Abstract
Modern small-angle scattering (SAS) experiments with X-rays or neutrons provide a comprehensive, resolution-limited observation of the thermodynamic state. However, methods for evaluating mass and validating SAS-based models and resolution have been inadequate. Here we define the volume of correlation, Vc, a SAS invariant derived from the scattered intensities that is specific to the structural state of the particle, but independent of concentration and the requirements of a compact, folded particle. We show that Vc defines a ratio, QR, that determines the molecular mass of proteins or RNA ranging from 10 to 1,000 kilodaltons. Furthermore, we propose a statistically robust method for assessing model-data agreements (χ2free) akin to cross-validation. Our approach prevents over-fitting of the SAS data and can be used with a newly defined metric, RSAS, for quantitative evaluation of resolution. Together, these metrics (Vc, QR, χ2free and RSAS) provide analytical tools for unbiased and accurate macromolecular structural characterizations in solution.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Harrison, S. C. Comments on the NIGMS PSI. Structure 15, 1344–1346 (2007)
Hura, G. L. et al. Robust, high-throughput solution structural analyses by small angle X-ray scattering (SAXS). Nature Methods 6, 606–612 (2009)
Rambo, R. P. & Tainer, J. A. Bridging the solution divide: comprehensive structural analyses of dynamic RNA, DNA, and protein assemblies by small-angle X-ray scattering. Curr. Opin. Struct. Biol. 20, 128–137 (2010)
Sosnick, T. R. & Woodson, S. A. New era of molecular structure and dynamics from solution scattering experiments. Biopolymers 95, 503–504 (2011)
Glatter, O. & Kratky, O. Small Angle X-Ray Scattering (Academic, 1982)
Putnam, C. D., Hammel, M., Hura, G. L. & Tainer, J. A. X-ray solution scattering (SAXS) combined with crystallography and computation: defining accurate macromolecular structures, conformations and assemblies in solution. Q. Rev. Biophys. 40, 191–285 (2007)
Jacques, D. A. & Trewhella, J. Small-angle scattering for structural biology—expanding the frontier while avoiding the pitfalls. Protein Sci. 19, 642–657 (2010)
Bai, Y., Das, R., Millett, I. S., Herschlag, D. & Doniach, S. Probing counterion modulated repulsion and attraction between nucleic acid duplexes in solution. Proc. Natl Acad. Sci. USA 102, 1035–1040 (2005)
Moore, P. Small-angle scattering. Information content and error analysis. J. Appl. Crystallogr. 13, 168–175 (1980)
Rambo, R. P. & Tainer, J. A. Improving small-angle X-ray scattering data for structural analyses of the RNA world. RNA 16, 638–646 (2010)
Nishimura, N. et al. Structural mechanism of abscisic acid binding and signaling by dimeric PYR1. Science 326, 1373–1379 (2009)
Santiago, J. et al. Modulation of drought resistance by the abscisic acid receptor PYL5 through inhibition of clade A PP2Cs. Plant J. 60, 575–588 (2009)
Stoddard, C. D. et al. Free state conformational sampling of the SAM-I riboswitch aptamer domain. Structure 18, 787–797 (2010)
Hammond, J. A., Rambo, R. P. & Kieft, J. S. Multi-domain packing in the aminoacylatable 3′ end of a plant viral RNA. J. Mol. Biol. 399, 450–463 (2010)
Orthaber, D., Bergmann, A. & Glatter, O. SAXS experiments on absolute scale with Kratky systems using water as a secondary standard. J. Appl. Crystallogr. 33, 218–225 (2000)
Mylonas, E. & Svergun, D. I. Accuracy of molecular mass determination of proteins in solution by small-angle X-ray scattering. J. Appl. Crystallogr. 40, s245–s249 (2007)
Fischer, H., de Oliveira Neto, M., Napolitano, H. B., Polikarpov, I. & Craievich, A. F. Determination of the molecular weight of proteins in solution from a single small-angle X-ray scattering measurement on a relative scale. J. Appl. Crystallogr. 43, 101–109 (2010)
