feature articles
Small-angle scattering and its interplay with crystallography, contrast variation in SAXS and SANS
aGKSS Forschungszentrum, Geesthacht, Germany, and Institut de Biologie Structurale Jean-Pierre Ebel, CEA/CNRS/UJF, F-38027 Grenoble, France
*Correspondence e-mail: heinrich.stuhrmann@orange.fr
Methods of contrast variation are tools that are essential in macromolecular structure research.
of X-ray diffraction is widely used in protein crystallography. Recent attempts to extend this method to native resonant labels like sulfur and phosphorus are promising. Substitution of hydrogen isotopes is central to biological applications of neutron scattering. Proton spin polarization considerably enhances an existing contrast prepared by isotopic substitution. Concepts and methods of nuclear magnetic resonance (NMR) become an important ingredient in neutron scattering from dynamically polarized targets.1. Introduction
For a number of reasons, structural biology has been the field where the interplay of small-angle scattering (SAS) with crystallography has been most visible. Very soon after the determination of the structure of myoglobin by Kendrew et al. (1960), the question was raised whether this structure from X-ray crystallography would also exist in solution. To decide this question, small-angle X-ray scattering (SAXS) was performed on solutions of myoglobin. First experiments of SAXS in 1964 (Kirste & Stuhrmann, 1967) showed that the of myoglobin in solution appeared to be slightly larger than that calculated from the crystallographic model. Did the structure of myoglobin really differ from that in the crystal, as a referee from Nature would have liked to make us say? Or was there simply a shortcoming in the interpretation of the SAXS data? At that time, we hesitated to give a definite answer, and we looked more carefully into the analysis of the data from solution scattering. It was fairly soon realized that myoglobin embedded in a solvent would give rise to a profile of SAXS that is different from that of the `free' molecule (Kirste & Stuhrmann, 1967). This was the way to contrast variation in SAXS. Its basic idea had been expressed for protein crystallography well before by Bragg & Perutz (1952):
`Suppose a region [= volume] v of constant shape to be occupied by the molecule which for the present purposes is defined as the region into which salt does not penetrate when a salt solution is substituted for water. It is assumed that the density of the liquid outside v is uniform. The effect on the value of F [= structure factor] of increasing density everywhere outside v is equivalent to that of decreasing density by an equal amount everywhere inside v, since a uniform distribution of density has no effect on F. It follows that the values F(water) − F(salt) are the F values for a region v of uniform density equal to the difference between the electron concentration of the salt solution and water.'
This argument was introduced by Bragg & Perutz (1952) to explain reversible changes in the intensities of low-order X-ray reflections from a haemoglobin crystal and to deduce from these the shape and orientation of the haemoglobin molecules occupying the volume v within the It is also the description of what later became known as contrast variation in small-angle scattering from macromolecules in solution (Stuhrmann & Kirste, 1965).
Contrast variation by solvent exchange is a low-resolution method. It is for this reason it has been superseded by a method using heavy-metal derivatives, which allowed the first determination of a protein structure at nearly atomic resolution (Kendrew et al., 1960). With the advent of powerful sources of and of X-rays from storage rings, methods of anomalous X-ray diffraction and of isotopic substitution in neutron scattering became powerful tools in condensed-matter research.
The tools of contrast variation being equal both for crystallography and for SAS, the principal difference between these two methods originates from the order of the molecules in the sample. It is perfect in crystals and non-existent in molecules in solution. Hence, the structural information that can be extracted from the scattered intensity is vastly different: there is
from crystals and there is model building at low resolution in SAS from monodisperse solutions. We will put this situation into a mathematical form. Then we will turn to the methods of contrast variation in both crystallography and SAS.2. Uniqueness
The relation between diffraction from a single crystal and scattering from a dilute solute solution of equal randomly oriented particles is most easily shown in terms of spherical harmonics. The scattering amplitude F(Q) is
where rn,θn,φn are the polar coordinates of the nth atom. The first line refers to rn in Cartesian coordinates. jl is the spherical Bessel function of the lth order and Yl,m are the spherical harmonics. Q is the modulus of the scattering vector Q, and Ω is its unit vector in Fourier space. Note that in the crystal one sums over the N atoms of the entire which usually has its own space-group symmetries, whereas for isolated molecules one sums over a molecule which has only point-group symmetries at most. The intensity diffracted by a crystal depends on the absolute square of the amplitude,
where Q meets the Laue condition. In solution, the observable scattering intensity is the sum of the intensities scattered by each molecule according to its random orientation.
Each multipole in real space, ρl,m(r)Yl,m(θ,φ), gives rise to its own scattering function |Fl,m(Q)|2. An interesting way to create structures leaving I(Q) unchanged starts from the definition of partial structures ρl(r).
The rotation of a ρl(r) by an arbitrary angle with respect to the rest of the structure has no influence on I(Q) but it does change the scalar field ρ(r) (Stuhrmann, 1970a). Any analysis of I(Q) aiming at a possibly unique solution will rely on assumptions that restrict the number of structures, the scattering curves of which agree with measured data.
In some cases, the symmetry of the particles studied in solution might be known from other techniques, e.g. from A relatively small number of multipoles might suffice to describe isometric structures, like viruses (Finch & Holmes, 1967). Ideally, the structure might be spherical, which would allow a structure analysis which is quite close to that in crystallography. Another assumption is a particle of uniform density as was proposed by Bragg & Perutz (1952), which will be discussed in §§4 and 5.
