High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography

被引:3
作者
Budziszewski, Gabrielle R. [1 ]
Snell, M. Elizabeth [1 ]
Wright, Tiffany R. [1 ]
Lynch, Miranda L. [1 ]
Bowman, Sarah E. J. [1 ,2 ]
机构
[1] Hauptman Woodward Med Res Inst, Natl High Throughput Crystallizat Ctr, Buffalo, NY 14203 USA
[2] SUNY Buffalo, Jacobs Sch Med & Biomed Sci, Dept Biochem, Buffalo, NY 14023 USA
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2023年 / 193期
基金
美国国家卫生研究院;
关键词
CRYSTALLIZATION; PREDICTION; MICROBATCH;
D O I
10.3791/65211
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
X-ray crystallography is the most commonly employed technique to discern macromolecular structures, but the crucial step of crystallizing a protein into an ordered lattice amenable to diffraction remains challenging. The crystallization of biomolecules is largely experimentally defined, and this process can be labor-intensive and prohibitive to researchers at resource-limited institutions. At the National High -Throughput Crystallization (HTX) Center, highly reproducible methods have been implemented to facilitate crystal growth, including an automated high-throughput 1,536-well microbatch-under-oil plate setup designed to sample a wide breadth of crystallization parameters. Plates are monitored using state-of-the-art imaging modalities over the course of 6 weeks to provide insight into crystal growth, as well as to accurately distinguish valuable crystal hits. Furthermore, the implementation of a trained artificial intelligence scoring algorithm for identifying crystal hits, coupled with an open-source, user-friendly interface for viewing experimental images, streamlines the process of analyzing crystal growth images. Here, the key procedures and instrumentation are described for the preparation of the cocktails and crystallization plates, imaging the plates, and identifying hits in a way that ensures reproducibility and increases the likelihood of successful crystallization.
引用
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页数:17
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