorescence lifetime and interconversion rate. Let us first consider
the two extreme cases: if the conformational fluctuations are much
slower than the lifetime of the excited state, their effect on the
fluorescence parameters can be neglected. If, on the other hand, the
interconversion is much faster than the fluorescence lifetime, an
averaging effect causes a single exponential decay. In all the
intermediate cases, the recovered fluorescence lifetimes and associated
fractions depend both on the parameters characteristic of the different conformational substates and on the interconversion rate (31, 33, 34).
The decay becomes less heterogeneous as the dynamics becomes faster.
Usually, possible effects of excited state dynamics can be detected by
varying the temperature (and therefore the interconversion rate). In
our experiments, the molar fractions of the two major components remain
unchanged at all the temperatures studied. Therefore, the
interconversion between them is always much slower than the
fluorescence lifetimes (i.e. much slower than
10 9 s). On the other hand, the width of the Lorentzian
distribution increases at lower temperatures, as a consequence of a
slower conformational dynamics. Therefore, the interconversion between the structures that constitute this distribution must happen in times
comparable with the fluorescence lifetime. For the discrete lifetime,
several interpretations are possible: it could correspond either to a
single structure, or to many conformations (with different lifetimes)
interconverting very rapidly. The second hypothesis is not likely:
lowering the temperature (and therefore slowing down the dynamics) the
averaging effect of fast interconversions should have been reduced and
the discrete lifetime should have become a distribution with
appreciable width. Instead, it remained discrete at all the
temperatures studied. Therefore, the discrete component seems to
correspond to a single rigid structure (or to a set of conformations so
similar to be undistinguishable on the basis of fluorescence
lifetimes), even though the alternative hypothesis cannot be definitely
discarded. The spectra associated to the two major decay components
have a 30-nm difference between their centers of mass (see Fig. 4).
This demonstrates that the two families of structures detected by the
fluorescence time decay are definitely different also regarding the
polarity of the Trp-38 environment (and possibly also its solvent
accessibility).
In conclusion, time-resolved fluorescence data indicate that apo-GST is
extremely mobile in the surroundings of Trp-38, adopting at least two
families of conformations, that interconvert in times slower than 1 ns:
one is formed by many slightly different structures, while the other
probably corresponds to a more rigid conformation, in which Trp-38 is
in a much less polar environment.
After glutathione binding, the two conformational families are still
present, although the equilibrium is shifted toward the discrete
lifetime component, whose molar fraction (extrapolated at saturating
glutathione concentrations) increases to 83%. Furthermore, the
fluorescence of this component is quenched, while the average lifetime
of the Lorentzian distribution remains unchanged. On the other hand,
the distribution becomes wider, as a consequence of a slower
interconversion between conformations. Since both lifetime components
are influenced in some way by the presence of glutathione, the
substrate is likely bound to both conformational families. Anyway, its
interaction with the protein is different in the two cases: it causes
only an increased rigidity to the flexible, polar component, while it
quenches the discrete lifetime fluorescence (either by direct
interaction, or by an induced conformational change). The other
consequence of glutathione binding is a shift of the conformational
equilibrium toward the structure corresponding to an apolar environment
for Trp-38. In this sense we can say that fluorescence data demonstrate
the presence of an induced fit in GST P1-1. It is interesting to
correlate our results with recent NMR data (35) and pre-steady state
experiments (36) regarding the same enzyme. Both strongly suggest that,
at saturating GSH concentrations, an equilibrium exists between two
forms: the final Michaelis complex (E*·GSH) and a
pre-complex (E·GSH) which represents a small fraction of
the total enzyme; in the E·GSH conformation the protein
fluorescence is not quenched, and glutathione is flexible and not
firmly bound to the active site. The similarities of these results with
our data are striking; therefore, we can tentatively associate the
single exponential component of the fluorescence intensity decay at
saturating substrate concentrations to the tightly bound complex and
the Lorentzian distribution of lifetimes to the weakly bound
pre-complex. Our data indicate that a similar conformational
equilibrium between two major conformations exists also in the absence
of substrate. These two conformational states differ in the Trp-38
environment polarity. Finally, we have shown that E·GSH
can assume many conformations (while E*·GSH is probably
more rigid). A possible (but not univocal) binding mechanism, coherent with all available experimental findings (NMR, kinetic and fluorescence data), is reported in Scheme 1.
