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Advancing High-Resolution Imaging of Virus Assemblies in Liquid and Ice

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Diffraction data from aerosolized Coliphage PR772 virus particles imaged with the Linac Coherent Light Source.

Haoyuan Li^1,2, Reza Nazari³, Brian Abbey⁴

¹SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California, 94025, USA.

Scientific Data

|November 20, 2020

Summary

This summary is machine-generated.

This study presents a large dataset of diffraction patterns from aerosolized Coliphage PR772 virus particles using intense X-ray pulses. This data advances single particle imaging for structural biology without crystallization.

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Area of Science:

Structural Biology
Biophysics
X-ray Science

Background:

Single Particle Imaging (SPI) offers a method for determining molecular structures without crystallization.
X-ray free-electron lasers (XFELs) provide intense, coherent X-ray pulses necessary for SPI.
Aerosolized particles in the gas phase present unique challenges and opportunities for structural analysis.

Purpose of the Study:

To present a comprehensive dataset of diffraction patterns from aerosolized Coliphage PR772 virus particles.
To provide data for improving experimental parameters in X-ray free-electron laser experiments.
To establish a foundation for developing new algorithms for single particle imaging analysis and reconstruction.

Main Methods:

Utilized single particle imaging (SPI) with femtosecond X-ray pulses from the Linac Coherent Light Source (LCLS).
Collected 285,944 diffraction patterns from aerosolized Coliphage PR772 virus particles.
Conducted experiments at the Atomic, Molecular and Optical Science Instrument (AMO) over four years with photon energies of 1.2 or 1.7 keV.

Main Results:

Acquired a large dataset of diffraction patterns from virus particles in random orientations in the gas phase.
Captured diffraction data using X-ray laser pulses with energies between 2 and 4 mJ.
The dataset includes additional exposures with background information for comprehensive analysis.

Conclusions:

The presented dataset is valuable for understanding aerosolized virus particles.
The data can inform the optimization of experimental conditions for XFEL-based SPI.
This resource will aid in the development of advanced computational methods for structural determination.