X-ray Photon Correlation Spectroscopy of Protein Dynamics at Nearly Diffraction-limited Storage Rings
Overview
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This study explores the possibility of measuring the dynamics of proteins in solution using X-ray photon correlation spectroscopy (XPCS) at nearly diffraction-limited storage rings (DLSRs). We calculate the signal-to-noise ratio (SNR) of XPCS experiments from a concentrated lysozyme solution at the length scale of the hydrodynamic radius of the protein molecule. We take into account limitations given by the critical X-ray dose and find expressions for the SNR as a function of beam size, sample-to-detector distance and photon energy. Specifically, we show that the combined increase in coherent flux and coherence lengths at the DLSR PETRA IV yields an increase in SNR of more than one order of magnitude. The resulting SNR values indicate that XPCS experiments of biological macromolecules on nanometre length scales will become feasible with the advent of a new generation of synchrotron sources. Our findings provide valuable input for the design and construction of future XPCS beamlines at DLSRs.
Silva C, Picco A, Galdino F, de Burgos Martins de Azevedo M, Cathcarth M, Passos A Nano Lett. 2024; 24(42):13293-13299.
PMID: 39361530 PMC: 11505373. DOI: 10.1021/acs.nanolett.4c03662.
Transport coefficient approach for characterizing nonequilibrium dynamics in soft matter.
He H, Liang H, Chu M, Jiang Z, de Pablo J, Tirrell M Proc Natl Acad Sci U S A. 2024; 121(31):e2401162121.
PMID: 39042671 PMC: 11295068. DOI: 10.1073/pnas.2401162121.
Improvement of ultra-small-angle XPCS with the Extremely Brilliant Source.
Chevremont W, Zinn T, Narayanan T J Synchrotron Radiat. 2023; 31(Pt 1):65-76.
PMID: 37933847 PMC: 10833426. DOI: 10.1107/S1600577523008627.
Anthuparambil N, Girelli A, Timmermann S, Kowalski M, Akhundzadeh M, Retzbach S Nat Commun. 2023; 14(1):5580.
PMID: 37696830 PMC: 10495384. DOI: 10.1038/s41467-023-41202-z.
X-ray driven and intrinsic dynamics in protein gels.
Timmermann S, Anthuparambil N, Girelli A, Begam N, Kowalski M, Retzbach S Sci Rep. 2023; 13(1):11048.
PMID: 37422480 PMC: 10329714. DOI: 10.1038/s41598-023-38059-z.