We study the secondary structure of the blood protein fibrinogen using two-dimensional infrared spectroscopy. With this technique, we identify the amide I' vibrational modes of the antiparallel β-sheets and turns of fibrinogen. We observe ultrafast energy flow among these amide I' vibrational modes with a time constant of ∼7 ps. This energy transfer time constant does not change significantly upon fibrin fiber formation, indicating that the secondary structure of the fibrinogen monomers remains largely unchanged in the polymerization process.
We study the secondary structure of the blood protein fibrinogen using two-dimensional infrared spectroscopy. With this technique, we identify the amide I' vibrational modes of the antiparallel β-sheets and turns of fibrinogen. We observe ultrafast energy flow among these amide I' vibrational modes with a time constant of ∼7 ps. This energy transfer time constant does not change significantly upon fibrin fiber formation, indicating that the secondary structure of the fibrinogen monomers remains largely unchanged in the polymerization process.
Blood clotting is an important
biological process that occurs in
response to an injury to a blood vessel.[1] Blood clots are made up of an elastic network of flexible fibrin
fibers formed from the giant protein fibrin (340 kDa). Fibrin networks
exhibit remarkable elastomeric behavior in response to mechanical
deformations, which is thought to originate from the secondary structure
of the constituent proteins.[2,3] The secondary structure
of isolated fibrin proteins is known,[4] but
it is unclear if and how this changes upon incorporation in fibrils.Fibrin networks have a remarkable ability to withstand the large
shear forces present inside blood vessels.[5] Fibrin also acts like a glue inside the blood clot, holding in place
the platelets that provide reinforcement to the clot structure.[6] Problems with blood clotting can lead to severe
medical conditions, such as strokes and heart attacks.[7,8] In addition to its central importance in hemostasis and vascular
disease, fibrin is also relevant in regenerative medicine. Fibrin’s
unique elasticity and extensibility make it a promising candidate
for use as a cell scaffold to promote wound and tissue repair.[9] Thus, a better understanding of the molecular
structure of fibrin is important, as it could eventually lead to strategies
for preventing thromboembolism and rationally designing fibrin-based
biomaterials with fine-tuned properties.[10,11]The macroscopic properties of blood clots and reconstituted
fibrin
gels have been extensively studied by shear, compression, and tensile
measurements[12−14] and linked to the underlying network and fiber structure
that have been visualized by electron microscopy, atomic force microscopy,
and optical microscopy.[2] Molecular-scale
structural information, showing the influence of assembly factors,
such as thrombin and calcium ion concentration, and oxidation has
been obtained by UV circular dichroism measurements.[15] Recently, Fourier transform infrared (FTIR) spectroscopy[16] and Raman[17] spectroscopic
experiments on bulk blood clots have revealed α-helix to β-sheet
conversion upon stretching. However, these measurements are difficult
to interpret because the spectral contributions of the different secondary
structures strongly overlap.Two-dimensional infrared (2D IR)
spectroscopy is a relatively new
technique that can provide unique structural and dynamical information
on protein systems.[18] Two-dimensional IR
has been shown to be more sensitive than linear infrared absorption
measurements.[19] Up to now, 2D IR experiments
have been extensively used to investigate peptides and proteins, mostly
with sizes of at most a few kilodalton. It is often cumbersome to
resolve the structure and dynamics of proteins consisting of a distribution
of different secondary structures with 2D IR. A convenient method
to achieve enhanced structural sensitivity in 2D IR experiments is
to isotopically label certain amino acids to isolate their resonance
from the congested amide I′ region.[20,21] Another approach to attain structural sensitivity is to combine
2D IR experiments on the amide I′ and amide II′ regions.[22] In this article, we study unlabeled fibrinogen
and fibrin fibers with 2D IR spectroscopy. We show that the picosecond
dynamics inferred from 2D IR spectra provides novel insights into
the interaction between the amide vibrations of the turns and the
β-sheets of the fibrinogen molecule, and that the energy flow
among amide I′ vibrational modes does not appreciably change
upon the incorporation of fibrin in fibers.
