The first oxygenase reaction forms NHA and FeIII segment D; a second heme reduction moving the system to segment E triggers oxygen binding forming the second FeII–O2 complex; segment F an
Trang 1synthase generates signal pulses
John C Salerno1 and Dipak K Ghosh2
1 Biology Department, Kennesaw State University, GA, USA
2 Department of Medicine, Hematology and Oncology, Duke University and Veterans Affairs Medical Center, Durham, NC, USA
Introduction
Biological signaling takes place across spatial and
tem-poral regimes spanning many orders of magnitude,
and has applications in development, homeostasis,
neuroscience and environmental studies Signaling and
control theories have been extensively developed by
electrical engineers and mathematicians [1] Their work
underlies the design of many of the artifacts of our
civ-ilization, and is as germane to signaling and control in
biology as it is to data transmission in a shielded cable
or feedback control of temperature in a building The
stability of positive and negative feedback loops in
bio-logical systems is governed by the same mathematical
principles, which place stringent requirements on the
gain and time response of components; this has
become recognized in computational biology [2] but is
not often considered in biochemistry
Signal transduction is a developing area of explo-sive growth; in contrast, enzymology is, by any rea-sonable standard, a mature field Classic descriptions
of activity (Michaelis–Menten [3], Cleland [4] and King-Altman [5]) rely on formalisms explicitly depen-dent on steady-state assumptions The incremental development of powerful analytical approaches has contributed greatly to the understanding enzymes in the steady-state, providing excellent descriptions of the ‘enzymes of mass conversion’ functioning in the interconversion of metabolites in biochemical path-ways
Signaling enzymes are well known and intensively studied [6,7] Signal generators differ from ‘metabolic enzymes’ in that, in addition to performing chemistry, they also transfer information Steady-state mass
con-Keywords
autoinhibition; diffusion; nitric oxide; nitric
oxide synthase; pulse signaling
Correspondence
J C Salerno, Biology Department,
Kennesaw State University, 1000
Chastain Road, Kennesaw, GA 30144,
USA
Fax: +1 770 423 6625
Tel: +1 770 423 6177
E-mail: jsalern3@kennesaw.edu
(Received 23 June 2009, revised 4
September 2009, accepted 15 September
2009)
doi:10.1111/j.1742-4658.2009.07382.x
The temporal aspects of signaling are critical to the function of signals in communications, feedback regulation and control The production and transduction of biological signals by enzymes comprises an area of central importance and rapid progress in the biomedical sciences Treatment of sig-naling enzymes almost universally employs steady-state analyses that are suitable for mass catalysis but inappropriate for components in an informa-tion channel or a feedback⁄ control system In the present study, we show that, at 37C, neuronal nitric oxide synthase (EC 1.14.13.39) is progres-sively inhibited by the formation of an inhibited state during the first few turnovers (approximately 200 ms) after the initiation of catalysis, leading
to pulse formation of nitric oxide The general mechanism may be of wide importance in biological signaling
Abbreviations
BH4, tetrahydrobiopterin; BTP, bis-tris propane; CaM, calmodulin; eNOS, endothelial nitric oxide synthase; iNOS, inducible nitric
oxide synthase; NHA, N-hydroxy arginine; nNOS, neuronal nitric oxide synthase; NOS, nitric oxide synthase; sGC, soluble guanylate cyclase.
Trang 2version is the product of time and steady-state rate By
contrast, information transfer in the unmodulated
steady-state is zero because information transfer
depends on bandwidth [8] Almost all work on signal
transducing enzymes treats them as steady-state
cata-lysts This is adequate only when the time regime is
long and information transfer is slow
Nitric oxide synthases (NOS) are signal generators
in such diverse physiological processes as the control
of vascular tone [9,10], signal transduction in the
cen-tral nervous system [11–13] and the immune response
[14–16] NOS (EC 1.14.13.39) generates NO from
l-arginine, consuming 2 mol of O2 and 1.5 mol of
NADPH (three electrons) per mol of NO, and forming
citrulline with N-hydroxy arginine (NHA) as an
inter-mediate NO production by endothelial (eNOS) and
neuronal (nNOS) isoforms is regulated by calmodulin
(CaM) via the control of electron input to the catalytic
site [17] NO activates soluble guanylate cyclase (sGC)
and affects many other sites [18,19]
Recent developments in NO signaling implicate
important secondary targets in addition to sGC [19]
The steady-state diffusion profiles of NO are notable
for their shallow spatial gradients, enabling NO
pro-duced by eNOS to serve as a paracrine signal [20]
NOS isoforms nonetheless target distinct receptors in
