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A microscale protein NMR sample screening pipeline
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 ef...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797623/ https://www.ncbi.nlm.nih.gov/pubmed/19915800 http://dx.doi.org/10.1007/s10858-009-9386-z |
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author | Rossi, Paolo Swapna, G. V. T. Huang, Yuanpeng J. Aramini, James M. Anklin, Clemens Conover, Kenith Hamilton, Keith Xiao, Rong Acton, Thomas B. Ertekin, Asli Everett, John K. Montelione, Gaetano T. |
author_facet | Rossi, Paolo Swapna, G. V. T. Huang, Yuanpeng J. Aramini, James M. Anklin, Clemens Conover, Kenith Hamilton, Keith Xiao, Rong Acton, Thomas B. Ertekin, Asli Everett, John K. Montelione, Gaetano T. |
author_sort | Rossi, Paolo |
collection | PubMed |
description | 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 30–200 μg in 8–35 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-009-9386-z) contains supplementary material, which is available to authorized users. |
format | Text |
id | pubmed-2797623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-27976232009-12-29 A microscale protein NMR sample screening pipeline Rossi, Paolo Swapna, G. V. T. Huang, Yuanpeng J. Aramini, James M. Anklin, Clemens Conover, Kenith Hamilton, Keith Xiao, Rong Acton, Thomas B. Ertekin, Asli Everett, John K. Montelione, Gaetano T. J Biomol NMR Article 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 30–200 μg in 8–35 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-009-9386-z) contains supplementary material, which is available to authorized users. Springer Netherlands 2009-11-14 2010 /pmc/articles/PMC2797623/ /pubmed/19915800 http://dx.doi.org/10.1007/s10858-009-9386-z Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Rossi, Paolo Swapna, G. V. T. Huang, Yuanpeng J. Aramini, James M. Anklin, Clemens Conover, Kenith Hamilton, Keith Xiao, Rong Acton, Thomas B. Ertekin, Asli Everett, John K. Montelione, Gaetano T. A microscale protein NMR sample screening pipeline |
title | A microscale protein NMR sample screening pipeline |
title_full | A microscale protein NMR sample screening pipeline |
title_fullStr | A microscale protein NMR sample screening pipeline |
title_full_unstemmed | A microscale protein NMR sample screening pipeline |
title_short | A microscale protein NMR sample screening pipeline |
title_sort | microscale protein nmr sample screening pipeline |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797623/ https://www.ncbi.nlm.nih.gov/pubmed/19915800 http://dx.doi.org/10.1007/s10858-009-9386-z |
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