In this scheme Enq is the flexible non
quenched population and Eq is the quenched
conformer. kq is the first order rate constant for the transition from Enq to
Eq and k-q refers to the
inverse reaction. Pre-steady state measurements (36) indicate that the rate-limiting step for protein fluorescence quenching by GSH binding is
the transition from the pre-complex Eq·GSH to
E*q·GSH. Therefore, binding of GSH
to Eq must be kinetically not relevant compared
with binding to Enq, and it is not indicated; nevertheless, it could be thermodynamically possible. For the same
reason, the interconversion between Eq and
Enq must be faster than the interconversion
after GSH binding.
 |
Conclusions |
The results of this paper may be considered as a first
quantitative approach to the conformational dynamics of GST P1-1, and demonstrate the role of structural fluctuations in the substrate binding mechanism. On the basis of the present fluorescence data and of other experimental findings (35, 36), we propose the
following hypothesis: helix 2 fluctuates rapidly between two families
of conformations (with times slower than nanoseconds but much faster
than milliseconds) in the absence of substrate. GSH can enter the
active site easily only in the flexible, solvent accessible
conformation, forming the weakly bound pre-complex. At this stage, the
GSH molecule shows an extended backbone conformation similar to that
found in the crystal complex but its glutamyl moiety is not yet firmly
anchored to the G-site (35). Then, a much slower conformational
transition leads to the Michaelis complex, in which Trp-38 is also
quenched. In this scenario, helix 2, which is flexible in the
pre-complex and contacts the glycyl end of GSH with Trp-38 and Lys-44,
could act as a driver for GSH to find the correct anchorage in the
active site. A similar role has been suggested also on the basis of
pre-steady state kinetic data (36). We are aware that Scheme 1 is just
one of the possible mechanisms which well fit with experimental data.
Molecular dynamics simulations are in progress to define the binding
process, more in detail.
 |
ACKNOWLEDGEMENT |
We thank S. Khrapunov for helpful
suggestions.
 |
FOOTNOTES |
*
This work was supported in part by a grant from the
Ministero dell'Università e della Ricerca Scientifica e
Tecnologica (Funds 40% and 60%) and by a grant from National Research
Council, Progetto Finalizzato ACRO.The costs of publication of this
article were defrayed in part by the
payment of page charges. The article
must therefore be hereby marked
"advertisement" in
accordance with 18 U.S.C. Section
1734 solely to indicate this fact.
§§
To whom correspondence should be addressed: Dept. of Biology,
University of Rome "Tor Vergata," Viale della Ricerca Scientifica, 00133 Rome, Italy. Tel.: 39-6-72594375; Fax: 39-6-2025450; E-mail: RICCIG{at}UNIROMA2.IT.
The abbreviations used are:
GST, glutathione
transferase; NATA, N-acetictryptophan-amide.
2
M. Lo Bello, M. Nuccetelli, E. Chiessi, A. Lahm,
A. P. Mazzetti, A. Battistoni, A. M. Caccuri, A. J. Oakley,
M. W. Parker, A. Tramontano, and G. Ricci, manuscript in
preparation.
 |
REFERENCES |
-
Jakoby, W. B.,
and Habig, W. H.
(1980)
in
Enzymatic Basis of Detoxification (Jakoby, W. B., ed), Vol. 2, pp. 63-94, Academic Press, New York
-
Armstrong, R. N.
(1991)
Chem. Res. Toxicol.
4,
131-139[CrossRef][Medline]
[Order article via Infotrieve]
-
Mannervik, B.,
Alin, P.,
Guthenberg, C.,
Jensson, H.,
Tahir, M. K.,
Warholm, M.,
and Jörnvall, H.
(1985)
Proc. Natl. Acad. Sci. U. S. A.
82,
7202-7206[Abstract/Free Full Text]
-
Meyer, D. J.,
Coles, B.,
Pemble, S. E.,
Gilmore, K. S.,
Fraser, G. M.,
and Ketterer, B.
(1991)
Biochem. J.
274,
409-414
-
Meyer, D. J.,
and Thomas, M.
(1995)
Biochem. J.
311,
739-742
-
Buetler, T. M.,
and Eaton, D. L.
(1992)
Environ. Carcinog. Ecotoxicol. Rev.
10,
181-203
-
Sinning, I.,
Kleywegt, G. J.,
Cowan, S. W.,
Reinemer, P.,
Dirr, H. W.,
Huber, R.,
Gilliland, G. L.,
Armstrong, R. N.,
Ji, X.,
Board, P. G.,
Olin, B.,
Mannervik, B.,
and Jones, T. A.