3. Contrast variation
Generalization of the recipe given by Bragg & Perutz (1952) makes the scattering amplitude F(Q) assume the following form:
U(Q) is the amplitude of the molecule in vacuo. In the case of solvent contrast variation, X would be the negative value of the scattering density (sum of scattering lengths per unit volume) of the solvent and V(Q) would be the amplitude of the macromolecular volume. If the labelled atoms belong to the macromolecule, X will be positive. With resonant (anomalous) scattering, the f = f0 + f′ + if′′ will have to be used. From (5) and (2), one obtains the intensity S(Q) diffracted by a crystal:
The coefficients B, C and D are given in Table 1. The coefficient A takes into account the non-resonant atomic scattering factors.
|
The internal structure appears most clearly when the scattering-length density of the dissolved particle, ρp, equals that of the solvent ρs, i.e. when the contrast ρ = ρp − ρs vanishes. The variation of the intensity of SAS from solutions is often written in the following form:
With the amplitude F0(Q) at the matching point and FC(Q) as the amplitude associated with the contrast ρ, the basic scattering functions of (7) are I0(Q) = 〈|F0(Q)|2〉, IC(Q) = 〈|FC(Q)|2〉 and IC0(Q) = 〈2Re{F0(Q)FC(Q)}〉. The brackets 〈…〉 denote the average of intensity from randomly oriented particles. One way to obtain the averaged scattering intensity is to replace the amplitudes by the radial functions of the multipole expansion and to perform the double sum as in (3).
At small Q, the Rg is obtained from a The variation of Rg with the solvent scattering density, ρs, provides an unmistakable feature of the low-resolution architecture of complex particles in solution (Ibel & Stuhrmann, 1975).
Particles with a high density core (e.g. ribosomes, ferritin) will give rise to a negative α, whereas particles with a low-density core (e.g. nucleosome core particle, low-density lipoprotein) give rise to a positive α, in a spherical approximation. A non-vanishing β would be due to a dipolar structure, i.e. the centres of mass of the different components of the particle would not coincide.
Anomalous SAS from randomly oriented molecules is less powerful than anomalous diffraction from single crystals because at low resolution the effects of f′ and f′′ are relatively much weaker than at high resolution. The relative change of the intensity, , of anomalous diffraction has been estimated by Crick & Magdoff (1956):
Nr = number of resonant atoms per Nl = number of non-resonant atoms C, N and O (taken to be molecular weight/14.7), fr = factor, fl = taken to be 7 electrons, an average of C, N and O).
At low resolution, and in particular with SAS from solutions, is
For one resonant atom among 100 non-resonant atoms, the relative change of the intensity due to anomalous diffraction at high resolution would exceed that of Q by a factor of ten. It is for this reason that experiments of anomalous SAXS have remained rare in biological structure research (Kühnholz, 1991). Anomalous SAXS is more often used for the study of materials (Goerigk et al., 2004; Simon, 2007). Examples of the variation of the scattering length of resonant X-ray scattering and of nuclear polarization-dependent neutron scattering are shown in Fig. 1.
at low4. The solvent phase
Many applications of SAS in solution aim at the determination of macromolecular shapes from IC(Q) in (7). In protein crystallography, such attempts have been rare and they will be presented as proofs of principle.
4.1. Lipid phase of purple membrane
Purple membrane lends itself to a comparison of different methods of contrast variation using resonant X-ray scattering and isotopic substitution in neutron scattering. While the structure of its membrane protein is well known (Henderson & Unwin, 1975), this is much less the case with the lipid phase. The latter is rich in phosphates and sulfates. Anomalous X-ray scattering from both phosphorus (Fig. 2) and sulfur may therefore elucidate the lipid–protein interaction. Neutron scattering in mixtures of H2O /D2O reveals the repartition of the aqueous phase in purple membrane.
K-edge makes phosphorus an excellent native label in structural studies (Fig. 1). For a purple-membrane stack, strong anomalous diffraction is expected at E1 = 2152 and E2 = 2154 eV, where the difference in f′ is largest and the change in absorption (proportional to f′′) is smallest. Significant changes in the diffracted intensity are observed at low values of (h,k) (Fig. 3), notably with the (1,1) and (2,0) reflections. This result agrees remarkably well with corresponding neutron diffraction data from purple membrane in H2O /D2O mixtures (Worcester, 1975; Zaccai & Gilmore, 1979). Phosphorus, as part of the polar head groups of the occupies the space between the proteins as does water (Fig. 4). Both provide a negative print of the hexagonal protein lattice.
near theAt this point, a technical remark seems appropriate. The e.g. it amounts to 0.02 mm water for 5.7 Å photons. While thin flat samples of purple membrane of that thickness and also solutions in flat sample holders are rather easily prepared and studied by soft X-rays, this is less obvious for protein crystals (Stuhrmann et al., 1997; Biou et al., 2005). The reduced imposes some constraints on the design of a set up for soft X-ray diffraction which are not unsurmountable (Djinović Carugo et al., 2005; Biou et al., 2005).
of soft X-rays in nearly any kind of matter is low,4.2. The solvent phase in proteins, MASC
As pointed out by Bricogne (1993), at several wavelengths by the solvent of a macromolecular crystal can be used to phase Bragg reflections and thus pave the way to The similarity of this approach with that of Bragg and Perutz is evident. The new element of the method is that the amplitude of the scattering density of the solvent is a complex number, whence its phasing power as implicitly stated in (6).
