학술논문

A round‐robin approach provides a detailed assessment of biomolecular small‐angle scattering data reproducibility and yields consensus curves for benchmarking
Document Type
article
Source
Acta Crystallographica Section D, Structural Biology. 78(11)
Subject
Biochemistry and Cell Biology
Physical Sciences
Biological Sciences
Bioengineering
Scattering
Small Angle
X-Ray Diffraction
Benchmarking
Consensus
Reproducibility of Results
Proteins
Solvents
X-ray scattering
benchmarking standards
biomolecular small-angle scattering
neutron scattering
scattering-profile calculation
standards
Chemical Sciences
Biophysics
Biological sciences
Chemical sciences
Physical sciences
Language
Abstract
Through an expansive international effort that involved data collection on 12 small-angle X-ray scattering (SAXS) and four small-angle neutron scattering (SANS) instruments, 171 SAXS and 76 SANS measurements for five proteins (ribonuclease A, lysozyme, xylanase, urate oxidase and xylose isomerase) were acquired. From these data, the solvent-subtracted protein scattering profiles were shown to be reproducible, with the caveat that an additive constant adjustment was required to account for small errors in solvent subtraction. Further, the major features of the obtained consensus SAXS data over the q measurement range 0-1 Å-1 are consistent with theoretical prediction. The inherently lower statistical precision for SANS limited the reliably measured q-range to 2.2 Å-1 showed good mutual agreement, affirming that this region has interpretable features for structural modelling. SAS measurements with inline size-exclusion chromatography (SEC) proved to be generally superior for eliminating sample heterogeneity, but with unavoidable sample dilution during column elution, while batch SAS data collected at higher concentrations and for longer times provided superior statistical precision. Careful merging of data measured using inline SEC and batch modes, or low- and high-concentration data from batch measurements, was successful in eliminating small amounts of aggregate or interparticle interference from the scattering while providing improved statistical precision overall for the benchmarking data set.