nearby cells or even in the same cell [20] One of us
recently suggested that the effective range of diffusion
is limited by time-dependent signal production [21]
Measurement of NO formation on a millisecond time
scale is difficult However, the observation of heme
intermediates provides an avenue for investigation of
the time dependence of NO synthesis
Results
Global model and NO inhibition
The product NO inhibits NOS [22] In iNOS and
eNOS, inhibition is largely relieved by NO scavengers
(e.g hemoglobin) [23]; relief by scavengers is less
effec-tive in nNOS Santolini et al [24,25] proposed a
sim-plified ‘global model’ that accounts for the major
features of NO inhibition The core of this model
pos-its that quasi-geminate NO binds to ferriheme before
escaping the active site Ferriheme NO (FeIII–NO) is
unstable but, if an additional electron is delivered from
FMN before NO escapes, stable ferrous NO forms As
shown in Fig 1, FeIII–NO reduction and NO release
partition the cycle at each turnover; relief of inhibition
proceeds primarily by reaction with O2 [24,26] Strictly
speaking, the rate constants in Fig 1 connect rapid
reaction segments, and not individual states These
reactions segments will be denoted here by the letters A–H, partly to emphasize this, but also because the reaction segments are characterized by different argi-nine derivatives and the states of the biopterin cofac-tors Ignoring this point leads to errors in chemistry The scheme shows the most significant states but omits the reaction intermediates and alternative states The cycle begins with the reduction of ferriheme (FeIII) (segment A) to ferroheme (FeII) (segment B), followed by O2 binding (leading to the initial FeII–O2 complex; segment C) The first oxygenase reaction forms NHA and FeIII (segment D); a second heme reduction (moving the system to segment E) triggers oxygen binding (forming the second FeII–O2 complex; segment F) and, subsequently, a second oxygenase reaction, forming NO and citrulline (initially present primarily as FeIII–NO; segment G) O2 binding and subsequent catalytic steps in both reactions are rapid compared to electron transfer Because of differences
in the rate constants between isoforms, nNOS is more sensitive to quasi-geminate NO inhibition, and is approximately 80% inhibited when turning over in steady-state at 10C at high O2 tension ( 100 torr) [24]
Reasonable projection of rate constants to 37C suggests that nNOS produces short ( 140 ms) pulses
of NO [21]; simulations during the first second of catalysis are provided in Fig 2 The differential equa-tions describing this model are presented in Fig S1 Progressive formation of FeII–NO (segment H) causes
a decay of NO production after the first turnover The sharp peak in NO production depends on the progres-sive formation of inhibitory FeII–NO Therefore, the hypothesis of pulsatile NO production at 37C can
Fig 1 Schematic of reaction cycle for NO synthesis [27] Rapid reaction segments are labeled by characteristic states All states are saturated with arginine or N-OH arginine (starred states), except the NO complexes, which are initially formed with citrulline bound Rate constants k1, k4and k8correspond to heme reduction; k2and
k 5 correspond to oxygen binding; and k 3 and k 6 correspond to cata-lytic steps k7and k9correspond to the release of NO from ferric and ferrous enzyme, and k10 corresponds to the reaction of the ferrous NO complex with oxygen The long-lived FeII–NO complex
is inhibitory.
Trang 3be critically tested by examining the formation of
FeII–NO during the first few turnovers
Spectra of intermediates
As indicated in the preceding section, heme species
with distinct spectra appear during catalysis These
include high spin ferriheme, ferroheme and ferroheme
O2(each with either arginine or NHA); ferriheme NO;
and ferroheme NO in the presence of citrulline (as
formed) or arginine (after exchange) High spin
ferri-heme has a broad Soret band near 395 nm [27],
shift-ing to 410 nm on reduction and 419 nm as the O2
adduct at low temperature [28] Ferroheme O2 formed
after initiation of turnover at 10C has a Soret band
at 427 nm [29] In arginine-saturated eNOS, the
‘heme-oxy II’ species has absorbance maxima near 432, 564
and 597 nm, but, with NHA bound, ferrous O2 peaks
are significantly blue shifted to 428, 560 and 593 nm
[30] In nNOS, ferric NO with arginine has a Soret
maximum at 440 nm and has been reported to be
simi-lar to N-OH arginine; ferrous NO was reported with a
Soret peak at 436 nm and a visible transition at
567 nm [31]
As shown in Fig S2, we observed similar species
We also prepared ferrous NO complex with saturating
arginine and with 1 mm citrulline The ternary
ferro-heme–arginine–NO complex is identical to the species
described by Wang et al [31] with a Soret peak at
436 nm The spectrum of the ferrous–citrulline–NO
complex is very similar (Fig S2, inset), allowing use of
