Evidence map›Paper›PMID 24637746›Full record

ArticleActa crystallographica. Section F, Structural biology communications2014

Approaches to automated protein crystal harvesting.

Marc C Deller, Bernhard Rupp

Abstract read
In one paragraph

Article in Acta crystallographica. Section F, Structural biology communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Towards routine accurate electron-density studies of biological macromolecules.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Protein X-ray Crystallography and Drug Discovery.Molecules (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Article
  10. Using sound pulses to solve the crystal-harvesting bottleneck.Acta crystallographica. Section D, Structural biology · 2018
    Article
  11. Article
  12. Towards a compact and precise sample holder for macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2017
    Article
  13. Successful completion of a semi-automated enzyme-free cloning method.Journal of structural and functional genomics · 2016
    Article
  14. Automated harvesting and processing of protein crystals through laser photoablation.Acta crystallographica. Section D, Structural biology · 2016
    Article
  15. Fully automatic characterization and data collection from crystals of biological macromolecules.Acta crystallographica. Section D, Biological crystallography · 2015
    Article
  16. Article
  17. Practical macromolecular cryocrystallography.Acta crystallographica. Section F, Structural biology communications · 2015
    Review
  18. Article
  19. Article
  20. Automation in biological crystallization.Acta crystallographica. Section F, Structural biology communications · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Marc C DellerThe Joint Center for Structural Genomics, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.
Bernhard RuppDepartment of Forensic Crystallography, k.-k. Hofkristallamt, 991 Audrey Place, Vista, CA 92084, USA.

Funding

Structure Determination Core at SSRLU54GM094586 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI GODZIK, ADAM · 2010 to 2014
$40.1M
A Universal Micromanipulation Robot for CrystallographyR42GM073278 · NIGMS · SQUARE ONE SYSTEMS DESIGN · PI VIOLA, ROBERT · 2008 to 2009
$1.3M
NIGMS NIH HHS R42 GM073278NIGMS NIH HHS R42 GM073278-02A1NIGMS NIH HHS U54 GM094586
6 · The paper itself

Abstract

The harvesting of protein crystals is almost always a necessary step in the determination of a protein structure using X-ray crystallographic techniques. However, protein crystals are usually fragile and susceptible to damage during the harvesting process. For this reason, protein crystal harvesting is the single step that remains entirely dependent on skilled human intervention. Automation has been implemented in the majority of other stages of the structure-determination pipeline, including cloning, expression, purification, crystallization and data collection. The gap in automation between crystallization and data collection results in a bottleneck in throughput and presents unfortunate opportunities for crystal damage. Several automated protein crystal harvesting systems have been developed, including systems utilizing microcapillaries, microtools, microgrippers, acoustic droplet ejection and optical traps. However, these systems have yet to be commonly deployed in the majority of crystallography laboratories owing to a variety of technical and cost-related issues. Automation of protein crystal harvesting remains essential for harnessing the full benefits of fourth-generation synchrotrons, free-electron lasers and microfocus beamlines. Furthermore, automation of protein crystal harvesting offers several benefits when compared with traditional manual approaches, including the ability to harvest microcrystals, improved flash-cooling procedures and increased throughput.

Indexed as

AutomationCrystallizationCrystallography, X-RayProteinsSynchrotronsProteinsautomationprotein crystal harvesting

Identifiers

PMID24637746
PMCPMC3936438

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.