The theory of MASC (multiwavelength anomalous solvent contrast) assuming a binary density model of the protein and the solvent volume in the crystal and the first results were reported by Fourme et al. (1995). MASC experiments have been performed on three protein structures of different molecular weight (Ramin et al., 1999). In all cases, ordered anomalous scatterers were found in addition to disordered atoms. When only MASC effects are taken into account, the agreement between experimental and model values is satisfactory at very low resolution (d > 20 Å).
While the method of MASC has hardly been used since then, the method of ) as a substitute for sulfur in methionine is widely used in protein crystallography (Hendrickson, 1991). Fig. 5 shows the Argand diagram of the 1,0,−1 reflection of trypsin crystallized from a solution of ammonium sulfate as mother liquor at wavelengths near the K-edge of sulfur. As the of the sulfate ion is shifted by 10 eV to higher energies with respect to that of sulfur in methionine and cystine, the anomalous dispersions of sulfates (MASC) and sulfur of methionine and cystin (MAD) are well separated (Stuhrmann et al., 1997).
using selenium (Fig. 14.3. Shapes of proteins from SAS
For a long time, simple shapes, like spheres, hollow spheres, ellipsoids, to mention some, were considered to be sufficient for the interpretation of SAS from compact particles. With a shape scattering function, IC(Q), obtained cleanly by solvent contrast variation, a more general approach has been introduced. The surface of a particle is described by a single-valued function of the angles θ and φ (Stuhrmann, 1970b,c):
The coefficients fl,m are determined by a non-linear optimization procedure that minimizes the R factor between the calculated shape scattering function and the experimental curves (Svergun & Stuhrmann, 1991; Svergun, 1997). Computer simulation on model bodies indicated that the low-resolution shape determination for error-free data is unique, even when very limited ranges are used in the simulated curves (Svergun et al., 1996). Some tests on X-ray scattering from several proteins with known atomic structures in the crystal are shown in Fig. 6. This method is being used successfully (König et al., 1998; Macheroux et al., 1998).
The envelope representation has intrinsic limitations, e.g. it is impossible to account for holes inside the particle. A remedy for this shortcoming came from Monte Carlo type methods, which produce a more or less compact particle from a large number of connected scattering centres (spherical beads) in a confined volume (Chacon et al., 1998; Svergun, 1999; Walther et al., 2000; Heller et al., 2002).
Another limitation of the ab initio shape-determination methods is the assumption of uniform scattering-length density, which restricts the usable portion of the scattering data (typically up to 20 Å resolution for proteins in the absence of solvent contrast variation). In an alternative approach (Svergun et al., 2001; Svergun, 2007), the protein is represented by an assembly of dummy residues instead of beads, whereby each residue has a form factor equal to that residue in water. The method starts from a randomly distributed gas of dummy residues. The number of dummy residues is usually known a priori from the sequence and the method employs simulated annealing to find the coordinates of the residues fitting the experimental data and building a protein-like structure (Davies et al., 2005; Hough et al., 2004; Shi et al., 2005).
As a model consisting of dummy residues is more detailed than a shape of uniform density, the uniqueness of ).
from SAS data is lost, at least to some extent. Running the Monte Carlo methods from random starts produces somewhat different models yielding nearly identical scattering patterns. These models can be superimposed and averaged to obtain the most probable model (Volkov & Svergun, 20035. The internal structure
The internal structure is more complicated than its envelope. Its elucidation is what is usually called . Measurement of neutron scattering in H2O /D2O mixtures provides the easiest access to the basic scattering functions. A more pinpointed attack will rely on labelling an interesting region of a particle either by resonant X-ray scattering or by isotopic substitution in neutron scattering (Table 1). In the latter case, the contrast of the label can be enhanced by nuclear polarization (§6).
It requires the analysis of all accessible basic scattering functions in (6)5.1. The nucleosome core particle
The neutron scattering study of the nucleosome core particle by Hjelm et al. (1977) is one of the first applications of solvent contrast variation. The particle contains 195 base pairs of DNA and histones H2A, H2B, H3 and H4 (Fig. 7). Measurement of the intensity of neutron small-angle scattering (SANS) in various H2O /D2O solvents allowed the contrast dependence of Rg to be examined giving ρp, a positive α and β = 0. As the scattering density of proteins is lower than that of DNA, there is an increased probability of finding the histones in the core region of the particle. The analysis of the basic scattering functions defined by (7) allows the modelling of the particle shape and its internal structure. The spherically averaged structure contains most of its histones in a core of 32 Å radius surrounded by a loosely packed DNA-rich shell resulting in a particle of 52 Å radius on average.
In the next step, neutron diffraction data from crystals of the nucleosome core particle were measured to a resolution of 25 Å (Bentley et al., 1981). Using H2O /D2O mixtures containing 39% D2O and 65% D2O, the scattering density of the histones and of the DNA, respectively, had been matched. The data were consistent with a model in which 1.8 turns of a DNA superhelix of pitch 27.5 Å and radius 42 Å are wound around the protein core. X-ray diffraction data at 7 Å resolution corroborated this model (O'Halloran et al., 1987). The features of the early low-resolution model derived from neutron scattering remain most striking, even at atomic resolution (Fig. 7) (Davey et al., 2002).
