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Macromolecular Small-Angle Scattering with Synchrotron
Radiation
Tom Irving
BioCAT, Dept. BCPS and CSRRI
Illinois Institute of Technology
Scope of Lecture
• Why do SAXS?
• Physical Principles
• Experimental methods
• Data interpretation
• Advantages of Third Generation Synchrotrons for SAXS
• References for learning more
What is SAXS?
• Small Angle X-ray Scattering• Scattering proportional to /Molecular size• Typical x-ray wavelengths ~ 0.1 nm• Typical molecular dimensions 1 -100 nm• Scattering angles are small• 0-2o historically. • Now 0-15o range is of increasing experimental interest
Why SAXS ?
• Atomic level structures from crystallography or NMR “gold standard” for structural inferences
• Crystallography, by definition, studies static structures
• Most things crystallize only under rather specific, artificial conditions
• Kinetics of molecular interactions frequently of interest
• SAXS can provide useful, although limited, information on relatively fast time scales
What is SAXS Used for?
• Estimating sizes of particulates• Interactions in fluids• Sizes of micelles etc in emulsions• Size distributions of subcomponents in
materials • Structure and dynamics of biological
macromolecules
SAXS and Biological Macro-molecules
• How well does the crystal structure represents the native structure in solution?
• Can we get even some structural information from large proportion of macro-molecules that do not crystallize?
• How can we test hypotheses concerning large scale structural changes on ligand binding etc. in solution
• SAXS can frequently provide enough information for such studies
• May even be possible to deduce protein fold solely from SAXS data
Scattering from MoleculesMolecules are much larger than the wavelength (~0.1 nm) used => scattered photons will differ in phase from different parts of moleculeObserved intensity spherically averaged due to molecular tumbling
e-
e-
e-
e-
e-
e-
Constructive interference
destructive interference
Intensity in SAXS Experiments: • Sum over all scatterers (electrons) in molecule to get structure
factor (in units of scattering 1 electron)
F(q) = i e i q • ri
• Intensity is square (complex conjugate) of structure factor
I(q) = F F* = ji e iq • ri,j • Isotropic, so spherical average ( is rotation angle relative to q)
I(q) = ji e I q • ri,j sin d
• Debye Eq.
<I>(q) = ij sin q ri,j/ q ri,j
where q = 4sin /
In Scattering Experiments, Particles are Randomly Oriented
• Intensity is spherically averaged
• Phase information lost
• Low information content fundamental difficulty with SAXS
• Only a few, but frequently very useful, structural parameters can be unambiguously obtained.
Structural Parameters Obtainable from SAXS
• Molecular weight*
• Molecular volume*
• Radius of gyration (Rg)
• Distance distribution function p( r )
• Various derived parameters such as longest cord from p ( r )
• * requires absolute intensity information
Experimental Geometry
200 cm
30 cm
“long camera ~1o
short camera ~ 15o
Detector
Samplein 1 mm capillary
Collimated X-ray beam
Backstop
The data:Shadow of lead beam stop
2-D data needs to be radially integrated to produce 1-D plots of intensity vs q
Scattering Curves From Cytochrome C
q nm-1
ln I
Red line = sample +buffer
Blue = buffer only
Black = difference
I
What does this look like for a typical protein ?
0 2 4 6 8 10 12 14 16 18
100
1000
10000
I
q (nm-1)
Since a Fourier transform, inverse relationship:
Large features at small q
Small features at large q
Globular size
2o structure
Domain folds
What’s Rg?
