MeshAndCollect: an automated multi-crystal data-collection workflow for synchrotron macromolecular crystallography beamlines

Here, an automated procedure is described to identify the positions of many cryocooled crystals mounted on the same sample holder, to rapidly predict and rank their relative diffraction strengths and to collect partial X‐ray diffraction data sets from as many of the crystals as desired. Subsequent h...

Full description

Saved in:
Bibliographic Details
Published in:Acta crystallographica. Section D, Biological crystallography. Biological crystallography., 2015-11, Vol.71 (11), p.2328-2343
Main Authors: Zander, Ulrich, Bourenkov, Gleb, Popov, Alexander N., de Sanctis, Daniele, Svensson, Olof, McCarthy, Andrew A., Round, Ekaterina, Gordeliy, Valentin, Mueller-Dieckmann, Christoph, Leonard, Gordon A.
Format: Article
Language:English
Subjects:
Animals
Automation
Bacillus - chemistry
Bacteriorhodopsin
Bacteriorhodopsins - chemistry
Biochemistry, Molecular Biology
Bombyx - chemistry
Cluster Analysis
CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
CRYSTALLIZATION
Crystallization - methods
CRYSTALLOGRAPHY
Crystallography, X-Ray - methods
CRYSTALS
Datasets
Diffraction
Dispersions
Halobacterium salinarum - chemistry
hierarchical cluster analysis
Insect Proteins - chemistry
Life Sciences
macromolecular crystallography
Models, Molecular
multi-crystal data collection
Muramidase - chemistry
Particle physics
Plant Proteins - chemistry
Plants - chemistry
Proteins - chemistry
Research Papers
Structural Biology
synchrotron serial crystallography
SYNCHROTRONS
Thermolysin - chemistry
Workflow
X-RAY DIFFRACTION
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Here, an automated procedure is described to identify the positions of many cryocooled crystals mounted on the same sample holder, to rapidly predict and rank their relative diffraction strengths and to collect partial X‐ray diffraction data sets from as many of the crystals as desired. Subsequent hierarchical cluster analysis then allows the best combination of partial data sets, optimizing the quality of the final data set obtained. The results of applying the method developed to various systems and scenarios including the compilation of a complete data set from tiny crystals of the membrane protein bacteriorhodopsin and the collection of data sets for successful structure determination using the single‐wavelength anomalous dispersion technique are also presented.
ISSN:1399-0047
0907-4449
2059-7983
1399-0047
2059-7983
DOI:10.1107/S1399004715017927