total FeII–NO in simulations Obvious changes in the
trough of the Soret difference spectra are caused by
low spin⁄ high spin thermal equilibrium in citrulline-saturated NOS
Figure 3 (upper trace) shows a difference spectrum obtained by subtracting the spectrum of nNOS, NADPH and arginine from the spectrum of nNOS, NADPH and arginine, 1 s after initiation of turnover
in air-saturated buffer ( 150 torr O2) The lower trace
in Fig 3 shows a difference spectrum of ferroheme
NO of nNOS oxygenase domain minus the nNOS oxy-genase with arginine The Soret and 567 nm bands are marked with arrows Clearly, the majority species formed during turnover at 37C is ferroheme NO, accounting for 74 ± 7% of total heme
Figure 4 shows the results of stopped flow experi-ments measuring the absorbance at 440 nm (lower trace) and 426 nm (upper trace) Wavelengths were chosen to maximize the contributions of the heme NO complexes (440 nm) and the ferroheme oxygen com-plex (426 nm) The 426 nm band has been fit to an exponential with a rate constant of 50 s)1; this ade-quately described the rise of the absorbance, which slightly falls off after 500 ms This is a reasonable mea-sure of the time frame formation of the ferrous oxygen complex, which is limited by the rate of reduction of heme The absorbance at 440 nm is dominated by the ferric and ferrous NO complexes As shown in Fig 3,
as the reaction progresses, the ferrous NO complex is dominant At short times, both complexes contribute, with the ferric NO complex forming slightly earlier in the first turnover The absorbance has been fit with two exponentials The majority contribution has a rate
Fig 3 Difference spectra of nNOS after 1 s of turnover at 37 C minus holoenzyme before activation of turnover in stopped flow (upper trace) and ferrous NO complex of nNOSox minus oxidized nNOSox, showing that the majority turnover species formed is the ferrous NO complex.
Fig 2 Simulations of NO production and population of states in
the catalytic cycle at 37 C Solid line, rate of NO formation (s)1);
dashed line, fractional occupation of FeII–NO segment; black dash–
dot line, total fractional occupation of FeII–O2 complexes; grey
dash––dot line, fractional occupation of FeIII–NO complex
Para-meters: k 1 , k 4 = 52 s)1; k 8 = 28 s)1; k 2 , k 5 = 520 s)1; k 3 ,
k6= 100 s)1; k7= 50 s)1; k9= 0.01 s)1; k10= 1.2 s)1.
Trang 4constant of 8 s)1, and contains contributions from
both NO complexes A minority species accounting for
the initial 25% of the absorbance change has a time
constant of 50 s)1, most likely representing the tail of
the ferrous oxygen complex band These rate constants
are only descriptive because the reaction sequence is
too complex to be modeled with a few exponentials
(see simulations in Fig 5B, and in Fig 7B below)
After the first 100 ms, a significant fraction of the
enzyme is no longer in the initial turnover cycle In
particular, the rise of the ferrous NO complex is not a
single turnover event
To obtain more information, spectra were recorded
at 1 ms intervals using an OLIS RMS rapid scan
spec-trometer The traces shown are from experiments
initi-ated by mixing NADPH reduced nNOS with 200 lm
CaM, which essentially eliminates complications from
flavin spectra because both flavins are already reduced
It is necessary to use high CaM concentrations because
the on-rate for CaM is otherwise not fast enough to
allow observation of the initial reactions It is possible
that the initial reaction (heme reduction) is still
some-what affected by the CaM on-rate The rise of
ferro-heme NO is obvious in all data sets and is consistent
with single wavelength kinetics at 440 nm Fitting of
spectra at all positions to a three-component series
yields initial and final ferric heme components and a
ferroheme NO transient The rise of the transient
corresponds to the falling edge of the NO pulse
Additional components are indicated by residuals in
the early spectra
To improve signal to noise, spectra were averaged over intervals of 10 ms after the first few traces As shown in Fig 5A, after the initiation of catalysis, a Soret component at 427 nm rapidly forms, reaching
a maximum at 20 ms; this is followed by the rise of longer wavelength components, which reach half maxi-mal intensity after 50 ms Long wavelength compo-nents increase slowly until 500 ms, reaching a plateau that extends until reagents are depleted It is
Fig 4 Stopped flow kinetics results at 37 C showing traces at
426 nm (upper trace) and 440 nm (lower trace) after the initiation
of turnover by mixing nNOS pre-reduced with NADPH and
satu-rated with arginine with 200 l M calmodulin and 1 m M CaCl2 The
fits shown are the single exponential with 50 s)1 rate constant
(426 nm) and two exponentials with 50 and 8 s)1rate constants in
a 1 : 3 ratio Absorbance unit scales for 426 and 440 nm are shown
on the right and left vertical axes, respectively.
