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Unread 01-09-2011, 12:46 PM
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Default A microscale protein NMR sample screening pipeline

A microscale protein NMR sample screening pipeline


Abstract As part of efforts to develop improved methods for NMR protein sample preparation and structure determination, the Northeast Structural Genomics Consortium (NESG) has implemented an NMR screening pipeline for protein target selection, construct optimization, and buffer optimization, incorporating efficient microscale NMR screening of proteins using a micro-cryoprobe. The process is feasible because the newest generation probe requires only small amounts of protein, typically 30â??200 μg in 8â??35 μl volume. Extensive automation has been made possible by the combination of database tools, mechanization of key process steps, and the use of a micro-cryoprobe that gives excellent data while requiring little optimization and manual setup. In this perspective, we describe the overall process used by the NESG for screening NMR samples as part of a sample optimization process, assessing optimal construct design and solution conditions, as well as for determining protein rotational correlation times in order to assess protein oligomerization states. Database infrastructure has been developed to allow for flexible implementation of new screening protocols and harvesting of the resulting output. The NESG micro NMR screening pipeline has also been used for detergent screening of membrane proteins. Descriptions of the individual steps in the NESG NMR sample design, production, and screening pipeline are presented in the format of a standard operating procedure.
  • Content Type Journal Article
  • Pages 11-22
  • DOI 10.1007/s10858-009-9386-z
  • Authors
    • Paolo Rossi, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • G. V. T. Swapna, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Yuanpeng J. Huang, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • James M. Aramini, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Clemens Anklin, Bruker Biospin Corporation 15 Fortune Drive Billerica MA 01821 USA
    • Kenith Conover, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Keith Hamilton, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Rong Xiao, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Thomas B. Acton, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Asli Ertekin, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • John K. Everett, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA
    • Gaetano T. Montelione, The State University of New Jersey Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers 679 Hoes Lane Piscataway NJ 08854 USA

Source: Journal of Biomolecular NMR
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