Raster-scanning serial protein crystallography using micro- and nano-focused synchrotron beams

Area of Science:

• Structural Biology
• Crystallography
• Biophysics

Background:

• Obtaining high-resolution structural data from micro-sized protein crystals presents significant challenges.
• Traditional methods often require larger crystals or specific experimental conditions, limiting sample utility.

Purpose of the Study:

• To demonstrate the feasibility of room-temperature raster-scanning serial micro- and nano-protein crystallography.
• To validate this technique as an effective alternative for high-resolution structural determination from microcrystals.

Main Methods:

• Utilized raster-scanning serial crystallography on micro- and nano-focused synchrotron beamlines.
• Employed silicon nitride wafers to encapsulate microcrystals (lysozyme) for room-temperature data collection.
• Developed and utilized new Python-based software (NanoPeakCell) for hit identification and processing with CrystFEL.

Main Results:

• Achieved high-resolution (1.7 Å) structural data from lysozyme microcrystals (up to 20 µm).
• Demonstrated successful data collection at room temperature, preventing crystal drying and minimizing background scattering.
• Validated the efficiency of the NanoPeakCell software for processing diverse crystallographic image formats.

Conclusions:

• Room-temperature raster-scanning serial micro- and nano-protein crystallography is a viable technique at synchrotrons.
• This approach offers an efficient, sample-sparing, and cost-effective alternative for structural analysis of microcrystals.
• The method minimizes background scattering and sample consumption, enhancing data quality and experimental throughput.