(1993)
J. Mol. Biol.
232,
192-212[CrossRef][Medline]
[Order article via Infotrieve]
-
Ji, X.,
Zhang, P.,
Armstrong, R. N.,
and Gilliland, G. L.
(1992)
Biochemistry
31,
10169-10184[CrossRef][Medline]
[Order article via Infotrieve]
-
Reinemer, P.,
Dirr, H. W.,
Ladenstein, R.,
Schaffer, J.,
Gallay, O.,
and Huber, R.
(1991)
EMBO J.
10,
1997-2005[Medline]
[Order article via Infotrieve]
-
Reinemer, P.,
Dirr, H. W.,
Ladenstein, R.,
Huber, R.,
Lo Bello, M.,
Federici, G.,
and Parker, M. W.
(1992)
J. Mol. Biol.
227,
214-226[CrossRef][Medline]
[Order article via Infotrieve]
-
Wilce, M. C. J.,
Board, P. G.,
Feil, S. C.,
and Parker, M. W.
(1995)
EMBO J.
14,
2133-2143[Medline]
[Order article via Infotrieve]
-
Ji, X.,
von Rosenvinge, E. C.,
Johnson, W. W.,
Tomarev, S. I.,
Piatigorsky, J.,
Armstrong, R. N.,
and Gilliland, G. L.
(1995)
Biochemistry
34,
5317-5328[CrossRef][Medline]
[Order article via Infotrieve]
-
Armstrong, R. N.
(1994)
Adv. Enzymol. Relat. Areas Mol. Biol. Sect. A
10,
1-44
-
Ji, X.,
Armstrong, R. N.,
and Gilliland, G. L.
(1993)
Biochemistry
32,
12949-12954[CrossRef][Medline]
[Order article via Infotrieve]
-
Ricci, G.,
Caccuri, A. M.,
Lo Bello, M.,
Rosato, N.,
Mei, G.,
Nicotra, M.,
Chiessi, E.,
Mazzetti, A. P.,
and Federici, G.
(1996)
J. Biol. Chem.
271,
16187-16192[Abstract/Free Full Text]
-
Caccuri, A. M.,
Ascenzi, P.,
Antonini, G.,
Parker, M. W.,
Oakley, A. J.,
Chiessi, E.,
Nuccetelli, M.,
Battistoni, A.,
Bellizia, A.,
and Ricci, G.
(1996)
J. Biol. Chem.
271,
16193-16198[Abstract/Free Full Text]
-
Ricci, G.,
Del Boccio, G.,
Pennelli, A.,
Lo Bello, M.,
Petruzzelli, R.,
Caccuri, A. M.,
Barra, D.,
and Federici, G.
(1991)
J. Biol. Chem.
266,
21409-21415[Abstract/Free Full Text]
-
Ricci, G.,
Lo Bello, M.,
Caccuri, A. M.,
Pastore, A.,
Nuccetelli, M.,
Parker, M. W.,
and Federici, G.
(1995)
J. Biol. Chem.
270,
1243-1248[Abstract/Free Full Text]
-
Lo Bello, M.,
Battistoni, A.,
Mazzetti, A. P.,
Board, P. G.,
Muramatsu, M.,
Federici, G.,
and Ricci, G.
(1995)
J. Biol. Chem.
270,
1249-1253[Abstract/Free Full Text]
-
Eftink, M. R.
(1991)
Methods of Biochemical Analysis
35,
127-205[CrossRef][Medline]
[Order article via Infotrieve]
-
Wang, R. W.,
Bird, A. W.,
Newton, D. J.,
Lu, A. Y. H.,
and Atkins, W. M.
(1993)
Protein Sci.
2,
2085-2094[Medline]
[Order article via Infotrieve]
-
Dietze, E. C.,
Wang, R. W.,
Lu, A. Y. H.,
and Atkins, W. M.
(1996)
Biochemistry
35,
6745-6753[CrossRef][Medline]
[Order article via Infotrieve]
-
Battistoni, A.,
Mazzetti, A. P.,
Petruzzelli, R.,
Muramatsu, M.,
Federici, G.,
Ricci, G.,
and Lo Bello, M.
(1995)
Protein Express. Purif.
6,
579-587[CrossRef][Medline]
[Order article via Infotrieve]
-
Simons, P.,
and Vander Jagt, D. L.