A
B
Fig 5 Kinetics of nNOS turnover of at 37 C showing progressive FeII NO inhibition (A) Difference spectra of nNOS Soret region during turnover Baseline was averaged over the first four traces (0–3 ms traces), except the 2 ms trace shows the unaveraged dif-ference between 2 and 0 ms, which is reflected by the greater noise The major species are the 436–440 nm NO complexes, but
an early transient can be seen near 425 nm (B) Time course of absorbance changes at 440 and 425 nm together with simulations based on the model in Fig 1 Open circles, 440 nm absorbance; closed diamonds, 425 nm absorbance; dashed line, decay of frac-tional population of ferric heme; dotted line, time course of ferrous
O 2 complexes; light solid line, time course of ferrous NO complex; dash–dot line, rise of total heme NO complex; heavy solid line, combined absorbance of major states at 440 nm; medium solid line, combined absorbance of major states at 425 nm Simulation parameters: k1, k4= 52 s)1; k8= 28 s)1; k2, k5= 1000 s)1; k3,
k6= 200 s)1; k7= 50 s)1; k9= 0.01 s)1; k10= 1 s)1.
Trang 5likely that, during the initial few 100 ms, ferroheme
NO is formed in the presence of citrulline but, at times
longer than 1 s, the dominant ferrous NO complex is
the arginine bound state
Figure 5B shows a plot of absorbance at three
wave-lengths with simulations based on the model shown in
Fig 1 Simulations are derived from a Runge–Kutta
numerical solution of the differential equations
describing the model as previously described [24]
Ferriheme declines from an initial value of 100% of
heme, reaching a steady-state of approximately 7%
The simulation only approximates exponential decay,
primarily as a result of the contribution of ferriheme
N-OH arginine in segment D The first transient
shown is the ferrous O2 complex, which has two
com-ponents (segments C and F) corresponding to the two
oxygenase reactions Hence, the first component is the
arginine ferrous O2 complex and the second the N-OH
arginine ferrous O2 complex The second transient is
ferriheme NO, which has only a single component
(segment G); ferroheme NO increases monotonically,
approximating an exponential after a 20 ms lag
The difference absorbance at 440 nm (open circles)
can be approximated by the sum of contributions from
segments G and H (ferrous and ferric NO complexes)
at times longer than 20 ms; at short times, there is a
small component from ferroheme O2 The simulation
shown includes equal contributions from these species
Between 422 and 430 nm, absorbance changes are
dominated by segments C and F (ferrous oxy
com-plexes) with some apparent contribution from segment
G The ferroheme contribution (not shown) is small,
peaking before 10 ms
The parameters employed in Fig 5 do not represent
a unique fit However, the heme reduction rate is
con-sistent with projection from direct measurements at
lower temperatures, and the data presented require an
initial heme reduction rate in the range 45–60 s)1 to
account for ferroheme O2 formation (but see also the
three-electron model in the Discussion) The rates of
O2binding and catalysis are similarly constrained
(pri-marily at the low end), and the maximum 37C
steady-state turnover rate (2–3 s)1) provides an
addi-tional cross check
Figure 6 shows the temperature dependence of the
rate of heme reduction in nNOS holoenzyme using
several experimental approaches These include
stopped flow measurements of heme-CO derivatives,
single wavelength and spectral measurements made
during early turnover, and flash experiments initiating
electron transfer by CO dissociation [32] Heme
reduc-tion is reasonably well described in this regime by a
single activation energy of 80 kJÆmol)1 NADPH
and CaM initiated rates fall on the same plot, indicat-ing that any effects of CaM bindindicat-ing rates on the initia-tion of electron transfer are secondary
Although the quality of the data does not yet allow deeper analysis of intermediates formed in the first
50 ms, it is clear that steady-state turnover at 37C is inhibited by the formation of a majority ferrous NO complex, leading to production of a pulse of NO dur-ing the initial few turnovers in 100–200 ms It is equally clear that the heme reduction rate is at least
50 s)1, and is not much faster than 70 s)1 Figure 7 illustrates the results of experiments con-ducted at 22C to investigate the ability of nNOS to produce multiple pulses in sequence Figure 7A shows
a sequence in which nNOS turning over in steady-state
is repeatedly stopped and started by the sequential addition of the chelator EDTA and calcium The ini-tial sequence shows the steady-state consumption of NADPH; pulses of higher activity are elicited by stop-ping the reaction with EDTA and restarting with
Ca2+ after an interval of 1–10 s Neither EDTA nor
Ca2+ alone produces a pulse Simultaneous addition
of EDTA and Ca2+ (with a slight excess of EDTA) produces a small pulse expected for a mixing time of 0.5–1.0 s
Figure 7B shows a similar experiment expanded to show the details of the pulses The top trace shows the effect of adding Ca2+to nNOS turning over in steady-state; no pulse is produced because quasi-geminate NO
Fig 6 Temperature dependence of electron transfer rate in nNOS holoenzyme Rates of heme reduction at 10 C are estimated from
CO binding stopped flow experiments [17] and at 15, 25 and
37 C from turnover stopped flow experiments (present study) The rate at 22 C is taken from a flash dissociation initiated experiment [32].
