W0189
Experiences With Commercial Robots for High Throughput
Crystallization Effort for Structural Genomics. Ashit Shah, Florian
Schubot, Shu-Huey Chang, Doowon Lee, Wolfram Tempel, Zhi-Jie Liu, John P. Rose
and Bi-Cheng Wang, Southeast Collaboratory for Structural Genomics, Dept. of
Biochemistry and Molecular Biology, Univ. of Georgia, Athens, GA 30602.
In the past year, we have tested 106 Pyrococcus
furiosus and 6 human proteins in microbatch mode with Douglas ORYX1-6
crystallization robots using bar coded 72-well HLA plates. 76% (81/106 samples)
of the Pyrococcus and 50% (3/6 samples) of the human proteins have been
successfully crystallized. 31% (25) of the Pyrococcus protein crystals
and 67% (2) of the human protein crystals diffract better than 3Å
resolution. Initial screening was carried out using 288 conditions selected from
6 commercial sparse matrix screens – Crystal Screen, Memfac, Crystal
Screen Cryo and Peg Ion from Hampton Research, and Wizard I & II from
Emerald Biostructures. Crystallization conditions were then optimized using
in-house grid screens, additive screen and response surface methodology.
Reductive methylation of lysine’s was carried out for 12 proteins. Three
proteins which had failed to crystallize previously, produced crystals and new
crystallization conditions were obtained for four other proteins when their
lysine’s were methylated. The diffraction quality of Pfu-1147304 and
Pfu-1208389 has been improved by using Linkers. Crystallization results were
recorded into Emerald Biostructure’s Crystal Monitor database. To enhance
our crystallization and imaging capabilities, a Genomics Solutions Honeybee SD
crystallization robot (set up crystallization plates) and a Crystal Farm
harvesting robotic (store crystallization plates and auto/manually image the
droplets into a database) have been installed recently. Results and experiences
of using these commercially available robotic crystallization systems will be
reported.
Work is supported in part with funds from the National
Institute of Health (GM62407), The Georgia Research Alliance, and The University
of Georgia Research Foundation.