(1981)
Methods Enzymol.
77,
235-237[Medline]
[Order article via Infotrieve]
-
Beechem, J. M.,
Gratton, E.,
Ameloot, M.,
Knutson, J. R.,
and Brand, L.
(1991)
in
Topics in Fluorescence Spectroscopy. (Lakowicz, J. R., ed), Vol. 2, pp. 241-305, Plenum Press, New York
-
Beechem, J. M.,
and Gratton, E.
(1988)
Proc. SPIE Int. Soc. Opt. Eng.
909,
70-81
-
Landaw, E. M.,
and Di Stefano, J. J.
(1984)
Am. J. Physiol.
246,
R665-R667
-
Bismuto, E.,
and Irace, G.
(1989)
Photochem. Photobiol.
50,
165-168[CrossRef]
-
Ferreira, F. T.,
Stella, L.,
and Gratton, E.
(1994)
Biophys. J.
66,
1185-1196[Medline]
[Order article via Infotrieve]
-
Alcala, J. R.,
Gratton, E.,
and Prendergast, F.
(1987)
Biophys. J.
51,
587-596[Medline]
[Order article via Infotrieve]
-
Alcala, J. R.,
Gratton, E.,
and Prendergast, F.
(1987)
Biophys. J.
51,
597-604[Medline]
[Order article via Infotrieve]
-
Alcala, J. R.,
Gratton, E.,
and Prendergast, F.
(1987)
Biophys. J.
51,
925-936[Medline]
[Order article via Infotrieve]
-
Gratton, E.,
Alcala, J. R.,
and Prendergast, F. G.
(1989)
in
Fluorescent biomolecules (Jameson, D. M., and Reinhart, G., eds), pp. 17-32, Plenum Press, New York
-
McMahon, L. P.,
Yu, H. T.,
Vela, M. A.,
Morales, G. A.,
Shui, L.,
Fronczek, F. R.,
McLaughlin, M. L.,
and Barkley, M. D.
(1997)
J. Phys. Chem. B
101,
3269-3280[CrossRef]
-
Nicotra, M.,
Paci, M.,
Sette, M.,
Oakley, A. J.,
Parker, M. W.,
Lo Bello, M.,
Caccuri, A. M.,
Federici, G.,
and Ricci, G.
(1998)
Biochemistry
37,
3020-3027[CrossRef][Medline]
[Order article via Infotrieve]
-
Caccuri, A. M.,
Lo Bello, M.,
Nuccetelli, M.,
Nicotra, M.,
Rossi, P.,
Antonini, G.,
Federici, G.,
and Ricci, G.
(1998)
Biochemistry
37,
3028-3034[CrossRef][Medline]
[Order article via Infotrieve]
-
Koradi, R.,
Billeter, M.,
and Wüthrich, K.
(1996)
J. Mol. Graph.
14,
51-55[CrossRef][Medline]
[Order article via Infotrieve]
Copyright © 1998 by The American Society for Biochemistry and Molecular Biology, Inc.

CiteULike Complore Connotea Del.icio.us Digg Reddit Technorati What's this?
This article has been cited by other articles:

|
 |

|
 |
 
L. Hou, M. T. Honaker, L. M. Shireman, L. M. Balogh, A. G. Roberts, K.-c. Ng, A. Nath, and W. M. Atkins
Functional Promiscuity Correlates with Conformational Heterogeneity in A-class Glutathione S-Transferases
J. Biol. Chem.,
August 10, 2007;
282(32):
23264 - 23274.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. Perbandt, J. Hoppner, C. Betzel, R. D. Walter, and E. Liebau
Structure of the Major Cytosolic Glutathione S-Transferase from the Parasitic Nematode Onchocerca volvulus
J. Biol. Chem.,
April 1, 2005;
280(13):
12630 - 12636.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. M. Caccuri, G. Antonini, P. G. Board, J. Flanagan, M. W. Parker, R. Paolesse, P. Turella, G. Chelvanayagam, and G. Ricci
Human Glutathione Transferase T2-2 Discloses Some Evolutionary Strategies for Optimization of the Catalytic Activity of Glutathione Transferases
J. Biol. Chem.,
February 16, 2001;
276(8):
5432 - 5437.
[Abstract]
[Full Text]
[PDF]
|
 |
|
Copyright © 1998 by the American Society for Biochemistry and Molecular Biology.
|
Advertisement
Advertisement
|