Trang 6is continuously generated in steady-state The other
traces show pulses that increase with the interval
between EDTA and Ca2+addition The lines represent
the steady-state rate, the initial pulse rate after full
recovery, and the initial pulse rate after 3 s recovery
The maximum pulse rate is approximately eight-fold
greater than the steady-state rate, and approximately
half the maximum pulse can be elicited after 3–4 s
The recovery of pulse intensity has a rate constant of
0.25 ± 0.05 s)1 This compares reasonably well to the
1 s)1 rate constant used for the reaction of oxygen
with the ferrous NO complex in 37C simulations,
and is consistent with the slightly greater inhibition observed at 22C than at 10 C Strong pulses can be elicited even after the steady-state activity slows down (not shown), presumably because oxygen consumption slows down the steady-state activity before the initial rate decreases
Discussion
Three-electron models Simulations based directly on the original Santolini model [24] account for the observations made during turnover at 37C at the present level of detail, demon-strating pulsed catalysis under these conditions This confirms the central premise of the model: the progres-sive inhibition by formation of the ferrous NO com-plex from quasi-geminate NO The original model does not account for all features of the catalytic cycle
In particular, only two steps in the productive loop of the model correspond to electron transfer from FMN
to heme
The reactions producing NO from arginine require three electrons The first oxygenase reaction, producing N-OH arginine from arginine, requires two electrons The first electron is explicitly accounted for in the ini-tial step, in which the enzyme is primed for O2binding
by heme reduction The second electron is supplied by tetrahydrobiopterin (BH4) [33,34]; the reductive reac-tion is subsumed into a catalytic step with rate con-stant k3 BH4 and heme are closely associated within the oxygenase domain [35], and thermodynamically favorable electron transfer between them should be rapid in comparison to shuttle delivery of electrons via FMN [36] The second oxygenase reaction requires only one electron to prime heme for O2 binding The initial oxygenase reaction leaves biopterin as a one electron oxidized radical, which must be subsequently reduced to BH4for turnover to continue The electron
is supplied from NADPH via FMN BH4regeneration
is not included in the original two-electron model Several three-electron models that retain inhibitory feedback differ in the position in which BH4is regener-ated In Fig 8A, regeneration occurs immediately after the first oxygenase reaction Heme reduction is followed
by rapid biopterin reduction, so ferriheme predominates
in D and D1 The rate constant essentially describes heme reduction by FMN This is followed immediately
by ferriheme reduction, priming heme for O2binding to start the second oxygenase reaction Differential equations describing the model are given in Fig S3, in addition to two other examples (Figs S4 and S5) In the first, the electron for BH4 regeneration is supplied
A
B
Fig 7 Sequential pulse formation during NO synthesis by nNOS at
22 C, monitored by measuring NADPH consumption at 340 nm.
Pulses were generated by stopping steady-state reaction with
60 l M EDTA and, after a delay, restarting turnover by addition of
60 l M CaCl2 Solutions were mixed with a 500 lL gas tight
Hamil-ton syringe Initial conditions were: 2 l M nNOS in 50 m M Mops (pH
7.5), 50 m M KCl, 10% glycerol, 200 l M arginine, 2 l M calmodulin.
(A) Segments from upper left represent steady-state turnover,
pulse generated by starting and stopping with a 3 s interval, pulse
after a 2 s interval, pulse after simultaneous injection of EDTA and
Ca+2, pulse after 8 s interval, and pulse after 4 s interval (B)
Seg-ments selected from a separate experiment showing pulse regions
in detail Open circles, lack of a pulse when extra Ca 2+ is added
without stopping the reaction; filled diamonds, pulse after 2 s
inter-val; X characters, 8 s interinter-val; filled triangles, 8 s intervals; open
squares, 3 s interval Dashed lines represent the initial (maximum)
rate of the fully developed pulse, steady-state rate at high
( 120 torr) pO 2 , and the initial rate of pulse after a 3 s interval.