5.2. RNA in satellite tobacco necrosis virus
A number of high-resolution X-ray crystallographic studies of icosahedral viruses has given atomic models of the protein coat. These results have revealed a remarkable structural similarity in those domains of the protein which are responsible for organizing the subunits on an icosahedral lattice to form the outer protective coat of the virus. By contrast, details of the internal structure, i.e. the RNA and the regions of the proteins which interact with the RNA, are lacking. Neutron diffraction in H2O /D2O mixtures is the method of choice to complete a virus structure.
The satellite tobacco necrosis virus (STNV) has 60 identical subunits arranged on a T = 1 icosahedral lattice to form a shell which encloses a single strand of RNA. In the X-ray analysis, nearly all main-chain atoms of the protein coat and most of the side-chain atoms are well ordered in the electron-density map (Jones & Liljas, 1984).
Neutron diffraction from a STNV crystal soaked with an H2O /D2O mixture containing 40% D2O shows essentially the positive density of RNA. A view along the fivefold axis from the virus centre is shown in Fig. 8. Two different structural motifs can be distinguished. The RNA density (motif 1) lies along the edges of each triangle, thus forming the edges of an icosahedron. The RNA density of motif 2 lies on a fivefold axis at a distance of 67 Å from the virus centre. Minor regions of density seen at larger distances correspond to positive fluctuations of the protein density (Bentley et al., 1987).
5.3. The ribosome
There is probably no other particle of which the structure has been studied so intensely as ribosome. Various methods were used to get a microscopic picture of the
controlled protein synthesis.The shape of the E. coli ribosome (M = 2.4 × 106 Da) and that of its two unequal subunits with M = 0.9 × 106 and M = 1.5 × 106 Da, respectively, were obtained by electron microscopy. Quite a number of the over 50 different ribosomal proteins could be visualized by their antibodies using the method of immune (Stöffler et al., 1988). Neutron scattering in H2O /D2O mixtures distinguished clearly between the ribosomal proteins and the which comprises two thirds of the particle (Serdyuk & Grenader, 1974; Stuhrmann et al., 1978).
It was in the early 70's when Hoppe (1972) and Engelman & Moore (1972) presented a method for the determination of the architecture of multi-protein complexes, the essential prerequisite being that each of their components would be amenable to selective deuteration. A sufficiently large number of interprotein distances determined by neutron scattering allows the reconstruction of a three-dimensional model by triangulation. The result of 15 years neutron scattering from the small subunit of E. coli ribosomes is shown in Fig. 9 (Capel et al., 1988). The model compares well with the more recent crystallographic model of the small ribosomal subunit at atomic resolution (Wimberly et al., 2000).
A more efficient way of contrast variation by proton spin polarization (Fig. 1) turned out to be the more appropriate choice for the study of the large ribosomal subunit with its 34 proteins and of the even larger functional complex of the ribosome. As there is a strong variation of the intensity of incoherent neutron scattering from the protons with nuclear polarization, the presence of protons in the sample has been restricted to a minimum. Except for the region of interest (= label), the ribosomal particle and the solvent were perdeuterated.
The analysis of the neutron scattering data in terms of (6) starts from the amplitude U(Q) of the particle shape known from The amplitude V(Q) of the label is determined by a non-linear optimization procedure that minimizes the R factor between the calculated basic scattering functions and the experimental curves. The result is a low-resolution model of the in situ structure of the label and of its coordinates with respect to the ribosomal shape. A number of proteins of the large ribosomal subunit have been studied in this way (Fig. 10). Many of the protein positions agree with those of the crystallographic model from Ban et al. (1998) but some are at variance (Willumeit et al., 2001).
There is another method aiming at the in situ structure of regions inside a larger particle using selective gradual deuteration, i.e. `triple isotopic substitution' (TIS) (Serdyuk & Pavlov, 1988). The gist of the TIS method is that it eliminates any interference of the amplitude of the label with that of the host particle at any concentration of the solute, a property which it shares with the triangulation method (Serdyuk & Zaccai, 1996).
6. Nuclear spin contrast
The history of nuclear spin contrast, and in particular of proton spin contrast, started with polarized neutron diffraction from dynamically polarized proton spins of a crystal (Hayter et al., 1974; Leslie et al., 1980). After an interruption of several years, nuclear spin contrast variation became a new technique of neutron small-angle scattering and now there are reasons to believe that it will be appreciated by crystallographers again in the not too distant future. What were and what still are the driving forces of this development?
Most importantly, there is a huge change of the scattering length of polarized coherent neutron scattering from polarized protons (Fig. 1). vanishes when the direction of proton polarization coincides with the polarization direction of the neutron beam.
