Author: Walter, Thomas S.; Mayo, Chris J.; Brown, James; Carter, Lester; Diprose, Jonathan M.; Siebold, Christian; Pickford, Mike G.; Sutton, Geoff C.; Berrow, Nick S.; Berry, Ian M.; Stewartâ€Jones, Guillaume B. E.; Grimes, Jonathan M.; Stammers, David K.; Jones, E. Yvonne; Esnouf, Robert M.; Owens, Ray J.; Stuart, David I.; Harlos, Karl
Title: A procedure for setting up highâ€throughput nanolitre crystallization experiments. Crystallization workflow for initial screening, automated storage, imaging and optimization Cord-id: hqk9c92i Document date: 2005_6_16
ID: hqk9c92i
Snippet: Crystallization trials at the Division of Structural Biology in Oxford are now almost exclusively carried out using a highâ€throughput workflow implemented in the Oxford Protein Production Facility. Initial crystallization screening is based on nanolitreâ€scale sittingâ€drop vapourâ€diffusion experiments (typically 100 nl of protein plus 100 nl of reservoir solution per droplet) which use standard crystallization screening kits and 96â€well crystallization plates. For 294 K crystallization
Document: Crystallization trials at the Division of Structural Biology in Oxford are now almost exclusively carried out using a highâ€throughput workflow implemented in the Oxford Protein Production Facility. Initial crystallization screening is based on nanolitreâ€scale sittingâ€drop vapourâ€diffusion experiments (typically 100 nl of protein plus 100 nl of reservoir solution per droplet) which use standard crystallization screening kits and 96â€well crystallization plates. For 294 K crystallization trials the barcoded crystallization plates are entered into an automated storage system with a fully integrated imaging system. These plates are imaged in accordance with a preâ€programmed schedule and the resulting digital data for each droplet are harvested into a laboratory informationâ€management system (LIMS), scored by crystal recognition software and displayed for user analysis via a webâ€based interface. Currently, storage for trials at 277 K is not automated and for imaging the crystallization plates are fed by hand into an imaging system from which the data enter the LIMS. The workflow includes two procedures for nanolitreâ€scale optimization of crystallization conditions: (i) a protocol for variation of pH, reservoir dilution and protein:reservoir ratio and (ii) an additive screen. Experience based on 592 crystallization projects is reported.
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