Experimental
Section
Sample Preparation
Humanfibrinogen
was purchased from Enzyme Research laboratory (FIB3, Plasminogen,
von Willebrand Factor and Fibronectin Depleted). It was dissolved
at a concentration of 15 mg mL–1 in a deuterated
saline solution (0.5 M NaCl) at 37 °C. Thereafter, the fibrinogen
solution was dialyzed extensively against a deuterated Tris buffer
composed of 0.5 M NaCl and 0.05 M Tris with a pD of 7.4 for 12 h in
a cellulose membrane tubing (SpectralPor 4 dialysis membrane with
a molecular weight cutoff of 12–14 kDa). To minimize exchange
of D2O for H2O, the dialysis was performed inside
a glovebox. After the dialysis, the final concentration of fibrinogen
was determined by measuring the absorbance at 280 nm using a UV–vis
spectrometer (NanoDrop, Thermo Fischer) and an extinction coefficient[23] of 1.6 mg–1 mL cm–1. Fibrin gels were prepared by the addition of deuterated solutions
of calcium chloride and humanthrombin (Enzyme Research Laboratory)
to bring the final concentrations to 2.5 mM calcium ions, 15 mg mL–1 fibrin, and 0.16 NIH per mL thrombin. The gels were
polymerized in situ between two calcium fluoride windows at 37 °C
for approximately 4 h. To perform confocal imaging experiments, we
mixed fibrinogen with a 1:20 molar ratio of Alexa488-labeled fibrinogen
monomers (Life Technologies, Bleiswijk, The Netherlands). The confocal
imaging was performed using a Nikon Eclipse Ti inverted microscope
with a 40× magnification air objective (numerical aperture 0.60)
to confirm the presence of a network upon polymerization.
Two-Dimensional IR Spectroscopy
A
detailed description of the custom-built 2D IR setup can be found
elsewhere.[24] In brief, the two-dimensional
infrared (2D IR) experiment is done in a pump–probe geometry.
A Mach–Zehnder interferometer is placed in the pump beam. The
interferometer allows us to scan the coherence time and, thereby,
enables us to resolve the pump–probe spectra along the frequency
of the pump pulse. The polarization of the pump beam is s, whereas
the polarization of the probe pulse is fixed to an angle of 45°.
This polarization combination of pump and probe pulses allows us to
probe simultaneously ⟨ZZZZ⟩ and ⟨ZZYY⟩
components of the 2D IR signal (see Supporting Information, SI). After the sample, a polarizing beam splitter
separates ⟨ZZZZ⟩ and ⟨ZZYY⟩ components
of the 2D IR signal into two beam paths. The signals are spectrally
dispersed by a spectrograph and detected with a mercury–cadmium–telluride
detection array. The bandwidth of the pump and the probe pulse are
approximately 150 cm–1. In all our 2D IR measurements,
the samples are held between two calcium fluoride windows separated
by 50 μm thick teflon spacers. At the sample position, the energy
of the pump and probe pulses are approximately 2 and 0.2 μJ,
respectively. The samples scatter part of the pump light into the
direction of the probe, leading to interference effects in the detected
probe spectrum. This interference is suppressed by using a wobbler[25] in the pump beam. As a result, we do not observe
any spectral fringes in the diagonal cuts of our 2D IR traces (see SI).
Results
Polymerization of Fibrinogen
Fibrin
fibers are produced by the polymerization of soluble fibrinogen precursor
proteins through a cascade of events.[26] Fibrinogen has two terminal D-regions, where the C-termini of the
two sets of constituent polypeptide chains meet, connected to a central
E-region, where the N-termini meet by three-stranded coiled coil regions[4] (Figure ). Humanfibrinogen consists of almost 31% α-helix,
37% β-sheet, and 32% turns, loops, and random coils.[4] Fibrin clot formation is initiated by enzymatic
cleavage of two short, so-called, fibrinopeptides from the E-region
of the molecule. This process produces the fibrin molecule, which
can polymerize by lateral interactions of the central E-region with
the distal D-region of an adjacent molecule and by longitudinal D:D
interactions to form double-stranded protofibrils. Upon reaching a
critical length, the protofibrils laterally associate via interactions
of the disordered αC-regions that protrude from the surface
of the molecule,[27] resulting in the formation
of a three-dimensional branched network of fibrin fibers (Figure c). In the presence
of factor XIII, the fibers are covalently cross-linked to form an
elastic network.[28] Under the conditions
of our experiments, the polymerization process takes approximately
2 h, as monitored by light scattering (see SI). To ensure complete polymerization, we waited for at least 4 h
before performing the 2D IR measurements.