High nuclear polarization in insulators – most hydrogenous substances belong to this class – is achieved by the method of dynamic nuclear spin polarization (Abragam & Goldman, 1978). A small amount of paramagnetic centres is added to the sample. In a moderately strong magnetic field of 2.5 T at temperatures T ≤ 1 K, microwave irradiation will polarize the nuclear spins. The direction of nuclear spin polarization P depends on the choice of the microwave frequency. Slightly below the (EPR), P will be positive, and, slightly above the EPR, P will be negative with respect to the direction of the external magnetic field. The polarization of the polarized nuclei is measured by NMR. NMR techniques are also used to selectively change the polarization of different isotopes. As already pointed out by Hayter et al. (1974), a possible discrimination between atoms of the same isotope differing in their Larmor frequency due to their distance from a paramagnetic centre by NMR techniques would open new prospects in structural studies.
It is for this reason that dynamically polarized protons of a crystal of lanthanum magnesium nitrate (LMN) La2Mg3(NO3)12·26H2O doped with 142Nd3+ were studied by polarized neutron diffraction (Hayter et al., 1974). The positions of the H atoms had been obtained from a limited set of reflections. The non-uniform proton polarization was one of the reasons for the unexpectedly poor quality of the polarized proton-density map (Leslie et al., 1980). Later, John Hayter advised the author of this paper not to resume this line of research but rather to use nuclear polarization by brute force, i.e. at thermal equilibrium.
In the mid 80's, several groups embarked on experiments of polarized SANS from dynamically polarized proton spins in et al., 1987), polymers (Glättli et al., 1989) and biological macromolecules (Knop et al., 1986, 1992). All of them took advantage of a new type of polarized target material which had been optimized for high-energy-physics experiments. Its preparation for the purpose of neutron scattering from hydrophilic macromolecules is simple. A small amount of an organic radical, e.g. the sodium salt of bis(2-hydroxy-2-ethylbutyrato)-oxochromate (abbreviated as EHBA-CrV) (Krumpolc & Rožek, 1979) together with the biological macromolecule of interest is added to a glycerol/water mixture and rapidly frozen to a glassy platelet in a liquid-nitrogen-cooled copper mould. The data shown in Fig. 10 have been obtained from samples that had been prepared in this way.
(Kohgi6.1. Dynamic nuclear spin contrast
In a simple microscopic picture of dynamic nuclear polarization (DNP), the nuclear polarization develops near the paramagnetic centre through electron nuclear dipolar interaction decreasing with the third power of the distance between the electron and nuclear moments (solid effect). More distant bulk nuclei are polarized by dipolar interactions between nuclei (spin diffusion). Would there be a way to use the directly polarized close protons as a label in macromolecular structure research?
The formation of selectively polarized proton spin domains can best be observed at the onset of DNP. Time-resolved polarized neutron scattering from a solution of EHBA-CrV in a deuterated solvent showed that protons of the solute were polarized much more rapidly than those of the deuterated solvent (van den Brandt et al., 2002) (Fig. 11). Clearly, the low concentration of protons in the deuterated solvent reduces considerably proton-spin diffusion into the bulk. But, lowering the deuteration of the solvent stepwise to 80% led to a surprisingly modest decrease of the proton polarization gradient at the surface of the EHBA-CrV molecule (van den Brandt et al., 2006). Unfortunately, a further decrease of deuteration of the solvent renders the measurement of the coherent scattering intensity on an increasing background of very difficult. Time-resolved neutron scattering from radicals of larger size, which are presently analysed, seems to be more appropriate for the elucidation of the size and life-time of polarized proton domains in the absence of deuteration. From studies on tyrosine radicals of catalase, it appears that about four protons per radical are polarized in 5 s (Stuhrmann, 2004).
There is another method that may turn out to be useful for the characterization of polarized proton spin domains. The probability W of dynamic nuclear polarization by the solid effect (well resolved or not) (Abragam & Goldman, 1978) varies with the angle θ (Fig. 12).
From (12), it appears that those nuclear spins near a paramagnetic centre that happen to be close to an angle of θ = 45° with respect to the external magnetic field are more susceptible to DNP (Fig. 12). The anisotropy of the intensity distribution increases with the angle ɛ between the direction of the magnetic field at the sample and the neutron beam. Fig. 12 shows the anisotropic part of the scattering pattern at ɛ = 90°. Data of time-resolved neutron scattering from EHBA-CrV taken with ɛ = 7° confirm the very small predicted anisotropy of less than 0.001 (Stuhrmann, 2007). Experiments at larger ɛ, e.g. at ɛ = 40°, which would be perfectly feasible with the polarized target facility of the Paul-Scherrer Institut (PSI), would increase the effect by one to two orders of magnitude.
7. Outlook
Contrast variation is an expanding field of research, and there is continuing cross-fertilization between SAS and crystallography. To give an example, there are reasons to believe that further progress in the field of polarized neutron scattering from dynamically polarized nuclei will be facilitated by moving from SAS to crystallography. The most evident reason, at least for neutron protein crystallography, is the suppression of
from H atoms by high proton polarization.The build up of polarization domains in space and time can be studied in more detail in single crystals of macromolecules, also because the polarization-dependent intensity is relatively stronger in crystal diffraction than in solution scattering. Two main lines may be envisaged: (i) the determination of a spin-density map in dilute paramagnets, e.g. of radicals in polymers or biological macromolecules, at medium resolution, and (ii) the distinction between protons with different Larmor frequencies near chemically interesting radical sites at high resolution.