• Analogous to moment of inertia in mechanics
• Rg2 = p(r) r2 dV
p(r) dV
Rg for representative shapes
• Sphere
Rg2 = 3/5r2
• Hollow sphere (r1 and r2 inner and outer radii)
Rg2 = 3/5 (r25-r15)/(r23-r13)
• Ellipsoid (semi-axis a, b,c)
Rg2 = (a2+b2+c2)/5
Estimating Molecular Size from SAXS Data
<I>() = ij sin q ri,j/ qri,j
Taylor series expansion
= 1 - (qrij )2/6 + (qrij )4/120 ….Guinier approximation:
e-q2Rg2/3 = 1 – q2Rg2/3 + (q2Rg
2 /3 )2/2! …
Equate first two terms
1 - (qrij )2/6 = 1 – q2Rg2 3
Or
ln I/I0 = q2Rg2/3
Guinier Plot
Plot ln I vs. q2
Inner part will be a straight line
Slope proportional to Rg2
– Only valid near q = 0 (i.e. where third term is insignificant)
– For spherical objects, Gunier approximation holds even in the third term… so the Guinier region is larger for more globular proteins
– Usual limit: Rg qmax <1.3
Configuration Changes in Plasminogen
EACA
Bz
Pg Rg
PBS 30.6
+EACA 49.1
+Benzamidine 37.1
Guinier Fits
1.00E+02
1.00E+03
1.00E+04
0.00E+00
1.00E-02
2.00E-02
3.00E-02
4.00E-02
5.00E-02
6.00E-02
7.00E-02
8.00E-02
9.00E-02
1.00E-01
blank
eaca
Benz
Plasminogen data courtesy N. Menhart IIT
Need for Series of Concentrations
• SAXS intensity equations valid only at infinite dilution
• Excess density of protein over H2O very low• Need a non-negligible concentration ( > 1 mg/ml) to
get enough signal.• In practice use a concentration series from ~ 3 - 30
mg/ml and extrapolate to zero by various means• Only affects low angle regime• Can use much higher concentrations for high angle
region (where scattering weak anyway)
Effect of Concentration
Correcting for Concentration
Shape information
• SAXS patterns have relatively low information content
• Sources of information loss:– Spherical averaging– X-ray phase loss, so can’t invert Fourier
transform• In general cannot recover full shape, but can
unambiguously compute distribution of distance s within molecule: i.e. p(r) function
p(r)• Distribution of distances of atoms
from centroid• Autocorrelation function of the
electron density• 1-D: Only distance, not direction
– No phase information– Can be determined
unambiguously from SAXS pattern if collected over wide enough range
– 20:1 ratio qmin :qmax usually ok
e-
e-
e-
e-
e-
Relation of p( r ) to Intensity
I(q) = 4 0D p( r )sinqr dr
Relationship of shape to p(r)
• Fourier transform pairp(r) I(q)
shapeCan unambiguously calculate p( r ) from a given shape but converse not true
Inversion intensity equation not trivial
• Need to worry about termination effects, experimental noise and various smearing effects
• Inversion of intensity equation requires use of various “regularization approaches”
• One popular approach implemented in program GNOM (Svergun et al. J. Appl. Cryst. 25:495)
Example of p(r ) Analysis
Troponin C structure• Does p(r) make sense?
Scattering Pattern from Troponin C
q nm -1
I
Troponin C: Bimodal Distribution
0 20 40 60 80
spurious water peak @ 3 A
41 A15 A
r (A)
Hypothesis Testing with SAXS
• p (r ) gives an alternative measure of Rg and also “longest cord”
• Predict Rg and p( r ) from native crystal structure (tools exist for pdb data) and from computer generated hypothetical structures under conditions of interest
• Are the hypothesized structures consistent with SAXS data?
SAXS Data Alone Cannot Yield an Unambiguous Structure
• One can combine Rg and P( r ) information with:Simulations based on other knowledge (i.e. partial
structures by NMR or X-ray)Or Whole pattern simulations using various physical
criteria:– Positive e density, – finite extent, – Connectivity– chemically meaningful density distributions
Reconstruction of Molecular Envelopes
• Very active area of research• 3 main approaches:• Spherical harmonic-based algorithms (Svergun, &
Stuhrmann,1991, Acta Crystallogr. A47, 736), genetic algorithms (Chacon et al, 1998, Biophys. J. 74, 2760), simulated annealing (Svergun,1999Biophys. J. 76, 2879), and “give ‘n take” algorithms (Walter et al, 2000, J. Appl. Cryst 33, 350).
• Latter three make use of “Dummy atom approach” using the Debye formula.