Figure 1
(a) Crystal structure
of fibrinogen dimer[4] (PDB code: 3ghg). (b) Zoomed-in
section of the boxed area in (a) showing the β-sheets
and turns (residues: Pro138–Gly395 in the L chain as designated
in the PDB file). (c) Confocal fluorescence image of a fibrin gel
(15 mg mL–1) shows the formation of a connected
network of thick fibers. Scale bar: 12 μm. (d) FTIR spectra
of fibrinogen and fibrin gel, both at a protein concentration of 15
mg mL–1. The amide I′ band of the fibrin
gel is inhomogeneously broadened.
(a) Crystal structure
of fibrinogen dimer[4] (PDB code: 3ghg). (b) Zoomed-in
section of the boxed area in (a) showing the β-sheets
and turns (residues: Pro138–Gly395 in the L chain as designated
in the PDB file). (c) Confocal fluorescence image of a fibrin gel
(15 mg mL–1) shows the formation of a connected
network of thick fibers. Scale bar: 12 μm. (d) FTIR spectra
of fibrinogen and fibrin gel, both at a protein concentration of 15
mg mL–1. The amide I′ band of the fibrin
gel is inhomogeneously broadened.
FTIR of Fibrinogen and Fibrin Gels
In Figure d, we present
the linear FTIR spectrum of purified human plasma fibrinogen. The
spectrum shows a single broad and almost featureless amide I′
peak. The large width of this band results from the overlapping contributions
of different secondary structure motifs. The absorbance at 1600 cm–1 can be assigned to the response of the side chains
of several amino acids (Asn, Arg, Gln). Typically, the amide I′
band of α-helical domains is observed near 1650 cm–1. This band has been assigned to the in-phase oscillation of the
amide groups along the α-helical axis. The amide I′ response
of β-sheets generally consists of two bands at 1610–1630
cm–1 (ν⊥ mode) and at 1670–1690
cm–1 (ν∥ mode). When fibrinogen
is polymerized by the addition of thrombin in the presence of factor
XIII (FXIII), thick bundles of protofibrils (radius above 100 nm)
are formed (Figure c, also see SI). We find that upon polymerization,
the amide I′ peak broadens by 5 cm–1, which
could be the result of the loss of homogeneity upon gel formation.Note that the total oligosaccharide content[29] of fibrinogen is only 3%, and only 1.5% of the oligosaccharides
(NeuAc and GlcNAc) will contribute to the amide I′ band. Hence,
the contribution of oligosaccharides to the amide I′ band is
negligible.
Two-Dimensional IR Spectra
of Fibrinogen and
Fibrin Gels
In Figure , we present the 2D IR spectra of fibrinogen at delay times
of 0.3 and 3 ps. The red contours represent the bleaching signal of
the |0⟩ to |1⟩ transition of the amide I′ mode,
whereas the blue contours represent the excited state |1⟩ to
|2⟩ absorption (esa) of this mode. The elongated shape of the
contours in the 2D IR spectra shows that the amide I′ line
shape is strongly inhomogeneously broadened.
Figure 2
Two-dimensional IR spectra
of fibrinogen in ⟨ZZZZ⟩
and ⟨ZZYY⟩ at 0.3 ps (a, b) delay and at 3 ps (c, d)
delay exhibit a ridge along ωpump and at ωprobe = 1660 cm–1. The ridge is emphasized
by the green vertical grid lines around ωprobe =
1660 cm–1. Blue and red contours represent bleach
and esa, respectively. Isotropic 2D IR, (⟨ZZZZ⟩ + 2⟨ZZYY⟩)/3
spectra at pump–probe delay times of 0.3 ps (e) and 3 ps (f)
clearly show changes in line shapes.