Trang 7during catalysis via an unspecified intermediate,
pro-ducing an early appearance of the second ferroheme
oxygen complex In the second model, BH4regeneration
can occur either before or after oxygen complex
for-mation, producing a pathway branched at both the
regenerative step and the inhibitory loop
Figure 8B shows a simulation of experimental data
from 37C kinetics experiments with the three-electron
model of Fig 8A A reasonable fit was obtained by
slight adjustment of kinetics parameters from the
simulation of Fig 5B Using this model, the best fits are obtained with somewhat faster rates for the second and third reductive steps, and a slightly slower rate of catalysis for the first oxygenation One possibility is that the initial electron transfer reaction is slightly affected by a 10 ms delay caused by the rate of binding
of calmodulin We do not claim to be able to estimate all the parameters to high accuracy from these simulations because the simulations are insensitive to some rates as long as they are fast, and because parameters (other than the rates of heme reduction) can often be be adjusted by a factor of two to three It
is not yet feasible to discriminate between three-elec-tron models based on fitting Although two-electhree-elec-tron models account for kinetics, they should be replaced
by three-electron models that explicitly account for stoichiometry
Physiological implications The experimental results presented here demonstrate that nNOS is capable of pulsed production of NO at
37C, and provide an initial characterization of the state of the enzyme during pulse formation and pro-gressive inhibition Pulsatile behavior of nNOS occurs even in air-saturated buffer at an O2 tension of
150 torr
Physiological O2tension varies greatly between tissues and, in some tissues, varies greatly between physiologi-cal states Tissue pO2 varies from approximately
100 torr (in the lung) to 20 torr [37], and falls during stress or exercise As pO2 falls, the removal of the ferrous NO complex slows; ferrous NO formation from the ferric NO branch point is independent of O2tension The inhibited state thus becomes increasingly prevalent Simulations using the models presented here suggest that, in steady-state at 37 C and 40 torr, nNOS is inhibited by more than 90%, assuming that the removal
of ferroheme NO is first order in O2 Further details will
be made available in subsequent studies
Pulsatile behavior of nNOS is therefore likely to be even more pronounced at physiological pO2 The effec-tive Kmfor O2 is much lower for pulsed NO produc-tion, and dominated by oxygen binding to ferrous heme, than for steady-state NO production, in which the relief of inhibition is critical As a result, nNOS steady-state activity is a significant fraction (20–30%)
of the uninhibited rate at the highest physiological oxygen tensions but is a much smaller fraction at lower O2 tensions, whereas pulsed NO production is almost maximal (for example, see [25]) As pointed out
by several groups, the apparent Kmfor nNOS is anom-alously high for a heme oxygenase; Santolini et al [24]
A
B
Fig 8 Three-electron model for NO catalytic cycle (A) Rapid
reac-tion segments are labeled A–H instead of labeling by characteristic
states All states are assumed to be saturated with arginine or
N-OH arginine (starred states) except the NO complexes, which
are initially formed with citrulline bound Rate constants k 1 , k 4 , k¢ 4
and k8 correspond to heme reduction; k2 and k5 correspond to
oxygen binding; and k3and k6correspond to catalytic steps k7and
k 9 correspond to release of NO from ferric and ferrous enzyme,
and k10corresponds to reaction of the ferrous NO complex with
oxygen Segment D is characterized by ferric heme, biopterin
radi-cal and N-OH arginine, whereas, in segment D 1 , the characteristic
state is ferric heme in the presence of BH 4 and N-OH arginine
because the first electron entering heme after N-OH arginine
for-mation regenerates BH4 The long-lived FeII–NO complex (segment
H) is inhibitory (B) Simulations of absorbance kinetic data using the
three-electron model of Fig 8A Open circles, 436 nm absorbance
data; open triangles, 425 nm absorbance data; closed diamonds,
425 nm absorbance data; dashed line, decay of fractional
popula-tion of ferric heme; dotted line, time course of ferrous O2
com-plexes; light solid line, time course of ferrous NO complex; dash–
dot line, rise of total heme NO complex; heavy solid line, combined
absorbance of major states at 440 nm; medium solid line,
com-bined absorbance of major states at 425 nm Parameters:
k 1 = 45 s)1; k 4 , k¢ 4 = 70 s)1, k 8 = 70 s)1; k 2 , k 5 = 800 s)1;
k 3 = 70 s)1, k 6 = 80 s)1; k 7 = 120 s)1; k 9 = 0.02 s)1; k 10 = 0.5 s)1.
