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omation mbers - Society for Laboratory Automation and Screening

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9:00 am Wednesday, February 4 Proteomics – Structural Room B1<br />

John A. Adams<br />

RoboDesign International, Inc.<br />

5120 Pasteur Court<br />

Carlsbad, Cali<strong>for</strong>nia 92008<br />

jadams@robodesign.com<br />

Automated Protein Crystallization System<br />

85<br />

Co-Author(s)<br />

Janet M. Newman, David W. Jewell,<br />

John K. Hoffman, M<strong>and</strong>el W. Mickley<br />

A complete, intermediate-sized (1100 plates), dual temperature, automated protein crystallization plat<strong>for</strong>m<br />

consisting of automated small-volume pipetting, automatic plate incubation, storage <strong>and</strong> retrieval, automatic drop<br />

imaging, database cataloging, analysis <strong>and</strong> classification, plus a closed-loop crystal trial experiment <strong>and</strong> trial<br />

optimization database that seamlessly connects all of the sub-system software <strong>and</strong> hardware. This system enables<br />

users to set up initial screens using st<strong>and</strong>ard screen blocks or to make custom initial screens, automatically make<br />

the experimental plates <strong>and</strong> have them transferred into incubation, imaged, analyzed, <strong>and</strong> classified based upon a<br />

user defined schedule. These results <strong>for</strong>m the basis <strong>for</strong> an intelligent plat<strong>for</strong>m that can be used to more quickly <strong>and</strong><br />

efficiently determine optimal protein crystal growth conditions.<br />

9:30 am Wednesday, February 4 Proteomics – Structural Room B1<br />

Brent Segelke<br />

Lawrence Livermore National <strong>Laboratory</strong><br />

7000 East Avenue<br />

Livermore, Cali<strong>for</strong>nia 94551<br />

segelke1@llnl.gov<br />

Automated Combinatorial Protein Crystallization <strong>Screening</strong><br />

Co-Author(s)<br />

Dominique Toppani, Tim Lekin, Bernhard Rupp<br />

Lawrence Livermore National <strong>Laboratory</strong><br />

Mary Cornett, Joel McComb<br />

Innovadyne Technologies, Inc.<br />

By considering crystal screening as a sampling problem, we have previously demonstrated, by probability theory,<br />

the inherent efficiency of stochastic combinatorial screening (Segelke, J. Crystal Growth 2000). While efficient in<br />

principal, stochastic combinatorial screening is difficult to automate in practice. Robotic liquid h<strong>and</strong>ling instruments<br />

are generally designed <strong>for</strong> high throughput mother-daughter transfers or <strong>for</strong> lower throughput, though versatile, rearraying.<br />

A new 96-tip, non-contact, liquid h<strong>and</strong>ling instrument by Innovdyne makes high throughput automated<br />

crystallization screening, on the fly, possible. The instrument is equipped with 96, independently actuated, noncontact,<br />

nano-dispensing tips. The Independent actuation enables any source any destination liquid h<strong>and</strong>ling.<br />

With a software experimental design engine, CRYSTOOL, aspirate/dispense operations are generated on the<br />

fly <strong>and</strong> passed to the instrument at run-time. Stock reagents arrayed in 96-well deep well blocks are aspirated<br />

simultaneously <strong>and</strong> dispensed in the r<strong>and</strong>om order <strong>and</strong> volume prescribed by worklists generated by the design<br />

engine. The instrument also maintains high precision over a broad range of volumes <strong>and</strong> viscosities, delivering<br />

exceptional versatility <strong>for</strong> types, concentrations, <strong>and</strong> ratios of components used in custom combinatorial screens.<br />

The same instrument can be used <strong>for</strong> rapid setup of vapor diffusion or microbatch crystallization experiments from<br />

premade screens or <strong>for</strong> the setup of grid optimization screens.<br />

PODIUM ABSTRACTS

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