Another example is anomalous X-ray diffraction from native labels like sulfur and phosphorus in protein crystallography which is still in its infancy (Djinović Carugo et al., 2005). As the concentration of phosphorus in RNA/DNA is quite high, its anomalous contrast in X-ray scattering reaches half of that which could be obtained by substitution of 1H by 2H in neutron scattering. The foreseeable role of this technique is similar to that of neutron protein crystallography. Soft X-ray diffraction will be used in special cases, e.g. of phosphorus for the study of lipid–protein interaction (Biou et al., 2005), or for the RNA/DNA interaction with proteins in viruses and phages.
While high-performance neutron diffractometers for protein crystallography exist at all larger neutron scattering facilities, present technical developments for soft X-ray diffraction with synchrotron radiation will have to go on to meet the standards of modern protein crystallography (Biou et al., 2005).
Acknowledgements
The author is indebted to many colleagues who in the course of time helped him to perform a further step in contrast variation, too many to enumerate them all here. His special thanks go to Tapio Niinikoski (CERN, Geneva) and to Salvatore Mango (PSI, Villigen) who provided the polarized target facilities for polarized neutron scattering.
References
Abragam, A. & Goldman, M. (1978). Rep. Prog. Phys. 41, 395–467. CrossRef CAS Web of Science Google Scholar
Ban, N., Freeborn, B., Nissen, P., Penczek, P., Grassuci, R. A., Sweet, R., Frank, J., Moore, P. B. & Steitz, T. A. (1998). Cell, 93, 1105–1115. Web of Science CrossRef CAS PubMed Google Scholar
Bennet, W. S. Jr & Steitz, T. A. (1980). J. Mol. Biol. 140, 183–209. CrossRef PubMed Web of Science Google Scholar
Bentley, G. A., Finch, J. T. & Lewit-Bentley, A. (1981). J. Mol. Biol. 145, 771–784. CrossRef CAS PubMed Web of Science Google Scholar
Bentley, G. A., Lewit-Bentley, A., Liljas, L., Skoglund, U., Roth, M. & Unge, T. (1987). J. Mol. Biol. 194, 129–141. CrossRef CAS PubMed Web of Science Google Scholar
Biou, V., Bösecke, P., Bois, J.-M., Brandolin, G., Kahn, R., Mas, C., Nauton, L., Nury, H., Pebay-Peyroula, E., Vicat, J. & Stuhrmann, H. (2005). J. Synchrotron Rad. 12, 402–409. Web of Science CrossRef CAS IUCr Journals Google Scholar
Bragg, W. L. & Perutz, M. F. (1952). Proc. R Soc. London Ser. A, 213, 425–435. CrossRef CAS Web of Science Google Scholar
Brandt, B. van den, Glättli, H., Grillo, I., Hautle, P., Jouve, H., Kohlbrecher, J., Konter, J. A., Leymarie, E., Mango, S., May, R. P., Michels, A., Stuhrmann, H. B. & Zimmer, O. (2006). Eur. Phys. J. B49, 157–165. Google Scholar
Brandt, B. van den, Glättli, H., Grillo, I., Hautle, P., Jouve, H., Kohlbrecher, J., Konter, J. A., Leymarie, E., Mango, S., May, R. P., Stuhrmann, H. B. & Zimmer, O. (2002). Europhys. Lett. 59, 62–67. Web of Science CrossRef Google Scholar
Bricogne, G. (1993). Acta Cryst. D49, 37–60. CrossRef CAS Web of Science IUCr Journals Google Scholar
Capel, M. S., Engelman, D. M., Freeborn, B. R., Kjeldgard, M., Langer, J. A., Ramakrishnan, V., Schindler, D. G., Schneider, D. K., Schoenborn, B. P., Sillers, I.-Y., Yabuki, S. & Moore, P. B. (1988). Makromol. Chem. Macromol. Symp. 15, 123–130. CrossRef Web of Science Google Scholar
Chacon, P., Moran, F., Diaz, J. F., Pantos, E. & Andreu, J. M. (1998). Biophys. J. 74, 2760–2775. Web of Science CrossRef CAS PubMed Google Scholar
Crick, F. H. C. & Magdoff, B. S. (1956). Acta Cryst. 9, 901–908. CrossRef CAS IUCr Journals Web of Science Google Scholar
Davey, C. A., Sargent, D. F., Luger, K., Maeder, A. W. & Richmond, T. J. (2002). J. Mol. Biol. 319, 1097–1113. Web of Science CrossRef PubMed CAS Google Scholar
Davies, J. M., Tsuruta, H., May, A. P. & Weis, W. I. (2005). Structure (Camb.), 13, 183–195. Web of Science CrossRef PubMed CAS Google Scholar
Djinović Carugo, K., Helliwell, J. R., Stuhrmann, H. & Weiss, M. S. (2005). J. Synchroton Rad. 12, 410–419. Web of Science CrossRef Google Scholar
