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Title: High-density grids for efficient data collection from multiple crystals

Abstract

Higher throughput methods to mount and collect data from multiple small and radiation-sensitive crystals are important to support challenging structural investigations using microfocus synchrotron beamlines. Furthermore, efficient sample-delivery methods are essential to carry out productive femtosecond crystallography experiments at X-ray free-electron laser (XFEL) sources such as the Linac Coherent Light Source (LCLS). To address these needs, a high-density sample grid useful as a scaffold for both crystal growth and diffraction data collection has been developed and utilized for efficient goniometer-based sample delivery at synchrotron and XFEL sources. A single grid contains 75 mounting ports and fits inside an SSRL cassette or uni-puck storage container. The use of grids with an SSRL cassette expands the cassette capacity up to 7200 samples. Grids may also be covered with a polymer film or sleeve for efficient room-temperature data collection from multiple samples. New automated routines have been incorporated into theBlu-Ice/DCSSexperimental control system to support grids, including semi-automated grid alignment, fully automated positioning of grid ports, rastering and automated data collection. Specialized tools have been developed to support crystallization experiments on grids, including a universal adaptor, which allows grids to be filled by commercial liquid-handling robots, as well as incubation chambers, which support vapor-diffusionmore » and lipidic cubic phase crystallization experiments. Experiments in which crystals were loaded into grids or grown on grids using liquid-handling robots and incubation chambers are described. Crystals were screened at LCLS-XPP and SSRL BL12-2 at room temperature and cryogenic temperatures.« less

Authors:
 [1];  [1];  [1];  [2];  [3];  [1];  [4];  [2];  [5];  [6];  [7];  [7];  [8];  [9];  [4];  [4];  [10];  [1];  [4];  [4] more »;  [1];  [3];  [11];  [1];  [1];  [7];  [1];  [4];  [7];  [6];  [6];  [8];  [1] « less
+ Show Author Affiliations
  1. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. Univ. of Pittsburgh School of Medicine, Pittsburgh, PA (United States)
  3. Art Robbins Instruments, Sunnyvale, CA (United States)
  4. Stanford Univ., Stanford, CA (United States)
  5. Monash Univ., Melbourne, Victoria (Australia); Australian Synchrotron, Clayton, Melbourne, Victoria (Australia)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  7. Univ. of California, San Francisco, CA (United States)
  8. Humboldt-Univ. zu Berlin, Berlin (Germany)
  9. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  10. Stanford Univ. School of Medicine, Stanford, CA (United States)
  11. Monash Univ., Melbourne, Victoria (Australia)
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1234705
Alternate Identifier(s):
OSTI ID: 1379000
Grant/Contract Number:  
AC02-76SF00515; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Acta Crystallographica. Section D. Structural Biology
Additional Journal Information:
Journal Volume: 72; Journal Issue: 1; Journal ID: ISSN 2059-7983
Publisher:
IUCr
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; XFELs; high-throughput crystallography; serial crystallography; sample delivery; automation for sample-exchange robots