Trang 8have attributed this to the relief of inhibition The
pre-steady-state rate of NO synthesis is essentially O2
-inde-pendent until hypoxic levels of oxygen are attained
As noted previously [21], the pulsatile behavior of
nNOS produces very sharp spatial gradients of NO
that limit the range of NO signaling As an example of
the spatial and temporal character of NO diffusion
from a pulse, Fig S6 provides a simulation of
diffu-sion during and following a pulse from a generating
volume of eukaryotic dimensions (i.e a sphere 20 lm
in diameter with internal layers 1 lm thick) The pulse
function used includes a 15 ms delay, a rapid (5 ms)
rise and a 140 ms exponential decay The pulse is
truncated at 210 ms to produce a small marker
dis-continuity Diffusion alone quickly reduces the NO
concentration in volume elements of cellular
dimen-sions or smaller, such that pulses in NO production
always lead to pulses in NO concentration in systems
of that magnitude The concentration pulse produced
here is approximately twice the duration of NO
syn-thesis, and is limited to approximately 50 lm with
respect to the effective range Sharper pulses and
smal-ler generating areas produce sharper pulses in space
and time A small nNOS array in a postsynaptic
region would produce very short ranged pulsed signals
We hope to explore this topic in subsequent studies
Other isoforms
Quasi-geminate NO inhibits iNOS and eNOS less than
nNOS because of differences in the rate constants for
the reduction of steady-state ferroheme NO [27] At
10C and 100 torr, steady-state activity in these
iso-forms is only marginally inhibited, such that NO
formed in pre-steady-state catalysis is negligible
com-pared to NO formed in steady-state However, at low
pO2, inhibition by quasi-geminate NO can be
signifi-cant In constitutively active iNOS, this primarily
reduces steady-state activity at low pO2[24]
Because eNOS, similar to nNOS, is activated by CaM
and phosphorylation, it presents the possibility of
signifi-cant steady-state and pre-steady-state phases of catalysis
Simulations of NO synthesis by eNOS using the models
presented here indicate that, as pO2 falls, progressive
inhibition of steady-state catalysis makes the
pre-steady-state more significant in comparison
Pre-steady-state production of NO by eNOS at low
pO2is, however, quite different than the pre-steady-state
production of NO by nNOS Because heme reduction in
eNOS is more than one order of magnitude slower than
heme reduction in nNOS, eNOS is incapable of
generat-ing sharp pulses unless an additional factor (e.g
phos-phorylation) greatly increases electron transfer In
particular, phosphorylation of sites such as S615 and S633, associated with the autoinhibitory element, and S1177, associated with the C terminal tail regulatory site, increases the electron transfer rate and should preferen-tially promote presteady-state NO synthesis [38] At low
O2(e.g 20 torr) eNOS simulations suggest that it gener-ates NO for several seconds and is progressively inhib-ited; inactivation kinetics and the degree of steady-state inhibition depend on the model and the O2tension, but it
is likely that eNOS is often inhibited by 75–80% in the steady-state Because inactivation is slow, the persistence
of pre-steady-state rates of NO synthesis to low O2 ten-sions produces extended NO production rather than sharp 100 ms pulses Effectively, the pre-steady-state
Kmfor O2is lower than the steady-state Km Because pre-steady-state NO synthesis is extended, diffusion of the NO signal is much less restricted Instead, the negative feedback loop limits the concen-tration of NO produced by active eNOS The higher activity of eNOS in pre-steady-state serves to rapidly establish a level of NO that is capable of activating sGC The pre-steady-state synthesis of NO by eNOS, and its effect on vascular diffusion patterns, will be examined in future studies
Pulsed signal generators
It should be clear that production of signal pulses is not dependent on the details of catalytic cycle mod-els, but reflects instead the progressive inhibition of
a signal generator after activation In the previous model [24] and in the closely-related three-electron models introduced here, feedback inhibition is pro-duced by quasi-geminate NO, a confined reaction product The key element is the production of an additional inhibited state, the ferrous NO complex, which is not the parent of free NO in the productive cycle
The progressive accumulation of a stable enzyme– product complex is one theme that might recur in other signal generators However, this need not involve product inhibition A more general view of pulse gen-eration is presented in Fig 9 The signal generator is initially in a resting state ER; with activation in response to a stimulus produces state EA EAgenerates
a signal but decays to state EI As the inhibited state
EIaccumulates, the rate of signal production falls, lim-iting the extent of the pulse The signal generator is turned off by removal of the stimulus or the introduc-tion of an antagonist, and EI is converted to EIR EIR
in turn decays to the resting state ER
In NOS, EA is produced by CaM binding in response to calcium, and corresponds to the enzyme in
Trang 9the productive catalytic cycle EI corresponds to the
inhibited enzyme tied up as ferrous NO complex
Removal of calcium or phosphorylation stops electron
transfer (state EIR) and reaction with oxygen gradually
restores the original resting state during a latency
per-iod Calcium removal and enzyme inactivation are
rapid events, occurring on a millisecond time scale; as
shown in the present study, the decay of the enzyme to
the resting state occurs on a 1 s time scale
The pulses of NO in simulations presented in the
previous study [21] are strikingly similar in shape to
action potentials and other transport-like transients,
although they are much slower The mechanism
responsible for the generation of these potentials
