Crystallization and preliminary X-ray analysis of dmpFG-encoded 4-hydroxy-2-ketovalerate aldolase--aldehyde dehydrogenase (acylating) from Pseudomonas sp. strain CF600

Automated technologies and novel techniques to accelerate protein crystallography for structural genomics

The sequence infrastructure that has arisen through large-scale genomic projects dedicated to protein analysis, has provided a wealth of information and brought together scientists and institutions from all over the world. As a consequence, the development of novel technologies and methodologies in proteomics research is helping to unravel the biochemical and physiological mechanisms of complex multivariate diseases at both a functional and molecular level. In the late sixties, when X-ray crystallography had just been established, the idea of determining protein structure on an almost universal basis was akin to an impossible dream or a miracle. Yet only forty years after, automated protein structure determination platforms have been established. The widespread use of robotics in protein crystallography has had a huge impact at every stage of the pipeline from protein cloning, over-expression, purification, crystallization, data collection, structure solution, refinement, validation and data management- all of which have become more or less automated with minimal human intervention necessary. Here, recent advances in protein crystal structure analysis in the context of structural genomics will be discussed. In addition, this review aims to give an overview of recent developments in high throughput instrumentation, and technologies and strategies to accelerate protein structure/function analysis.

Crystal structure of a bifunctional aldolase-dehydrogenase: sequestering a reactive and volatile intermediate

The crystal structure of the bifunctional enzyme 4-hydroxy-2-ketovalerate aldolase (DmpG)/acylating acetaldehyde dehydrogenase (DmpF), which is involved in the bacterial degradation of toxic aromatic compounds, has been determined by multiwavelength anomalous dispersion (MAD) techniques and refined to 1.7-A resolution. Structures of the two polypeptides represent a previously unrecognized subclass of metal-dependent aldolases, and of a CoA-dependent dehydrogenase. The structure reveals a mixed state of NAD+ binding to the DmpF protomer. Domain movements associated with cofactor binding in the DmpF protomer may be correlated with channeling and activity at the DmpG protomer. In the presence of NAD+ a 29-A-long sequestered tunnel links the two active sites. Two barriers are visible along the tunnel and suggest control points for the movement of the reactive and volatile acetaldehyde intermediate between the two active sites.

New techniques in macromolecular cryocrystallography: macromolecular crystal annealing and cryogenic helium

Cryocrystallography is used today for almost all X-ray diffraction data collection at synchrotron beam lines, with rotating-anode generators, and micro X-ray sources. Despite the widespread use of flash-cooling to place macromolecular crystals in the cryogenic state, its use can ruin crystals, trips to the synchrotron, and sometimes even an entire project. Annealing of macromolecular crystals takes little time, requires no specialized equipment, and can save crystallographic projects that might otherwise end in failure. Annealing should be tried whenever initial flash-cooling causes an unacceptable increase in mosaicity, results in ice rings, fails to provide adequate diffraction quality, or causes a crystal to be positioned awkwardly. Overall, annealing improves the quality of data and overall success rate at synchrotron beam lines. Its use should be considered whenever problems arise with a flash-cooled crystal. Helium is a more efficient cryogen than nitrogen and will deliver lower temperatures. Experiments suggest that when crystals are cooled with He rather than N2, crystals maintain order and high-resolution data are less affected by increased radiation load. Individually or in combination, these two techniques can enhance the success of crystallographic data collection, and their use should be considered essential for high-throughput programs.