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Adaptable SEC-SAXS Data Collection for Higher Quality Structure Analysis in Solution

Overview
Journal Protein Sci
Specialty Biochemistry
Date 2024 Mar 19
PMID 38501481
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Abstract

The two major challenges in synchrotron size-exclusion chromatography coupled in-line with small-angle x-ray scattering (SEC-SAXS) experiments are the overlapping peaks in the elution profile and the fouling of radiation-damaged materials on the walls of the sample cell. In recent years, many post-experimental analyses techniques have been developed and applied to extract scattering profiles from these problematic SEC-SAXS data. Here, we present three modes of data collection at the BioSAXS Beamline 4-2 of the Stanford Synchrotron Radiation Lightsource (SSRL BL4-2). The first mode, the High-Resolution mode, enables SEC-SAXS data collection with excellent sample separation and virtually no additional peak broadening from the UHPLC UV detector to the x-ray position by taking advantage of the low system dispersion of the UHPLC. The small bed volume of the analytical SEC column minimizes sample dilution in the column and facilitates data collection at higher sample concentrations with excellent sample economy equal to or even less than that of the conventional equilibrium SAXS method. Radiation damage problems during SEC-SAXS data collection are evaded by additional cleaning of the sample cell after buffer data collection and avoidance of unnecessary exposures through the use of the x-ray shutter control options, allowing sample data collection with a clean sample cell. Therefore, accurate background subtraction can be performed at a level equivalent to the conventional equilibrium SAXS method without requiring baseline correction, thereby leading to more reliable downstream structural analysis and quicker access to new science. The two other data collection modes, the High-Throughput mode and the Co-Flow mode, add agility to the planning and execution of experiments to efficiently achieve the user's scientific objectives at the SSRL BL4-2.

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References
1.
Cogan D, Li X, Sevillano N, Mathews I, Matsui T, Craik C . Antibody Probes of Module 1 of the 6-Deoxyerythronolide B Synthase Reveal an Extended Conformation During Ketoreduction. J Am Chem Soc. 2020; 142(35):14933-14939. PMC: 7484051. DOI: 10.1021/jacs.0c05133. View

2.
Brooks-Bartlett J, Batters R, Bury C, Lowe E, Ginn H, Round A . Development of tools to automate quantitative analysis of radiation damage in SAXS experiments. J Synchrotron Radiat. 2016; 24(Pt 1):63-72. PMC: 5182020. DOI: 10.1107/S1600577516015083. View

3.
Meisburger S, Taylor A, Khan C, Zhang S, Fitzpatrick P, Ando N . Domain Movements upon Activation of Phenylalanine Hydroxylase Characterized by Crystallography and Chromatography-Coupled Small-Angle X-ray Scattering. J Am Chem Soc. 2016; 138(20):6506-16. PMC: 4896396. DOI: 10.1021/jacs.6b01563. View

4.
Meisburger S, Xu D, Ando N . : a general method to deconvolve X-ray scattering data from evolving mixtures. IUCrJ. 2021; 8(Pt 2):225-237. PMC: 7924237. DOI: 10.1107/S2052252521000555. View

5.
Yonezawa K, Takahashi M, Yatabe K, Nagatani Y, Shimizu N . MOLASS: Software for automatic processing of matrix data obtained from small-angle X-ray scattering and UV-visible spectroscopy combined with size-exclusion chromatography. Biophys Physicobiol. 2023; 20(1):e200001. PMC: 10203098. DOI: 10.2142/biophysico.bppb-v20.0001. View