Two-dimensional IR spectra
of fibrinogen in ⟨ZZZZ⟩
and ⟨ZZYY⟩ at 0.3 ps (a, b) delay and at 3 ps (c, d)
delay exhibit a ridge along ωpump and at ωprobe = 1660 cm–1. The ridge is emphasized
by the green vertical grid lines around ωprobe =
1660 cm–1. Blue and red contours represent bleach
and esa, respectively. Isotropic 2D IR, (⟨ZZZZ⟩ + 2⟨ZZYY⟩)/3
spectra at pump–probe delay times of 0.3 ps (e) and 3 ps (f)
clearly show changes in line shapes.We observe that the 2D IR spectral line shape becomes more
circular
with increasing delay time, reflecting a spectral diffusion as a result
of energy transfer and/or structural changes. For the fibrin gels,
we observe similar 2D IR spectra (see SI). In addition to the so-called diagonal signals (ωpump = ωprobe), 2D IR spectra can also contain so-called
cross-peak signals (ωpump ≠ ωprobe), reflecting the response of a vibration following the excitation
of another vibration. The 2D IR spectra of fibrinogen in Figure show a cross-peak
signal in the form of an elongated bleaching signal along ωprobe = 1660 cm–1. This signal becomes more
pronounced at large time delays Tw (Figure b,d,f). The cross-peak
signal is stronger in the ⟨ZZYY⟩ compared to the ⟨ΖΖΖΖ⟩
configuration, as shown in Figure c,d. The cross-peak signals are clearly visible in Figure as transient absorption
dips near 1660 cm–1. We also examine the dynamics
of fibrinogen by exciting the amide I′ modes and probing the
amide II′ (1400–1500 cm–1) modes.
We observe an instantaneous amide I′–amide II′
cross-peak. This cross-peak does not show an ingrowth with Tw (see the SI).
Figure 3
Slices
taken through the 2D IR spectra of fibrinogen for ωpump = 1627 cm–1 (a, b) and ωpump =
1680 cm–1 (c, d). The ⟨ZZZZ⟩ (a,c)
and ⟨ZZYY⟩ (b,d) 2D IR spectra at different time delays
clearly represent the ingrowth around ωprobe = 1660
cm–1 as pointed out by the green arrows. Every slice
is normalized with the corresponding bleach signal to illustrate the
ingrowth. The time delays are displayed in the legends and the absorption
change measured in 2D IR is denoted by ΔAbs.
Slices
taken through the 2D IR spectra of fibrinogen for ωpump = 1627 cm–1 (a, b) and ωpump =
1680 cm–1 (c, d). The ⟨ZZZZ⟩ (a,c)
and ⟨ZZYY⟩ (b,d) 2D IR spectra at different time delays
clearly represent the ingrowth around ωprobe = 1660
cm–1 as pointed out by the green arrows. Every slice
is normalized with the corresponding bleach signal to illustrate the
ingrowth. The time delays are displayed in the legends and the absorption
change measured in 2D IR is denoted by ΔAbs.To analyze the dynamics of the 2D IR signals, we
record 2D IR spectra
for different delay times between the excitation and the probe pulses.
In Figure , we present
transient absorption spectra at different delays for ωpump = 1627 cm–1 (Figure a,b) and ωpump = 1680 cm–1 (Figure c,d). These transient spectra represent slices of the 2D IR
spectra taken at these excitation frequencies. Every spectral trace
is normalized with respect to the minimum of the bleach (at ∼1640
cm–1 in Figure a,b, at ∼1680 cm–1 in Figure c,d), and the eventual
heating signal has been subtracted. The normalized transient spectra
at different delay times clearly show that the cross-peak signal at
1660 cm–1 shows a relative increase with increasing
delay time. This ingrowth indicates the transfer of the excitation
from vibrational modes that are excited at 1627 and 1680 cm–1 to a vibrational mode with its maximum response at 1660 cm–1. It should be noted that the reverse energy transfer from an excited
mode at 1660 cm–1 to a probed mode at 1627 cm–1 cannot be observed, as this response overlaps with
the strong excited state absorption band.We assign the modes
at 1627 and 1680 cm–1 to
the ν⊥ and ν∥ modes
of the antiparallel β-sheet structure.[19,21,22] The mode at 1660 cm–1 represents
an amide vibration that is either located in an α-helix or in
a turn. The crystal structure[4] of fibrinogen
clearly shows the presence of β-sheets and a significant amount
of turns at the C-termini (Figure ). The observation of energy transfer between the β-sheet
modes at 1627 and 1680 cm–1 to a mode at 1660 cm–1 implies that this latter mode must be in close proximity
to the β-sheet. In view of the crystal structure of fibrinogen,
in which the antiparallel β-sheets are close to the turns, we
assign the 1660 cm–1 mode to amide vibrations located
in the turns.[30,31]From the subdivision of
the transient spectra in spectral components
associated with the two coupled vibrations, we can also determine
the anisotropy by modeling the ⟨ZZZZ⟩ and the ⟨ZZYY⟩
2D IR signals with these spectral components. We can thus extract
a value of the anisotropy of the cross-peak of 0.29, which differs
in both sign and magnitude from the cross-peak between the ν⊥ and ν∥ modes of a typical
antiparallel β-sheet. For instance, the cross-peak of the β-sheet
conformation of poly-l-lysine shows an anisotropy of −0.16
(see the SI). This difference corroborates
our assignment of the 1660 cm–1 mode to the amide
I′ vibration of turns.