Rambo, R. P. & Tainer, J. A. Characterizing flexible and intrinsically unstructured biological macromolecules by SAS using the Porod-Debye law. Biopolymers 95, 559–571 (2011)
Berman, H. M. et al. The Protein Data Bank. Nucleic Acids Res. 28, 235–242 (2000)
Wyatt, P. J. Light scattering and the absolute characterization of macromolecules. Anal. Chim. Acta 272, 1–40 (1993)
Svergun, D., Barberato, C. & Koch, M. H. J. CRYSOL – a program to evaluate X-ray solution scattering of biological macromolecules from atomic coordinates. J. Appl. Crystallogr. 28, 768–773 (1995)
Schneidman-Duhovny, D., Hammel, M. & Sali, A. FoXS: a web server for rapid computation and fitting of SAXS profiles. Nucleic Acids Res. 38, W540–W544 (2010)
Brünger, A. T. Free R value: a novel statistical quantity for assessing the accuracy of crystal structures. Nature 355, 472–475 (1992)
Brünger, A. T., Clore, G. M., Gronenborn, A. M., Saffrich, R. & Nilges, M. Assessing the quality of solution nuclear magnetic resonance structures by complete cross-validation. Science 261, 328–331 (1993)
Rousseeuw, P. J. & Leroy, A. M. Robust Regression and Outlier Detection (Wiley, 1987)
Jie, Y., Qi, T., Amores, J. & Sebe, N. Toward Robust Distance Metric Analysis for Similarity Estimation (IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006)
Karplus, P. A. & Diederichs, K. Linking crystallographic model and data quality. Science 336, 1030–1033 (2012)
Brünger, A. T. et al. Crystallography & NMR system: a new software suite for macromolecular structure determination. Acta Crystallogr. D 54, 905–921 (1998)
de Groot, B. L. et al. Prediction of protein conformational freedom from distance constraints. Proteins 29, 240–251 (1997)
Rambo, R. P. & Doudna, J. A. Assembly of an active group II intron–maturase complex by protein dimerization. Biochemistry 43, 6486–6497 (2004)
Keel, A. Y., Jha, B. K. & Kieft, J. S. Structural architecture of an RNA that competitively inhibits RNase L. RNA 18, 88–89 (2012)
Fulle, S. & Gohlke, H. Analyzing the flexibility of RNA structures by constraint counting. Biophys. J. 94, 4202–4219 (2008)
Acknowledgements
We thank G. L. Hura, M. Hammel, R. T. Batey, J. Tanamachi and the staff of SIBYLS Beamline 12.3.1 at the Advanced Light Source for discussions and P. Adams for suggestions regarding simulations with CNS. We thank E. Rambo, G. Williams and E. D. Getzoff for manuscript comments. This work is supported in part by funding to foster collaboration with Bruker and the Berkeley Laboratory Directed Research and Development (LDRD) program provided by the Director, Office of Science, US Department of Energy on Novel Technology for Structural Biology. The SIBYLS Beamline 12.3.1 facility and team at the Advanced Light Source is supported by United States Department of Energy program Integrated Diffraction Analysis Technologies (DEAC02-05CH11231) and by National Institutes of Health grant R01GM105404.
Author information
Authors and Affiliations
Contributions
R.P.R. developed the theory and computational algorithms with input from J.A.T. Both J.A.T. and R.P.R. designed the experiments and wrote the paper.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Supplementary information
Supplementary information
This file contains Supplementary Text and Data, Supplementary Figures 1-11, Supplementary Tables 1-2 and Supplementary References. (PDF 2840 kb)
Rights and permissions
About this article
Cite this article
Rambo, R., Tainer, J. Accurate assessment of mass, models and resolution by small-angle scattering. Nature 496, 477–481 (2013). https://doi.org/10.1038/nature12070
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/nature12070