UV laser-excited fluorescence as a tool for the visualization of protein crystals mounted in loops

被引:55
作者
Vernede, X
Lavault, B
Ohana, J
Nurizzo, D
Joly, J
Jacquamet, L
Felisaz, F
Cipriani, F
Bourgeois, D
机构
[1] IBS CEA CNRS UJF, LCCP, UMR 5075, F-38027 Grenoble 1, France
[2] European Mol Biol Lab, F-38042 Grenoble 9, France
[3] European Synchrotron Radiat Facil, F-38043 Grenoble, France
来源
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY | 2006年 / 62卷
关键词
D O I
10.1107/S0907444905041429
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Structural proteomics has promoted the rapid development of automated protein structure determination using X-ray crystallography. Robotics are now routinely used along the pipeline from genes to protein structures. However, a bottleneck still remains. At synchrotron beamlines, the success rate of automated sample alignment along the X-ray beam is limited by difficulties in visualization of protein crystals, especially when they are small and embedded in mother liquor. Despite considerable improvement in optical microscopes, the use of visible light transmitted or reflected by the sample may result in poor or misleading contrast. Here, the endogenous fluorescence from aromatic amino acids has been used to identify even tiny or weakly fluorescent crystals with a high success rate. The use of a compact laser at 266 nm in combination with non-fluorescent sample holders provides an efficient solution to collect high-contrast fluorescence images in a few milliseconds and using standard camera optics. The best image quality was obtained with direct illumination through a viewing system coaxial with the UV beam. Crystallographic data suggest that the employed UV exposures do not generate detectable structural damage.
引用
收藏
页码:253 / 261
页数:9
相关论文
共 32 条
[11]   An ultraviolet fluorescence-based method for identifying and distinguishing protein crystals [J].
Judge, RA ;
Swift, K ;
González, C .
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY, 2005, 61 :60-66
[12]   Automated mounting, centering and screening of crystals for high-throughput protein crystallography [J].
Karain, WI ;
Bourenkov, GP ;
Blume, H ;
Bartunik, HD .
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY, 2002, 58 :1519-1522
[13]  
Kim Youngchang, 2004, Journal of Structural and Functional Genomics, V5, P111, DOI 10.1023/B:JSFG.0000029206.07778.fc
[14]   AUTOMATED REFINEMENT OF PROTEIN MODELS [J].
LAMZIN, VS ;
WILSON, KS .
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY, 1993, 49 :129-147
[15]   Structural genomics of the Thermotoga maritima proteome implemented in a high-throughput structure determination pipeline [J].
Lesley, SA ;
Kuhn, P ;
Godzik, A ;
Deacon, AM ;
Mathews, I ;
Kreusch, A ;
Spraggon, G ;
Klock, HE ;
McMullan, D ;
Shin, T ;
Vincent, J ;
Robb, A ;
Brinen, LS ;
Miller, MD ;
McPhillips, TM ;
Miller, MA ;
Scheibe, D ;
Canaves, JM ;
Guda, C ;
Jaroszewski, L ;
Selby, TL ;
Elsliger, MA ;
Wooley, J ;
Taylor, SS ;
Hodgson, KO ;
Wilson, IA ;
Schultz, PG ;
Stevens, RC .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (18) :11664-11669
[16]   Parameter-space screening: a powerful tool for high-throughput crystal structure determination [J].
Liu, ZJ ;
Lin, DW ;
Tempel, W ;
Praissman, JL ;
Rose, JP ;
Wang, BC .
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2005, 61 :520-527
[17]  
McPherson Alexander, 2004, Journal of Structural and Functional Genomics, V5, P3, DOI 10.1023/B:JSFG.0000029199.43875.92
[18]   Raster3D: Photorealistic molecular graphics [J].
Merritt, EA ;
Bacon, DJ .
MACROMOLECULAR CRYSTALLOGRAPHY, PT B, 1997, 277 :505-524
[19]   Refinement of macromolecular structures by the maximum-likelihood method [J].
Murshudov, GN ;
Vagin, AA ;
Dodson, EJ .
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 1997, 53 :240-255
[20]   CRANK: New methods for automated macromolecular crystal structure solution [J].
Ness, SR ;
de Graaff, RAG ;
Abrahams, JP ;
Pannu, NS .
STRUCTURE, 2004, 12 (10) :1753-1761