Kinetic
Modeling of the Vibrational Energy
Transfer
To extract the dynamics of the energy transfer between
the amide I′ modes of the antiparallel β-sheets and the
turns, we fit the transient spectra of Figure with a kinetic model that is schematically
depicted in Figure .
Figure 4
Kinetic model: The two states |1⟩
and |1⟩ represent the first excited
states of the vibrational modes at 1627 and 1660 cm–1, respectively. The ground state is represented by |0⟩. The
vibrational relaxation time constants (or rate constants) are given
by T (or k) and T (or k). The rate constants of the population exchange between the excited
states are denoted by k and k. These rate constants are related
by a Boltzmann factor.
Kinetic model: The two states |1⟩
and |1⟩ represent the first excited
states of the vibrational modes at 1627 and 1660 cm–1, respectively. The ground state is represented by |0⟩. The
vibrational relaxation time constants (or rate constants) are given
by T (or k) and T (or k). The rate constants of the population exchange between the excited
states are denoted by k and k. These rate constants are related
by a Boltzmann factor.We assume that the data sets can be decomposed into time-dependent
populations N(τ)
of the vibrational states and the corresponding spectral signatures
represented by Δσ(ω).
Thus, the transient spectrum, Δαiso(ω,τ),
is given by the following expression: Δαiso(ω,τ) = N(τ)·Δσ(ω) + N(τ)·Δσ(ω) + N0(τ)·Δσ0(ω), where the subscripts a, b, and 0 represent the first excited states of the respective
vibrational modes at 1627 and 1660 cm–1, and the
ground state. It should be noted that Δσ(ω) represents differential absorption spectra. The component
Δσ0(ω) accounts for the heating effect
on the ground state absorption spectrum that results from the vibrational
relaxation of the excitation of the sample by the intense pump pulse.
In all presented data sets, we have already subtracted this contribution.
The time-dependent populations of the different states are governed
by the following set of coupled equationsHerein, we also assume that
the uphill and
the downhill rate constants k and k are related
by the Boltzmann factor. The solutions of the rate equations, N(t) (where i = a, b, or 0), are calculated
by determining the eigenvalues of the rate-constant matrix. The time-dependent
populations are then used to extract the spectral signatures Δσ(ω) and Δσ(ω), and the rate constants from a global least
square fit using the following expressionIn practice, initial guesses of the basis
sets are helpful to reduce the complexity of the fitting routine.
Thus, assuming no effective population transfer at early delay time,
from the 2D IR horizontal slice at 0.3 ps, we determine an initial
guess for Δσ(ini)(ω). Likewise, using the 2D
IR horizontal slice at 2.5 ps and using Δσ(ini)(ω), we construct an initial guess for Δσ(ini)(ω). The resulting spectral signatures Δσ(ω) and Δσ(ω) of fibrinogen obtained from the global fitting routine
are shown in Figure (see also the SI).
Figure 5
Transient spectra signatures
Δσ(ω) and Δσ(ω)
for fibrinogen obtained by fitting the isotropic 2D IR signals, (⟨ZZZZ⟩
+ 2⟨ZZYY⟩)/3, with the fitting procedure described in
the text.