Citation Formats

Baxter, Elizabeth L., Aguila, Laura, Alonso-Mori, Roberto, Barnes, Christopher O., Bonagura, Christopher A., Brehmer, Winnie, Brunger, Axel T., Calero, Guillermo, Caradoc-Davies, Tom T., Chatterjee, Ruchira, Degrado, William F., Fraser, James S., Ibrahim, Mohamed, Kern, Jan, Kobilka, Brian K., Kruse, Andrew C., Larsson, Karl M., Lemke, Heinrik T., Lyubimov, Artem Y., Manglik, Aashish, McPhillips, Scott E., Norgren, Erik, Pang, Siew S., Soltis, S. M., Song, Jinhu, Thomaston, Jessica, Tsai, Yingssu, Weis, William I., Woldeyes, Rahel A., Yachandra, Vittal, Yano, Junko, Zouni, Athina, and Cohen, Aina E. High-density grids for efficient data collection from multiple crystals. United States: N. p., 2015. Web. doi:10.1107/S2059798315020847.
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Baxter, Elizabeth L., Aguila, Laura, Alonso-Mori, Roberto, Barnes, Christopher O., Bonagura, Christopher A., Brehmer, Winnie, Brunger, Axel T., Calero, Guillermo, Caradoc-Davies, Tom T., Chatterjee, Ruchira, Degrado, William F., Fraser, James S., Ibrahim, Mohamed, Kern, Jan, Kobilka, Brian K., Kruse, Andrew C., Larsson, Karl M., Lemke, Heinrik T., Lyubimov, Artem Y., Manglik, Aashish, McPhillips, Scott E., Norgren, Erik, Pang, Siew S., Soltis, S. M., Song, Jinhu, Thomaston, Jessica, Tsai, Yingssu, Weis, William I., Woldeyes, Rahel A., Yachandra, Vittal, Yano, Junko, Zouni, Athina, & Cohen, Aina E. High-density grids for efficient data collection from multiple crystals. United States. https://doi.org/10.1107/S2059798315020847
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Baxter, Elizabeth L., Aguila, Laura, Alonso-Mori, Roberto, Barnes, Christopher O., Bonagura, Christopher A., Brehmer, Winnie, Brunger, Axel T., Calero, Guillermo, Caradoc-Davies, Tom T., Chatterjee, Ruchira, Degrado, William F., Fraser, James S., Ibrahim, Mohamed, Kern, Jan, Kobilka, Brian K., Kruse, Andrew C., Larsson, Karl M., Lemke, Heinrik T., Lyubimov, Artem Y., Manglik, Aashish, McPhillips, Scott E., Norgren, Erik, Pang, Siew S., Soltis, S. M., Song, Jinhu, Thomaston, Jessica, Tsai, Yingssu, Weis, William I., Woldeyes, Rahel A., Yachandra, Vittal, Yano, Junko, Zouni, Athina, and Cohen, Aina E. Tue . "High-density grids for efficient data collection from multiple crystals". United States. https://doi.org/10.1107/S2059798315020847. https://www.osti.gov/servlets/purl/1234705.
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@article{osti_1234705,
title = {High-density grids for efficient data collection from multiple crystals},
author = {Baxter, Elizabeth L. and Aguila, Laura and Alonso-Mori, Roberto and Barnes, Christopher O. and Bonagura, Christopher A. and Brehmer, Winnie and Brunger, Axel T. and Calero, Guillermo and Caradoc-Davies, Tom T. and Chatterjee, Ruchira and Degrado, William F. and Fraser, James S. and Ibrahim, Mohamed and Kern, Jan and Kobilka, Brian K. and Kruse, Andrew C. and Larsson, Karl M. and Lemke, Heinrik T. and Lyubimov, Artem Y. and Manglik, Aashish and McPhillips, Scott E. and Norgren, Erik and Pang, Siew S. and Soltis, S. M. and Song, Jinhu and Thomaston, Jessica and Tsai, Yingssu and Weis, William I. and Woldeyes, Rahel A. and Yachandra, Vittal and Yano, Junko and Zouni, Athina and Cohen, Aina E.},
abstractNote = {Higher throughput methods to mount and collect data from multiple small and radiation-sensitive crystals are important to support challenging structural investigations using microfocus synchrotron beamlines. Furthermore, efficient sample-delivery methods are essential to carry out productive femtosecond crystallography experiments at X-ray free-electron laser (XFEL) sources such as the Linac Coherent Light Source (LCLS). To address these needs, a high-density sample grid useful as a scaffold for both crystal growth and diffraction data collection has been developed and utilized for efficient goniometer-based sample delivery at synchrotron and XFEL sources. A single grid contains 75 mounting ports and fits inside an SSRL cassette or uni-puck storage container. The use of grids with an SSRL cassette expands the cassette capacity up to 7200 samples. Grids may also be covered with a polymer film or sleeve for efficient room-temperature data collection from multiple samples. New automated routines have been incorporated into theBlu-Ice/DCSSexperimental control system to support grids, including semi-automated grid alignment, fully automated positioning of grid ports, rastering and automated data collection. Specialized tools have been developed to support crystallization experiments on grids, including a universal adaptor, which allows grids to be filled by commercial liquid-handling robots, as well as incubation chambers, which support vapor-diffusion and lipidic cubic phase crystallization experiments. Experiments in which crystals were loaded into grids or grown on grids using liquid-handling robots and incubation chambers are described. Crystals were screened at LCLS-XPP and SSRL BL12-2 at room temperature and cryogenic temperatures.},
doi = {10.1107/S2059798315020847},
journal = {Acta Crystallographica. Section D. Structural Biology},
number = 1,
volume = 72,
place = {United States},
year = {Tue Nov 03 00:00:00 EST 2015},
month = {Tue Nov 03 00:00:00 EST 2015}
}
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    A fixed-target platform for serial femtosecond crystallography in a hydrated environment
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    Long-wavelength native-SAD phasing: opportunities and challenges
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    Strategies for sample delivery for femtosecond crystallography
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