Engelman, D. M. & Moore, P. B. (1972). Proc. Natl Acad. Sci. USA, 69, 1997–1999. CrossRef CAS PubMed Web of Science Google Scholar
Finch, J. T. & Holmes, K. C. (1967). Methods in Virology, edited by K. Maramorosch & H. Koprowski, Vol. 3, pp. 351–474. New York: Academic Press. Google Scholar
Fourme, R., Shepard, W., Kahn, R., l'Hermite, G. & Li de La Sierra, I. (1995). J. Synchrotron Rad. 2, 36–48. CrossRef CAS Web of Science IUCr Journals Google Scholar
Glättli, H., Fermon, C. & Eisenkremer, M. (1989). J. Phys. 50, 2375–2388. CAS Google Scholar
Goerigk, G., Schweins, R., Huber, K. & Ballauf, M. (2004). Europhys. Lett. 66, 331–337. Web of Science CrossRef CAS Google Scholar
Hayter, J. B., Jenkin, G. T. & White, J. W. (1974). Phys. Rev. Lett. 33, 696–699. CrossRef CAS Web of Science Google Scholar
Heller, W. T., Abusamhadneh, E., Finley, N., Rosevaer, V. R. & Trewhella, J. (2002). Biochemistry, 41, 15654–15663. Web of Science CrossRef PubMed CAS Google Scholar
Henderson, R. & Unwin, P. N. T. (1975). Nature (London), 257, 28–31. CrossRef PubMed CAS Web of Science Google Scholar
Hendrickson, W. (1991). Science, 254, 51–58. CrossRef PubMed CAS Web of Science Google Scholar
Hjelm, R. P., Kneale, G. G., Suau, P., Baldwin, J. P., Bradbury, E. M. & Ibel, K. (1977). Cell, 10, 139–151. CrossRef CAS PubMed Web of Science Google Scholar
Hoppe, W. (1972). J. Mol. Biol. 78, 581–585. CrossRef Web of Science Google Scholar
Hough, M. A., Grossmann, J. G., Antonyuk, S. V., Strange, R. W., Doucette, P. A., Rodriguez, J. A., Whitson, L. J., Hart, P. J., Hayward, L. J., Valentine, J. S. & Hasnain, S. S. (2004). Proc. Natl Acad. Sci. USA, 101, 5976–5981. Web of Science CrossRef PubMed CAS Google Scholar
Ibel, K. & Stuhrmann, H. B. (1975). J. Mol. Biol. 93, 255–265. CrossRef PubMed CAS Web of Science Google Scholar
Jones, T. A. & Liljas, R. (1984). J. Mol. Biol. 177, 735–767. CrossRef CAS PubMed Web of Science Google Scholar
Kendrew, J. C., Dickerson, R. E., Strandberg, B. E., Hart, R. G., Davies, D. R., Phillips, D. C. & Shore, V. C. (1960). Nature (London), 185, 422–427. CrossRef PubMed CAS Web of Science Google Scholar
Kirste, R. G. & Stuhrmann, H. B. (1967). Z. Phys. Chem. Neue Folge, 56, 338–341. CrossRef CAS Web of Science Google Scholar
Knop, W., Hirai, M., Schink, H.-J., Stuhrmann, H. B., Wagner, R., Zhao, J., Schärpf, O., Crichton, R. R., Krumpolc, M., Nierhaus, K. H., Rijllart, A. & Niinikoski, T. O. (1992). J. Appl. Cryst. 25, 155–165. CrossRef CAS Web of Science IUCr Journals Google Scholar
Knop, W., Nierhaus, K. H, Novotny, V., Niinikoski, O., Krumpolc, M., Rieubland, J.-M., Rijllart, A., Schärpf, O., Schink, H. J., Stuhrmann, H. B. & Wagner, R. (1986). Helv. Phys. Acta, 59, 741–746. CAS Google Scholar
Kohgi, M., Ishida, M., Ishikawa, Y., Ishimoto, S., Kanno, Y., Masaike, A., Masuda, Y. & Morimoto, K. (1987). J. Phys. Soc. Jpn, 56, 2681–2688. CrossRef CAS Web of Science Google Scholar
König, S., Svergun, D. I., Volkov, V. V., Feigin, L. A. & Koch, M. H. J. (1998). Biochemistry, 37, 5329–5334. Web of Science PubMed Google Scholar
Krumpolc, M. & Rožek, J. (1979). J. Am. Chem. Soc. 101, 3206–3209. CrossRef CAS Web of Science Google Scholar
Kühnholz, O. (1991). J. Appl. Cryst. 24, 811–814. CrossRef Web of Science IUCr Journals Google Scholar
Leslie, M., Jenkin, G. T., Hayter, J. B., White, J. W., Cox, S. & Warner, G. (1980). Philos. Trans. R. Soc. London Ser. B, 290, 497–503. CrossRef CAS Web of Science Google Scholar
Macheroux, P., Schönbrunn, E., Svergun, D. I., Volkov, V. V., Koch, M. H. J., Bornemann, S. & Thorneley, R. N. F. (1998). Biochem. J. 335, 319–327. Web of Science CrossRef CAS PubMed Google Scholar
O'Halloran, T. V., Lippard, S. J., Richmond, J. T. & Klug, A. (1987). J. Mol. Biol. 194, 705–712. CSD CrossRef CAS PubMed Web of Science Google Scholar
Ramin, M., Shepard, W., Fourme, R. & Kahn, R. (1999). Acta Cryst. D55, 157–167. Web of Science CrossRef CAS IUCr Journals Google Scholar
