ArticleJournal of applied crystallography2016
A crystallization apparatus for temperature-controlled flow-cell dialysis with real-time visualization.
Article in Journal of applied crystallography, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Crystallography of Enzymes: A Retrospective and Beyond.Crystals · 2025Article
- Exploring the potential of a bioassembler for protein crystallization in space.NPJ microgravity · 2025Article
- Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics.Crystal growth & design · 2021Article
- Optimization of crystallization of biological macromolecules using dialysis combined with temperature control.Journal of applied crystallography · 2020Article
- Perdeuteration, large crystal growth and neutron data collection of Leishmania mexicana triose-phosphate isomerase E65Q variant.Acta crystallographica. Section F, Structural biology communications · 2019Article
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Authors and funding
6 authors.
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Abstract
Many instrumentation developments in crystallization have concentrated on massive parallelization assays and reduction of sample volume per experiment to find initial crystallization conditions. Yet improving the size and diffraction quality of the crystals for diffraction studies often requires decoupling of crystal nucleation and growth. This in turn requires the control of variables such as precipitant and protein concentration, equilibration rate, and temperature, which are all difficult parameters to control in the existing setups. The success of the temperature-controlled batch method, originally developed to grow very large crystals for neutron crystallography, demonstrated that the rational optimization of crystal growth has potential in structural biology. A temperature-controlled dialysis button has been developed for our previous device, and a prototype of an integrated apparatus for the rational optimization of crystal growth by mapping and manipulating temperature-precipitant concentration phase diagrams has been constructed. The presented approach differs from the current paradigm, since it involves serial instead of parallel experiments, exploring multiple crystallization conditions with the same protein sample. The sample is not consumed in the experiment and the conditions can be changed in a reversible fashion, using dialysis with a flowing precipitant reservoir as well as precise temperature control. The control software allows visualization of the crystals, as well as control of the temperature and composition of the crystallization solution. The rational crystallization optimization strategies presented here allow tailoring of crystal size, morphology and diffraction quality, significantly reducing the time, effort and amount of expensive protein material required for structure determination.
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