Transient spectra signatures
Δσ(ω) and Δσ(ω)
for fibrinogen obtained by fitting the isotropic 2D IR signals, (⟨ZZZZ⟩
+ 2⟨ZZYY⟩)/3, with the fitting procedure described in
the text.The top panel of Figure represents the measured spectra
and the bottom panel the
fitted spectra at the corresponding delay times. The kinetic model
provides an excellent description of the ingrowth of the cross-peak
signal at 1660 cm–1. From the fit we find the following
rate constants for fibrinogen: k = 1/(1.38
± 0.03) ps–1, k = 1/(2.67 ± 0.05) ps–1, k = 1/(7.17 ± 0.49) ps–1. For the
fibrin gel, we obtain k = 1/(1.40 ±
0.04) ps–1, k = 1/(2.71
± 0.05) ps–1, and k = 1/(6.68 ± 0.55) ps–1.
Figure 6
(a) Ten representative
slices taken from isotropic 2D IR spectra
at ωpump = 1627 cm–1 of fibrinogen.
The corresponding fitted curves using the kinetic model depicted in Figure are shown in (b).
(a) Ten representative
slices taken from isotropic 2D IR spectra
at ωpump = 1627 cm–1 of fibrinogen.
The corresponding fitted curves using the kinetic model depicted in Figure are shown in (b).
Discussion
Our 2D IR results show that the broad and featureless linear infrared
absorption spectrum of fibrinogen contains distinct amide I′
bands. The presence of these different modes becomes particularly
clear, thanks to their quite different dynamics on the picosecond
time scale. We observe energy transfer from the amide I′ vibrations
of the antiparallel β-sheet structure to the amide I′
vibrations of the turns. For fibrin gels, we observe a similar ingrowing
cross-peak signal (see the SI), thus allowing
a similar distinction between the amide I′ vibrations of the
antiparallel β-sheets and the turns.We can estimate the
average spatial distance between the excited
and probed transition dipoles using the Förster-energy transfer
rate equation.[32] Using the rate constants
obtained from the fit, εmax = 2.67 M–1 cm–1, assuming a homogeneous linewidth of 10 cm–1 for each of the modes, and an orientation factor
⟨κ2⟩ of 2/3, considering an isotropic
distribution of the vibrational dipoles, we obtain an average distance
of 14 Å between the interacting amide vibrations. This distance
is consistent with the expected distance between an amide group within
an antiparallel β-sheet and an amide group of a turn.In a 2D IR study of tripzip2, very fast energy transfer was observed
among the β-sheet amide I′ modes.[33] Interestingly, for fibrin, we do not observe energy transfer
between the β-sheet modes on a picosecond time scale, as is
clear from the fact that excitation at 1627 cm–1 does not lead to a cross-peak signal at 1680 cm–1 and vice versa.The rate of energy transfer between the amide
I′ vibrations
observed here is similar to the transfer rates observed for alanine
tripeptide[34] and antifreeze proteins.[35] We find that neither the relaxation rates nor
the energy-transfer rate change significantly upon fibrin fiber formation,
indicating that the secondary structure of fibrin does not change
upon polymerization.
Conclusions
We study
the structure and dynamics of fibrinogen and fibrin gels
using femtosecond two-dimensional infrared spectroscopy. The 2D IR
spectra show distinct amide I′ bands that are not observed
in the linear FTIR spectrum. Furthermore, we observe energy transfer
between the amide I′ bands, indicating that these bands belong
to amide groups of closely spaced antiparallel β-sheets and
turns. The rate of energy transfer does not change significantly upon
polymerization, indicating that the secondary structure of the fibrin
monomers does not change upon fiber formation. We thus find that the
dynamics of 2D IR spectra constitute a powerful approach to resolve
secondary structures of large proteins. The presented approach can
be used to investigate a wide range of natural fibril-forming proteins.[36−38]
Authors: Izabela K Piechocka; Karin A Jansen; Chase P Broedersz; Nicholas A Kurniawan; Fred C MacKintosh; Gijsje H Koenderink Journal: Soft Matter Date: 2016-01-13 Impact factor: 3.679