Seiff, F., Wallat, I., Ermann, P. & Heyn, M. P. (1985). Proc. Natl Acad. Sci. USA, 82, 3227–3231. CrossRef CAS PubMed Web of Science Google Scholar
Serdyuk, I. N. & Grenader, A. K. (1974). FEBS Lett. 59, 133–136. CrossRef Web of Science Google Scholar
Serdyuk, I. N. & Pavlov, M. Y. (1988). Makromol. Chem. Macromol. Symp. 15, 167–184. CrossRef Web of Science Google Scholar
Serdyuk, I. N. & Zaccai, G. (1996). J. Mol. Struct. 383, 197–200. CrossRef CAS Web of Science Google Scholar
Shi, Y. Y., Hong, X. G. & Wang, C. C. (2005). J. Biol. Chem. 280, 22761–22768. Web of Science CrossRef PubMed CAS Google Scholar
Simon, J.-P. (2007). J. Appl. Cryst. 40, s1–s9. Web of Science CrossRef CAS IUCr Journals Google Scholar
Stöffler, G., Redl, B., Walleczek, J. & Stöffler-Meilicke, M. (1988). Methods Enzymol. 164, 64–76. PubMed Web of Science Google Scholar
Stuhrmann, H. B. (1970a). Acta Cryst. A26, 297–306. CrossRef IUCr Journals Web of Science Google Scholar
Stuhrmann, H. B. (1970b). Z. Phys. Chem. (Frankfurt am Main), 72, 177–184. CrossRef CAS Web of Science Google Scholar
Stuhrmann, H. B. (1970c). Z. Phys. Chem. (Frankfurt am Main), 72, 185–198. CrossRef CAS Web of Science Google Scholar
Stuhrmann, H. B. (2004). Rep. Prog. Phys. 67, 1073–1115. Web of Science CrossRef CAS Google Scholar
Stuhrmann, H. B. (2007). Acta Cryst. A63, 455–464. Web of Science CrossRef CAS IUCr Journals Google Scholar
Stuhrmann, H. B. & Kirste, R. (1965). Z. Phys. Chem. (Frankfurt am Main), 46, 247–250. CrossRef CAS Web of Science Google Scholar
Stuhrmann, H. B., Koch, M. H. J., Parfait, R., Haas, J., Ibel, K. & Crichton, R. R. (1978). J. Mol. Biol. 119, 203–212. CrossRef CAS PubMed Web of Science Google Scholar
Stuhrmann, S., Bartels, K. S., Braunwarth, W., Doose, R., Dauvergne, F., Gabriel, A., Knöchel, A., Marmotti, M., Stuhrmann, H. B., Trame, C. & Lehmann, M. S. (1997). J. Synchrotron Rad. 4, 298–310. CrossRef CAS Web of Science IUCr Journals Google Scholar
Svergun, D. I. (1997). J. Appl. Cryst. 30, 792–797. Web of Science CrossRef CAS IUCr Journals Google Scholar
Svergun, D. I. (1999). Biophys. J. 76, 2879–2886. Web of Science CrossRef PubMed CAS Google Scholar
Svergun, D. I. (2007). J. Appl. Cryst. 40, s10–s17. Web of Science CrossRef CAS IUCr Journals Google Scholar
Svergun, D. I. & Stuhrmann, H. B. (1991). Acta Cryst. A47, 736–744. CrossRef Web of Science IUCr Journals Google Scholar
Svergun, D. I., Volkov, V. V., Kozin, M. B. & Stuhrmann, H. B. (1996). Acta Cryst. A52, 419–426. CrossRef CAS Web of Science IUCr Journals Google Scholar
Svergun, D. I., Petoukhov, M. V. & Koch, M. H. J. (2001). Biophys. J. 80, 2946–2953. Web of Science CrossRef PubMed CAS Google Scholar
Vachette, P. & Svergun, D. (2000). Structure and Dynamics of Biomolecules, HERCULES, Vol. IV, edited by E. Fanchon, E. Geissler, J.-L. Hodeau, J.-R. Regnard & P. A. Timmins, pp. 199–237. Oxford University Press. Google Scholar
Volkov, V. V. & Svergun, D. I. (2003). J. Appl. Cryst. 36, 860–864. Web of Science CrossRef CAS IUCr Journals Google Scholar
Walther, D., Cohen, F. E. & Doniach, S. (2000). J. Appl. Cryst. 33, 350–363. Web of Science CrossRef CAS IUCr Journals Google Scholar
Wang, J., Smerdon, S. J., Jaeger, J., Kohlstaedt, J. A., Friedman, J., Rice, P. A. & Steitz, T. A. (1994). Proc. Natl Acad. Sci. USA, 91, 7242–7246. CrossRef CAS PubMed Web of Science Google Scholar
Willumeit, R., Diedrich, G., Forthmann, S., Beckmann, J., Stuhrmann, H. B. & Nierhaus, K. H. (2001). Biochim. Biophys. Acta, 1520, 7–20. Web of Science CrossRef PubMed CAS Google Scholar
Wimberly, B. T., Brodersen, D. E., Clemons, W. M., Morgan-Warren, R. J., Carter, A. P., Vonrhein, C., Hartsch, Th. & Ramakrishnan, V. (2000). Nature (London), 407, 327–339. Web of Science CrossRef PubMed CAS Google Scholar
Worcester, D. L. (1975). Brookhaven Symposium on Neutrons in Biology, Vol. III, pp. 37–57. Google Scholar
Zaccai, G. & Gilmore, D. J. (1979). J. Mol. Biol. 132, 181–191. CrossRef CAS PubMed Web of Science Google Scholar
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