pro-vides an interesting parallel to pulsed signal generation
in NOS Sodium and potassium channels open in
response to partial membrane depolarization, and ion
currents rapidly depolarize the membrane This
corre-sponds to activation The inhibitory event is
conforma-tional, corresponding to binding of an autoinhibitory
element by activated channels This closes the channels
within milliseconds and allows membrane
repolariza-tion, deactivating the channels The autoinhibitory
element is released in response to deactivation,
regener-ating the resting inactive configuration [39] This is a
rapid process (millisecond time scale) The refractory
period limits the frequency of pulses and the rate of
information transfer Limitations imposed by rate
con-stants of the molecular elements necessitate massive
parallelism in sensory and motor pathways
NO is a retrograde signal in the central nervous
sys-tem [40] Because the refractory period of NO pulses is
much longer than the refractory period of neurons,
NO pulses cannot form spike trains on the time scale
of action potential spike trains An NO ‘spike’ lasts 50–100 times as long as an action potential It is more productive to consider it as a response to the initiation
of synaptic activity rather than a translated action potential
Keller et al [41] recently simulated calmodulin release and activation in synapses, using calcium-sensi-tive dye recordings on a millisecond time scale Apply-ing their results to nNOS activation, it is clear that calcium spikes and high local CaM concentrations are more than sufficient to activate an array of nNOS mol-ecules bound at the synapse through their PDZ domains The time frame of the NO pulse is appropri-ate for a retrograde signal (e.g one that functions as a mediator in synaptic plasticity)
Because signaling is inherently time-dependent, pulse formation on different time scales may be common to many signal generators The appropriate time domain
is determined by many factors, including the informa-tion transfer rate, the time frame of feedback loops that depend on the signals, and the distance over which a diffusible molecular signal acts For slowly-modulated signals, low frequency pulses can be pro-duced using feedback from downstream processes Short pulses are likely to require internal feedback, as
in the nNOS and potassium channel examples
Materials and methods
Expression and purification of nNOS DNA encoding rat nNOS holoenzyme, a gift from Dr S Sny-der (Johns Hopkins University, Baltimore, MD, USA), was cloned in pCWori+ [42,43] Rat nNOS was expressed in Esc-herichia colistrain BL21DE, and purified using ammonium sulfate precipitation and gel filtration and 2¢,5¢-ADP Sepha-rose chromatography [43,44] Activity was measured by oxy-hemoglobin assay, and was 500–700 nmolÆmin)1Æmg)1 protein [43–45] Purified nNOS contained 0.8–1.0 hemeÆ mol)1 (CO difference spectra extinction coefficient of
74 mm)1Æcm)1) and FMN and FAD contents after extraction from nNOS were at least 90% of heme Rat nNOSoxy was expressed and purified as reported previously [44,45]
Spectroscopy The binding of l-arginine, H4B and citruline were moni-tored by UV-visible spectral perturbation Absorbance spectra of purified NOS oxygenase and holo proteins were obtained using a Hitachi U2010 Spectrometer (Hitachi, Tokyo, Japan) and data collection software (UV solutions, Wellesley Hills, MA, USA) Ferric and ferrous nitrosyl complexes were produced at 25C in 40 mm bis-tris
Fig 9 Scheme for internally regulated pulse signal generation E R
denotes a resting state; activation produces the active state EA EA
generates a signal but decays to the inhibited state E I E I
accumula-tion leads to the decay of the pulse After inactivaaccumula-tion (e.g removal
of stimulus or introduction of an antagonist), EIis converted to the
transient state EIR EIRdecays to the resting state ER.
Trang 10propane (BTP) buffer, pH 7.5, 150 mm NaCl, 10 lm H4
-bi-opterin in the presence of either 2 mm l-arginine or
citru-line, or both The final NOS concentration was 3–4 lm,
and NO was generated by the decay of PROLINONOate
(0.2 mm; Alexis Biochemicals, San Diego, CA, USA), an
NO donor Spectra were recorded at 3600 nmÆmin)1; after
collecting oxidized spectra, dithionite was added to obtain
ferrous nitrosyl spectra Difference spectra were obtained
by digital subtraction Pulse trains were generated at 22C
using a 500 lL Hamilton syringe for rapid mixing; the
solu-tion was quickly withdrawn from the cuvette and reinjected
along with an aliquot of the reagent to be added The
mixing time was approximately 0.5 s, and the minimum
interval between additions was approximately 2 s
Kinetics
Kinetics experiments were conducted using an Applied
Photophysics SX stopped flow unit (single wavelength)
(Applied Photophysics, Leatherhead, UK) or an OLIS
RMS-1 rapid scan spectrophotometer (OLIS Instruments,
Bogart, GA, USA) equipped with a stopped flow device
Reactions were initiated by mixing 3–6 lm solutions of
nNOS, 1 mm arginine and 200 lm NADPH in air-saturated
BTP at pH 7.5 with 120 lm calmodulin and 2 mm CaCl2,
or by mixing 3 lm solutions of nNOS, 1 mm arginine,
12 lm calmodulin and 100 lm CaCl2in air-saturated BTP
at pH 7.5 with 1 mm NADPH Data collection and
preliminary analysis of spectral stopped flow data was
performed using olis proprietary software
Simulations
Simulations of kinetics data were carried out as described
previously [24] The systems of first-order differential
equa-tions describing the kinetic behavior of the models were
solved by numerical integration using fourth-order Runge–
Kutta methods Simulations were checked by systematically
setting all rate constants to zero except one, and by
com-parison with Euler’s method programs
Acknowledgements
This work was supported by NIH GM083317-01 (J.S.)
and Axxora LLC (D.G.) We thank Dr R J DeSa for
advice and experimental assistance
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