Configuration Changes in Plasminogen
EACA
Bz
Pg Rg
PBS 30.6
+EACA 49.1
+Benzamidine 37.1
Guinier Fits
1.00E+02
1.00E+03
1.00E+04
0.00E+00
1.00E-02
2.00E-02
3.00E-02
4.00E-02
5.00E-02
6.00E-02
7.00E-02
8.00E-02
9.00E-02
1.00E-01
blank
eaca
Benz
Plasminogen data courtesy N. Menhart IIT
Pg Complete Scattering curves
0 2 4 6 8 10 12 14 16 18 20
100
1000
10000
I
q (nm)
unliganded Bz EACA
-1
+EACA +BNZ+BNZ
2Å
2Å
Shape Reconstruction using SAXS3D *:
* D. Walther et. al., UCSF
Technical Requirements for SAXS
• Monodispersed sample (usually)• Very stable, very well collimated beam• Very mechanically stable apparatus• Methods to assess and control radiation damage and
radiation induced aggregation (flow techniques)• Ability to accurately measure and correct for variations in
incident and transmitted beam intensity• High dynamic range, high sensitivity and low noise
detector
Detectors For SAXS
• 1-D or 2 D position sensitive gas proportional counters– Pros: High dynamic range, zero read noise– Cons: limited count rate capability typically 105 - 106
cps, 1-D detectors very inefficient high q range
• 2D CCD detectors– Pros: integrating detectors - no intrinsic count rate limit,
2-D so can efficiently collect high q data– Cons: Significant read noise, finite dynamic range– Most commercial detectors designed for crystallography
too high read noise
SAXS at Third Generation Synchrotron Sources
The Advanced Photon Source
The APS is Optimized for Producing Undulator Radiation
Why is APS Undulator Radiation Good for Biological Studies?
• Wide energy range available for spectroscopy
• High flux for time resolved applications
• Very low beam divergence for high quality diffraction/scattering patterns
• Can focus to very small beams to examine small samples or regions within samples
What is BioCAT?
• A NIH-supported research center for the study of partially ordered and disordered biological materials
• Supported techniques are X-ray Spectroscopy (XAS and high resolution), powder diffraction, fiber diffraction, and SAXS
• Comprises an undulator based beamline, (18-ID) associated laboratory and computational facilities.
• Available to all scientists on basis of peer-reviewed beamtime proposals
BioCAT
A NIH Supported Research Center
The BioCAT Sector at the APS
SAXS Instrument on the BioCAT 18ID - Undulator Beamline
0 m52.6 m 56 m63 m68 m
Collimator Slits
Monochromator:
Source size(FWHM) anddivergence:597 x 28µm16 x 3µrad
Working beam size
145 x 40 µm0.19 x 0.16 rad
and divergence:
µ
Mirror,verticallyfocusing
Beam Stop
CCD
Sampleflowcell
Undulator18ID
Si (111) or (400),horizontallyfocusing
Slow and FastShutters
Al-filters
Guard Slits
Scatteringchamber250 - 5000 mm
Si (111) or (400),flat
BeamMonitor
BioCAT PERFORMANCE FOR SAXS
• 3 m camera can access a range of q from ~0.04 to 1.3 nm-1 • 0.3 m camera accesses range of q from ~0.8 to 20.0 nm-1 • 55 x 88 mm high sensitivity CCD detector can detect
single photons• Useful SAXS patterns can be collected from 5 mg./ml
cytochrome c in 300 ms => can do time resolved experiments on ms time scales or less
Why Do You Need a Third Generation Source for SAXS?
• Time resolved protein folding studies using SAXS
=> The “Protein Folding Problem”
• High throughout molecular envelope determinations using SAXS
=> “Structural genomics”
Radius of gyration (Rg) obtained fromGuinier analysis as a function ofdenaturant concentration. Black squaresdenote equilibrium data and red circlesindicate values obtained ~1 msec afterinitiation of refolding at different GdmClconcentrations.
Time-resolved Stopped-flow ExperimentTime-resolve Stopped Flow Experiment
For further reading…..• A Guinier “X-ray Diffraction in Crsytals, Imperfect
Crystals and Amorphous Bodies” Freeman, 1963• C. Cantor and P. Schimmel “Biophysical Chemistry
part II: Techniques for the study of Biological Strcutre and Function” Freeman, 1980
• O. Glatter and O. Kratky “Small-angle X-ray Scattering” Academic Press 1982
• See Dmitri Svergun’s web site at http://www.embl-hamburg.de/Externalinfo/Research/Sax