4.0 Article

Approaches to automated protein crystal harvesting

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INT UNION CRYSTALLOGRAPHY
DOI: 10.1107/S2053230X14000387

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Funding

  1. National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS), Protein Structure Initiative [U54 GM094586]
  2. NIH
  3. NIGMS under STTR Phase II Grant [R42 GM073278-02A1]
  4. European Union under FP7 Marie Curie People Action grant [PIIF-GA-2011-300025]

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The harvesting of protein crystals is almost always a necessary step in the determination of a protein structure using X-ray crystallographic techniques. However, protein crystals are usually fragile and susceptible to damage during the harvesting process. For this reason, protein crystal harvesting is the single step that remains entirely dependent on skilled human intervention. Automation has been implemented in the majority of other stages of the structure-determination pipeline, including cloning, expression, purification, crystallization and data collection. The gap in automation between crystallization and data collection results in a bottleneck in throughput and presents unfortunate opportunities for crystal damage. Several automated protein crystal harvesting systems have been developed, including systems utilizing microcapillaries, microtools, microgrippers, acoustic droplet ejection and optical traps. However, these systems have yet to be commonly deployed in the majority of crystallography laboratories owing to a variety of technical and cost-related issues. Automation of protein crystal harvesting remains essential for harnessing the full benefits of fourth-generation synchrotrons, free-electron lasers and microfocus beamlines. Furthermore, automation of protein crystal harvesting offers several benefits when compared with traditional manual approaches, including the ability to harvest microcrystals, improved flash-cooling procedures and increased throughput.

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